Hossein Farahani

14 papers A* 3A 1Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	KAFSTExp: Kernel Adaptive Filtering With Nyström Approximation for Predicting Spatial Gene Expression From Histology Images. IEEE J. Biomed. Health Informatics Haoran Liu, Hossein Farahani, Xifeng Li, Yongle Xie, Ali Bashashati
2025	A*	`conf`	Boltzmann Semantic Score: A Semantic Metric for Evaluating Large Vision Models Using Large Language Models. ICLR Ali Khajegili Mirabadi, Katherine Rich, Hossein Farahani, Ali Bashashati
2024	J	`jnl`	Benchmarking Histopathology Foundation Models for Ovarian Cancer Bevacizumab Treatment Response Prediction from Whole Slide Images. CoRR Mayur Mallya, Ali Khajegili Mirabadi, Hossein Farahani, Ali Bashashati
2024	J	`jnl`	GRASP: GRAph-Structured Pyramidal Whole Slide Image Representation. CoRR Ali Khajegili Mirabadi, Graham Archibald, Amirali Darbandsari, Alberto Contreras-Sanz, Ramin Ebrahim Nakhli, Maryam Asadi, Allen Zhang, C. Blake Gilks, Peter Black, Gang Wang, Hossein Farahani, Ali Bashashati
2023	A	`conf`	A Morphology Focused Diffusion Probabilistic Model for Synthesis of Histopathology Images. WACV Puria Azadi Moghadam, Sanne Van Dalen, Karina C. Martin, Jochen K. Lennerz, Stephen Yip, Hossein Farahani, Ali Bashashati
2023	—	`conf`	ALL-IN: ALocal GLobal Graph-Based DIstillatioN Model for Representation Learning of Gigapixel Histopathology Images With Application In Cancer Risk Assessment. MICCAI (6) 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	J	`jnl`	AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images. CoRR Ramin Nakhli, Puria Azadi Moghadam, Haoyang Mi, Hossein Farahani, Alexander Baras, C. Blake Gilks, Ali Bashashati
2023	A*	`conf`	CO-PILOT: Dynamic Top-Down Point Cloud with Conditional Neighborhood Aggregation for Multi-Gigapixel Histopathology Image Representation. ICCV Ramin Nakhli, Allen W. Zhang, Ali Khajegili Mirabadi, Katherine Rich, Maryam Asadi, C. Blake Gilks, Hossein Farahani, Ali Bashashati
2023	A*	`conf`	Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images. CVPR Ramin Nakhli, Puria Azadi Moghadam, Haoyang Mi, Hossein Farahani, Alexander Baras, C. Blake Gilks, Ali Bashashati
2023	J	`jnl`	VOLTA: an Environment-Aware Contrastive Cell Representation Learning for Histopathology. CoRR Ramin Nakhli, Allen Zhang, Hossein Farahani, Amirali Darbandsari, Elahe Shenasa, Sidney Thiessen, Katy Milne, Jessica McAlpine, Brad Nelson, C. Blake Gilks, Ali Bashashati
2022	J	`jnl`	A Morphology Focused Diffusion Probabilistic Model for Synthesis of Histopathology Images. CoRR Puria Azadi Moghadam, Sanne Van Dalen, Karina C. Martin, Jochen K. Lennerz, Stephen Yip, Hossein Farahani, Ali Bashashati
2022	—	`conf`	CCRL: Contrastive Cell Representation Learning. ECCV Workshops (7) Ramin Nakhli, Amirali Darbandsari, Hossein Farahani, Ali Bashashati
2022	J	`jnl`	CCRL: Contrastive Cell Representation Learning. CoRR Ramin Nakhli, Amirali Darbandsari, Hossein Farahani, Ali Bashashati
2020	J	`jnl`	Classification of Epithelial Ovarian Carcinoma Whole-Slide Pathology Images Using Deep Transfer Learning. CoRR Yiping Wang, David Farnell, Hossein Farahani, Mitchell Nursey, Basile Tessier-Cloutier, Steven J. M. Jones, David G. Huntsman, C. Blake Gilks, Ali Bashashati