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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.

T. DeSilvio, L. Bao, D. Seth, P. Chirra, S. Singh, A. Sridharan, M. Labbad, K. Bingmer, D. Jodeh, E. Marderstein, R. Paspulati, D. Liska, K. Friedman, S. Krishnamurthi, S. Stein, A. Purysko, and S. Viswanath. Medical Imaging: Image-Guided Procedures, volume 12466 of SPIE Proceedings, SPIE, (2023)

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Region-specific fully convolutional networks for segmentation of the rectal wall on post-chemoradiation T2w MRI.T. DeSilvio, J. Antunes, P. Chirra, K. Bera, J. Gollamudi, R. Paspulati, C. Delaney, and S. Viswanath. Medical Imaging: Image-Guided Procedures, volume 10951 of SPIE Proceedings, page 1095134. SPIE, (2019)Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study.S. Viswanath, P. Chirra, M. Yim, N. Rofsky, A. Purysko, M. Rosen, B. Bloch, and A. Madabhushi. BMC Medical Imaging, 19 (1): 22:1-22:12 (2019)Residual Wavelon Convolutional Networks for Characterization of Disease Response on MRI.A. Sadri, T. DeSilvio, P. Chirra, S. Singh, and S. Viswanath. MICCAI (3), volume 13433 of Lecture Notes in Computer Science, page 366-375. Springer, (2022)Deep hybrid convolutional wavelet networks: application to predicting response to chemoradiation in rectal cancers via MRI.A. Sadri, T. DeSilvio, P. Chirra, A. Purysko, R. Paspulati, K. Friedman, S. Krishnamurthi, D. Liska, S. Stein, and S. Viswanath. Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)SPARTA: An Integrated Stability, Discriminability, and Sparsity Based Radiomic Feature Selection Approach.A. Sadri, S. Esfahani, P. Chirra, J. Antunes, P. Giriprakash, P. Leo, A. Madabhushi, and S. Viswanath. MICCAI (3), volume 12903 of Lecture Notes in Computer Science, page 445-455. Springer, (2021)Empirical evaluation of cross-site reproducibility in radiomic features for characterizing prostate MRI.P. Chirra, P. Leo, M. Yim, B. Bloch, A. Rastinehad, A. Purysko, M. Rosen, A. Madabhushi, and S. Viswanath. Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105750B. SPIE, (2018)Integrating multi-plane and multi-region radiomic features to predict pathologic response to neoadjuvant chemoradiation in rectal cancers via pre-treatment MRI.T. DeSilvio, L. Bao, D. Seth, P. Chirra, S. Singh, A. Sridharan, M. Labbad, K. Bingmer, D. Jodeh, E. Marderstein and 7 other author(s). Medical Imaging: Image-Guided Procedures, volume 12466 of SPIE Proceedings, SPIE, (2023)Identifying radiomic features associated with disease activity, patient outcomes, and serum phenotypes in pediatric Crohn's disease via MRI.P. Chirra, A. Muchhala, K. Amann, K. Krishnan, J. Kurowski, and S. Viswanath. Medical Imaging: Image-Guided Procedures, volume 12034 of SPIE Proceedings, SPIE, (2022)

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Integrating multi-plane and multi-region radiomic features to predict pathologic response to neoadjuvant chemoradiation in rectal cancers via pre-treatment MRI.

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