MultiMix: Sparingly Supervised, Extreme Multitask Learning From Medical Images

28 October 2020

Papers citing "MultiMix: Sparingly Supervised, Extreme Multitask Learning From Medical Images"

8 / 8 papers shown

Title
Domain and Task-Focused Example Selection for Data-Efficient Contrastive Medical Image Segmentation Tyler Ward Aaron Moseley Abdullah-Al-Zubaer Imran SSL 122 0 0 25 May 2025
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 140 3,524 0 21 Jan 2020
Semi-Supervised Multi-Task Learning With Chest X-Ray Images A. Imran Demetri Terzopoulos SSL MedIm 13 32 0 10 Aug 2019
Multi-Task Attention-Based Semi-Supervised Learning for Medical Image Segmentation Shuai Chen Gerda Bortsova Antonio Garcia-Uceda Juarez Gijs van Tulder Marleen de Bruijne 51 154 0 29 Jul 2019
Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images Sachin Mehta E. Mercan Jamen Bartlett D. Weaver J. Elmore Linda G. Shapiro 68 195 0 04 Jun 2018
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder CVBM 95 2,817 0 15 Jun 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.2K 76,547 0 18 May 2015
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 194 7,252 0 20 Dec 2013