CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning

18 April 2025

Papers citing "CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning"

30 / 30 papers shown

Title
Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision M. Taher Michael B. Gotway Jianming Liang MedIm 89 6 0 24 Apr 2024
GAIA-1: A Generative World Model for Autonomous Driving Masane Fuchi Lloyd Russell Hudson Yeo Zak Murez Hiroto Minami Alex Kendall Tomohiro Takagi Gianluca Corrado VGen 78 237 0 29 Sep 2023
LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching D. M. Nguyen Hoang Nguyen Nghiem Tuong Diep Tan Ngoc Pham T. Cao ... Nhat Ho Shadi Albarqouni P. Xie Daniel Sonntag Mathias Niepert VLM MedIm 67 51 0 20 Jun 2023
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones Yulin Wang Yang Yue Rui Lu Tian-De Liu Zhaobai Zhong S. Song Gao Huang 57 29 0 17 Nov 2022
EquiMod: An Equivariance Module to Improve Self-Supervised Learning Alexandre Devillers Mathieu Lefort SSL 35 18 0 02 Nov 2022
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis F. Haghighi M. Taher Michael B. Gotway Jianming Liang MedIm 68 72 0 21 Apr 2022
Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation Lei Zhou Huidong Liu Joseph Bae Junjun He Dimitris Samaras Prateek Prasanna MedIm ViT 46 68 0 10 Mar 2022
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language Alexei Baevski Wei-Ning Hsu Qiantong Xu Arun Babu Jiatao Gu Michael Auli SSL VLM ViT 97 855 0 07 Feb 2022
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 159 5,167 0 10 Jan 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 451 7,739 0 11 Nov 2021
BEiT: BERT Pre-Training of Image Transformers Hangbo Bao Li Dong Songhao Piao Furu Wei ViT 255 2,819 0 15 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 665 6,066 0 29 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers Xinlei Chen Saining Xie Kaiming He ViT 154 1,862 0 05 Apr 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 441 21,392 0 25 Mar 2021
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning F. Haghighi M. Taher Zongwei Zhou Michael B. Gotway Jianming Liang MedIm 70 107 0 21 Feb 2021
Domain Adaptation for Medical Image Analysis: A Survey Hao Guan Mingxia Liu OOD 120 551 0 18 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 105 514 0 13 Jan 2021
SAM: Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images K. Yan Jinzheng Cai D. Jin S. Miao Dazhou Guo Adam P. Harrison Youbao Tang Jing Xiao Jingjing Lu Le Lu MedIm 55 86 0 04 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 632 41,003 0 22 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 95 852 0 05 Oct 2020
Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation Xing Tao Yuexiang Li Wenhui Zhou Kai Ma Yefeng Zheng 49 68 0 17 Jul 2020
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations Hong-Yu Zhou Shuang Yu Cheng Bian Yifan Hu Kai Ma Yefeng Zheng SSL MedIm 61 104 0 15 Jul 2020
Contrastive learning of global and local features for medical image segmentation with limited annotations K. Chaitanya Ertunc Erdil Neerav Karani E. Konukoglu SSL 74 552 0 18 Jun 2020
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 113 1,354 0 03 Dec 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 112 2,594 0 21 Jan 2019
World Models David R Ha Jürgen Schmidhuber SyDa 119 1,082 0 27 Mar 2018
Decoupled Weight Decay Regularization I. Loshchilov Frank Hutter OffRL 141 2,136 0 14 Nov 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 687 131,526 0 12 Jun 2017
A Learned Representation For Artistic Style Vincent Dumoulin Jonathon Shlens M. Kudlur GAN 295 1,163 0 24 Oct 2016
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 289 26,181 0 11 Nov 2013