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 Yuille Zongwei Zhou MedIm 51 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 53 0 0 20 Jan 2025
Analyzing Tumors by Synthesis Qi Chen Yuxiang Lai Xiaoxi Chen Qixin Hu Alan Yuille Zongwei Zhou 33 3 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 34 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 Yuille Chaoyi Zhang Weidong Cai Zongwei Zhou 44 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 19 4 0 24 Oct 2023
Data efficient deep learning for medical image analysis: A survey Suruchi Kumari Pravendra Singh 45 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 18 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 31 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 20 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 21 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 30 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 29 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 37 59 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 28 45 0 09 Oct 2022
Dive into Self-Supervised Learning for Medical Image Analysis: Data, Models and Tasks Chuyan Zhang Yun Gu 35 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 39 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 21 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 24 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 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 29 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 15 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 27 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 35 11 0 05 Jan 2022
Self-supervised learning methods and applications in medical imaging analysis: A survey Saeed Shurrab R. Duwairi OOD 37 177 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 88 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 63 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 20 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 39 59 0 30 Jul 2021
UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation Taehun Kim Hyemin Lee Daijin Kim EgoV 27 251 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 19 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 24 317 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 34 106 0 21 Feb 2021
SAR: Scale-Aware Restoration Learning for 3D Tumor Segmentation Xiaoman Zhang Shixiang Feng Yuhang Zhou Ya Zhang Yanfeng Wang 16 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 33 990 0 13 Jan 2019