Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration

14 July 2020

Zongwei Zhou

Papers citing "Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration"

36 / 36 papers shown

Title
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks? Wenxuan Li Alan L. Yuille Zongwei Zhou MedIm 41 8 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 47 0 0 20 Jan 2025
Analyzing Tumors by Synthesis Qi Chen Yuxiang Lai Xiaoxi Chen Qixin Hu Alan Yuille Zongwei Zhou 33 2 0 09 Sep 2024
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 26 5 0 24 Apr 2024
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images Tiange Xiang Yixiao Zhang Yongyi Lu Alan L. Yuille Chaoyi Zhang Weidong Cai Zongwei Zhou 31 3 0 13 Mar 2024
PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network Yuxin Xue Lei Bi Yige Peng M. Fulham David Dagan Feng Jinman Kim MedIm 17 4 0 24 Oct 2023
Data efficient deep learning for medical image analysis: A survey Suruchi Kumari Pravendra Singh 32 12 0 10 Oct 2023
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images Blake Vanberlo Jesse Hoey Alexander Wong SSL LM&MA 16 2 0 05 Sep 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images Wenhui Lei Xu Wei Xiaofan Zhang Kang Li Shaoting Zhang MedIm 18 3 0 26 Jun 2023
Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training Yuting He Guanyu Yang Rongjun Ge Yang Chen J. Coatrieux Boyu Wang Shuo Li SSL 13 35 0 02 Mar 2023
Self-supervised Learning for Segmentation and Quantification of Dopamine Neurons in Parkinson's Disease F. Haghighi Soumitra Ghosh Hai Ngu Sarah Chu Han Lin Mohsen Hejrati Baris Bingol Somaye Hashemifar 13 2 0 11 Jan 2023
Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation Yejia Zhang Xinrong Hu Nishchal Sapkota Yiyu Shi Da Chen SSL 17 3 0 15 Nov 2022
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works Chao Tao Ji Qi Mingning Guo Qing Zhu Haifeng Li SSL 19 56 0 15 Nov 2022
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification Junfei Xiao Yutong Bai Alan Yuille Zongwei Zhou MedIm ViT 30 58 0 23 Oct 2022
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images Yu Cai Hao Chen Xin Yang Yu Zhou Kwang-Ting Cheng 20 45 0 09 Oct 2022
Dive into Self-Supervised Learning for Medical Image Analysis: Data, Models and Tasks Chuyan Zhang Yun Gu 27 0 0 25 Sep 2022
Consecutive Knowledge Meta-Adaptation Learning for Unsupervised Medical Diagnosis Yumin Zhang Yawen Hou Xiuyi Chen Hongyuan Yu Long Xia CLL OOD 23 3 0 21 Sep 2022
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound Zeyu Fu Jianbo Jiao R. Yasrab L. Drukker A. Papageorghiou J. A. Noble 12 15 0 22 Aug 2022
Transfer Learning for Segmentation Problems: Choose the Right Encoder and Skip the Decoder Jonas Dippel Matthias Lenga Thomas Goerttler Klaus Obermayer Johannes Höhne SSL 8 2 0 29 Jul 2022
Self-supervised 3D anatomy segmentation using self-distilled masked image transformer (SMIT) Jue Jiang N. Tyagi K. Tringale C. Crane H. Veeraraghavan MedIm 25 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 16 72 0 21 Apr 2022
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging M. Taher F. Haghighi Michael B. Gotway Jianming Liang OOD SSL 11 31 0 15 Apr 2022
A Coarse-to-fine Morphological Approach With Knowledge-based Rules and Self-adapting Correction for Lung Nodules Segmentation Xin Fu Jiayin Zheng Juanyun Mai Yanbo Shao Ming-hui Wang ... Yang Yang Xi Qiu Jinsheng Tao Bo Wang Hua Ji 19 1 0 07 Feb 2022
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training Shu Zhen Zhang Zihao Li Hong-Yu Zhou Jiechao Ma Yizhou Yu 27 11 0 05 Jan 2022
Self-supervised learning methods and applications in medical imaging analysis: A survey Saeed Shurrab R. Duwairi OOD 32 175 0 17 Sep 2021
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection N. Islam S. Gehlot Zongwei Zhou Michael B. Gotway Jianming Liang OOD 77 11 0 15 Sep 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 61 85 0 09 Sep 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 18 7 0 21 Aug 2021
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis M. Taher F. Haghighi Ruibin Feng Michael B. Gotway Jianming Liang 23 67 0 12 Aug 2021
OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild Trung-Nghia Le H. Nguyen Junichi Yamagishi Isao Echizen AAML 29 59 0 30 Jul 2021
UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation Taehun Kim Hyemin Lee Daijin Kim EgoV 22 251 0 06 Jul 2021
A Location-Sensitive Local Prototype Network for Few-Shot Medical Image Segmentation Qinji Yu K. Dang Nima Tajbakhsh Demetri Terzopoulos Xiaowei Ding SSeg 14 48 0 18 Mar 2021
Deep Learning for Chest X-ray Analysis: A Survey Ecem Sogancioglu E. Çallı Bram van Ginneken K. G. V. Leeuwen K. Murphy LM&MA 13 313 0 15 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 20 107 0 21 Feb 2021
SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation Xiaoman Zhang Shixiang Feng Yuhang Zhou Ya-Qin Zhang Yanfeng Wang 11 17 0 13 Oct 2020
The Liver Tumor Segmentation Benchmark (LiTS) Patrick Bilic P. Christ Hongwei Bran Li Eugene Vorontsov Avi Ben-Cohen ... L. Soler Bram van Ginneken H. Greenspan Leo Joskowicz Bjoern H. Menze 22 990 0 13 Jan 2019