Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology

13 September 2023

Jathurshan Pradeepkumar

Mithunjha Anandakumar

Ranga Rodrigo

Chamira U. S. Edussooriya

Papers citing "Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology"

21 / 21 papers shown

Title
DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification Hongrun Zhang Y. Meng Yitian Zhao Yihong Qiao Xiaoyun Yang Sarah E Coupland Yalin Zheng 89 291 0 22 Mar 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 467 7,814 0 11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 694 6,121 0 29 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers Xinlei Chen Saining Xie Kaiming He ViT 157 1,868 0 05 Apr 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 341 2,362 0 04 Mar 2021
Self supervised contrastive learning for digital histopathology Ozan Ciga Tony Xu Anne L. Martel SSL 150 318 0 27 Nov 2020
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 258 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
Deep Learning Based Brain Tumor Segmentation: A Survey Zhihua Liu Lei Tong Zheheng Jiang Long Chen Feixiang Zhou Qianni Zhang Xiangrong Zhang Ling Li Huiyu Zhou 3DV 86 234 0 18 Jul 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 246 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 6,833 0 13 Jun 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 114 1,335 0 20 May 2020
Learning Representations by Predicting Bags of Visual Words Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 102 117 0 27 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 375 18,778 0 13 Feb 2020
Deep learning-based survival prediction for multiple cancer types using histopathology images Ellery Wulczyn David F. Steiner Zhaoyang Xu Apaar Sadhwani Hongwu Wang I. Flament C. Mermel Po-Hsuan Cameron Chen Yun-Hui Liu Martin C. Stumpe 35 214 0 16 Dec 2019
Self-Supervised Learning of Pretext-Invariant Representations Ishan Misra Laurens van der Maaten SSL VLM 108 1,458 0 04 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 207 12,085 0 13 Nov 2019
Learning Representations by Maximizing Mutual Information Across Views Philip Bachman R. Devon Hjelm William Buchwalter SSL 195 1,476 0 03 Jun 2019
Evidential Deep Learning to Quantify Classification Uncertainty Murat Sensoy Lance M. Kaplan M. Kandemir OOD UQCV EDL BDL 185 1,000 0 05 Jun 2018
Deep Learning for Identifying Metastatic Breast Cancer Dayong Wang A. Khosla Rishab Gargeya H. Irshad Andrew H. Beck MedIm 75 942 0 18 Jun 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 831 9,345 0 06 Jun 2015