| A review of machine learning in obesity KW DeGregory, P Kuiper, T DeSilvio, JD Pleuss, R Miller, JW Roginski, ... Obesity reviews 19 (5), 668-685, 2018 | 176 | 2018 |
| Intensity normalization of prostate MRIs using conditional generative adversarial networks for cancer detection T DeSilvio, S Moroianu, I Bhattacharya, A Seetharaman, G Sonn, M Rusu Medical Imaging 2021: Computer-Aided Diagnosis 11597, 121-126, 2021 | 7 | 2021 |
| Region-specific deep learning models for accurate segmentation of rectal structures on post-chemoradiation T2w MRI: a multi-institutional, multi-reader study T DeSilvio, JT Antunes, K Bera, P Chirra, H Le, D Liska, SL Stein, ... Frontiers in Medicine 10, 1149056, 2023 | 2 | 2023 |
| 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, ... Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and …, 2019 | 2 | 2019 |
| Residual wavelon convolutional networks for characterization of disease response on MRI AR Sadri, T DeSilvio, P Chirra, S Singh, SE Viswanath International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 1 | 2022 |
| Spatial attention wavelon network (SpAWN) for survival-based risk stratification in kidney cancers via CT BT Flannery, T DeSilvio, AR Sadri, M Hariri, EM Remer, J Nguyen, ... Medical Imaging 2024: Computer-Aided Diagnosis 12927, 580-586, 2024 | | 2024 |
| Human-in-the-loop informed deep learning rectal tumor segmentation on pre-treatment MRI M Kong, T DeSilvio, L Bao, B Flannery, BN Parker, S Tang, M Labbad, ... Medical Imaging 2024: Computer-Aided Diagnosis 12927, 17-22, 2024 | | 2024 |
| Intra-and peri-tumoral radiomic features are predictive of pathologic response to multiple neoadjuvant therapy regimen in rectal cancers via pre-treatment MRI L Bao, T DeSilvio, BN Parker, M Hariri, P Chirra, M Labbad, S Tang, ... Cancer Research 84 (6_Supplement), 2582-2582, 2024 | | 2024 |
| Deep learning based risk stratification of pre-operative CT scans is prognostic of overall survival in kidney cancers B Flannery, M Hariri, T DeSilvio, A Sadri, J Nguyen, EM Remer, ... Cancer Research 84 (6_Supplement), 7379-7379, 2024 | | 2024 |
| Multi-plane rectal tumor segmentation on pre-treatment MRI via human-in-the-loop deep learning M Kong, T DeSilvio, L Bao, B Flannery, BN Parker, S Tang, G O'Connor, ... Cancer Research 84 (6_Supplement), 7386-7386, 2024 | | 2024 |
| Hybrid convolutional wavelet networks for predicting treatment response via radiological images of bowel disease AR Sadri, SE Viswanath, T Desilvio US Patent App. 18/169,935, 2023 | | 2023 |
| CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models F Fan, G Martinez, T Desilvio, J Shin, Y Chen, B Wang, T Ozeki, ... arXiv preprint arXiv:2307.08673, 2023 | | 2023 |
| 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, ... Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and …, 2023 | | 2023 |
| Computerized features of tumor diversity on pre-chemoradiation MRI are associated with pathologic complete response in rectal cancers: A multi-institutional study. S Singh, T DeSilvio, A Purysko, RM Paspulati, K Friedman, D Liska, ... Journal of Clinical Oncology 40 (16_suppl), 3608-3608, 2022 | | 2022 |
| Deep hybrid convolutional wavelet networks: application to predicting response to chemoradiation in rectal cancers via MRI AR Sadri, T DeSilvio, P Chirra, A Purysko, R Paspulati, KA Friedman, ... Medical Imaging 2022: Computer-Aided Diagnosis 12033, 123-130, 2022 | | 2022 |
Satish E. ViswanathAssociate Professor, Department of Biomedical Engineering, Case Western Reserve UniversityVerified email at case.edu
