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Integrating multi-plane and multi-region radiomic features to predict pathologic response to neoadjuvant chemoradiation in rectal cancers via pre-treatment MRI., , , , , , , , , and 7 other author(s). Medical Imaging: Image-Guided Procedures, volume 12466 of SPIE Proceedings, SPIE, (2023)Intensity normalization of prostate MRIs using conditional generative adversarial networks for cancer detection., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)Region-specific fully convolutional networks for segmentation of the rectal wall on post-chemoradiation T2w MRI., , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 10951 of SPIE Proceedings, page 1095134. SPIE, (2019)Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI., , , , and . MICCAI (3), volume 13433 of Lecture Notes in Computer Science, page 366-375. Springer, (2022)CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models., , , , , , , , , and 3 other author(s). CoRR, (2023)Deep hybrid convolutional wavelet networks: application to predicting response to chemoradiation in rectal cancers via MRI., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)