Giga-SSL: Self-Supervised Learning for Gigapixel Images

6 December 2022

Papers citing "Giga-SSL: Self-Supervised Learning for Gigapixel Images"

24 / 24 papers shown

Title
Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning Tim Lenz Peter Neidlinger M. Ligero Georg Wolflein M. Treeck Jakob Nikolas Kather 105 2 0 20 Nov 2024
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning Richard J. Chen Chengkuan Chen Yicong Li Tiffany Y. Chen A. Trister Rahul G. Krishnan Faisal Mahmood ViT MedIm 61 414 0 06 Jun 2022
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 53 39 0 13 Sep 2021
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification Zhucheng Shao Hao Bian Yang Chen Yifeng Wang Jian Zhang Xiangyang Ji Yongbing Zhang ViT MedIm 71 650 0 02 Jun 2021
SparseConvMIL: Sparse Convolutional Context-Aware Multiple Instance Learning for Whole Slide Image Classification Marvin Lerousseau Maria Vakalopoulou Eric Deutsch Nikos Paragios 39 20 0 06 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 587 5,920 0 29 Apr 2021
Self-Supervision Closes the Gap Between Weak and Strong Supervision in Histology Olivier Dehaene Axel Camara O. Moindrot Axel de Lavergne P. Courtiol 59 69 0 07 Dec 2020
Self supervised contrastive learning for digital histopathology Ozan Ciga Tony Xu Anne L. Martel SSL 131 311 0 27 Nov 2020
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 189 3,992 0 20 Nov 2020
Intriguing Properties of Contrastive Losses Ting Chen Calvin Luo Lala Li 45 174 0 05 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 400 40,217 0 22 Oct 2020
Multimodal brain tumor classification Marvin Lerousseau Eric Deutsch Nikos Paragios 18 7 0 03 Sep 2020
Dual-stream Maximum Self-attention Multi-instance Learning Bin Li K. Eliceiri 23 6 0 09 Jun 2020
Kernel Self-Attention in Deep Multiple Instance Learning Dawid Rymarczyk Adriana Borowa Jacek Tabor Bartosz Zieliñski SSL 103 5 0 25 May 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 75 1,313 0 20 May 2020
Data Efficient and Weakly Supervised Computational Pathology on Whole Slide Images Ming Y. Lu Drew F. K. Williamson Tiffany Y. Chen Richard J. Chen Matteo Barbieri Faisal Mahmood 62 1,287 0 20 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 255 18,607 0 13 Feb 2020
Self-Supervised Learning of Pretext-Invariant Representations Ishan Misra Laurens van der Maaten SSL VLM 74 1,448 0 04 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 113 12,007 0 13 Nov 2019
Attention-based Deep Multiple Instance Learning Maximilian Ilse Jakub M. Tomczak Max Welling 118 1,790 0 13 Feb 2018
Submanifold Sparse Convolutional Networks Benjamin Graham Laurens van der Maaten 65 464 0 05 Jun 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 844 149,474 0 22 Dec 2014
A Generalization of the Noisy-Or Model S. Srinivas 57 214 0 06 Mar 2013