Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube

5 October 2019

Yujiu Yang

Papers citing "Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube"

33 / 33 papers shown

Title
Revisiting MAE pre-training for 3D medical image segmentation Tassilo Wald Constantin Ulrich Stanislav Lukyanenko Andrei Goncharov Alberto Paderno Leander Maerkisch Paul F. Jäger Paul F. Jäger Klaus Maier-Hein 50 2 0 30 Oct 2024
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data Paul Hager M. Menten Daniel Rueckert 29 47 0 24 Mar 2023
Knowledge-enhanced Visual-Language Pre-training on Chest Radiology Images Xiaoman Zhang Chaoyi Wu Ya Zhang Yanfeng Wang Weidi Xie MedIm 44 120 0 27 Feb 2023
A Novel Collaborative Self-Supervised Learning Method for Radiomic Data Zhiyuan Li Hailong Li Anca L. Ralescu Jonathan R. Dillman N. Parikh Lili He 35 7 0 20 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images Wei-Chien Wang Euijoon Ahn Da-wei Feng Jinman Kim MedIm 27 27 0 10 Feb 2023
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering D. M. Nguyen Hoangvu Nguyen M. T. N. Truong T. Cao Binh Duc Nguyen Nhat Ho Paul Swoboda Shadi Albarqouni P. Xie Daniel Sonntag SSL 24 21 0 04 Dec 2022
Prompt Tuning for Parameter-efficient Medical Image Segmentation Marc Fischer Alexander Bartler Bin Yang SSeg 24 18 0 16 Nov 2022
SSiT: Saliency-guided Self-supervised Image Transformer for Diabetic Retinopathy Grading Yijin Huang Junyan Lyu Pujin Cheng Roger Tam Xiaoying Tang ViT MedIm 19 20 0 20 Oct 2022
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound Zeyu Fu Jianbo Jiao R. Yasrab L. Drukker A. Papageorghiou J. A. Noble 21 15 0 22 Aug 2022
Masked Image Modeling Advances 3D Medical Image Analysis Zekai Chen Devansh Agarwal Kshitij Aggarwal Wiem Safta Samit Hirawat V. Sethuraman Mariann Micsinai Balan Kevin Brown 33 69 0 25 Apr 2022
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis F. Haghighi M. Taher Michael B. Gotway Jianming Liang MedIm 19 72 0 21 Apr 2022
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma Chu Han Xipeng Pan Lixu Yan Huan Lin Bingbing Li ... Chengda Lu Xin Chen C. Liang Qingling Zhang Zaiyi Liu 33 28 0 13 Apr 2022
Self-distillation Augmented Masked Autoencoders for Histopathological Image Classification Yang Luo Zhineng Chen Shengtian Zhou Xieping Gao 31 1 0 31 Mar 2022
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation Zhe Xu Yixin Wang Donghuan Lu Lequan Yu Jiangpeng Yan Jie Luo Kai Ma Yefeng Zheng R. Tong 35 55 0 28 Sep 2021
Self-supervised learning methods and applications in medical imaging analysis: A survey Saeed Shurrab R. Duwairi OOD 37 176 0 17 Sep 2021
Self-supervised Tumor Segmentation through Layer Decomposition Xiaoman Zhang Weidi Xie Chaoqin Huang Yanfeng Wang Ya Zhang Xin Chen Qi Tian 29 5 0 07 Sep 2021
How Transferable Are Self-supervised Features in Medical Image Classification Tasks? T. Truong Sadegh Mohammadi Matthias Lenga 42 45 0 23 Aug 2021
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
MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions Penghua Zhai Huaiwei Cong Gangming Zhao Chaowei Fang Jinpeng Li Ting Cai Huiguang He 27 10 0 17 Aug 2021
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation Euijoon Ahn D. Feng Jinman Kim 28 26 0 11 Jul 2021
Hierarchical Self-Supervised Learning for Medical Image Segmentation Based on Multi-Domain Data Aggregation Hao Zheng Jun Han Hongxiao Wang Lin Yang Zhuo Zhao Chaoli Wang Danny Chen 23 23 0 10 Jul 2021
Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification Benoit Dufumier Pietro Gori J. Victor Antoine Grigis M. Wessa ... P. Favre M. Polosan C. Mcdonald C. Piguet Edouard Duchesnay SSL 24 66 0 16 Jun 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 18 572 0 27 May 2021
Medical Transformer: Universal Brain Encoder for 3D MRI Analysis E. Jun Seungwoo Jeong Da-Woon Heo Heung-Il Suk ViT MedIm 40 42 0 28 Apr 2021
Self-supervised driven consistency training for annotation efficient histopathology image analysis C. Srinidhi Seung Wook Kim Fu-Der Chen Anne L. Martel SSL 21 109 0 07 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 27 504 0 13 Jan 2021
Aggregative Self-Supervised Feature Learning from a Limited Sample Jiuwen Zhu Yuexiang Li S. Kevin Zhou SSL 27 0 0 14 Dec 2020
MoCo-CXR: MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models Hari Sowrirajan Jingbo Yang A. Ng Pranav Rajpurkar 24 86 0 11 Oct 2020
Self-supervised Feature Learning via Exploiting Multi-modal Data for Retinal Disease Diagnosis Xiaomeng Li M. Jia Md Tauhidul Islam Lequan Yu Lei Xing 18 109 0 21 Jul 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 11 66 0 17 Jul 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 21 65 0 14 Jul 2020
Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report Generation Mingjie Li Fuyu Wang Xiaojun Chang Xiaodan Liang MedIm 29 101 0 06 Jun 2020
Boosting Self-Supervised Learning via Knowledge Transfer M. Noroozi Ananth Vinjimoor Paolo Favaro Hamed Pirsiavash SSL 212 292 0 01 May 2018