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.
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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