| Self pre-training with masked autoencoders for medical image classification and segmentation L Zhou, H Liu, J Bae, J He, D Samaras, P Prasanna 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-6, 2023 | 166* | 2023 |
| Predicting mechanical ventilation requirement and mortality in COVID-19 using radiomics and deep learning on chest radiographs: a multi-institutional study J Bae, S Kapse, G Singh, T Phatak, J Green, N Madan, P Prasanna | 45* | 2020 |
| Effects of prone ventilation on oxygenation, inflammation, and lung infiltrates in COVID-19 related acute respiratory distress syndrome: a retrospective cohort study R Khullar, S Shah, G Singh, J Bae, R Gattu, S Jain, J Green, ... Journal of clinical medicine 9 (12), 4129, 2020 | 26 | 2020 |
| Challenges of equitable vaccine distribution in the covid-19 pandemic J Bae, D Gandhi, J Kothari, S Shankar, J Bae, P Patwa, R Sukumaran, ... arXiv preprint arXiv:2012.12263, 2020 | 21* | 2020 |
| Temporal context matters: Enhancing single image prediction with disease progression representations A Konwer, X Xu, J Bae, C Chen, P Prasanna Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 20 | 2022 |
| Enhancing modality-agnostic representations via meta-learning for brain tumor segmentation A Konwer, X Hu, J Bae, X Xu, C Chen, P Prasanna Proceedings of the IEEE/CVF international conference on computer vision …, 2023 | 18 | 2023 |
| Predicting COVID-19 lung infiltrate progression on chest radiographs using spatio-temporal LSTM based encoder-decoder network A Konwer, J Bae, G Singh, R Gattu, S Ali, J Green, T Phatak, A Gupta, ... Medical Imaging with Deep Learning, 384-398, 2021 | 11 | 2021 |
| Chest radiograph disentanglement for covid-19 outcome prediction L Zhou, J Bae, H Liu, G Singh, J Green, D Samaras, P Prasanna International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 10* | 2021 |
| Attention-based multi-scale gated recurrent encoder with novel correlation loss for COVID-19 progression prediction A Konwer, J Bae, G Singh, R Gattu, S Ali, J Green, T Phatak, P Prasanna Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 9 | 2021 |
| Mobile apps prioritizing privacy, efficiency and equity: A decentralized approach to covid-19 vaccination coordination J Bae, R Sukumaran, S Shankar, A Sharma, I Singh, H Nazir, C Kang, ... arXiv preprint arXiv:2102.09372, 2021 | 7 | 2021 |
| Pre-treatment radiomics from radiotherapy dose regions predict distant brain metastases in stereotactic radiosurgery J Bae, R Cattell, E Zabrocka, J Roberson, D Payne, K Mani, P Prasanna Medical Imaging 2022: Physics of Medical Imaging 12031, 416-420, 2022 | 4 | 2022 |
| New frontiers in domain-inspired radiomics and radiogenomics: increasing role of molecular diagnostics in CNS tumor classification and grading following WHO CNS-5 updates G Singh, A Singh, J Bae, S Manjila, V Spektor, P Prasanna, A Lignelli Cancer Imaging 24 (1), 133, 2024 | 2 | 2024 |
| Pretreatment Spatially Aware Magnetic Resonance Imaging Radiomics Can Predict Distant Brain Metastases (DBMs) After Stereotactic Radiosurgery/Radiation Therapy (SRS/SRT) J Bae, K Mani, E Zabrocka, R Cattell, B O'Grady, D Payne, J Roberson, ... Advances in Radiation Oncology 9 (5), 2024 | 2 | 2024 |
| Do spatial-radiomics improve prediction of locoregional recurrence following radiotherapy for hnscc? J Bae, KM Mani, CJ Noldner, L Czerwonka, S Ryu, P Prasanna International Journal of Radiation Oncology, Biology, Physics 118 (5), e69, 2024 | 2 | 2024 |
| COVID-19 outbreak prediction and analysis using self reported symptoms R Sukumaran, P Patwa, TV Sethuraman, S Shankar, R Kanaparti, J Bae, ... arXiv preprint arXiv:2101.10266, 2020 | 2 | 2020 |
| Token Sparsification for Faster Medical Image Segmentation L Zhou, H Liu, J Bae, J He, D Samaras, P Prasanna International Conference on Information Processing in Medical Imaging, 743-754, 2023 | 1 | 2023 |
| Evolution of chest radiograph radiomics and association with respiratory and inflammatory parameters in COVID-19 patients undergoing prone ventilation: preliminary findings C Cowan, J Bae, G Singh, R Khullar, S Shah, N Madan, P Prasanna Medical Imaging 2021: Computer-Aided Diagnosis 11597, 46-52, 2021 | 1 | 2021 |
| Spatial Radiomic Graphs for Outcome Prediction in Radiation Therapy–treated Head and Neck Squamous Cell Carcinoma Using Pretreatment CT J Bae, K Mani, L Czerwonka, C Vanison, S Ryu, P Prasanna Radiology: Imaging Cancer 7 (2), e240161, 2025 | | 2025 |
| HoG-Net: Hierarchical Multi-organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images J Bae, S Kapse, L Zhou, K Mani, P Prasanna International Conference on Medical Image Computing and Computer-Assisted …, 2024 | | 2024 |
| SAMU: An Efficient and Promptable Foundation Model for Medical Image Segmentation J Bae, X Guo, H Yerebakan, Y Shinagawa, S Farhand International Workshop on Foundation Models for General Medical AI, 134-142, 2024 | | 2024 |
