Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise
Transformation for 3D Medical Image Segmentation

Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation

17 July 2020

Papers citing "Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation"

16 / 16 papers shown

Title
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? Wenxuan Li Alan L. Yuille Zongwei Zhou MedIm 49 8 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 57 4 0 24 Apr 2024
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain Amin Karimi Monsefi Payam Karisani Mengxi Zhou Stacey S. Choi Nathan Doble Heng Ji Srinivasan Parthasarathy R. Ramnath 43 5 0 09 Feb 2024
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
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis Hong-Yu Zhou Chi-Ken Lu Chaoqi Chen Sibei Yang Yizhou Yu 42 52 0 02 Jan 2023
Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images Yejia Zhang Nishchal Sapkota Pengfei Gu Yao Peng Hao Zheng Da Chen 39 5 0 16 Nov 2022
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification Junfei Xiao Yutong Bai Alan Yuille Zongwei Zhou MedIm ViT 37 59 0 23 Oct 2022
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet Nan Wang Shaohui Lin Xiaoxiao Li Ke Li Yunhang Shen Yue Gao Lizhuang Ma ViT MedIm 49 33 0 02 Jun 2022
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT) Jue Jiang N. Tyagi K. Tringale C. Crane Harini Veeraraghavan MedIm 36 34 0 20 May 2022
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis F. Haghighi M. Taher Michael B. Gotway Jianming Liang MedIm 21 72 0 21 Apr 2022
Self-supervised learning methods and applications in medical imaging analysis: A survey Saeed Shurrab R. Duwairi OOD 37 176 0 17 Sep 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
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 29 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
Boosting Self-Supervised Learning via Knowledge Transfer M. Noroozi Ananth Vinjimoor Paolo Favaro Hamed Pirsiavash SSL 212 292 0 01 May 2018