Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By
Comparing Image Representations

Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations

15 July 2020

Papers citing "Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations"

11 / 61 papers shown

Title
Unsupervised Local Discrimination for Medical Images Huai Chen Renzhen Wang Xiuying Wang Jieyu Li Qu Fang Hui Li Jianhao Bai Qing Peng Deyu Meng Lisheng Wang SSL 20 7 0 21 Aug 2021
An Evaluation of Self-Supervised Pre-Training for Skin-Lesion Analysis Levy G. Chaves Alceu Bissoto Eduardo Valle Sandra Avila 27 15 0 17 Jun 2021
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation Hong-Yu Zhou Chengdi Wang Haofeng Li Gang Wang Shu Zhen Zhang Wei-min Li Yizhou Yu 21 48 0 03 Jun 2021
Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation Hong-Yu Zhou Hualuo Liu Shilei Cao Dong Wei Chi-Ken Lu Yizhou Yu Kai Ma Yefeng Zheng 21 7 0 30 Mar 2021
Deep Learning for Chest X-ray Analysis: A Survey Ecem Sogancioglu E. Çallı Bram van Ginneken K. G. V. Leeuwen K. Murphy LM&MA 24 317 0 15 Mar 2021
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification Fengbei Liu Yu Tian F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro 23 41 0 05 Mar 2021
MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures Luyan Liu Zhiwei Wen Songwei Liu Hong-Yu Zhou Hongwei Zhu Weicheng Xie Linlin Shen Kai Ma Yefeng Zheng 24 7 0 26 Feb 2021
Self-Taught Semi-Supervised Anomaly Detection on Upper Limb X-rays A. Spahr Behzad Bozorgtabar Jean-Philippe Thiran 27 16 0 19 Feb 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 48 506 0 13 Jan 2021
Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging G. Liang Connor Greenwell Yu Zhang Xiaoqin Wang Ramakanth Kavuluru Nathan Jacobs 42 21 0 06 Oct 2020
Hard Negative Mixing for Contrastive Learning Yannis Kalantidis Mert Bulent Sariyildiz Noé Pion Philippe Weinzaepfel Diane Larlus SSL 55 630 0 02 Oct 2020