Deep hybrid convolutional wavelet networks: application to predicting response to chemoradiation in rectal cancers via MRI. Sadri, A. R., DeSilvio, T., Chirra, P., Purysko, A. S., Paspulati, R., Friedman, K., Krishnamurthi, S. S., Liska, D., Stein, S. L., & Viswanath, S. E. In Drukker, K. & Iftekharuddin, K. M., editors, Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, CA, USA, February 20-24, 2022 / online, March 21-27, 2022, volume 12033, of SPIE Proceedings, 2022. SPIE.
Deep hybrid convolutional wavelet networks: application to predicting response to chemoradiation in rectal cancers via MRI [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/micad/SadriDCPPFKLSV22,
  author       = {Amir Reza Sadri and
                  Thomas DeSilvio and
                  Prathyush Chirra and
                  Andrei S. Purysko and
                  Rajmohan Paspulati and
                  Kenneth Friedman and
                  Smitha S. Krishnamurthi and
                  David Liska and
                  Sharon L. Stein and
                  Satish E. Viswanath},
  editor       = {Karen Drukker and
                  Khan M. Iftekharuddin},
  title        = {Deep hybrid convolutional wavelet networks: application to predicting
                  response to chemoradiation in rectal cancers via {MRI}},
  booktitle    = {Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, CA, USA,
                  February 20-24, 2022 / online, March 21-27, 2022},
  series       = {{SPIE} Proceedings},
  volume       = {12033},
  publisher    = {{SPIE}},
  year         = {2022},
  url          = {https://doi.org/10.1117/12.2613035},
  doi          = {10.1117/12.2613035},
  timestamp    = {Wed, 27 Nov 2024 12:14:59 +0100},
  biburl       = {https://dblp.org/rec/conf/micad/SadriDCPPFKLSV22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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