| 2024 | MICCAI | SAMU: An Efficient and Promptable Foundation Model for Medical Image Segmentation. | Joseph Bae, Xueqi Guo, Halid Ziya Yerebakan, Yoshihisa Shinagawa, Sepehr Farhand |
| 2024 | MICCAI | HoG-Net: Hierarchical Multi-organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images. | Joseph Bae, Saarthak Kapse, Lei Zhou, Kartik Mani, Prateek Prasanna |
| 2023 | ICCV | Enhancing Modality-Agnostic Representations via Meta-learning for Brain Tumor Segmentation. | Aishik Konwer, Xiaoling Hu, Joseph Bae, Xuan Xu, Chao Chen, Prateek Prasanna |
| 2023 | UIST | Context-Aware Sit-Stand Desk for Promoting Healthy and Productive Behaviors. | Donghan Hu, Joseph Bae, Sol Ie Lim, Sang Won Lee |
| 2022 | CVPR | Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations. | Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna |
| 2021 | MICCAI | Attention-Based Multi-scale Gated Recurrent Encoder with Novel Correlation Loss for COVID-19 Progression Prediction. | Aishik Konwer, Joseph Bae, Gagandeep Singh, Rishabh Gattu, Syed Ali, Jeremy Green, Tej Phatak, Prateek Prasanna |
| 2021 | MICCAI | Chest Radiograph Disentanglement for COVID-19 Outcome Prediction. | Lei Zhou, Joseph Bae, Huidong Liu, Gagandeep Singh, Jeremy Green, Dimitris Samaras, Prateek Prasanna |