On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy

25 June 2021

Papers citing "On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy"

8 / 8 papers shown

Title
Learning Self-Supervised Representations for Label Efficient Cross-Domain Knowledge Transfer on Diabetic Retinopathy Fundus Images Ekta Gupta Varun Gupta M. Chopra Prakash Chandra Chhipa Marcus Liwicki 21 1 0 20 Apr 2023
Dive into Self-Supervised Learning for Medical Image Analysis: Data, Models and Tasks Chuyan Zhang Yun Gu 29 0 0 25 Sep 2022
Metadata-enhanced contrastive learning from retinal optical coherence tomography images R. Holland Oliver Leingang Hrvoje Bogunović Sophie Riedl L. Fritsche ... U. Schmidt-Erfurth S. Sivaprasad A. Lotery Daniel Rueckert M. Menten 23 9 0 04 Aug 2022
DORA: Exploring Outlier Representations in Deep Neural Networks Kirill Bykov Mayukh Deb Dennis Grinwald Klaus-Robert Muller Marina M.-C. Höhne 27 12 0 09 Jun 2022
Semi-supervised machine learning model for analysis of nanowire morphologies from transmission electron microscopy images Shizhao Lu Brian Montz T. Emrick A. Jayaraman 35 7 0 25 Mar 2022
On the surprising similarities between supervised and self-supervised models Robert Geirhos Kantharaju Narayanappa Benjamin Mitzkus Matthias Bethge Felix Wichmann Wieland Brendel OOD SSL DRL 77 46 0 16 Oct 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 270 3,375 0 09 Mar 2020
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017