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Generalized Radiograph Representation Learning via Cross-supervision
  between Images and Free-text Radiology Reports

Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports

4 November 2021
Hong-Yu Zhou
X. Chen
Y. Zhang
R. Luo
L. Wang
Y. Yu
    MedIm
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Papers citing "Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology Reports"

15 / 15 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
36
0
0
14 May 2025
A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?
A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?
Julio Silva-Rodríguez
Jose Dolz
Ismail ben Ayed
VLM
MedIm
46
0
0
07 Apr 2025
MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations
MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations
Ziyang Zhang
Yang Yu
Yucheng Chen
Xulei Yang
S. Yeo
MedIm
58
1
0
02 Mar 2025
Progressive Local Alignment for Medical Multimodal Pre-training
Progressive Local Alignment for Medical Multimodal Pre-training
Huimin Yan
Xian Yang
Liang Bai
Jiye Liang
74
0
0
25 Feb 2025
Unlocking the Power of Spatial and Temporal Information in Medical
  Multimodal Pre-training
Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training
Jinxia Yang
Fuchun Sun
Wayne Xin Zhao
Ji-Rong Wen
40
3
0
30 May 2024
Enhancing the vision-language foundation model with key semantic
  knowledge-emphasized report refinement
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement
Cheng Li
Weijian Huang
Hao Yang
Jiarun Liu
Shanshan Wang
MedIm
47
4
0
21 Jan 2024
UniDCP: Unifying Multiple Medical Vision-language Tasks via Dynamic
  Cross-modal Learnable Prompts
UniDCP: Unifying Multiple Medical Vision-language Tasks via Dynamic Cross-modal Learnable Prompts
Chenlu Zhan
Yufei Zhang
Yu Lin
Gaoang Wang
Hongwei Wang
VLM
MedIm
45
5
0
18 Dec 2023
Is attention all you need in medical image analysis? A review
Is attention all you need in medical image analysis? A review
G. Papanastasiou
Nikolaos Dikaios
Jiahao Huang
Chengjia Wang
Guang Yang
ViT
MedIm
27
23
0
24 Jul 2023
A Transformer-based representation-learning model with unified
  processing of multimodal input for clinical diagnostics
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
Hong-Yu Zhou
Yizhou Yu
Chengdi Wang
Shu Zhen Zhang
Yuanxu Gao
Jia Pan
Jun Shao
Guangming Lu
Kang Zhang
Weimin Li
MedIm
27
150
0
01 Jun 2023
Knowledge-enhanced Visual-Language Pre-training on Chest Radiology
  Images
Knowledge-enhanced Visual-Language Pre-training on Chest Radiology Images
Xiaoman Zhang
Chaoyi Wu
Ya Zhang
Yanfeng Wang
Weidi Xie
MedIm
49
121
0
27 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
40
55
0
30 Jan 2023
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual
  Representation Learning
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
Fuying Wang
Yuyin Zhou
Shujun Wang
V. Vardhanabhuti
Lequan Yu
34
137
0
12 Oct 2022
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
29
74
0
27 Sep 2022
Centrality and Consistency: Two-Stage Clean Samples Identification for
  Learning with Instance-Dependent Noisy Labels
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels
Ganlong Zhao
Guanbin Li
Yipeng Qin
Feng Liu
Yizhou Yu
NoLa
33
22
0
29 Jul 2022
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
29
308
0
07 Sep 2021
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