Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification

23 October 2022

Zongwei Zhou

Papers citing "Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification"

43 / 43 papers shown

Title
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? Wenxuan Li Alan Yuille Zongwei Zhou MedIm 100 9 0 20 Jan 2025
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation Chong Wang Fengbei Liu Yuanhong Chen Helen Frazer Gustavo Carneiro 54 2 0 07 Nov 2024
Masked Image Modeling: A Survey Vlad Hondru Florinel-Alin Croitoru Shervin Minaee Radu Tudor Ionescu N. Sebe 104 8 0 13 Aug 2024
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis Jiaxin Zhuang Linshan Wu Qiong Wang V. Vardhanabhuti Lin Luo Hao Chen Hao Chen 74 4 0 24 Apr 2024
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? Yi Tay Mostafa Dehghani Samira Abnar Hyung Won Chung W. Fedus J. Rao Sharan Narang Vinh Q. Tran Dani Yogatama Donald Metzler AI4CE 79 102 0 21 Jul 2022
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis F. Haghighi M. Taher Michael B. Gotway Jianming Liang MedIm 63 72 0 21 Apr 2022
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs Xiaohan Ding Xinming Zhang Yi Zhou Jungong Han Guiguang Ding Jian Sun VLM 103 536 0 13 Mar 2022
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis Yucheng Tang Dong Yang Wenqi Li H. Roth Bennett Landman Daguang Xu V. Nath Ali Hatamizadeh ViT MedIm 90 524 0 29 Nov 2021
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification Fengbei Liu Yu Tian Yuanhong Chen Yuyuan Liu Vasileios Belagiannis G. Carneiro 67 79 0 25 Nov 2021
iBOT: Image BERT Pre-Training with Online Tokenizer Jinghao Zhou Chen Wei Huiyu Wang Wei Shen Cihang Xie Alan Yuille Tao Kong 62 722 0 15 Nov 2021
The Emergence of the Shape Bias Results from Communicative Efficiency Eva Portelance Michael C. Frank Dan Jurafsky Alessandro Sordoni Romain Laroche 106 19 0 13 Sep 2021
Is it Time to Replace CNNs with Transformers for Medical Images? Christos Matsoukas Johan Fredin Haslum Magnus P Soderberg Kevin Smith ViT OOD MedIm 56 147 0 20 Aug 2021
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers Andreas Steiner Alexander Kolesnikov Xiaohua Zhai Ross Wightman Jakob Uszkoreit Lucas Beyer ViT 99 623 0 18 Jun 2021
BEiT: BERT Pre-Training of Image Transformers Hangbo Bao Li Dong Songhao Piao Furu Wei ViT 179 2,790 0 15 Jun 2021
Delving Deep into the Generalization of Vision Transformers under Distribution Shifts Chongzhi Zhang Mingyuan Zhang Shanghang Zhang Daisheng Jin Qiang-feng Zhou Zhongang Cai Haiyu Zhao Xianglong Liu Ziwei Liu 57 103 0 14 Jun 2021
Partial success in closing the gap between human and machine vision Robert Geirhos Kantharaju Narayanappa Benjamin Mitzkus Tizian Thieringer Matthias Bethge Felix Wichmann Wieland Brendel VLM AAML 65 224 0 14 Jun 2021
Vision Transformers are Robust Learners Sayak Paul Pin-Yu Chen ViT 53 310 0 17 May 2021
Are Convolutional Neural Networks or Transformers more like human vision? Shikhar Tuli Ishita Dasgupta Erin Grant Thomas Griffiths ViT FaML 41 185 0 15 May 2021
Escaping the Big Data Paradigm with Compact Transformers Ali Hassani Steven Walton Nikhil Shah Abulikemu Abuduweili Jiachen Li Humphrey Shi 103 462 0 12 Apr 2021
XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations Eunji Kim Siwon Kim Minji Seo Sungroh Yoon ViT FAtt 44 114 0 19 Mar 2021
UNETR: Transformers for 3D Medical Image Segmentation Ali Hatamizadeh Yucheng Tang Vishwesh Nath Dong Yang Andriy Myronenko Bennett Landman H. Roth Daguang Xu ViT MedIm 145 1,567 0 18 Mar 2021
CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation Yutong Xie Jianpeng Zhang Chunhua Shen Yong-quan Xia ViT MedIm 66 496 0 04 Mar 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation Yundong Zhang Huiye Liu Qiang Hu ViT MedIm 233 907 0 16 Feb 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir Fahad Shahbaz Khan M. Shah ViT 255 2,463 0 04 Jan 2021
A Survey on Visual Transformer Kai Han Yunhe Wang Hanting Chen Xinghao Chen Jianyuan Guo ... Chunjing Xu Yixing Xu Zhaohui Yang Yiman Zhang Dacheng Tao ViT 115 2,174 0 23 Dec 2020
Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration F. Haghighi M. Taher Zongwei Zhou Michael B. Gotway Jianming Liang MedIm 52 65 0 14 Jul 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 182 4,051 0 17 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 282 6,718 0 13 Jun 2020
Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels Hieu H. Pham T. Le Dat Ngo Dat Q. Tran H. Nguyen 47 164 0 25 May 2020
Quantifying Attention Flow in Transformers Samira Abnar Willem H. Zuidema 113 789 0 02 May 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 426 3,397 0 09 Mar 2020
CheXclusion: Fairness gaps in deep chest X-ray classifiers Laleh Seyyed-Kalantari Guanxiong Liu Matthew B. A. McDermott Irene Y. Chen Marzyeh Ghassemi OOD 70 289 0 14 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 119 12,007 0 13 Nov 2019
On the Relationship between Self-Attention and Convolutional Layers Jean-Baptiste Cordonnier Andreas Loukas Martin Jaggi 91 530 0 08 Nov 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 587 4,735 0 13 May 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 92 2,568 0 21 Jan 2019
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs Yuxing Tang Xiaosong Wang Adam P. Harrison Le Lu Jing Xiao Ronald M. Summers 62 153 0 19 Jul 2018
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays Jinzheng Cai Le Lu Adam P. Harrison Xiaoshuang Shi Pingjun Chen Ling Yang 45 54 0 03 Jul 2018
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification Ivo M. Baltruschat H. Nickisch M. Grass T. Knopp A. Saalbach 49 382 0 06 Mar 2018
Semi-supervised Learning using Denoising Autoencoders for Brain Lesion Detection and Segmentation Alex Varghese Kiran Vaidhya Subramaniam Thirunavukkarasu C. Kesavdas Ganapathy Krishnamurthi MedIm 48 57 0 26 Nov 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 239 8,030 0 13 Aug 2016
Deep Networks with Stochastic Depth Gao Huang Yu Sun Zhuang Liu Daniel Sedra Kilian Q. Weinberger 158 2,344 0 30 Mar 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 181 9,280 0 14 Dec 2015