Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology

1 March 2022

Papers citing "Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology"

23 / 23 papers shown

Title
Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study Ali Mammadov Loic Le Folgoc Julien Adam Anne Buronfosse Gilles Hayem Guillaume Hocquet Pietro Gori SSL 45 0 0 02 May 2025
Advanced Deep Learning and Large Language Models: Comprehensive Insights for Cancer Detection Yassine Habchi Hamza Kheddar Yassine Himeur Adel Belouchrani Erchin Serpedin Fouad Khelifi Muhammad E.H. Chowdhury LM&MA 46 0 0 30 Mar 2025
Phikon-v2, A large and public feature extractor for biomarker prediction Alexandre Filiot Paul Jacob Alice Mac Kain Charlie Saillard MedIm 39 17 0 13 Sep 2024
Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image Classification Bryan Wong MunYong Yi Mun Yong Yi VLM 50 0 0 02 Aug 2024
Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor Microenvironment Subtype Prediction Fangliangzi Meng Hongrun Zhang Ruodan Yan Guohui Chuai Chao Li Qi Liu MedIm 35 1 0 10 Jun 2024
Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification Gexin Huang Chenfei Wu Mingjie Li Xiaojun Chang Ling-Hao Chen Ying Sun Shen Zhao Xiaodan Liang Liang Lin MedIm 29 0 0 05 Jun 2024
Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning Hasindri Watawana Kanchana Ranasinghe Tariq Mahmood Muzammal Naseer Salman Khan Fahad Shahbaz Khan SSL 38 3 0 21 Mar 2024
RudolfV: A Foundation Model by Pathologists for Pathologists Jonas Dippel Barbara Feulner Tobias Winterhoff Timo Milbich Stephan Tietz ... David Horst Lukas Ruff Klaus-Robert Muller Frederick Klauschen Maximilian Alber 25 28 0 08 Jan 2024
Artificial Intelligence for Digital and Computational Pathology Andrew H. Song Guillaume Jaume Drew F. K. Williamson Ming Y. Lu Anurag J. Vaidya Tiffany R. Miller Faisal Mahmood AI4CE 30 129 0 13 Dec 2023
Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction Mohamed El Amine Elforaici E. Montagnon Francisco Perdigon Romero W. Le F. Azzi Dominique Trudel Bich Nguyen Simon Turcotte An Tang Samuel Kadoury MedIm 25 2 0 17 Nov 2023
A vision transformer-based framework for knowledge transfer from multi-modal to mono-modal lymphoma subtyping models Bilel Guetarni Féryal Windal H. Benhabiles Marianne Petit Romain Dubois Emmanuelle Leteurtre Dominique Collard DiffM 15 2 0 02 Aug 2023
OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification Linhao Qu Yingfan Ma Zhiwei Yang Manning Wang Zhijian Song VLM LM&MA 33 8 0 11 Jul 2023
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need Linhao Qu Yingfan Ma Xiao-Zhuo Luo Manning Wang Zhijian Song VLM 19 18 0 05 Jul 2023
Seeded iterative clustering for histology region identification Eduard Chelebian F. Ciompi C. Wählby 20 2 0 14 Nov 2022
Language models are good pathologists: using attention-based sequence reduction and text-pretrained transformers for efficient WSI classification Juan Pisula Katarzyna Bozek VLM MedIm 28 3 0 14 Nov 2022
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning Kangning Liu Weicheng Zhu Yiqiu Shen Sheng Liu N. Razavian Krzysztof J. Geras C. Fernandez‐Granda SSL 28 24 0 17 Oct 2022
Patient-level Microsatellite Stability Assessment from Whole Slide Images By Combining Momentum Contrast Learning and Group Patch Embeddings D. Shats Hadar Hezi Guy Shani Y. Maruvka Moti Freiman 11 2 0 22 Aug 2022
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis Linhao Qu Siyu Liu Xiaoyu Liu Manning Wang Zhijian Song 17 56 0 18 Aug 2022
From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology Maximilian Springenberg A. Frommholz M. Wenzel Eva Weicken Jackie Ma Nils Strodthoff MedIm 25 42 0 11 Apr 2022
Localizing Objects with Self-Supervised Transformers and no Labels Oriane Siméoni Gilles Puy Huy V. Vo Simon Roburin Spyros Gidaris Andrei Bursuc P. Pérez Renaud Marlet Jean Ponce ViT 172 196 0 29 Sep 2021
Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers C. Saillard Olivier Dehaene Tanguy Marchand O. Moindrot A. Kamoun B. Schmauch S. Jégou 30 39 0 13 Sep 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 271 2,603 0 04 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 311 5,773 0 29 Apr 2021