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Saeed Razavi

2 accepted papers

2025

‌Navigating the MIL Trade-Off: Flexible Pooling for Whole Slide Image Classification

NeurIPS 2025poster

Multiple Instance Learning (MIL) is a standard weakly supervised approach for Whole Slide Image (WSI) classification, where performance hinges on both feature representation and MIL pooling strategies. Recent research has predominantly focused on Transformer-based architectures adapted for WSIs. How…

Cited by 0SourcecodeScholar
2024

Snuffy: Efficient Whole Slide Image Classifier

ECCV 2024poster

"Whole Slide Image (WSI) classification with multiple instance learning (MIL) in digital pathology faces significant computational challenges. Current methods mostly rely on extensive self-supervised learning (SSL) for satisfactory performance, requiring long training periods and considerable comput…