Hossein Farahani

According to our database, Hossein Farahani authored at least 13 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

KAFSTExp: Kernel Adaptive Filtering With Nyström Approximation for Predicting Spatial Gene Expression From Histology Images.

Haoran Liu, Hossein Farahani, Xifeng Li, Yongle Xie, Ali Bashashati

IEEE J. Biomed. Health Informatics, March, 2026

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

Boltzmann Semantic Score: A Semantic Metric for Evaluating Large Vision Models Using Large Language Models.

Ali Khajegili Mirabadi, Katherine Rich, Hossein Farahani, Ali Bashashati

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Benchmarking Histopathology Foundation Models for Ovarian Cancer Bevacizumab Treatment Response Prediction from Whole Slide Images.

Mayur Mallya, Ali Khajegili Mirabadi, Hossein Farahani, Ali Bashashati

CoRR, 2024

GRASP: GRAph-Structured Pyramidal Whole Slide Image Representation.

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

CoRR, 2024

2023

VOLTA: an Environment-Aware Contrastive Cell Representation Learning for Histopathology.

Ramin Nakhli, Allen Zhang, Hossein Farahani, Amirali Darbandsari, Elahe Shenasa, Sidney Thiessen, Katy Milne, Jessica McAlpine, Brad Nelson, C. Blake Gilks, Ali Bashashati

CoRR, 2023

AMIGO: 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

CoRR, 2023

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

CCRL: Contrastive Cell Representation Learning.

Ramin Nakhli, Amirali Darbandsari, Hossein Farahani, Ali Bashashati

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2020

Classification of Epithelial Ovarian Carcinoma Whole-Slide Pathology Images Using Deep Transfer Learning.

Yiping Wang, David Farnell, Hossein Farahani, Mitchell Nursey, Basile Tessier-Cloutier, Steven J. M. Jones, David G. Huntsman, C. Blake Gilks, Ali Bashashati

CoRR, 2020