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PCRLv2: A Unified Visual Information Preservation Framework for
  Self-supervised Pre-training in Medical Image Analysis

PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis

2 January 2023
Hong-Yu Zhou
Chi-Ken Lu
Chaoqi Chen
Sibei Yang
Yizhou Yu
ArXivPDFHTML

Papers citing "PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis"

35 / 35 papers shown
Title
BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis
BioVFM-21M: Benchmarking and Scaling Self-Supervised Vision Foundation Models for Biomedical Image Analysis
Jiarun Liu
Hong-Yu Zhou
Weijian Huang
Hao Yang
Dongning Song
Tao Tan
Yong Liang
Shanshan Wang
MedIm
23
0
0
14 May 2025
MedCL: Learning Consistent Anatomy Distribution for Scribble-supervised Medical Image Segmentation
MedCL: Learning Consistent Anatomy Distribution for Scribble-supervised Medical Image Segmentation
Ke Zhang
Vishal M. Patel
46
0
0
28 Mar 2025
Foundation Model for Whole-Heart Segmentation: Leveraging Student-Teacher Learning in Multi-Modal Medical Imaging
Foundation Model for Whole-Heart Segmentation: Leveraging Student-Teacher Learning in Multi-Modal Medical Imaging
Abdul Qayyum
Moona Mazher
Devran Ugurlu
J. Solís-Lemus
C. Rodero
Steven A Niederer
40
0
0
24 Mar 2025
Semi-KAN: KAN Provides an Effective Representation for Semi-Supervised Learning in Medical Image Segmentation
Semi-KAN: KAN Provides an Effective Representation for Semi-Supervised Learning in Medical Image Segmentation
Zanting Ye
Xiaolong Niu
Xuanbin Wu
Wenxiang Yi
Yuan Chang
Lijun Lu
43
0
0
19 Mar 2025
Learning 3D Medical Image Models From Brain Functional Connectivity Network Supervision For Mental Disorder Diagnosis
Xingcan Hu
Wei Wang
Li Xiao
38
0
0
06 Mar 2025
GUESS: Generative Uncertainty Ensemble for Self Supervision
GUESS: Generative Uncertainty Ensemble for Self Supervision
S. Mohamadi
Gianfranco Doretto
Donald Adjeroh
UQCV
67
0
0
03 Dec 2024
Medical Multimodal Foundation Models in Clinical Diagnosis and
  Treatment: Applications, Challenges, and Future Directions
Medical Multimodal Foundation Models in Clinical Diagnosis and Treatment: Applications, Challenges, and Future Directions
Kai Sun
Siyan Xue
F. Sun
Haoran Sun
Yu-Juan Luo
...
Xinzhou Wang
Lei Yang
Shuo Jin
Jun Yan
Jiahong Dong
AI4CE
74
2
0
03 Dec 2024
Multi-modal Vision Pre-training for Medical Image Analysis
Multi-modal Vision Pre-training for Medical Image Analysis
Shaohao Rui
Lingzhi Chen
Zhenyu Tang
Lilong Wang
M. Liu
S. Zhang
Xiaosong Wang
32
0
0
14 Oct 2024
Large-Scale 3D Medical Image Pre-training with Geometric Context Priors
Large-Scale 3D Medical Image Pre-training with Geometric Context Priors
Linshan Wu
Jiaxin Zhuang
Hao Chen
39
5
0
13 Oct 2024
MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven
  Universal Model
MedUniSeg: 2D and 3D Medical Image Segmentation via a Prompt-driven Universal Model
Yiwen Ye
Ziyang Chen
Jianpeng Zhang
Yutong Xie
Yong Xia
MedIm
39
3
0
08 Oct 2024
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models
Haolin Li
Yuhang Zhou
Ziheng Zhao
Siyuan Du
Jiangchao Yao
Weidi Xie
Ya Zhang
Yanfeng Wang
31
1
0
29 Sep 2024
CoBooM: Codebook Guided Bootstrapping for Medical Image Representation
  Learning
CoBooM: Codebook Guided Bootstrapping for Medical Image Representation Learning
Azad Singh
Deepak Mishra
SSL
42
1
0
08 Aug 2024
Self-supervised learning improves robustness of deep learning lung tumor
  segmentation to CT imaging differences
Self-supervised learning improves robustness of deep learning lung tumor segmentation to CT imaging differences
Jue Jiang
Aneesh Rangnekar
H. Veeraraghavan
OOD
35
0
0
14 May 2024
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis
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
49
4
0
24 Apr 2024
MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray
  Self-Supervised Representation Learning
MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray Self-Supervised Representation Learning
Azad Singh
Vandan Gorade
Deepak Mishra
SSL
30
2
0
18 Mar 2024
MLIP: Medical Language-Image Pre-training with Masked Local
  Representation Learning
MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning
Jiarun Liu
Hong-Yu Zhou
Cheng Li
Weijian Huang
Hao Yang
Yong Liang
Shanshan Wang
VLM
48
4
0
03 Jan 2024
Enhancing Representation in Medical Vision-Language Foundation Models
  via Multi-Scale Information Extraction Techniques
Enhancing Representation in Medical Vision-Language Foundation Models via Multi-Scale Information Extraction Techniques
Weijian Huang
Cheng Li
Hong-Yu Zhou
Jiarun Liu
Hao Yang
Yong Liang
Guangming Shi
Hairong Zheng
Shanshan Wang
27
2
0
03 Jan 2024
Multimodal self-supervised learning for lesion localization
Multimodal self-supervised learning for lesion localization
Hao Yang
Hong-Yu Zhou
Cheng Li
Weijian Huang
Jiarun Liu
Yong Liang
Shanshan Wang
SSL
32
3
0
03 Jan 2024
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and
  Self-Prompting
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting
Yankai Jiang
Zhongzhen Huang
Rongzhao Zhang
Xiaofan Zhang
Shaoting Zhang
VLM
29
10
0
07 Dec 2023
Continual Self-supervised Learning: Towards Universal Multi-modal
  Medical Data Representation Learning
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning
Yiwen Ye
Yutong Xie
Jianpeng Zhang
Ziyang Chen
Qi Wu
Yong-quan Xia
CLL
34
14
0
29 Nov 2023
Data efficient deep learning for medical image analysis: A survey
Data efficient deep learning for medical image analysis: A survey
Suruchi Kumari
Pravendra Singh
32
12
0
10 Oct 2023
Enhancing Representation in Radiography-Reports Foundation Model: A
  Granular Alignment Algorithm Using Masked Contrastive Learning
Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning
Weijian Huang
Cheng Li
Hao Yang
Jiarun Liu
Shanshan Wang
MedIm
26
20
0
12 Sep 2023
Learning Multiscale Consistency for Self-supervised Electron Microscopy
  Instance Segmentation
Learning Multiscale Consistency for Self-supervised Electron Microscopy Instance Segmentation
Yinda Chen
Wei Huang
Xiaoyu Liu
Shiyu Deng
Qi Chen
Zhiwei Xiong
40
20
0
19 Aug 2023
Advancing Volumetric Medical Image Segmentation via Global-Local Masked
  Autoencoder
Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder
Jiafan Zhuang
Luyang Luo
Hao Chen
20
11
0
15 Jun 2023
Generative Text-Guided 3D Vision-Language Pretraining for Unified
  Medical Image Segmentation
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation
Yinda Chen
Che Liu
Wei Huang
Sibo Cheng
Rossella Arcucci
Zhiwei Xiong
VLM
MedIm
24
48
0
07 Jun 2023
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image
  Segmentation
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation
Wenxuan Wang
Jing Wang
C. L. P. Chen
Jianbo Jiao
Yuanxiu Cai
Shanshan Song
Jiangyun Li
MedIm
23
18
0
21 Apr 2023
Anatomical Invariance Modeling and Semantic Alignment for
  Self-supervised Learning in 3D Medical Image Analysis
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis
Yankai Jiang
Ming Sun
Heng Guo
Xiaoyu Bai
K. Yan
Le Lu
Minfeng Xu
MedIm
29
20
0
11 Feb 2023
Advancing Radiograph Representation Learning with Masked Record Modeling
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
A Survey on Graph Neural Networks and Graph Transformers in Computer
  Vision: A Task-Oriented Perspective
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective
Chaoqi Chen
Yushuang Wu
Qiyuan Dai
Hong-Yu Zhou
Mutian Xu
Sibei Yang
Xiaoguang Han
Yizhou Yu
ViT
MedIm
AI4CE
27
73
0
27 Sep 2022
Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest
  Radiographs
Anatomy-aware Self-supervised Learning for Anomaly Detection in Chest Radiographs
Junya Sato
Yuki Suzuki
T. Wataya
Daiki Nishigaki
Kosuke Kita
Kazuki Yamagata
Noriyuki Tomiyama
Shoji Kido
15
14
0
09 May 2022
Preservational Learning Improves Self-supervised Medical Image Models by
  Reconstructing Diverse Contexts
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
nnFormer: Interleaved Transformer for Volumetric Segmentation
nnFormer: Interleaved Transformer for Volumetric Segmentation
Hong-Yu Zhou
J. Guo
Yinghao Zhang
Lequan Yu
Liansheng Wang
Yizhou Yu
ViT
MedIm
24
306
0
07 Sep 2021
Bootstrap Representation Learning for Segmentation on Medical Volumes
  and Sequences
Bootstrap Representation Learning for Segmentation on Medical Volumes and Sequences
Zejian Chen
Wei Zhuo
Tianfu Wang
Wufeng Xue
Dong Ni
19
5
0
23 Jun 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
252
3,369
0
09 Mar 2020
TorchIO: A Python library for efficient loading, preprocessing,
  augmentation and patch-based sampling of medical images in deep learning
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Fernando Pérez-García
Rachel Sparks
Sébastien Ourselin
MedIm
LM&MA
135
426
0
09 Mar 2020
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