H.R. Tizhoosh — accepted AI-conference papers

2024

Rotation-Agnostic Image Representation Learning for Digital Pathology

Saghir Alfasly, Abubakr Shafique, Peyman Nejat, Jibran Khan, Areej Alsaafin, Ghazal Alabtah +1

CVPR 2024poster

This paper addresses complex challenges in histopathological image analysis through three key contributions. Firstly it introduces a fast patch selection method FPS for whole-slide image (WSI) analysis significantly reducing computational cost while maintaining accuracy. Secondly it presents PathDin…

Cited by 7 Source ↗PDF ↗Scholar ↗

2020

Learning Permutation Invariant Representations using Memory Networks

Shivam Kalra, Mohammed Adnan, Graham Taylor, H.R. Tizhoosh

ECCV 2020poster

Many real-world tasks such as classification of digital histopathological images and 3D object detection involve learning from a set of instances. In these cases, only a group of instances or a set, collectively, contains meaningful information and therefore only the sets have labels, and not indivi…

Cited by 24 Source ↗PDF ↗Scholar ↗