| 2026 | WACV | HistoMILKD: A Multiple Instance Learning based Multi-Teacher Knowledge Distillation Framework for Whole Slide Image Classification. | Mayur Mallya, Ali Khajegili Mirabadi, Hossein Farahani, Ali Bashashati |
| 2025 | ICLR | Boltzmann Semantic Score: A Semantic Metric for Evaluating Large Vision Models Using Large Language Models. | Ali Khajegili Mirabadi, Katherine Rich, Hossein Farahani, Ali Bashashati |
| 2023 | CVPR | Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images. | Ramin Nakhli, Puria Azadi Moghadam, Haoyang Mi, Hossein Farahani, Alexander Baras, C. Blake Gilks, Ali Bashashati |
| 2023 | ICCV | CO-PILOT: Dynamic Top-Down Point Cloud with Conditional Neighborhood Aggregation for Multi-Gigapixel Histopathology Image Representation. | Ramin Nakhli, Allen W. Zhang, Ali Khajegili Mirabadi, Katherine Rich, Maryam Asadi, C. Blake Gilks, Hossein Farahani, Ali Bashashati |
| 2023 | MICCAI | ALL-IN: ALocal GLobal Graph-Based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment. | Puria Azadi, Jonathan Suderman, Ramin Nakhli, Katherine Rich, Maryam Asadi, Sonia Kung, Htoo Oo, Mira Keyes, Hossein Farahani, Calum MacAulay, Larry Goldenberg, Peter Black, Ali Bashashati |
| 2023 | WACV | A Morphology Focused Diffusion Probabilistic Model for Synthesis of Histopathology Images. | Puria Azadi Moghadam, Sanne Van Dalen, Karina C. Martin, Jochen K. Lennerz, Stephen Yip, Hossein Farahani, Ali Bashashati |
| 2022 | ECCV | CCRL: Contrastive Cell Representation Learning. | Ramin Nakhli, Amirali Darbandsari, Hossein Farahani, Ali Bashashati |