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\n  \n 2024\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n State-of-the-art of CT enhancement methods for RT planning: a review.\n \n \n \n\n\n \n Özer, Ö., Huat, A., Gibon, D., & Thariat, J.\n\n\n \n\n\n\n XXth International Conference on the use of Computers in Radiation therapy (ICCR 2024). jul 2024.\n \n\n\n\n
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@article{Ozgur2024,\ntitle = "State-of-the-art of {CT} enhancement methods for {RT} planning: a review",\nauthor = "Özer, Özgür and Huat, Alexandre and Gibon, David and Thariat, Juliette",\njournal = "XXth International Conference on the use of Computers in Radiation therapy ({ICCR 2024})",\nyear = "2024",\nmonth = "jul",\naddress = "Lyon, France",\ntype = "Poster",\n}\n
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\n \n\n \n \n \n \n \n \n PO-2113 Evaluating and updating predictive models: a high-tech open platform to boost clinical translation.\n \n \n \n \n\n\n \n Huat, A., Franco, N. R., Chang-Claude, J., Cicchetti, A., Gutiérrez-Enríquez, S., Seibold, P., Talbot, C., Vega, A., Gibon, D., Zunino, P., & Rancati, T.\n\n\n \n\n\n\n Radiotherapy and Oncology, 182 Supplement 1: S1897–S1899. may 2023.\n ESTRO 2023, 12-16 May 2023, Vienna. Onsite in Vienna and Online\n\n\n\n
\n\n\n\n \n \n \"PO-2113Paper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{Huat2023,\ntitle = "PO-2113 Evaluating and updating predictive models: a high-tech open platform to boost clinical translation",\nauthor = "Huat, Alexandre and Franco, Nicola Rares and Chang-Claude, Jenny and Cicchetti, Alessandro and Gutiérrez-Enríquez, Sara and Seibold, Petra and Talbot, Chris and Vega, Ana and Gibon, David and Zunino, Paolo and Rancati, Tiziana",\njournal = "Radiotherapy and Oncology",\nvolume = "182 Supplement 1",\npages = "S1897--S1899",\nnote = "ESTRO 2023, 12-16 May 2023, Vienna. Onsite in Vienna and Online",\ntype = "Poster",\npublisher = "Elsevier",\nyear = "2023",\nmonth = "may",\naddress = "Vienna, Austria",\nissn = "0167-8140",\nurl = "https://user-swndwmf.cld.bz/ESTRO-2023-Abstract-Book1/1910",\n}\n
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\n \n\n \n \n \n \n \n \n ERA PerMed 2018: RADprecise.\n \n \n \n \n\n\n \n Aguado, E., Cicchetti, A., Franco, N. R., Giosco, E., Heumann, P., Huat, A., La Rocca, E., López, C., Mapelli, A., Massi, M., Pérez, C., Ward, T., & De Fino, F.\n\n\n \n\n\n\n nov 2022.\n Winner of the video competition 'The story behind our personalised medicine research project'\n\n\n\n
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@misc{RADpERApm2022,\ntitle = "ERA PerMed 2018: RADprecise",\nauthor = "Aguado, Ester and Cicchetti, Alessandro and Franco, Nicola Rares and Giosco, Eliana and Heumann, Philipp and Huat, Alexandre and {La Rocca}, Eliana and López, Carlos and Mapelli, Alessia and Massi, Michela and Pérez, Carlos and Ward, Tim and {De Fino}, Fabio",\nurl = "https://youtu.be/yR9LXra8Wz8",\npublisher = "YouTube",\norganisation = "ERA PerMed",\nyear = "2022",\nmonth = "nov",\nnote = "Winner of the video competition 'The story behind our personalised medicine research project'",\ntype = "Video",\n}\n
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\n \n\n \n \n \n \n \n Deep learning based radiomics to predict treatment response using multi-datasets.\n \n \n \n\n\n \n Brochet, T., Lapuyade-Lahorgue, J., Huat, A., Thureau, S., Pasquier, D., Gardin, I., Modzelewski, R., Gibon, D., Thariat, J., Grégoire, V., Vera, P., & Ruan, S.\n\n\n \n\n\n\n In Su, R., Zhang, Y., Liu, H., & Frangi, A. F, editor(s), Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022), volume 810, of Lecture Notes in Electrical Engineering, pages 431–440, Singapore, nov 2022. Springer\n \n\n\n\n
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@inproceedings{Brochet2022-radiomics,\ntitle = "Deep learning based radiomics to predict treatment response using multi-datasets",\nauthor = "Brochet, Thibaud and Lapuyade-Lahorgue, Jérome and Huat, Alexandre and Thureau, Sébastien and Pasquier, David and Gardin, Isabelle and Modzelewski, Romain and Gibon, David and Thariat, Juliette and Grégoire, Vincent and Vera, Pierre and Ruan, Su",\nyear = "2022",\nmonth = "nov",\nbooktitle = "Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis ({MICAD} 2022)",\npages = "431--440",\npublisher = "Springer",\nseries = "Lecture Notes in Electrical Engineering",\nvolume = "810",\naddress = "Singapore",\neditor = "Su, Ruidan and Zhang, Yudong and Liu, Han and Frangi, Alejandro F",\ndoi = "10.1007/978-981-16-6775-6_35",\nisbn = "978-981-16-6775-6",\n}\n
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\n \n\n \n \n \n \n \n A Quantitative Comparison between Shannon and Tsallis–Havrda–Charvat Entropies Applied to Cancer Outcome Prediction.\n \n \n \n\n\n \n Brochet, T., Lapuyade-Lahorgue, J., Huat, A., Thureau, S., Pasquier, D., Gardin, I., Modzelewski, R., Gibon, D., Thariat, J., Grégoire, V., Vera, P., & Ruan, S.\n\n\n \n\n\n\n Entropy, 24(4). mar 2022.\n \n\n\n\n
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@article{Brochet2022-entropy,\nauthor = "Brochet, Thibaud and Lapuyade-Lahorgue, Jérôme and Huat, Alexandre and Thureau, Sébastien and Pasquier, David and Gardin, Isabelle and Modzelewski, Romain and Gibon, David and Thariat, Juliette and Grégoire, Vincent and Vera, Pierre and Ruan, Su",\ntitle = "A Quantitative Comparison between Shannon and Tsallis–Havrda–Charvat Entropies Applied to Cancer Outcome Prediction",\njournal = "Entropy",\nvolume = "24",\nyear = "2022",\nmonth = "mar",\nnumber = "4",\npubmedid = "35455101",\nissn = "1099-4300",\ndoi = "10.3390/e24040436",\n}\n
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\n  \n\n  \n  \n  \n  \n  \n  \n    Robustness for GOssip Private Averaging.\n  \n  \n  \n  \n\n\n  \n  Huat, A.\n\n\n  \n\n\n\n  Master's thesis, INSA Rouen and University of Rouen, 685 Avenue de l'Université, 76800 Saint-Étienne-du-Rouvray, France, aug 2018.\n  \n\n\n\n
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@mastersthesis{Huat2018,\ntitle = "Robustness for GOssip Private Averaging",\nauthor = "Huat, Alexandre",\nyear = "2018",\nmonth = "aug",\naddress = "685 Avenue de l'Université, 76800 Saint-Étienne-du-Rouvray, France",\nurl = "https://github.com/alexandrehuat/alexandrehuat.github.io/blob/master/assets/pdf/Huat2018-MastersThesis-RobustGOPA.pdf",\nschool = "INSA Rouen and University of Rouen",\ndepartment = "Information Systems Architectures, Data Science",\n}\n
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