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Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis

11 February 2023

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Papers citing "Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis"

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Title
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? Wenxuan Li Alan Yuille Zongwei Zhou MedIm 128 10 0 20 Jan 2025
ACE: Anatomically Consistent Embeddings in Composition and Decomposition Ziyu Zhou Haozhe Luo M. Taher Jiaxuan Pang Xiaowei Ding Michael B. Gotway Jianming Liang MedIm 129 0 0 20 Jan 2025
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 91 4 0 24 Apr 2024
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model Han Gu Haoyu Dong Jichen Yang Maciej A. Mazurowski MedIm VLM 118 20 0 15 Apr 2024
SdAE: Self-distillated Masked Autoencoder Yabo Chen Yuchen Liu Dongsheng Jiang Xiaopeng Zhang Wenrui Dai H. Xiong Qi Tian ViT 70 73 0 31 Jul 2022
Contrastive Masked Autoencoders are Stronger Vision Learners Zhicheng Huang Xiaojie Jin Cheng Lu Qibin Hou Mingg-Ming Cheng Dongmei Fu Xiaohui Shen Jiashi Feng 119 153 0 27 Jul 2022
Bootstrapped Masked Autoencoders for Vision BERT Pretraining Xiaoyi Dong Jianmin Bao Ting Zhang Dongdong Chen Weiming Zhang Lu Yuan Dong Chen Fang Wen Nenghai Yu 73 77 0 14 Jul 2022
Siamese Image Modeling for Self-Supervised Vision Representation Learning Chenxin Tao Xizhou Zhu Weijie Su Gao Huang Bin Li Jie Zhou Yu Qiao Xiaogang Wang Jifeng Dai SSL 91 96 0 02 Jun 2022
Green Hierarchical Vision Transformer for Masked Image Modeling Lang Huang Shan You Mingkai Zheng Fei Wang Chao Qian T. Yamasaki 106 72 0 26 May 2022
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis F. Haghighi M. Taher Michael B. Gotway Jianming Liang MedIm 85 72 0 21 Apr 2022
Masked Feature Prediction for Self-Supervised Visual Pre-Training Chen Wei Haoqi Fan Saining Xie Chaoxia Wu Alan Yuille Christoph Feichtenhofer ViT 149 670 0 16 Dec 2021
Self-supervised Video Transformer Kanchana Ranasinghe Muzammal Naseer Salman Khan Fahad Shahbaz Khan Michael S. Ryoo ViT 116 88 0 02 Dec 2021
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 121 536 0 29 Nov 2021
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers Xiaoyi Dong Jianmin Bao Ting Zhang Dongdong Chen Weiming Zhang Lu Yuan Dong Chen Fang Wen Nenghai Yu Baining Guo ViT 117 244 0 24 Nov 2021
iBOT: Image BERT Pre-Training with Online Tokenizer Jinghao Zhou Chen Wei Huiyu Wang Wei Shen Cihang Xie Alan Yuille Tao Kong 83 740 0 15 Nov 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 467 7,814 0 11 Nov 2021
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts Hong-Yu Zhou Chi-Ken Lu Sibei Yang Xiaoguang Han Yizhou Yu SSL CLL 96 87 0 09 Sep 2021
BEiT: BERT Pre-Training of Image Transformers Hangbo Bao Li Dong Songhao Piao Furu Wei ViT 286 2,841 0 15 Jun 2021
MST: Masked Self-Supervised Transformer for Visual Representation Zhaowen Li Zhiyang Chen Fan Yang Wei Li Yousong Zhu ... Rui Deng Liwei Wu Rui Zhao Ming Tang Jinqiao Wang ViT 84 167 0 10 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 703 6,121 0 29 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers Xinlei Chen Saining Xie Kaiming He ViT 157 1,868 0 05 Apr 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 182 1,612 0 18 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 84 107 0 21 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 112 518 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 79 86 0 04 Dec 2020
PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation Yutong Xie Jianpeng Zhang Zehui Liao Yong-quan Xia Chunhua Shen 53 47 0 25 Nov 2020
Exploring Simple Siamese Representation Learning Xinlei Chen Kaiming He SSL 258 4,072 0 20 Nov 2020
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem? Jun Ma Yao Zhang Song Gu Cheng Zhu Cheng Ge ... Shangqing Liu Yunpeng Wang Yuhui Li Jian He Xiaoping Yang SSeg OOD 95 344 0 28 Oct 2020
Contrastive learning of global and local features for medical image segmentation with limited annotations K. Chaitanya Ertunc Erdil Neerav Karani E. Konukoglu SSL 86 552 0 18 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 380 6,833 0 13 Jun 2020
3D Self-Supervised Methods for Medical Imaging Aiham Taleb W. Loetzsch Noel Danz Julius Severin Thomas Gaertner Benjamin Bergner C. Lippert SSL 98 214 0 06 Jun 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 114 1,335 0 20 May 2020
MosMedData: Chest CT Scans With COVID-19 Related Findings Dataset Sergey P. Morozov Anna E. Andreychenko Nikolay A. Pavlov A. Vladzymyrskyy N. Ledikhova V. Gombolevskiy I. Blokhin P. Gelezhe A. Gonchar V. Chernina 46 247 0 13 May 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 486 3,442 0 09 Mar 2020
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge N. Heller Fabian Isensee Klaus H. Maier-Hein X. Hou Chunmei Xie ... S. Peterson A. Kalapara N. Sathianathen Nikolaos Papanikolopoulos C. Weight 57 489 0 02 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 210 12,121 0 13 Nov 2019
Large Scale Adversarial Representation Learning Jeff Donahue Karen Simonyan SSL 130 543 0 04 Jul 2019
A large annotated medical image dataset for the development and evaluation of segmentation algorithms Amber L. Simpson Michela Antonelli Spyridon Bakas Michel Bilello Keyvan Farahani ... M. McHugo S. Napel Eugene Vorontsov Lena Maier-Hein M. Jorge Cardoso 117 862 0 25 Feb 2019
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 263 3,297 0 21 Mar 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 228 5,061 0 02 Nov 2017
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,590 0 01 Sep 2014