Transferable Visual Words: Exploiting the Semantics of Anatomical
Patterns for Self-supervised Learning

Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning

21 February 2021

Zongwei Zhou

Michael B. Gotway

Papers citing "Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning"

17 / 17 papers shown

Title
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images Yihang Liu Lianghua He Y. Wen Longzhen Yang Hongzhou Chen MedIm 34 0 0 15 Apr 2025
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
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement Cheng Li Weijian Huang Hao Yang Jiarun Liu Shanshan Wang MedIm 30 4 0 21 Jan 2024
vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-level Representations in Medical Images M. Goncharov Vera Soboleva Anvar Kurmukov Maxim Pisov Mikhail Belyaev SSL 13 10 0 27 Jul 2023
DrasCLR: A Self-supervised Framework of Learning Disease-related and Anatomy-specific Representation for 3D Medical Images K. Yu Li Sun Junxiang Chen Maxwell Reynolds Tigmanshu Chaudhary Kayhan Batmanghelich 17 1 0 21 Feb 2023
Advancing Radiograph Representation Learning with Masked Record Modeling Hong-Yu Zhou Chenyu Lian Lian-cheng Wang Yizhou Yu MedIm 36 55 0 30 Jan 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
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection Jie Liu Yixiao Zhang Jieneng Chen Junfei Xiao Yongyi Lu Bennett A. Landman Yixuan Yuan Alan Yuille Yucheng Tang Zongwei Zhou VLM MedIm 39 193 0 02 Jan 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 39 53 0 02 Jan 2023
Prompt Tuning for Parameter-efficient Medical Image Segmentation Marc Fischer Alexander Bartler Bin Yang SSeg 14 18 0 16 Nov 2022
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 31 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 30 58 0 23 Oct 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
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 22 517 0 29 Nov 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