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\n \n 2025\n \n \n (13)\n \n \n
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\n\n \n \n \n \n \n Multi-task learning for automated contouring and dose prediction in radiotherapy.\n \n \n \n\n\n \n Kim, S., Khalifa, A., Purdie, T. G, & McIntosh, C.\n\n\n \n\n\n\n
Physics in Medicine & Biology, 70(5): 055007. 2025.\n
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@article{kim2025multi,\n title={Multi-task learning for automated contouring and dose prediction in radiotherapy},\n author={Kim, Sangwook and Khalifa, Aly and Purdie, Thomas G and McIntosh, Chris},\n journal={Physics in Medicine \\& Biology},\n volume={70},\n number={5},\n pages={055007},\n year={2025},\n publisher={IOP Publishing}\n}\n\n\n
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\n\n \n \n \n \n \n Non-invasive liver fibrosis screening on CT images using radiomics.\n \n \n \n\n\n \n Yoo, J. J, Namdar, K., Carey, S., Fischer, S. E, McIntosh, C., Khalvati, F., & Rogalla, P.\n\n\n \n\n\n\n
BMC Medical Imaging, 25(1): 285. 2025.\n
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@article{yoo2025non,\n title={Non-invasive liver fibrosis screening on CT images using radiomics},\n author={Yoo, Jay J and Namdar, Khashayar and Carey, Sean and Fischer, Sandra E and McIntosh, Chris and Khalvati, Farzad and Rogalla, Patrik},\n journal={BMC Medical Imaging},\n volume={25},\n number={1},\n pages={285},\n year={2025},\n publisher={BioMed Central London}\n}\n\n\n
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\n\n \n \n \n \n \n X2CT-CLIP: Enable Multi-Abnormality Detection in Computed Tomography from Chest Radiography via Tri-Modal Contrastive Learning.\n \n \n \n\n\n \n You, J., Gao, Y., Kim, S., & Mcintosh, C.\n\n\n \n\n\n\n
arXiv preprint arXiv:2503.02162. 2025.\n
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@article{you2025x2ct,\n title={X2CT-CLIP: Enable Multi-Abnormality Detection in Computed Tomography from Chest Radiography via Tri-Modal Contrastive Learning},\n author={You, Jianzhong and Gao, Yuan and Kim, Sangwook and Mcintosh, Chris},\n journal={arXiv preprint arXiv:2503.02162},\n year={2025}\n}\n\n\n
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\n\n \n \n \n \n \n Developments in Digital Wearable in Heart Failure and the Rationale for the Design of TRUE-HF (Ted Rogers Understanding of Exacerbations in Heart Failure) Apple CPET Study.\n \n \n \n\n\n \n Moayedi, Y., Foroutan, F., Gao, Y., Kim, B., De Luca, E., Brum, M., Brahmbhatt, D. H, Duhamel, J., Simard, A., McIntosh, C., & others\n\n\n \n\n\n\n
Circulation: Heart Failure,e012204. 2025.\n
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@article{moayedi2025developments,\n title={Developments in Digital Wearable in Heart Failure and the Rationale for the Design of TRUE-HF (Ted Rogers Understanding of Exacerbations in Heart Failure) Apple CPET Study},\n author={Moayedi, Yasbanoo and Foroutan, Farid and Gao, Yuan and Kim, Ben and De Luca, Enza and Brum, Margaret and Brahmbhatt, Darshan H and Duhamel, Joe and Simard, Anne and McIntosh, Christopher and others},\n journal={Circulation: Heart Failure},\n pages={e012204},\n year={2025},\n publisher={Lippincott Williams \\& Wilkins Hagerstown, MD}\n}\n\n\n
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\n\n \n \n \n \n \n Development and Validation of a Deep Learning-based Segmentation Method for Fenestration Marker and Graft Body Identification in fenestrated Endovascular Aortic Repair.\n \n \n \n\n\n \n Akouris, P. P, Kim, S., McIntosh, C., & Crawford, S. A\n\n\n \n\n\n\n
Journal of Vascular Surgery, 81(6): e140. 2025.\n
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@article{akouris2025development,\n title={Development and Validation of a Deep Learning-based Segmentation Method for Fenestration Marker and Graft Body Identification in fenestrated Endovascular Aortic Repair},\n author={Akouris, Polycronis P and Kim, Sangwook and McIntosh, Chris and Crawford, Sean A},\n journal={Journal of Vascular Surgery},\n volume={81},\n number={6},\n pages={e140},\n year={2025},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n 2058 Robustness of predictive foundation model features in head and neck cancer.\n \n \n \n\n\n \n Scott, K. L, Kim, S., Joseph, J. J, Alim, M., Boccalon, M., Welch, M., McIntosh, C., Rey-McIntyre, K., Huang, S. H., Patel, T., & others\n\n\n \n\n\n\n
Radiotherapy and Oncology, 206: S3393–S3395. 2025.\n
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@article{scott20252058,\n title={2058 Robustness of predictive foundation model features in head and neck cancer},\n author={Scott, Katy L and Kim, Sejin and Joseph, Jermiah J and Alim, Mogtaba and Boccalon, Matthew and Welch, Mattea and McIntosh, Chris and Rey-McIntyre, Katrina and Huang, Shao Hui and Patel, Tirth and others},\n journal={Radiotherapy and Oncology},\n volume={206},\n pages={S3393--S3395},\n year={2025},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n 3304 Outcomes for Human versus Machine Learning Prostate-Only Radiation Therapy Treatment Planning.\n \n \n \n\n\n \n Winter, J. D, Conroy, L., Ramotar, M., Santiago, A. T, Catton, C., Chung, P., Mcintosh, C., Purdie, T. G, & Berlin, A.\n\n\n \n\n\n\n
Radiotherapy and Oncology, 206: S3420–S3421. 2025.\n
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@article{winter20253304,\n title={3304 Outcomes for Human versus Machine Learning Prostate-Only Radiation Therapy Treatment Planning},\n author={Winter, Jeff D and Conroy, Leigh and Ramotar, Matthew and Santiago, Anna T and Catton, Charles and Chung, Peter and Mcintosh, Chris and Purdie, Thomas G and Berlin, Ale},\n journal={Radiotherapy and Oncology},\n volume={206},\n pages={S3420--S3421},\n year={2025},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n Personalized survival benefit estimation from living donor liver transplantation with a novel machine learning method for confounding adjustment.\n \n \n \n\n\n \n Gangadhar, A., Hasjim, B. J, Zhao, X., Sun, Y., Chon, J., Sidhu, A., Jaeckel, E., Selzner, N., Cattral, M. S, Sayed, B. A, & others\n\n\n \n\n\n\n
Journal of Hepatology. 2025.\n
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@article{gangadhar2025personalized,\n title={Personalized survival benefit estimation from living donor liver transplantation with a novel machine learning method for confounding adjustment},\n author={Gangadhar, Anirudh and Hasjim, Bima J and Zhao, Xun and Sun, Yingji and Chon, Joseph and Sidhu, Aman and Jaeckel, Elmar and Selzner, Nazia and Cattral, Mark S and Sayed, Blayne A and others},\n journal={Journal of Hepatology},\n year={2025},\n publisher={Elsevier}\n}\n\n\n
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\n \n 2024\n \n \n (23)\n \n \n
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\n\n \n \n \n \n \n A prospective study of machine learning-assisted radiation therapy planning for patients receiving 54 Gy to the brain.\n \n \n \n\n\n \n Tsang, D. S, Tsui, G., Santiago, A. T, Keller, H., Purdie, T., Mcintosh, C., Bauman, G., La Macchia, N., Parent, A., Dama, H., & others\n\n\n \n\n\n\n
International Journal of Radiation Oncology* Biology* Physics, 119(5): 1429–1436. 2024.\n
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@article{tsang2024prospective,\n title={A prospective study of machine learning-assisted radiation therapy planning for patients receiving 54 Gy to the brain},\n author={Tsang, Derek S and Tsui, Grace and Santiago, Anna T and Keller, Harald and Purdie, Thomas and Mcintosh, Chris and Bauman, Glenn and La Macchia, Nancy and Parent, Amy and Dama, Hitesh and others},\n journal={International Journal of Radiation Oncology* Biology* Physics},\n volume={119},\n number={5},\n pages={1429--1436},\n year={2024},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n Incremental value of machine learning for risk prediction in tetralogy of Fallot.\n \n \n \n\n\n \n Ishikita, A., McIntosh, C., Roche, S L., Barron, D. J, Oechslin, E., Benson, L., Nair, K., Lee, M. M, Gritti, M. N, Hanneman, K., & others\n\n\n \n\n\n\n
Heart, 110(8): 560–568. 2024.\n
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@article{ishikita2024incremental,\n title={Incremental value of machine learning for risk prediction in tetralogy of Fallot},\n author={Ishikita, Ayako and McIntosh, Chris and Roche, S Lucy and Barron, David J and Oechslin, Erwin and Benson, Lee and Nair, Krishnakumar and Lee, Myunghyun M and Gritti, Michael N and Hanneman, Kate and others},\n journal={Heart},\n volume={110},\n number={8},\n pages={560--568},\n year={2024},\n publisher={BMJ Publishing Group Ltd and British Cardiovascular Society}\n}\n\n\n
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\n\n \n \n \n \n \n Lipidomic-based approach to 10 s classification of major pediatric brain cancer types with picosecond infrared laser mass spectrometry.\n \n \n \n\n\n \n Woolman, M., Kiyota, T., Belgadi, S. A, Fujita, N., Fiorante, A., Ramaswamy, V., Daniels, C., Rutka, J. T, McIntosh, C., Munoz, D. G, & others\n\n\n \n\n\n\n
Analytical Chemistry, 96(3): 1019–1028. 2024.\n
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@article{woolman2024lipidomic,\n title={Lipidomic-based approach to 10 s classification of major pediatric brain cancer types with picosecond infrared laser mass spectrometry},\n author={Woolman, Michael and Kiyota, Taira and Belgadi, Siham A and Fujita, Naohide and Fiorante, Alexa and Ramaswamy, Vijay and Daniels, Craig and Rutka, James T and McIntosh, Chris and Munoz, David G and others},\n journal={Analytical Chemistry},\n volume={96},\n number={3},\n pages={1019--1028},\n year={2024},\n publisher={American Chemical Society}\n}\n\n\n
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\n\n \n \n \n \n \n 98 An open-source foundation for head and neck radiomics.\n \n \n \n\n\n \n Scott, K. L, Kim, S., Joseph, J. J, Boccalon, M., Welch, M., Yousafzai, U., Smith, I., McIntosh, C., Rey-McIntyre, K., Huang, S. H., & others\n\n\n \n\n\n\n
Radiotherapy and Oncology, 192: S22–S25. 2024.\n
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@article{scott202498,\n title={98 An open-source foundation for head and neck radiomics},\n author={Scott, Katy L and Kim, Sejin and Joseph, Jermiah J and Boccalon, Matthew and Welch, Mattea and Yousafzai, Umar and Smith, Ian and McIntosh, Chris and Rey-McIntyre, Katrina and Huang, Shao Hui and others},\n journal={Radiotherapy and Oncology},\n volume={192},\n pages={S22--S25},\n year={2024},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data.\n \n \n \n\n\n \n Ong Ly, C., Unnikrishnan, B., Tadic, T., Patel, T., Duhamel, J., Kandel, S., Moayedi, Y., Brudno, M., Hope, A., Ross, H., & others\n\n\n \n\n\n\n
NPJ digital medicine, 7(1): 124. 2024.\n
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@article{ong2024shortcut,\n title={Shortcut learning in medical AI hinders generalization: method for estimating AI model generalization without external data},\n author={Ong Ly, Cathy and Unnikrishnan, Balagopal and Tadic, Tony and Patel, Tirth and Duhamel, Joe and Kandel, Sonja and Moayedi, Yasbanoo and Brudno, Michael and Hope, Andrew and Ross, Heather and others},\n journal={NPJ digital medicine},\n volume={7},\n number={1},\n pages={124},\n year={2024},\n publisher={Nature Publishing Group UK London}\n}\n\n\n
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\n\n \n \n \n \n \n Unlocking tomorrow’s health care: expanding the clinical scope of wearables by applying artificial intelligence.\n \n \n \n\n\n \n Marvasti, T. B., Gao, Y., Murray, K. R, Hershman, S., McIntosh, C., & Moayedi, Y.\n\n\n \n\n\n\n
Canadian Journal of Cardiology, 40(10): 1934–1945. 2024.\n
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@article{marvasti2024unlocking,\n title={Unlocking tomorrow’s health care: expanding the clinical scope of wearables by applying artificial intelligence},\n author={Marvasti, Tina Binesh and Gao, Yuan and Murray, Kevin R and Hershman, Steve and McIntosh, Chris and Moayedi, Yasbanoo},\n journal={Canadian Journal of Cardiology},\n volume={40},\n number={10},\n pages={1934--1945},\n year={2024},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n MEDBind: Unifying Language and Multimodal Medical Data Embeddings.\n \n \n \n\n\n \n Gao, Y., Kim, S., Austin, D. E, & McIntosh, C.\n\n\n \n\n\n\n In
International Conference on Medical Image Computing and Computer-Assisted Intervention, pages 218–228, 2024. Springer Nature Switzerland Cham\n
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@inproceedings{gao2024medbind,\n title={MEDBind: Unifying Language and Multimodal Medical Data Embeddings},\n author={Gao, Yuan and Kim, Sangwook and Austin, David E and McIntosh, Chris},\n booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},\n pages={218--228},\n year={2024},\n organization={Springer Nature Switzerland Cham}\n}\n\n\n
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\n\n \n \n \n \n \n Machine learning automated treatment planning for online magnetic resonance guided adaptive radiotherapy of prostate cancer.\n \n \n \n\n\n \n Khalifa, A., Winter, J. D, Tadic, T., Purdie, T. G, & McIntosh, C.\n\n\n \n\n\n\n
Physics and Imaging in Radiation Oncology, 32: 100649. 2024.\n
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@article{khalifa2024machine,\n title={Machine learning automated treatment planning for online magnetic resonance guided adaptive radiotherapy of prostate cancer},\n author={Khalifa, Aly and Winter, Jeff D and Tadic, Tony and Purdie, Thomas G and McIntosh, Chris},\n journal={Physics and Imaging in Radiation Oncology},\n volume={32},\n pages={100649},\n year={2024},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n Accuracy of Chronic Lung Allograft Dysfunction (CLAD) Identification and Phenotyping by Computed Tomography Using a Novel Machine Learning Algorithm.\n \n \n \n\n\n \n He, T, Sangwook, K, McQuade, C, Dianti, M, Chow, C., McIntosh, C, Martinu, T, & McInnis, M\n\n\n \n\n\n\n In
B47. LUNG TRANSPLANT, pages A3714–A3714. American Thoracic Society, 2024.\n
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@incollection{he2024accuracy,\n title={Accuracy of Chronic Lung Allograft Dysfunction (CLAD) Identification and Phenotyping by Computed Tomography Using a Novel Machine Learning Algorithm},\n author={He, T and Sangwook, K and McQuade, C and Dianti, M and Chow, C-W and McIntosh, C and Martinu, T and McInnis, M},\n booktitle={B47. LUNG TRANSPLANT},\n pages={A3714--A3714},\n year={2024},\n publisher={American Thoracic Society}\n}\n\n\n
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\n\n \n \n \n \n \n Clinical Outcomes for Standard of Care Machine Learning Prostate Radiotherapy Treatment Planning.\n \n \n \n\n\n \n Winter, J, Conroy, L, Ramotar, M, Santiago, A., Catton, C, Chung, P, McIntosh, C, Purdie, T., & Berlin, A\n\n\n \n\n\n\n
International Journal of Radiation Oncology, Biology, Physics, 120(2): S19. 2024.\n
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@article{winter2024clinical,\n title={Clinical Outcomes for Standard of Care Machine Learning Prostate Radiotherapy Treatment Planning},\n author={Winter, J and Conroy, L and Ramotar, M and Santiago, AT and Catton, C and Chung, P and McIntosh, C and Purdie, TG and Berlin, A},\n journal={International Journal of Radiation Oncology, Biology, Physics},\n volume={120},\n number={2},\n pages={S19},\n year={2024},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n Dosimetric Predictors of Radiation Pneumonitis in Locally Advanced Non-Small Cell Lung Cancer Patients with Artificial-Intelligence Screened Interstitial Lung Disease.\n \n \n \n\n\n \n Bacon, H., McNeil, N., Patel, T., Welch, M., Ye, X. Y, Bezjak, A., Lok, B. H, Raman, S., Giuliani, M., Cho, J., & others\n\n\n \n\n\n\n
International Journal of Radiation Oncology, Biology, Physics, 120(2): e609–e610. 2024.\n
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@article{bacon2024dosimetric,\n title={Dosimetric Predictors of Radiation Pneumonitis in Locally Advanced Non-Small Cell Lung Cancer Patients with Artificial-Intelligence Screened Interstitial Lung Disease},\n author={Bacon, Hannah and McNeil, Nicholas and Patel, Tirth and Welch, Mattea and Ye, Xiang Y and Bezjak, Andrea and Lok, Benjamin H and Raman, Srinivas and Giuliani, ME and Cho, John and others},\n journal={International Journal of Radiation Oncology, Biology, Physics},\n volume={120},\n number={2},\n pages={e609--e610},\n year={2024},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n Development of Machine Learning Algorithms from Computed Tomography Images to Predict Catastrophic Airway Events in Patients with Cancers in the Aerodigestive Tract.\n \n \n \n\n\n \n Bacon, H, Daniel, R, McInnis, M, McIntosh, C, Tsai, C., & Yao, C.\n\n\n \n\n\n\n
International Journal of Radiation Oncology, Biology, Physics, 120(2): e609. 2024.\n
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@article{bacon2024development,\n title={Development of Machine Learning Algorithms from Computed Tomography Images to Predict Catastrophic Airway Events in Patients with Cancers in the Aerodigestive Tract},\n author={Bacon, H and Daniel, R and McInnis, M and McIntosh, C and Tsai, CJ and Yao, CM},\n journal={International Journal of Radiation Oncology, Biology, Physics},\n volume={120},\n number={2},\n pages={e609},\n year={2024},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n A confounder debiasing method for RCT-like comparability enables Machine Learning-based personalization of survival benefit in living donor liver transplantation.\n \n \n \n\n\n \n Gangadhar, A., Hasjim, B. J, Zhao, X., Sun, Y., Chon, J., Sidhu, A., Jaeckel, E., Selzner, N., Cattral, M. S, Sayed, B. A, & others\n\n\n \n\n\n\n
medRxiv,2024–11. 2024.\n
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@article{gangadhar2024confounder,\n title={A confounder debiasing method for RCT-like comparability enables Machine Learning-based personalization of survival benefit in living donor liver transplantation},\n author={Gangadhar, Anirudh and Hasjim, Bima J and Zhao, Xun and Sun, Yingji and Chon, Joseph and Sidhu, Aman and Jaeckel, Elmar and Selzner, Nazia and Cattral, Mark S and Sayed, Blayne A and others},\n journal={medRxiv},\n pages={2024--11},\n year={2024},\n publisher={Cold Spring Harbor Laboratory Press}\n}\n\n\n
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\n\n \n \n \n \n \n Feasibility of Prostate Radiation Therapy Planning on Deep Learning Enhanced Diagnostic CT Imaging.\n \n \n \n\n\n \n Khalifa, A., Kim, S., Roh, J., Jun, Y., Wong, C., Barcelona, M. V. N, Winter, J. D, Tadic, T., Berlin, A., McIntosh, C., & others\n\n\n \n\n\n\n In
AAPM 66th Annual Meeting & Exhibition, 2024. AAPM\n
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@inproceedings{khalifa2024feasibility,\n title={Feasibility of Prostate Radiation Therapy Planning on Deep Learning Enhanced Diagnostic CT Imaging},\n author={Khalifa, Aly and Kim, Sangwook and Roh, Junghyun and Jun, Yunkyoung and Wong, Christy and Barcelona, Marc Vincent N and Winter, Jeff D and Tadic, Tony and Berlin, Alejandro and McIntosh, Chris and others},\n booktitle={AAPM 66th Annual Meeting \\& Exhibition},\n year={2024},\n organization={AAPM}\n}\n\n\n
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\n\n \n \n \n \n \n Multi-Task Learning for Integrated Automated Contouring and Voxel-Based Dose Prediction in Radiotherapy.\n \n \n \n\n\n \n Kim, S., Khalifa, A., Purdie, T. G, & McIntosh, C.\n\n\n \n\n\n\n
arXiv preprint arXiv:2411.18767. 2024.\n
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@article{kim2024multi,\n title={Multi-Task Learning for Integrated Automated Contouring and Voxel-Based Dose Prediction in Radiotherapy},\n author={Kim, Sangwook and Khalifa, Aly and Purdie, Thomas G and McIntosh, Chris},\n journal={arXiv preprint arXiv:2411.18767},\n year={2024}\n}\n\n\n
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\n\n \n \n \n \n \n Combinations of genomic alterations and immune microenvironmental features associate with patient survival in multiple cancer types.\n \n \n \n\n\n \n Bayati, M., Klein, Z. P, Bahcheli, A. T, Slobodyanyuk, M., To, J., Cheng, K. C., Mishra, J., Pellegrina, D., Guevara-Hoyer, K., McIntosh, C., & others\n\n\n \n\n\n\n
bioRxiv,2024–12. 2024.\n
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@article{bayati2024combinations,\n title={Combinations of genomic alterations and immune microenvironmental features associate with patient survival in multiple cancer types},\n author={Bayati, Masroor and Klein, Zoe P and Bahcheli, Alexander T and Slobodyanyuk, Mykhaylo and To, Jeffrey and Cheng, Kevin CL and Mishra, Jigyansa and Pellegrina, Diogo and Guevara-Hoyer, Kissy and McIntosh, Chris and others},\n journal={bioRxiv},\n pages={2024--12},\n year={2024},\n publisher={Cold Spring Harbor Laboratory}\n}\n\n\n
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\n\n \n \n \n \n \n Machine Learning Identifies Arrhythmogenic Features of QRS Fragmentation in Human Cardiomyopathy: Implications for Improving Risk Stratification.\n \n \n \n\n\n \n Ly, C. O., Suszko, A. M, Denham, N. C, Chakraborty, P., Rahimi, M., McIntosh, C., & Chauhan, V. S\n\n\n \n\n\n\n
Heart Rhythm. 2024.\n
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@article{ly2024machine,\n title={Machine Learning Identifies Arrhythmogenic Features of QRS Fragmentation in Human Cardiomyopathy: Implications for Improving Risk Stratification},\n author={Ly, Cathy Ong and Suszko, Adrian M and Denham, Nathan C and Chakraborty, Praloy and Rahimi, Mahbod and McIntosh, Chris and Chauhan, Vijay S},\n journal={Heart Rhythm},\n year={2024},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n Machine Learning for Prediction of Major Adverse Cardiac Events in Patients with Suspected Cardiomyopathy Using Clinical and Cardiac MRI Variables.\n \n \n \n\n\n \n Matos, J. F., McKee, H., McIntosh, C., Warnica, W., Wald, R., & Hanneman, K.\n\n\n \n\n\n\n
Journal of Cardiovascular Magnetic Resonance, 26. 2024.\n
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@article{matos2024machine,\n title={Machine Learning for Prediction of Major Adverse Cardiac Events in Patients with Suspected Cardiomyopathy Using Clinical and Cardiac MRI Variables},\n author={Matos, Joao Francisco and McKee, Hayley and McIntosh, Christopher and Warnica, William and Wald, Rachel and Hanneman, Kate},\n journal={Journal of Cardiovascular Magnetic Resonance},\n volume={26},\n year={2024},\n publisher={Elsevier}\n}\n\n
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\n \n 2023\n \n \n (15)\n \n \n
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\n\n \n \n \n \n \n Method and system for automated quality assurance in radiation therapy.\n \n \n \n\n\n \n Purdie, T. G, McIntosh, C. J., & Svistoun, I.\n\n\n \n\n\n\n August 22 2023.\n
US Patent 11,735,309\n\n
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@misc{purdie2023method,\n title={Method and system for automated quality assurance in radiation therapy},\n author={Purdie, Thomas G and McIntosh, Christopher James and Svistoun, Igor},\n year={2023},\n month=aug # "~22",\n note={US Patent 11,735,309}\n}\n\n\n
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\n\n \n \n \n \n \n Comprehensive cardiovascular magnetic resonance tissue characterization and cardiotoxicity in women with breast cancer.\n \n \n \n\n\n \n Thavendiranathan, P., Shalmon, T., Fan, C. S., Houbois, C., Amir, E., Thevakumaran, Y., Somerset, E., Malowany, J. M, Urzua-Fresno, C., Yip, P., & others\n\n\n \n\n\n\n
JAMA cardiology, 8(6): 524–534. 2023.\n
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@article{thavendiranathan2023comprehensive,\n title={Comprehensive cardiovascular magnetic resonance tissue characterization and cardiotoxicity in women with breast cancer},\n author={Thavendiranathan, Paaladinesh and Shalmon, Tamar and Fan, Chun-Po Steve and Houbois, Christian and Amir, Eitan and Thevakumaran, Yobiga and Somerset, Emily and Malowany, Julia M and Urzua-Fresno, Camila and Yip, Paul and others},\n journal={JAMA cardiology},\n volume={8},\n number={6},\n pages={524--534},\n year={2023},\n publisher={American Medical Association}\n}\n\n\n
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\n\n \n \n \n \n \n Machine Learning Radiotherapy Automated Planning: Transition to an Ultra-hypofractionated Prostate Model.\n \n \n \n\n\n \n Wan, V., Ramchand, E., Khalifa, A., Conroy, L., McIntosh, C., Purdie, T. G, Tsui, G., Tadic, T., & Winter, J.\n\n\n \n\n\n\n
Journal of Medical Imaging and Radiation Sciences, 54(1): 10. 2023.\n
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@article{wan2023machine,\n title={Machine Learning Radiotherapy Automated Planning: Transition to an Ultra-hypofractionated Prostate Model},\n author={Wan, Vanessa and Ramchand, Emily and Khalifa, Aly and Conroy, Leigh and McIntosh, Chris and Purdie, Thomas G and Tsui, Grace and Tadic, Tony and Winter, Jeff},\n journal={Journal of Medical Imaging and Radiation Sciences},\n volume={54},\n number={1},\n pages={10},\n year={2023},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n Multi-institutional prognostic modeling in head and neck cancer: evaluating impact and generalizability of deep learning and radiomics.\n \n \n \n\n\n \n Kazmierski, M., Welch, M., Kim, S., McIntosh, C., Rey-McIntyre, K., Huang, S. H., Patel, T., Tadic, T., Milosevic, M., Liu, F., & others\n\n\n \n\n\n\n
Cancer Research Communications, 3(6): 1140–1151. 2023.\n
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@article{kazmierski2023multi,\n title={Multi-institutional prognostic modeling in head and neck cancer: evaluating impact and generalizability of deep learning and radiomics},\n author={Kazmierski, Michal and Welch, Mattea and Kim, Sejin and McIntosh, Chris and Rey-McIntyre, Katrina and Huang, Shao Hui and Patel, Tirth and Tadic, Tony and Milosevic, Michael and Liu, Fei-Fei and others},\n journal={Cancer Research Communications},\n volume={3},\n number={6},\n pages={1140--1151},\n year={2023},\n publisher={American Association for Cancer Research}\n}\n\n\n
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\n\n \n \n \n \n \n Machine learning for prediction of adverse cardiovascular events in adults with repaired tetralogy of fallot using clinical and cardiovascular magnetic resonance imaging variables.\n \n \n \n\n\n \n Ishikita, A., McIntosh, C., Hanneman, K., Lee, M. M, Liang, T., Karur, G. R, Roche, S L., Hickey, E., Geva, T., Barron, D. J, & others\n\n\n \n\n\n\n
Circulation: Cardiovascular Imaging, 16(6): e015205. 2023.\n
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@article{ishikita2023machine,\n title={Machine learning for prediction of adverse cardiovascular events in adults with repaired tetralogy of fallot using clinical and cardiovascular magnetic resonance imaging variables},\n author={Ishikita, Ayako and McIntosh, Chris and Hanneman, Kate and Lee, Myunghyun M and Liang, Tiffany and Karur, Gauri R and Roche, S Lucy and Hickey, Edward and Geva, Tal and Barron, David J and others},\n journal={Circulation: Cardiovascular Imaging},\n volume={16},\n number={6},\n pages={e015205},\n year={2023},\n publisher={Lippincott Williams \\& Wilkins Hagerstown, MD}\n}\n\n\n
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\n\n \n \n \n \n \n Risk Prediction in Adults Late After Tetralogy of Fallot Repair: Does Machine Learning Provide Incremental Value Above Expert Clinical Judgement?.\n \n \n \n\n\n \n Ishikita, A., McIntosh, C., Roche, S. L, Barron, D., Oechslin, E., Benson, L. N, Nair, K., Lee, M. M, Hanneman, K. A, Rani Karur, G., & others\n\n\n \n\n\n\n
Circulation, 148(Suppl_1): A13861–A13861. 2023.\n
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@article{ishikita2023risk,\n title={Risk Prediction in Adults Late After Tetralogy of Fallot Repair: Does Machine Learning Provide Incremental Value Above Expert Clinical Judgement?},\n author={Ishikita, Ayako and McIntosh, Chris and Roche, Susan L and Barron, David and Oechslin, Erwin and Benson, Lee N and Nair, Krishnakumar and Lee, Myunghyun M and Hanneman, Kate A and Rani Karur, Gauri and others},\n journal={Circulation},\n volume={148},\n number={Suppl\\_1},\n pages={A13861--A13861},\n year={2023},\n publisher={Lippincott Williams \\& Wilkins Hagerstown, MD}\n}\n\n\n
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\n\n \n \n \n \n \n Association of Artificial Intelligence-Screened Interstitial Lung Disease with Radiation Pneumonitis and Mortality in Locally Advanced Non-Small Cell Lung Cancer.\n \n \n \n\n\n \n Bacon, H., McNeil, N., Patel, T., Welch, M., Ye, X. Y, Bezjak, A., Lok, B. H, Raman, S., Giuliani, M., Cho, J., & others\n\n\n \n\n\n\n
International Journal of Radiation Oncology, Biology, Physics, 117(2): e4–e5. 2023.\n
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@article{bacon2023association,\n title={Association of Artificial Intelligence-Screened Interstitial Lung Disease with Radiation Pneumonitis and Mortality in Locally Advanced Non-Small Cell Lung Cancer},\n author={Bacon, Hannah and McNeil, Nicholas and Patel, Tirth and Welch, Mattea and Ye, Xiang Y and Bezjak, Andrea and Lok, Benjamin H and Raman, Srinivas and Giuliani, Meredith and Cho, John and others},\n journal={International Journal of Radiation Oncology, Biology, Physics},\n volume={117},\n number={2},\n pages={e4--e5},\n year={2023},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n OC-0509 Prospective assessment of AI screening for interstitial lung disease (ILD) in radiotherapy.\n \n \n \n\n\n \n Hope, A, McIntosh, C, Kandel, S, Patel, T, Welch, M, Giuliani, M, Bezjak, A, Cho, J, Sun, A, Lok, B, & others\n\n\n \n\n\n\n
Radiotherapy and Oncology, 182: S417–S418. 2023.\n
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@article{hope2023oc,\n title={OC-0509 Prospective assessment of AI screening for interstitial lung disease (ILD) in radiotherapy},\n author={Hope, A and McIntosh, C and Kandel, S and Patel, T and Welch, M and Giuliani, M and Bezjak, A and Cho, J and Sun, A and Lok, B and others},\n journal={Radiotherapy and Oncology},\n volume={182},\n pages={S417--S418},\n year={2023},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n 4 Association of Artificial Intelligence-Screened Interstitial Lung Disease with Radiation Pneumonitis and Mortality in Locally Advanced Non-Small Cell Lung Cancer.\n \n \n \n\n\n \n Bacon, H., McNeil, N., Patel, T., Welch, M., Ye, X. Y, Bezjak, A., Lok, B. H, Raman, S., Giuliani, M., Cho, J., & others\n\n\n \n\n\n\n
Radiotherapy and Oncology, 186: S5. 2023.\n
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@article{bacon20234,\n title={4 Association of Artificial Intelligence-Screened Interstitial Lung Disease with Radiation Pneumonitis and Mortality in Locally Advanced Non-Small Cell Lung Cancer},\n author={Bacon, Hannah and McNeil, Nicholas and Patel, Tirth and Welch, Mattea and Ye, Xiang Y and Bezjak, Andrea and Lok, Benjamin H and Raman, Srinivas and Giuliani, Meredith and Cho, John and others},\n journal={Radiotherapy and Oncology},\n volume={186},\n pages={S5},\n year={2023},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n Clinical Acceptability of Artificial Intelligence-Screened Interstitial Lung Disease (AI-ILD) in Lung Cancer Patients Treated with Radiotherapy.\n \n \n \n\n\n \n McNeil, N., Bacon, H., Kandel, S., Patel, T., Welch, M., Ye, X. Y, McIntosh, C., Bezjak, A., Lok, B. H, Raman, S., & others\n\n\n \n\n\n\n
International Journal of Radiation Oncology, Biology, Physics, 117(2): S20–S21. 2023.\n
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@article{mcneil2023clinical,\n title={Clinical Acceptability of Artificial Intelligence-Screened Interstitial Lung Disease (AI-ILD) in Lung Cancer Patients Treated with Radiotherapy},\n author={McNeil, Nicholas and Bacon, Hannah and Kandel, Sonja and Patel, Tirth and Welch, Mattea and Ye, Xiang Y and McIntosh, Chris and Bezjak, Andrea and Lok, Benjamin H and Raman, Srinivas and others},\n journal={International Journal of Radiation Oncology, Biology, Physics},\n volume={117},\n number={2},\n pages={S20--S21},\n year={2023},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n 9 Machine Learning Plan Adaptation Improves Quality of Ultra-Hypofractionated Adaptive Radiation Therapy for Prostate Cancer On a 1.5 T MR-Linear Accelerator.\n \n \n \n\n\n \n Khalifa, A., Winter, J., Tadic, T., McIntosh, C., & Purdie, T. G\n\n\n \n\n\n\n
Radiotherapy and Oncology, 186: S7. 2023.\n
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@article{khalifa20239,\n title={9 Machine Learning Plan Adaptation Improves Quality of Ultra-Hypofractionated Adaptive Radiation Therapy for Prostate Cancer On a 1.5 T MR-Linear Accelerator},\n author={Khalifa, Aly and Winter, Jeff and Tadic, Tony and McIntosh, Chris and Purdie, Thomas G},\n journal={Radiotherapy and Oncology},\n volume={186},\n pages={S7},\n year={2023},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n A Prospective Study of Machine Learning-Assisted Radiotherapy Planning for Patients Receiving 54 Gy to the Brain.\n \n \n \n\n\n \n Tsang, D., Tsui, G., Santiago, A., Keller, H., Purdie, T., McIntosh, C., La Macchia, N., Parent, A., Dama, H., Ahmed, S., & others\n\n\n \n\n\n\n
International Journal of Radiation Oncology, Biology, Physics, 117(2): S19. 2023.\n
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@article{tsang2023prospective,\n title={A Prospective Study of Machine Learning-Assisted Radiotherapy Planning for Patients Receiving 54 Gy to the Brain},\n author={Tsang, DSC and Tsui, Grace and Santiago, AT and Keller, Harald and Purdie, TG and McIntosh, Chris and La Macchia, Nancy and Parent, Amy and Dama, Hitesh and Ahmed, Sameera and others},\n journal={International Journal of Radiation Oncology, Biology, Physics},\n volume={117},\n number={2},\n pages={S19},\n year={2023},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n PO-03-226 MACHINE LEARNING IDENTIFIES FEATURES OF ARRHYTHMOGENIC QRS FRAGMENTATION IN HUMAN CARDIOMYOPATHY: IMPLICATIONS FOR IMPROVING AND AUTOMATING RISK STRATIFICATION.\n \n \n \n\n\n \n Ly, C. O., Suszko, A. M, Chakraborty, P., McIntosh, C., & Chauhan, V. S\n\n\n \n\n\n\n
Heart Rhythm, 20(5): S402–S403. 2023.\n
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@article{ly2023po,\n title={PO-03-226 MACHINE LEARNING IDENTIFIES FEATURES OF ARRHYTHMOGENIC QRS FRAGMENTATION IN HUMAN CARDIOMYOPATHY: IMPLICATIONS FOR IMPROVING AND AUTOMATING RISK STRATIFICATION},\n author={Ly, Cathy Ong and Suszko, Adrian M and Chakraborty, Praloy and McIntosh, Chris and Chauhan, Vijay S},\n journal={Heart Rhythm},\n volume={20},\n number={5},\n pages={S402--S403},\n year={2023},\n publisher={Elsevier}\n}\n\n\n
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\n \n 2022\n \n \n (16)\n \n \n
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\n\n \n \n \n \n \n Understanding machine learning classifier decisions in automated radiotherapy quality assurance.\n \n \n \n\n\n \n Chen, Y., Aleman, D. M, Purdie, T. G, & McIntosh, C.\n\n\n \n\n\n\n
Physics in Medicine & Biology, 67(2): 025001. 2022.\n
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@article{chen2022understanding,\n title={Understanding machine learning classifier decisions in automated radiotherapy quality assurance},\n author={Chen, Yunsheng and Aleman, Dionne M and Purdie, Thomas G and McIntosh, Chris},\n journal={Physics in Medicine \\& Biology},\n volume={67},\n number={2},\n pages={025001},\n year={2022},\n publisher={IOP Publishing}\n}\n\n\n
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\n\n \n \n \n \n \n A pilot study of machine-learning based automated planning for primary brain tumours.\n \n \n \n\n\n \n Tsang, D. S, Tsui, G., McIntosh, C., Purdie, T., Bauman, G., Dama, H., Laperriere, N., Millar, B., Shultz, D. B, Ahmed, S., & others\n\n\n \n\n\n\n
Radiation Oncology, 17(1): 3. 2022.\n
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@article{tsang2022pilot,\n title={A pilot study of machine-learning based automated planning for primary brain tumours},\n author={Tsang, Derek S and Tsui, Grace and McIntosh, Chris and Purdie, Thomas and Bauman, Glenn and Dama, Hitesh and Laperriere, Normand and Millar, Barbara-Ann and Shultz, David B and Ahmed, Sameera and others},\n journal={Radiation Oncology},\n volume={17},\n number={1},\n pages={3},\n year={2022},\n publisher={BioMed Central London}\n}\n\n\n
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\n\n \n \n \n \n \n Cardiovascular signatures of COVID-19 predict mortality and identify barrier stabilizing therapies.\n \n \n \n\n\n \n Gustafson, D., Ngai, M., Wu, R., Hou, H., Schoffel, A. C., Erice, C., Mandla, S., Billia, F., Wilson, M. D, Radisic, M., & others\n\n\n \n\n\n\n
EBioMedicine, 78. 2022.\n
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@article{gustafson2022cardiovascular,\n title={Cardiovascular signatures of COVID-19 predict mortality and identify barrier stabilizing therapies},\n author={Gustafson, Dakota and Ngai, Michelle and Wu, Ruilin and Hou, Huayun and Schoffel, Alice Carvalhal and Erice, Clara and Mandla, Serena and Billia, Filio and Wilson, Michael D and Radisic, Milica and others},\n journal={EBioMedicine},\n volume={78},\n year={2022},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n SuPART: supervised projective adapted resonance theory for automatic quality assurance approval of radiotherapy treatment plans.\n \n \n \n\n\n \n Kamran, H., Aleman, D. M, McIntosh, C., & Purdie, T. G\n\n\n \n\n\n\n
Physics in Medicine & Biology, 67(6): 065004. 2022.\n
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@article{kamran2022supart,\n title={SuPART: supervised projective adapted resonance theory for automatic quality assurance approval of radiotherapy treatment plans},\n author={Kamran, Hootan and Aleman, Dionne M and McIntosh, Chris and Purdie, Thomas G},\n journal={Physics in Medicine \\& Biology},\n volume={67},\n number={6},\n pages={065004},\n year={2022},\n publisher={IOP Publishing}\n}\n\n\n
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\n\n \n \n \n \n \n Domain adaptation of automated treatment planning from computed tomography to magnetic resonance.\n \n \n \n\n\n \n Khalifa, A., Winter, J., Navarro, I., McIntosh, C., & Purdie, T. G\n\n\n \n\n\n\n
Physics in Medicine & Biology, 67(12): 125010. 2022.\n
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@article{khalifa2022domain,\n title={Domain adaptation of automated treatment planning from computed tomography to magnetic resonance},\n author={Khalifa, Aly and Winter, Jeff and Navarro, Inmaculada and McIntosh, Chris and Purdie, Thomas G},\n journal={Physics in Medicine \\& Biology},\n volume={67},\n number={12},\n pages={125010},\n year={2022},\n publisher={IOP Publishing}\n}\n\n\n
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\n\n \n \n \n \n \n A MACHINE LEARNING ANALYSIS OF THERAPEUTIC COMPONENTS OF DIGITAL COUNSELING FOR HEART FAILURE.\n \n \n \n\n\n \n Nolan, R. P, Peikari, M., Fan, C. S., Fezza, G. C, Ross, H. J., & McIntosh, C.\n\n\n \n\n\n\n
Journal of the American College of Cardiology, 79(9_Supplement): 2044–2044. 2022.\n
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@article{nolan2022machine,\n title={A MACHINE LEARNING ANALYSIS OF THERAPEUTIC COMPONENTS OF DIGITAL COUNSELING FOR HEART FAILURE},\n author={Nolan, Robert P and Peikari, Mohammad and Fan, Chun-Po Steve and Fezza, Gabriel C and Ross, Heather Joan and McIntosh, Chris},\n journal={Journal of the American College of Cardiology},\n volume={79},\n number={9\\_Supplement},\n pages={2044--2044},\n year={2022},\n publisher={American College of Cardiology Foundation Washington DC}\n}\n\n\n
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\n\n \n \n \n \n \n Artificial intelligence for the prognostication and management of heart transplant: a scoping review.\n \n \n \n\n\n \n Giacobbo, S, Murray, K., Moayedi, Y, Posada, J D., McIntosh, C, Ross, H., & Foroutan, F\n\n\n \n\n\n\n
The Journal of Heart and Lung Transplantation, 41(4): S219. 2022.\n
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@article{giacobbo2022artificial,\n title={Artificial intelligence for the prognostication and management of heart transplant: a scoping review},\n author={Giacobbo, S and Murray, KR and Moayedi, Y and Posada, J Duero and McIntosh, C and Ross, HJ and Foroutan, F},\n journal={The Journal of Heart and Lung Transplantation},\n volume={41},\n number={4},\n pages={S219},\n year={2022},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n PO-1256 Multi-domain automated lung segmentation for inflammatory lung disease (ILD) detection.\n \n \n \n\n\n \n Hope, A, McIntosh, C, Welch, M, Kandel, S, Purdie, T, Tadic, T, & Patel, T\n\n\n \n\n\n\n
Radiotherapy and Oncology, 170: S1061. 2022.\n
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@article{hope2022po,\n title={PO-1256 Multi-domain automated lung segmentation for inflammatory lung disease (ILD) detection},\n author={Hope, A and McIntosh, C and Welch, M and Kandel, S and Purdie, T and Tadic, T and Patel, T},\n journal={Radiotherapy and Oncology},\n volume={170},\n pages={S1061},\n year={2022},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n Validation of CBCT-Based Machine-Learning Automated Planning for Adaptive Prostate Radiation Therapy.\n \n \n \n\n\n \n Khalifa, A, Golshan, M, Navarro, I, Malkov, V, McIntosh, C, Purdie, T, Tadic, T, & Winter, J\n\n\n \n\n\n\n In
MEDICAL PHYSICS, volume 49, pages E246–E246, 2022. WILEY 111 RIVER ST, HOBOKEN 07030-5774, NJ USA\n
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@inproceedings{khalifa2022validation,\n title={Validation of CBCT-Based Machine-Learning Automated Planning for Adaptive Prostate Radiation Therapy},\n author={Khalifa, A and Golshan, M and Navarro, I and Malkov, V and McIntosh, C and Purdie, T and Tadic, T and Winter, J},\n booktitle={MEDICAL PHYSICS},\n volume={49},\n number={6},\n pages={E246--E246},\n year={2022},\n organization={WILEY 111 RIVER ST, HOBOKEN 07030-5774, NJ USA}\n}\n\n\n
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\n\n \n \n \n \n \n Daily Adaptive Replanning with Dose Accumulation for Prostate Ultra-Hypofractionated Radiotherapy Using Machine Learning Automated Planning On CBCT.\n \n \n \n\n\n \n Golshan, M, Khalifa, A, Winter, J, Xie, J, McIntosh, C, Purdie, T, Malkov, V, & Tadic, T\n\n\n \n\n\n\n In
MEDICAL PHYSICS, volume 49, pages E465–E466, 2022. WILEY 111 RIVER ST, HOBOKEN 07030-5774, NJ USA\n
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@inproceedings{golshan2022daily,\n title={Daily Adaptive Replanning with Dose Accumulation for Prostate Ultra-Hypofractionated Radiotherapy Using Machine Learning Automated Planning On CBCT},\n author={Golshan, M and Khalifa, A and Winter, J and Xie, J and McIntosh, C and Purdie, T and Malkov, V and Tadic, T},\n booktitle={MEDICAL PHYSICS},\n volume={49},\n number={6},\n pages={E465--E466},\n year={2022},\n organization={WILEY 111 RIVER ST, HOBOKEN 07030-5774, NJ USA}\n}\n\n\n
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\n\n \n \n \n \n \n EP1225: MACHINE LEARNING ALGORITHMS FOR PREDICTION OF NASH AND ADVANCED FIBROSIS IN NAFLD PATIENTS.\n \n \n \n\n\n \n Kosick, H. M, McIntosh, C., Fakhriyehasl, M., Bera, C., Adeyi, O., Jhaveri, K., & Patel, K.\n\n\n \n\n\n\n
Gastroenterology, 162(7): S–1293. 2022.\n
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@article{kosick2022ep1225,\n title={EP1225: MACHINE LEARNING ALGORITHMS FOR PREDICTION OF NASH AND ADVANCED FIBROSIS IN NAFLD PATIENTS},\n author={Kosick, Heather M and McIntosh, Chris and Fakhriyehasl, Mina and Bera, Chinmay and Adeyi, Oyedele and Jhaveri, Kartik and Patel, Keyur},\n journal={Gastroenterology},\n volume={162},\n number={7},\n pages={S--1293},\n year={2022},\n publisher={WB Saunders}\n}\n\n\n
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\n\n \n \n \n \n \n Validation of a daily adaptive radiation therapy pipeline incorporating machine learning automated treatment planning on CBCT with dose accumulation.\n \n \n \n\n\n \n Khalifa, A., Golshan, M., Navarro, I., Xie, J., McIntosh, C., Purdie, T. G, Malkov, V., Tadic, T., & Winter, J.\n\n\n \n\n\n\n
Medical Physics, 49(8): 5638. 2022.\n
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@article{khalifa2022validation,\n title={Validation of a daily adaptive radiation therapy pipeline incorporating machine learning automated treatment planning on CBCT with dose accumulation},\n author={Khalifa, Aly and Golshan, Maryam and Navarro, Inmaculada and Xie, Jason and McIntosh, Chris and Purdie, Thomas G and Malkov, Victor and Tadic, Tony and Winter, Jeff},\n journal={Medical Physics},\n volume={49},\n number={8},\n pages={5638},\n year={2022}\n}\n\n\n
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\n\n \n \n \n \n \n Creation of an artificial intelligence model for prediction of major adverse cardiovascular events late after tetralogy of Fallot repair.\n \n \n \n\n\n \n Ishikita, A., McIntosh, C., Lee, M. M, Raptis, S., Liang, T., Hanneman, K. A, Karur, G., Roche, S. L, Barron, D., Hickey, E., & others\n\n\n \n\n\n\n
Circulation, 146(Suppl_1): A12563–A12563. 2022.\n
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@article{ishikita2022creation,\n title={Creation of an artificial intelligence model for prediction of major adverse cardiovascular events late after tetralogy of Fallot repair},\n author={Ishikita, Ayako and McIntosh, Chris and Lee, Myunghyun M and Raptis, Stavroula and Liang, Tiffany and Hanneman, Kate A and Karur, Gauri and Roche, Susan L and Barron, David and Hickey, Edward and others},\n journal={Circulation},\n volume={146},\n number={Suppl\\_1},\n pages={A12563--A12563},\n year={2022},\n publisher={Lippincott Williams \\& Wilkins Hagerstown, MD}\n}\n\n\n
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\n\n \n \n \n \n \n A Comprehensive Study of Radiomics-based Machine Learning for Fibrosis Detection.\n \n \n \n\n\n \n Yoo, J. J, Namdar, K., McIntosh, C., Khalvati, F., & Rogalla, P.\n\n\n \n\n\n\n
CoRR. 2022.\n
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@article{yoo2022comprehensive,\n title={A Comprehensive Study of Radiomics-based Machine Learning for Fibrosis Detection.},\n author={Yoo, Jay J and Namdar, Khashayar and McIntosh, Chris and Khalvati, Farzad and Rogalla, Patrik},\n journal={CoRR},\n year={2022}\n}\n\n\n
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\n \n 2021\n \n \n (9)\n \n \n
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\n\n \n \n \n \n \n A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data.\n \n \n \n\n\n \n Kazmierski, M., Welch, M., Kim, S., McIntosh, C., Head, P. M., Group, N. C., Rey-McIntyre, K., Huang, S. H., Patel, T., Tadic, T., & others\n\n\n \n\n\n\n
arXiv preprint arXiv:2101.11935. 2021.\n
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@article{kazmierski2021machine,\n title={A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data},\n author={Kazmierski, Michal and Welch, Mattea and Kim, Sejin and McIntosh, Chris and Head, Princess Margaret and Group, Neck Cancer and Rey-McIntyre, Katrina and Huang, Shao Hui and Patel, Tirth and Tadic, Tony and others},\n journal={arXiv preprint arXiv:2101.11935},\n year={2021}\n}\n\n\n
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\n\n \n \n \n \n \n A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data.\n \n \n \n\n\n \n Haibe-Kains, B., Kazmierski, M., Welch, M., Kim, S., McIntosh, C., Rey-McIntyre, K., Huang, S. H., Patel, T., Tadic, T., Milosevic, M., & others\n\n\n \n\n\n\n . 2021.\n
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@article{haibe2021machine,\n title={A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data},\n author={Haibe-Kains, Benjamin and Kazmierski, Michal and Welch, Mattea and Kim, Sejin and McIntosh, Chris and Rey-McIntyre, Katrina and Huang, Shao Hui and Patel, Tirth and Tadic, Tony and Milosevic, Michael and others},\n year={2021}\n}\n\n\n
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\n\n \n \n \n \n \n Clinical integration of machine learning for curative-intent radiation treatment of patients with prostate cancer.\n \n \n \n\n\n \n McIntosh, C., Conroy, L., Tjong, M. C, Craig, T., Bayley, A., Catton, C., Gospodarowicz, M., Helou, J., Isfahanian, N., Kong, V., & others\n\n\n \n\n\n\n
Nature medicine, 27(6): 999–1005. 2021.\n
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@article{mcintosh2021clinical,\n title={Clinical integration of machine learning for curative-intent radiation treatment of patients with prostate cancer},\n author={McIntosh, Chris and Conroy, Leigh and Tjong, Michael C and Craig, Tim and Bayley, Andrew and Catton, Charles and Gospodarowicz, Mary and Helou, Joelle and Isfahanian, Naghmeh and Kong, Vickie and others},\n journal={Nature medicine},\n volume={27},\n number={6},\n pages={999--1005},\n year={2021},\n publisher={Nature Publishing Group US New York}\n}\n\n\n
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\n\n \n \n \n \n \n Automated Machine-Learning Radiotherapy Planning for Pediatric and Adult Brain Tumours.\n \n \n \n\n\n \n Tsui, G., Tsang, D. S, McIntosh, C., Purdie, T. G, Bauman, G., Laperriere, N., Dama, H., Khandwala, M., & Hodgson, D. C\n\n\n \n\n\n\n
Journal of Medical Imaging and Radiation Sciences, 52(2): S3. 2021.\n
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@article{tsui2021automated,\n title={Automated Machine-Learning Radiotherapy Planning for Pediatric and Adult Brain Tumours},\n author={Tsui, Grace and Tsang, Derek S and McIntosh, Chris and Purdie, Thomas G and Bauman, Glenn and Laperriere, Normand and Dama, Hitesh and Khandwala, Mohammad and Hodgson, David C},\n journal={Journal of Medical Imaging and Radiation Sciences},\n volume={52},\n number={2},\n pages={S3},\n year={2021},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n Letter by Wang et al Regarding Article,“Association Between Coffee Intake and Incident Heart Failure Risk: A Machine Learning Analysis of the FHS, the ARIC Study, and the CHS”.\n \n \n \n\n\n \n Wang, V. N, Fan, C. S., & McIntosh, C.\n\n\n \n\n\n\n
Circulation: Heart Failure, 14(12): e008611. 2021.\n
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@article{wang2021letter,\n title={Letter by Wang et al Regarding Article,“Association Between Coffee Intake and Incident Heart Failure Risk: A Machine Learning Analysis of the FHS, the ARIC Study, and the CHS”},\n author={Wang, Vicki N and Fan, Chun-Po Steve and McIntosh, Chris},\n journal={Circulation: Heart Failure},\n volume={14},\n number={12},\n pages={e008611},\n year={2021},\n publisher={Lippincott Williams \\& Wilkins Hagerstown, MD}\n}\n\n\n
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\n\n \n \n \n \n \n Remote mobile outpatient monitoring in transplant (reboot) 2.0: protocol for a randomized controlled trial.\n \n \n \n\n\n \n Murray, K. R, Foroutan, F., Amadio, J. M, Posada, J. D., Kozuszko, S., Duhamel, J., Tsang, K., Farkouh, M. E, McDonald, M., Billia, F., & others\n\n\n \n\n\n\n
JMIR Research Protocols, 10(10): e26816. 2021.\n
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@article{murray2021remote,\n title={Remote mobile outpatient monitoring in transplant (reboot) 2.0: protocol for a randomized controlled trial},\n author={Murray, Kevin R and Foroutan, Farid and Amadio, Jennifer M and Posada, Juan Duero and Kozuszko, Stella and Duhamel, Joseph and Tsang, Katherine and Farkouh, Michael E and McDonald, Michael and Billia, Filio and others},\n journal={JMIR Research Protocols},\n volume={10},\n number={10},\n pages={e26816},\n year={2021},\n publisher={JMIR Publications Inc., Toronto, Canada}\n}\n\n\n
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\n \n 2020\n \n \n (8)\n \n \n
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\n\n \n \n \n \n \n Automatic classification of dental artifact status for efficient image veracity checks: effects of image resolution and convolutional neural network depth.\n \n \n \n\n\n \n Welch, M. L, McIntosh, C., Purdie, T. G, Wee, L., Traverso, A., Dekker, A., Haibe-Kains, B., & Jaffray, D. A\n\n\n \n\n\n\n
Physics in Medicine & Biology, 65(1): 015005. 2020.\n
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@article{welch2020automatic,\n title={Automatic classification of dental artifact status for efficient image veracity checks: effects of image resolution and convolutional neural network depth},\n author={Welch, Mattea L and McIntosh, Chris and Purdie, Tom G and Wee, Leonard and Traverso, Alberto and Dekker, Andre and Haibe-Kains, Benjamin and Jaffray, David A},\n journal={Physics in Medicine \\& Biology},\n volume={65},\n number={1},\n pages={015005},\n year={2020},\n publisher={IOP Publishing}\n}\n\n\n
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\n\n \n \n \n \n \n External validation and transfer learning of convolutional neural networks for computed tomography dental artifact classification.\n \n \n \n\n\n \n Welch, M. L, McIntosh, C., Traverso, A., Wee, L., Purdie, T. G, Dekker, A., Haibe-Kains, B., & Jaffray, D. A\n\n\n \n\n\n\n
Physics in Medicine & Biology, 65(3): 035017. 2020.\n
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@article{welch2020external,\n title={External validation and transfer learning of convolutional neural networks for computed tomography dental artifact classification},\n author={Welch, Mattea L and McIntosh, Chris and Traverso, Alberto and Wee, Leonard and Purdie, Tom G and Dekker, Andre and Haibe-Kains, Benjamin and Jaffray, David A},\n journal={Physics in Medicine \\& Biology},\n volume={65},\n number={3},\n pages={035017},\n year={2020},\n publisher={IOP Publishing}\n}\n\n\n
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\n\n \n \n \n \n \n User-controlled pipelines for feature integration and head and neck radiation therapy outcome predictions.\n \n \n \n\n\n \n Welch, M. L, McIntosh, C., McNiven, A., Huang, S. H., Zhang, B., Wee, L., Traverso, A., O'Sullivan, B., Hoebers, F., Dekker, A., & others\n\n\n \n\n\n\n
Physica Medica, 70: 145–152. 2020.\n
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@article{welch2020user,\n title={User-controlled pipelines for feature integration and head and neck radiation therapy outcome predictions},\n author={Welch, Mattea L and McIntosh, Chris and McNiven, Andrea and Huang, Shao Hui and Zhang, Bei-Bei and Wee, Leonard and Traverso, Alberto and O'Sullivan, Brian and Hoebers, Frank and Dekker, Andre and others},\n journal={Physica Medica},\n volume={70},\n pages={145--152},\n year={2020},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n Abstract P4-12-24: Evaluation of partial breast irradiation suitability in early stage breast cancer patients.\n \n \n \n\n\n \n Koch, C. A., Corey, G., Han, K., Lee, G., Purdie, T., McIntosh, C., Lindsay, P., Liu, F., Fyles, A., Levin, W., & others\n\n\n \n\n\n\n
Cancer Research, 80(4_Supplement): P4–12. 2020.\n
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@article{koch2020abstract,\n title={Abstract P4-12-24: Evaluation of partial breast irradiation suitability in early stage breast cancer patients},\n author={Koch, Christine Anne and Corey, Gemma and Han, Kathy and Lee, Grace and Purdie, Tom and McIntosh, Chris and Lindsay, Patricia and Liu, Fei-Fei and Fyles, Anthony and Levin, Wilf and others},\n journal={Cancer Research},\n volume={80},\n number={4\\_Supplement},\n pages={P4--12},\n year={2020},\n publisher={The American Association for Cancer Research}\n}\n\n\n
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\n\n \n \n \n \n \n Transparency and reproducibility in artificial intelligence.\n \n \n \n\n\n \n Haibe-Kains, B., Adam, G. A., Hosny, A., Khodakarami, F., of Directors Shraddha Thakkar 35 Kusko Rebecca 36 Sansone Susanna-Assunta 37 Tong Weida 35 Wolfinger Russ D. 38 Mason Christopher E. 39 Jones Wendell 40 Dopazo Joaquin 41 Furlanello Cesare 42, M. A. Q. C. (. S. B., Waldron, L., Wang, B., McIntosh, C., Goldenberg, A., Kundaje, A., & others\n\n\n \n\n\n\n
Nature, 586(7829): E14–E16. 2020.\n
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@article{haibe2020transparency,\n title={Transparency and reproducibility in artificial intelligence},\n author={Haibe-Kains, Benjamin and Adam, George Alexandru and Hosny, Ahmed and Khodakarami, Farnoosh and Massive Analysis Quality Control (MAQC) Society Board of Directors Shraddha Thakkar 35 Kusko Rebecca 36 Sansone Susanna-Assunta 37 Tong Weida 35 Wolfinger Russ D. 38 Mason Christopher E. 39 Jones Wendell 40 Dopazo Joaquin 41 Furlanello Cesare 42 and Waldron, Levi and Wang, Bo and McIntosh, Chris and Goldenberg, Anna and Kundaje, Anshul and others},\n journal={Nature},\n volume={586},\n number={7829},\n pages={E14--E16},\n year={2020},\n publisher={Nature Publishing Group UK London}\n}\n\n\n
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\n\n \n \n \n \n \n Cdf-net: Cross-domain fusion network for accelerated mri reconstruction.\n \n \n \n\n\n \n Nitski, O., Nag, S., McIntosh, C., & Wang, B.\n\n\n \n\n\n\n In
International Conference on Medical Image Computing and Computer-Assisted Intervention, pages 421–430, 2020. Springer International Publishing Cham\n
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@inproceedings{nitski2020cdf,\n title={Cdf-net: Cross-domain fusion network for accelerated mri reconstruction},\n author={Nitski, Osvald and Nag, Sayan and McIntosh, Chris and Wang, Bo},\n booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention},\n pages={421--430},\n year={2020},\n organization={Springer International Publishing Cham}\n}\n\n\n
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\n\n \n \n \n \n \n Automated machine-learning radiation therapy treatment planning for pediatric and adult brain tumors.\n \n \n \n\n\n \n Tsui, G, Tsang, D., McIntosh, C, Purdie, T., Khandwala, M, Bauman, G., Laperriere, N., Dama, H, & Hodgson, D\n\n\n \n\n\n\n
International Journal of Radiation Oncology, Biology, Physics, 108(3): e777. 2020.\n
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@article{tsui2020automated,\n title={Automated machine-learning radiation therapy treatment planning for pediatric and adult brain tumors},\n author={Tsui, G and Tsang, DSC and McIntosh, C and Purdie, TG and Khandwala, M and Bauman, GS and Laperriere, NJ and Dama, H and Hodgson, D},\n journal={International Journal of Radiation Oncology, Biology, Physics},\n volume={108},\n number={3},\n pages={e777},\n year={2020},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n 26: Automated Machine-Learning Radiotherapy Planning for Pediatric and Adult Brain Tumours.\n \n \n \n\n\n \n Tsui, G., Tsang, D., McIntosh, C., Purdie, T., Khandwala, M., Bauman, G., Laperriere, N., Dama, H., & Hodgson, D.\n\n\n \n\n\n\n
Radiotherapy and Oncology, 150: S15. 2020.\n
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@article{tsui202026,\n title={26: Automated Machine-Learning Radiotherapy Planning for Pediatric and Adult Brain Tumours},\n author={Tsui, Grace and Tsang, Derek and McIntosh, Chris and Purdie, Tom and Khandwala, Mohammad and Bauman, Glenn and Laperriere, Normand and Dama, Hitesh and Hodgson, David},\n journal={Radiotherapy and Oncology},\n volume={150},\n pages={S15},\n year={2020},\n publisher={Elsevier}\n}\n\n\n
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\n \n 2019\n \n \n (5)\n \n \n
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\n\n \n \n \n \n \n Method and system for automated quality assurance and automated treatment planning in radiation therapy.\n \n \n \n\n\n \n Purdie, T. G, McIntosh, C. J., & Svistoun, I.\n\n\n \n\n\n\n November 12 2019.\n
US Patent 10,475,537\n\n
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@misc{purdie2019method,\n title={Method and system for automated quality assurance and automated treatment planning in radiation therapy},\n author={Purdie, Thomas G and McIntosh, Christopher James and Svistoun, Igor},\n year={2019},\n month=nov # "~12",\n note={US Patent 10,475,537}\n}\n\n\n
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\n\n \n \n \n \n \n Vulnerabilities of radiomic signature development: The need for safeguards.\n \n \n \n\n\n \n Welch, M. L, McIntosh, C., Haibe-Kains, B., Milosevic, M. F, Wee, L., Dekker, A., Huang, S. H., Purdie, T. G, O'Sullivan, B., Aerts, H. J., & others\n\n\n \n\n\n\n
Radiotherapy and Oncology, 130: 2–9. 2019.\n
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@article{welch2019vulnerabilities,\n title={Vulnerabilities of radiomic signature development: The need for safeguards},\n author={Welch, Mattea L and McIntosh, Chris and Haibe-Kains, Benjamin and Milosevic, Michael F and Wee, Leonard and Dekker, Andre and Huang, Shao Hui and Purdie, Thomas G and O'Sullivan, Brian and Aerts, Hugo JWL and others},\n journal={Radiotherapy and Oncology},\n volume={130},\n pages={2--9},\n year={2019},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n Machine Learning Based Method for Peer Review Rounds Case Prioritization.\n \n \n \n\n\n \n Conroy, L, McIntosh, C, & Purdie, T\n\n\n \n\n\n\n In
MEDICAL PHYSICS, volume 46, pages E325–E325, 2019. WILEY 111 RIVER ST, HOBOKEN 07030-5774, NJ USA\n
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@inproceedings{conroy2019machine,\n title={Machine Learning Based Method for Peer Review Rounds Case Prioritization},\n author={Conroy, L and McIntosh, C and Purdie, T},\n booktitle={MEDICAL PHYSICS},\n volume={46},\n number={6},\n pages={E325--E325},\n year={2019},\n organization={WILEY 111 RIVER ST, HOBOKEN 07030-5774, NJ USA}\n}\n\n\n
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\n\n \n \n \n \n \n APPLICATION OF NOVEL RADIOTHERAPY AND IMAGING FEATURES FOR HEAD AND NECK PATIENT LOCOREGIONAL FAILURE PREDICTIONS.\n \n \n \n\n\n \n Welch, M., McIntosh, C., Wee, L., McNiven, A., Huang, S. H., Zhang, B., Traverso, A., O’Sullivan, B., Hoebers, F., Dekker, A., & others\n\n\n \n\n\n\n In
Radiotherapy and Oncology, volume 139, pages S70–S70, 2019. ELSEVIER IRELAND LTD ELSEVIER HOUSE, BROOKVALE PLAZA, EAST PARK SHANNON, CO …\n
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@inproceedings{welch2019application,\n title={APPLICATION OF NOVEL RADIOTHERAPY AND IMAGING FEATURES FOR HEAD AND NECK PATIENT LOCOREGIONAL FAILURE PREDICTIONS},\n author={Welch, Mattea and McIntosh, Chris and Wee, Leonard and McNiven, Andrea and Huang, Shao Hui and Zhang, Bei-Bei and Traverso, Alberto and O’Sullivan, Brian and Hoebers, Frank and Dekker, Andre and others},\n booktitle={Radiotherapy and Oncology},\n volume={139},\n pages={S70--S70},\n year={2019},\n organization={ELSEVIER IRELAND LTD ELSEVIER HOUSE, BROOKVALE PLAZA, EAST PARK SHANNON, CO~…}\n}\n\n\n
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\n\n \n \n \n \n \n Application of artificial neural networks for prognostic modeling in lung cancer after combining radiomic and clinical features.\n \n \n \n\n\n \n Chufal, K. S, Ahmad, I., Pahuja, A. K, Miller, A. A, Singh, R., & Chowdhary, R. L\n\n\n \n\n\n\n
Asian Journal of Oncology, 5(02): 050–055. 2019.\n
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@article{chufal2019application,\n title={Application of artificial neural networks for prognostic modeling in lung cancer after combining radiomic and clinical features},\n author={Chufal, Kundan S and Ahmad, Irfan and Pahuja, Anjali K and Miller, Alexis A and Singh, Rajpal and Chowdhary, Rahul L},\n journal={Asian Journal of Oncology},\n volume={5},\n number={02},\n pages={050--055},\n year={2019}\n}\n\n\n
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\n \n 2018\n \n \n (3)\n \n \n
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\n\n \n \n \n \n \n Guided undersampling classification for automated radiation therapy quality assurance of prostate cancer treatment.\n \n \n \n\n\n \n Brown, W E., Sung, K., Aleman, D. M, Moreno-Centeno, E., Purdie, T. G, & McIntosh, C. J\n\n\n \n\n\n\n
Medical physics, 45(4): 1306–1316. 2018.\n
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@article{brown2018guided,\n title={Guided undersampling classification for automated radiation therapy quality assurance of prostate cancer treatment},\n author={Brown, W Eric and Sung, Kisuk and Aleman, Dionne M and Moreno-Centeno, Erick and Purdie, Thomas G and McIntosh, Chris J},\n journal={Medical physics},\n volume={45},\n number={4},\n pages={1306--1316},\n year={2018}\n}\n\n\n
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\n\n \n \n \n \n \n Clinical application of a novel voxel-and machine learning-based automated planning method for prostate volumetric arc radiation therapy.\n \n \n \n\n\n \n Berlin, A, Conroy, L, Tjong, M., Craig, T, Chung, P, McIntosh, C, & Purdie, T.\n\n\n \n\n\n\n
International Journal of Radiation Oncology, Biology, Physics, 102(3): e533. 2018.\n
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@article{berlin2018clinical,\n title={Clinical application of a novel voxel-and machine learning-based automated planning method for prostate volumetric arc radiation therapy},\n author={Berlin, A and Conroy, L and Tjong, MC and Craig, T and Chung, P and McIntosh, C and Purdie, TG},\n journal={International Journal of Radiation Oncology, Biology, Physics},\n volume={102},\n number={3},\n pages={e533},\n year={2018},\n publisher={Elsevier}\n}\n\n\n
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\n \n 2017\n \n \n (2)\n \n \n
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\n\n \n \n \n \n \n Fully automated treatment planning for head and neck radiotherapy using a voxel-based dose prediction and dose mimicking method.\n \n \n \n\n\n \n McIntosh, C., Welch, M., McNiven, A., Jaffray, D. A, & Purdie, T. G\n\n\n \n\n\n\n
Physics in Medicine & Biology, 62(15): 5926. 2017.\n
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@article{mcintosh2017fully,\n title={Fully automated treatment planning for head and neck radiotherapy using a voxel-based dose prediction and dose mimicking method},\n author={McIntosh, Chris and Welch, Mattea and McNiven, Andrea and Jaffray, David A and Purdie, Thomas G},\n journal={Physics in Medicine \\& Biology},\n volume={62},\n number={15},\n pages={5926},\n year={2017},\n publisher={IOP Publishing}\n}\n\n\n
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\n\n \n \n \n \n \n A Quality control system to automatically detect errors and identify features in radiotherapy treatment plans: Poster Reception-61.\n \n \n \n\n\n \n Balderson, M., McIntosh, C., & Purdie, T.\n\n\n \n\n\n\n
Medical Physics, 44(8): 4386. 2017.\n
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@article{balderson2017quality,\n title={A Quality control system to automatically detect errors and identify features in radiotherapy treatment plans: Poster Reception-61},\n author={Balderson, Michael and McIntosh, Chris and Purdie, Thomas},\n journal={Medical Physics},\n volume={44},\n number={8},\n pages={4386},\n year={2017}\n}\n\n\n
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\n \n 2016\n \n \n (3)\n \n \n
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\n\n \n \n \n \n \n Voxel-based dose prediction with multi-patient atlas selection for automated radiotherapy treatment planning.\n \n \n \n\n\n \n McIntosh, C., & Purdie, T. G\n\n\n \n\n\n\n
Physics in Medicine & Biology, 62(2): 415. 2016.\n
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@article{mcintosh2016voxel,\n title={Voxel-based dose prediction with multi-patient atlas selection for automated radiotherapy treatment planning},\n author={McIntosh, Chris and Purdie, Thomas G},\n journal={Physics in Medicine \\& Biology},\n volume={62},\n number={2},\n pages={415},\n year={2016},\n publisher={IOP Publishing}\n}\n\n\n
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\n\n \n \n \n \n \n Automated Quality Assurance at Breast Cancer Rounds—a Process to Improve Efficiency and Quality of Patient Care.\n \n \n \n\n\n \n Rock, K, Barry, A., McIntosh, C, Purdie, T, & Koch, C.\n\n\n \n\n\n\n
International Journal of Radiation Oncology, Biology, Physics, 96(2): S232–S233. 2016.\n
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@article{rock2016automated,\n title={Automated Quality Assurance at Breast Cancer Rounds—a Process to Improve Efficiency and Quality of Patient Care},\n author={Rock, K and Barry, AS and McIntosh, C and Purdie, T and Koch, CA},\n journal={International Journal of Radiation Oncology, Biology, Physics},\n volume={96},\n number={2},\n pages={S232--S233},\n year={2016},\n publisher={Elsevier}\n}\n\n\n
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\n \n 2015\n \n \n (2)\n \n \n
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\n\n \n \n \n \n \n Applying a Real Time Pretreatment Review of Radiation Oncology Breast Cancer Rounds: Automated Quality Assurance Results.\n \n \n \n\n\n \n Barry, A., Sole, C., McIntosh, C, Purdie, T., & Koch, C.\n\n\n \n\n\n\n
International Journal of Radiation Oncology, Biology, Physics, 93(3): E586. 2015.\n
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@article{barry2015applying,\n title={Applying a Real Time Pretreatment Review of Radiation Oncology Breast Cancer Rounds: Automated Quality Assurance Results},\n author={Barry, AS and Sole, CV and McIntosh, C and Purdie, TG and Koch, CA},\n journal={International Journal of Radiation Oncology, Biology, Physics},\n volume={93},\n number={3},\n pages={E586},\n year={2015},\n publisher={Elsevier}\n}\n\n\n
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\n\n \n \n \n \n \n Contextual atlas regression forests: multiple-atlas-based automated dose prediction in radiation therapy.\n \n \n \n\n\n \n McIntosh, C., & Purdie, T. G\n\n\n \n\n\n\n
IEEE transactions on medical imaging, 35(4): 1000–1012. 2015.\n
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@article{mcintosh2015contextual,\n title={Contextual atlas regression forests: multiple-atlas-based automated dose prediction in radiation therapy},\n author={McIntosh, Chris and Purdie, Thomas G},\n journal={IEEE transactions on medical imaging},\n volume={35},\n number={4},\n pages={1000--1012},\n year={2015},\n publisher={IEEE}\n}\n\n\n
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\n \n 2014\n \n \n (1)\n \n \n
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\n\n \n \n \n \n \n Novel morphological and appearance features for predicting physical disability from MR images in multiple sclerosis patients.\n \n \n \n\n\n \n Kawahara, J., McIntosh, C., Tam, R., & Hamarneh, G.\n\n\n \n\n\n\n In
Computational Methods and Clinical Applications for Spine Imaging: Proceedings of the Workshop held at the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, September 22-26, 2013, Nagoya, Japan, pages 61–73, 2014. Springer International Publishing Cham\n
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@inproceedings{kawahara2014novel,\n title={Novel morphological and appearance features for predicting physical disability from MR images in multiple sclerosis patients},\n author={Kawahara, Jeremy and McIntosh, Chris and Tam, Roger and Hamarneh, Ghassan},\n booktitle={Computational Methods and Clinical Applications for Spine Imaging: Proceedings of the Workshop held at the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, September 22-26, 2013, Nagoya, Japan},\n pages={61--73},\n year={2014},\n organization={Springer International Publishing Cham}\n}\n\n\n
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\n\n \n \n \n \n \n Globally optimal spinal cord segmentation using a minimal path in high dimensions.\n \n \n \n\n\n \n Kawahara, J., McIntosh, C., Tam, R., & Hamarneh, G.\n\n\n \n\n\n\n In
2013 IEEE 10th International Symposium on Biomedical Imaging, pages 848–851, 2013. IEEE\n
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@inproceedings{kawahara2013globally,\n title={Globally optimal spinal cord segmentation using a minimal path in high dimensions},\n author={Kawahara, Jeremy and McIntosh, Chris and Tam, Roger and Hamarneh, Ghassan},\n booktitle={2013 IEEE 10th International Symposium on Biomedical Imaging},\n pages={848--851},\n year={2013},\n organization={IEEE}\n}\n\n\n
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\n\n \n \n \n \n \n Groupwise conditional random forests for automatic shape classification and contour quality assessment in radiotherapy planning.\n \n \n \n\n\n \n McIntosh, C., Svistoun, I., & Purdie, T. G\n\n\n \n\n\n\n
IEEE transactions on medical imaging, 32(6): 1043–1057. 2013.\n
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@article{mcintosh2013groupwise,\n title={Groupwise conditional random forests for automatic shape classification and contour quality assessment in radiotherapy planning},\n author={McIntosh, Chris and Svistoun, Igor and Purdie, Thomas G},\n journal={IEEE transactions on medical imaging},\n volume={32},\n number={6},\n pages={1043--1057},\n year={2013},\n publisher={IEEE}\n}\n\n\n
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\n\n \n \n \n \n \n Augmenting auto-context with global geometric features for spinal cord segmentation.\n \n \n \n\n\n \n Kawahara, J., McIntosh, C., Tam, R., & Hamarneh, G.\n\n\n \n\n\n\n In
International Workshop on Machine Learning in Medical Imaging, pages 211–218, 2013. Springer International Publishing Cham\n
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@inproceedings{kawahara2013augmenting,\n title={Augmenting auto-context with global geometric features for spinal cord segmentation},\n author={Kawahara, Jeremy and McIntosh, Chris and Tam, Roger and Hamarneh, Ghassan},\n booktitle={International Workshop on Machine Learning in Medical Imaging},\n pages={211--218},\n year={2013},\n organization={Springer International Publishing Cham}\n}\n\n\n
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\n \n 2011\n \n \n (5)\n \n \n
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\n\n \n \n \n \n \n Perception-based Visualization of Manifold-Valued Medical Images using Distance-Preserving Dimensionality Reduction.\n \n \n \n\n\n \n Hamarneh, G., McIntosh, C., & Drew, M\n\n\n \n\n\n\n
Medical Imaging, IEEE Transactions on, (99): 1–1. 2011.\n
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@article{hamarneh2011perception,\n title={Perception-based Visualization of Manifold-Valued Medical Images using Distance-Preserving Dimensionality Reduction},\n author={Hamarneh, Ghassan and McIntosh, Chris and Drew, M},\n journal={Medical Imaging, IEEE Transactions on},\n number={99},\n pages={1--1},\n year={2011},\n publisher={IEEE}\n}\n\n\n
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\n\n \n \n \n \n \n Spinal Cord Segmentation for Volume Estimation in Healthy and Multiple Sclerosis Subjects using Crawlers and Minimal Paths.\n \n \n \n\n\n \n McIntosh, C., Hamarneh, G., Toom, M., & Tam, R. C\n\n\n \n\n\n\n In
Healthcare Informatics, Imaging and Systems Biology (HISB), 2011 First IEEE International Conference on, pages 25–31, 2011. IEEE\n
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@inproceedings{mcintosh2011spinal,\n title={Spinal Cord Segmentation for Volume Estimation in Healthy and Multiple Sclerosis Subjects using Crawlers and Minimal Paths},\n author={McIntosh, Chris and Hamarneh, Ghassan and Toom, Matthew and Tam, Roger C},\n booktitle={Healthcare Informatics, Imaging and Systems Biology (HISB), 2011 First IEEE International Conference on},\n pages={25--31},\n year={2011},\n organization={IEEE}\n}\n\n\n
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\n \n 2009\n \n \n (2)\n \n \n
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\n\n \n \n \n \n \n Optimal weights for convex functionals in medical image segmentation.\n \n \n \n\n\n \n McIntosh, C., & Hamarneh, G.\n\n\n \n\n\n\n
Advances in Visual Computing,1079–1088. 2009.\n
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@article{mcintosh2009optimal,\n title={Optimal weights for convex functionals in medical image segmentation},\n author={McIntosh, Chris and Hamarneh, Ghassan},\n journal={Advances in Visual Computing},\n pages={1079--1088},\n year={2009},\n publisher={Springer}\n}\n\n\n
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\n \n 2007\n \n \n (4)\n \n \n
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\n\n \n \n \n \n \n Is a single energy functional sufficient? Adaptive energy functionals and automatic initialization.\n \n \n \n\n\n \n McIntosh, C., & Hamarneh, G.\n\n\n \n\n\n\n
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2007,503–510. 2007.\n
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@article{mcintosh2007single,\n title={Is a single energy functional sufficient? Adaptive energy functionals and automatic initialization},\n author={McIntosh, Chris and Hamarneh, Ghassan},\n journal={Medical Image Computing and Computer-Assisted Intervention--MICCAI 2007},\n pages={503--510},\n year={2007},\n publisher={Springer}\n}\n\n\n
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\n\n \n \n \n \n \n Human limb delineation and joint position recovery using localized boundary models.\n \n \n \n\n\n \n McIntosh, C., Hamarneh, G., & Mori, G.\n\n\n \n\n\n\n In
Motion and Video Computing, 2007. WMVC'07. IEEE Workshop on, pages 31–31, 2007. IEEE\n
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@inproceedings{mcintosh2007human,\n title={Human limb delineation and joint position recovery using localized boundary models},\n author={McIntosh, Chris and Hamarneh, Ghassan and Mori, Greg},\n booktitle={Motion and Video Computing, 2007. WMVC'07. IEEE Workshop on},\n pages={31--31},\n year={2007},\n organization={IEEE}\n}\n\n\n
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\n \n 2006\n \n \n (6)\n \n \n
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\n\n \n \n \n \n \n Corpus Callosum Segmentation in Magnetic Resonance Images Using Artificial Organisms.\n \n \n \n\n\n \n Hamarneh, G, & McIntosh, C\n\n\n \n\n\n\n
Medical Image Analysis Lab (MIAL). 2006.\n
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@article{hamarneh2006corpus,\n title={Corpus Callosum Segmentation in Magnetic Resonance Images Using Artificial Organisms},\n author={Hamarneh, G and McIntosh, C},\n journal={Medical Image Analysis Lab (MIAL)},\n year={2006}\n}\n\n\n
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\n \n 2005\n \n \n (2)\n \n \n
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\n\n \n \n \n \n \n 3D live-wire-based semi-automatic segmentation of medical images.\n \n \n \n\n\n \n Hamarneh, G., Yang, J., McIntosh, C., & Langille, M.\n\n\n \n\n\n\n In
Proceedings of SPIE Medical Imaging: Image Processing, volume 5747, pages 1597–1603, 2005. \n
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@inproceedings{hamarneh20053d,\n title={3D live-wire-based semi-automatic segmentation of medical images},\n author={Hamarneh, Ghassan and Yang, Johnson and McIntosh, Chris and Langille, Morgan},\n booktitle={Proceedings of SPIE Medical Imaging: Image Processing},\n volume={5747},\n pages={1597--1603},\n year={2005}\n}\n\n\n
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\n \n undefined\n \n \n (8)\n \n \n
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\n\n \n \n \n \n \n Optimal Weights in Convex Functionals: Taking the Guesswork Out of Segmentation.\n \n \n \n\n\n \n McIntosh, C., & Hamarneh, G.\n\n\n \n\n\n\n . .\n
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@article{mcintoshoptimal,\n title={Optimal Weights in Convex Functionals: Taking the Guesswork Out of Segmentation},\n author={McIntosh, Chris and Hamarneh, Ghassan}\n}\n\n\n
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\n\n \n \n \n \n \n Perception-based Visualization of High-Dimensional Medical Images Using Distance Preserving Dimensionality Reduction.\n \n \n \n\n\n \n Hamarneh, G., McIntosh, C., & Drew, M. S\n\n\n \n\n\n\n . .\n
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@article{hamarnehperception,\n title={Perception-based Visualization of High-Dimensional Medical Images Using Distance Preserving Dimensionality Reduction},\n author={Hamarneh, Ghassan and McIntosh, Chris and Drew, Mark S}\n}\n\n\n
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\n\n \n \n \n \n \n Radiotherapy and Oncology, 2019, Volume 130, January, pp. 1–196.\n \n \n \n\n\n \n Baumann, M, Bacchus, C, Welch, M., McIntosh, C, Haibe-Kains, B, Milosevic, M., Wee, L, Dekker, A, Huang, S., Purdie, T., & others\n\n\n \n\n\n\n . .\n
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@article{baumannradiotherapy,\n title={Radiotherapy and Oncology, 2019, Volume 130, January, pp. 1--196},\n author={Baumann, M and Bacchus, C and Welch, ML and McIntosh, C and Haibe-Kains, B and Milosevic, MF and Wee, L and Dekker, A and Huang, SH and Purdie, TG and others}\n}\n\n\n
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\n\n \n \n \n \n \n Noise Isolation in Mixed-Signal Systems Using Alternating Impedance Electromagnetic Bandgap (AI-EBG) Structure-Based Power Distribution Network (PDN)............ J. Choi, V. Govind, M. Swaminathan, and K. Bharath 2 Escape Routing in Modern Area Array Packaging: An Analysis of Need, Trend, and Capability...........................\n \n \n \n\n\n \n Jaiswal, B, Roy, M., Titus, A., Yang, J, Ume, I., Zhang, L, Hsu, L., Wu, W., Chang, E., Zirath, H, & others\n\n\n \n\n\n\n . .\n
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@article{jaiswalnoise,\n title={Noise Isolation in Mixed-Signal Systems Using Alternating Impedance Electromagnetic Bandgap (AI-EBG) Structure-Based Power Distribution Network (PDN)............ J. Choi, V. Govind, M. Swaminathan, and K. Bharath 2 Escape Routing in Modern Area Array Packaging: An Analysis of Need, Trend, and Capability...........................},\n author={Jaiswal, B and Roy, MK and Titus, AH and Yang, J and Ume, IC and Zhang, L and Hsu, LH and Wu, WC and Chang, EY and Zirath, H and others}\n}\n\n\n
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\n\n \n \n \n \n \n Barrie Rose Research Day in Palliative Medicine 2022.\n \n \n \n\n\n \n Hanon, B., Liu, A. Z. H., Berlin, A., Haibe-Kains, B., & McIntosh, C.\n\n\n \n\n\n\n . .\n
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@article{hanonbarrie,\n title={Barrie Rose Research Day in Palliative Medicine 2022},\n author={Hanon, Breffni and Liu, Amy Zhi Hui and Berlin, Alejandro and Haibe-Kains, Benjamin and McIntosh, Christopher}\n}\n\n\n
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\n\n \n \n \n \n \n Radiomic Extraction and Analysis for DICOM Images to Refine Objective Quality Control (READII-2-ROQC): An open-source foundation for head and neck radiomics.\n \n \n \n\n\n \n Scott, K. L, Kim, S., Joseph, J. J, Boccalon, M., Welch, M., Alim, M., Yousafzai, U., Smith, I., McIntosh, C., Rey-McIntyre, K., & others\n\n\n \n\n\n\n . .\n
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@article{scottradiomic,\n title={Radiomic Extraction and Analysis for DICOM Images to Refine Objective Quality Control (READII-2-ROQC): An open-source foundation for head and neck radiomics},\n author={Scott, Katy L and Kim, Sejin and Joseph, Jermiah J and Boccalon, Matthew and Welch, Mattea and Alim, Mogtaba and Yousafzai, Umar and Smith, Ian and McIntosh, Chris and Rey-McIntyre, Katrina and others}\n}\n\n\n
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