2024
- Bae, J., Mani, K., Noldner, C., Czerwonka, L., Ryu, S., & Prasanna, P. (2024). Do Spatial-Radiomics Improve Prediction of Locoregional Recurrence Following Radiotherapy for HNSCC?. Multidisciplinary Head and Neck Cancers Symposium 2024.
- Bae, J., Mani, K., Zabrocka, E., Cattell, R., O'Grady, B., Payne, D., Roberson, J., Ryu, S., & Prasanna, P. (2024). Pre-treatment Spatially-Aware MRI Radiomics Can Predict Distant Brain Metastases (DBMs) Following Stereotactic Radiosurgery/Radiation Therapy (SRS/SRT). Advances in Radiation Oncology.
2023
- Bae, J. & Prasanna, P. (2023). Graph-Based Spatially-Aware Radiomics Improves Prediction of Locoregional Recurrence in Radiotherapy-Treated Head and Neck Squamous Cell Carcinoma. RSNA 2023.
- Bae, J., Mani, K., Zabrocka, E., Cattell, R., O'Grady, B., Payne, D., Roberson, J., Ryu, S., & Prasanna, P. (2023). Predictive Value of Pre-Treatment MRI Radiomics for Distant Brain Metastases Following Stereotactic Radiosurgery/Radiotherapy. ASTRO 2023.
- Zhou, L., Liu, H., Bae, J., He, J., Samaras, D., & Prasanna, P. (2023). Token Sparsification for Faster Medical Image Segmentation. IPMI 2023.
- Konwer, A., Hu, X., Bae, J., Xu, X., Chen, C., & Prasanna, P. (2023). Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation. ICCV 2023.
- Zhou, L., Liu, H., Bae, J., Samaras, D., & Prasanna, P. (2023). Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation. ISBI 2023.
2022
- Bae, J., Prasanna, P., & Gadgeel, S. (2022). Pre-treatment CT Radiomics Predicts Survival in Chemo-Immunotherapy-treated Small Cell Lung Cancer. ESMO 2022.
- Konwer, A., Xu, X., Bae, J., Chen, C., & Prasanna, P. (2022). Temporal Context Matters: Enhancing Single Image Prediction With Disease Progression Representations. 18824–18835. CVPR 2022.
- Noldner, C., Bae, J., Kartsonis, Cattell, R., Soft, S., Sehgal, G., Pierce, A., Patel, M., Ryu, S., Czerwonka, L., Prasanna, P., & Mani, K. (2022). Pre-Radiation CT-based Radiomic Features Predict Locoregional and Distant Failure in Locally Advanced Head and Neck Cancer. ASTRO 2022.
- Bae, J., Cattell, R., Zabrocka, E., Roberson, J., Payne, D., Mani, K., & Prasanna, P. (2022). Pre-treatment Radiomics from Radiotherapy Dose Regions Predict Distant Brain Metastases in Stereotactic Radiosurgery. SPIE Medical Imaging 2022.
2021
- Bae, J., Kapse, S., Singh, G., Gattu, R., Ali, S., Shah, N., Marshall, C., Pierce, J., Phatak, T., Gupta, A., Green, J., Madan, N., & Prasanna, P. (2021). Predicting Mechanical Ventilation and Mortality in COVID-19 Using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study. Diagnostics, 11(10), 1812.
- Bae, J., Zabrocka, E., Rodriguez, C., Payne, D., Cattell, R., Ryu, S., Prasanna, P., & Mani, K. (2021). Prediction of Regional and Distant Failure after Definitive Thoracic Stereotactic Body Radiation Therapy using Pre-treatment CT-based Radiomic Analysis. Multidisciplinary Thoracic Cancer Symposium 2021.
- Cowan, C., Bae, J., Singh, G., Khullar, R., Shah, S., Madan, N., Prasanna, P. Evolution of Chest Radiograph Radiomics and Association with Respiratory and Inflammatory Parameters in COVID-19 Patients Undergoing Prone Ventilation: Preliminary Findings; International Society for Optics and Photonics, 2021; Vol. 11597, p 1159709.
- Konwer, A., Bae, J., Singh, G., Gattu, R., Ali, S., Green, J., Phatak, T., Gupta, A., Chen, C., Saltz, J., & Prasanna, P. (2021, February 10). Predicting COVID-19 Lung Infiltrate Progression on Chest Radiographs Using Spatio-temporal LSTM based Encoder-Decoder Network. Medical Imaging with Deep Learning.
- Konwer, A., Bae, J., Singh, G., Gattu, R., Ali, S., Green, J., Phatak, T., & Prasanna, P. (2021). Attention-Based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction. MICCAI 2021 (pp. 824–833). Springer International Publishing.
- Zhou, L., Bae, J., Liu, H., Singh, G., Green, J., Samaras, D., & Prasanna, P. (2021). Chest Radiograph Disentanglement for COVID-19 Outcome Prediction. MICCAI 2021. Springer International Publishing.
2020
- Khullar, R., Shah, S., Singh, G., Bae, J., Gattu, R., Jain, S., Green, J., Anandarangam, T., Cohen, M., & Madan, N. (2020). Effects of Prone Ventilation on Oxygenation, Inflammation, and Lung Infiltrates in COVID-19 Related Acute Respiratory Distress Syndrome: A Retrospective Cohort Study. Journal of Clinical Medicine, 9(12), 4129.
