v1v2 (latest)

Benchmarking Self-Supervised Learning on Diverse Pathology Datasets

9 December 2022

Papers citing "Benchmarking Self-Supervised Learning on Diverse Pathology Datasets"

47 / 47 papers shown

Title
Beyond H&E: Unlocking Pathological Insights with Polarization via Self-supervised Learning Yao Du Jiaxin Zhuang Xiaoyu Zheng Jing Cong Limei Guo Chao He Lin Luo Xiaomeng Li MedIm 88 1 0 05 Mar 2025
Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning Tim Lenz Peter Neidlinger M. Ligero Georg Wolflein M. Treeck Jakob Nikolas Kather 119 3 0 20 Nov 2024
ScaleNet: An Unsupervised Representation Learning Method for Limited Information Huili Huang M. M. Roozbahani SSL 93 804 0 03 Oct 2023
ConCL: Concept Contrastive Learning for Dense Prediction Pre-training in Pathology Images Jiawei Yang Hanbo Chen Yuan Liang Junzhou Huang Lei He Jianhua Yao 78 18 0 14 Jul 2022
RandStainNA: Learning Stain-Agnostic Features from Histology Slides by Bridging Stain Augmentation and Normalization Yiqing Shen Yulin Luo Dinggang Shen Jing Ke OOD 50 43 0 25 Jun 2022
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 96 424 0 06 Jun 2022
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors Christos Matsoukas Johan Fredin Haslum Moein Sorkhei Magnus P Soderberg Kevin Smith VLM OOD MedIm 110 88 0 02 Mar 2022
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology Joseph Boyd Mykola Liashuha Eric Deutsch Nikos Paragios Stergios Christodoulidis Maria Vakalopoulou MedIm 63 35 0 07 Sep 2021
Efficient Self-supervised Vision Transformers for Representation Learning Chunyuan Li Jianwei Yang Pengchuan Zhang Mei Gao Bin Xiao Xiyang Dai Lu Yuan Jianfeng Gao ViT 99 213 0 17 Jun 2021
XCiT: Cross-Covariance Image Transformers Alaaeldin El-Nouby Hugo Touvron Mathilde Caron Piotr Bojanowski Matthijs Douze ... Ivan Laptev Natalia Neverova Gabriel Synnaeve Jakob Verbeek Hervé Jégou ViT 144 511 0 17 Jun 2021
Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Luc Van Gool SSL 100 65 0 10 Jun 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data Yonglong Tian Olivier J. Hénaff Aaron van den Oord SSL 115 101 0 17 May 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 694 6,079 0 29 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers Xinlei Chen Saining Xie Kaiming He ViT 154 1,864 0 05 Apr 2021
Region Similarity Representation Learning Tete Xiao Colorado Reed Xiaolong Wang Kurt Keutzer Trevor Darrell VLM SSL 73 118 0 24 Mar 2021
Spatially Consistent Representation Learning Byungseok Roh Wuhyun Shin Ildoo Kim Sungwoong Kim SSL 55 90 0 10 Mar 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 323 2,347 0 04 Mar 2021
A Petri Dish for Histopathology Image Analysis Jerry W. Wei A. Suriawinata Bing Ren Xiaoying Liu Mikhail Lisovsky ... Michael Baker Naofumi Tomita Lorenzo Torresani Jason W. Wei Saeed Hassanpour 97 73 0 29 Jan 2021
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation Alexander Ke William Ellsworth Oishi Banerjee A. Ng Pranav Rajpurkar MedIm 121 102 0 18 Jan 2021
Big Self-Supervised Models Advance Medical Image Classification Shekoofeh Azizi Basil Mustafa Fiona Ryan Zach Beaver Jan Freyberg ... Alan Karthikesalingam Simon Kornblith Ting-Li Chen Vivek Natarajan Mohammad Norouzi SSL 112 515 0 13 Jan 2021
Self supervised contrastive learning for digital histopathology Ozan Ciga Tony Xu Anne L. Martel SSL 150 317 0 27 Nov 2020
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 253 4,067 0 20 Nov 2020
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning Bin Li Yin Li K. Eliceiri 82 618 0 17 Nov 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 233 4,083 0 17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 371 6,806 0 13 Jun 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 115 1,320 0 20 Apr 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 486 3,433 0 09 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 369 18,778 0 13 Feb 2020
Self-Supervised Learning of Pretext-Invariant Representations Ishan Misra Laurens van der Maaten SSL VLM 105 1,453 0 04 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 204 12,085 0 13 Nov 2019
Self-Supervised Similarity Learning for Digital Pathology J. Gildenblat Eldad Klaiman SSL 44 48 0 20 May 2019
Quantifying the effects of data augmentation and stain color normalization in convolutional neural networks for computational pathology David Tellez G. Litjens Péter Bándi W. Bulten J. Bokhorst F. Ciompi Jeroen van der Laak MedIm OOD 50 486 0 18 Feb 2019
Transfusion: Understanding Transfer Learning for Medical Imaging M. Raghu Chiyuan Zhang Jon M. Kleinberg Samy Bengio MedIm 77 985 0 14 Feb 2019
HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in Multi-Tissue Histology Images S. Graham Q. Vu S. Raza A. Azam Yee Wah Tsang J. T. Kwak Nasir M. Rajpoot 80 1,032 0 16 Dec 2018
Rethinking ImageNet Pre-training Kaiming He Ross B. Girshick Piotr Dollár VLM SSeg 128 1,085 0 21 Nov 2018
BACH: Grand Challenge on Breast Cancer Histology Images Guilherme Aresta Teresa Araújo S. Kwok Sai Saketh Chennamsetty P. MohammedSafwanK. ... L. Boulmane A. Campilho C. Eloy A. Polónia Paulo Aguiar 405 569 0 13 Aug 2018
Representation Learning with Contrastive Predictive Coding Aaron van den Oord Yazhe Li Oriol Vinyals DRL SSL 320 10,302 0 10 Jul 2018
Rotation Equivariant CNNs for Digital Pathology Bastiaan S. Veeling J. Linmans Jim Winkens Taco S. Cohen Max Welling 109 582 0 08 Jun 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 158 1,327 0 23 May 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 444 13,143 0 07 Feb 2018
TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation V. Iglovikov Alexey A. Shvets SSeg 39 613 0 17 Jan 2018
Panoptic Segmentation Alexander Kirillov Kaiming He Ross B. Girshick Carsten Rother Piotr Dollár 110 1,439 0 03 Jan 2018
Decoupled Weight Decay Regularization I. Loshchilov Frank Hutter OffRL 146 2,142 0 14 Nov 2017
Large Batch Training of Convolutional Networks Yang You Igor Gitman Boris Ginsburg ODL 137 848 0 13 Aug 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour Priya Goyal Piotr Dollár Ross B. Girshick P. Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He 3DH 128 3,681 0 08 Jun 2017
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,184 0 16 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,020 0 10 Dec 2015