Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification

9 October 2021

Papers citing "Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification"

6 / 6 papers shown

Title
From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data Yitong Li Tom Nuno Wolf Sebastian Polsterl Igor Yakushev Dennis M. Hedderich Christian Wachinger 29 1 0 09 Apr 2024
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT) Jue Jiang N. Tyagi K. Tringale C. Crane H. Veeraraghavan MedIm 36 34 0 20 May 2022
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations Aishik Konwer Xuan Xu Joseph Bae Chaoyu Chen Prateek Prasanna MedIm 28 15 0 02 Mar 2022
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,371 0 09 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 292 10,613 0 19 Feb 2017