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Contrastive Learning of Medical Visual Representations from Paired
  Images and Text

Contrastive Learning of Medical Visual Representations from Paired Images and Text

2 October 2020
Yuhao Zhang
Hang Jiang
Yasuhide Miura
Christopher D. Manning
C. Langlotz
    MedIm
ArXivPDFHTML

Papers citing "Contrastive Learning of Medical Visual Representations from Paired Images and Text"

50 / 445 papers shown
Title
Three Towers: Flexible Contrastive Learning with Pretrained Image Models
Three Towers: Flexible Contrastive Learning with Pretrained Image Models
Jannik Kossen
Mark Collier
Basil Mustafa
Tianlin Li
Xiaohua Zhai
Lucas Beyer
Andreas Steiner
Jesse Berent
Rodolphe Jenatton
Efi Kokiopoulou
VLM
45
11
0
26 May 2023
Text-to-Motion Retrieval: Towards Joint Understanding of Human Motion
  Data and Natural Language
Text-to-Motion Retrieval: Towards Joint Understanding of Human Motion Data and Natural Language
Nicola Messina
J. Sedmidubský
Fabrizio Falchi
Tomávs Rebok
EGVM
34
10
0
25 May 2023
T2TD: Text-3D Generation Model based on Prior Knowledge Guidance
T2TD: Text-3D Generation Model based on Prior Knowledge Guidance
Weizhi Nie
Ruidong Chen
Weijie Wang
Bruno Lepri
N. Sebe
35
4
0
25 May 2023
Clinically Labeled Contrastive Learning for OCT Biomarker Classification
Clinically Labeled Contrastive Learning for OCT Biomarker Classification
Kiran Kokilepersaud
Stephanie Trejo Corona
Mohit Prabhushankar
Ghassan Al-Regib
C. Wykoff
23
13
0
24 May 2023
Meta-learning For Vision-and-language Cross-lingual Transfer
Meta-learning For Vision-and-language Cross-lingual Transfer
Hanxu Hu
Frank Keller
VLM
31
1
0
24 May 2023
S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist
  Captions
S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions
Sangwoo Mo
Minkyu Kim
Kyungmin Lee
Jinwoo Shin
VLM
CLIP
44
21
0
23 May 2023
Connecting Multi-modal Contrastive Representations
Connecting Multi-modal Contrastive Representations
Zehan Wang
Yang Zhao
Xize Cheng
Haifeng Huang
Jiageng Liu
...
Lin Li
Yongqiang Wang
Aoxiong Yin
Ziang Zhang
Zhou Zhao
30
22
0
22 May 2023
Not All Semantics are Created Equal: Contrastive Self-supervised
  Learning with Automatic Temperature Individualization
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization
Zimeng Qiu
Quanqi Hu
Zhuoning Yuan
Denny Zhou
Lijun Zhang
Tianbao Yang
34
17
0
19 May 2023
How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer
  to Novel Tasks and Healthcare Systems
How to Train Your CheXDragon: Training Chest X-Ray Models for Transfer to Novel Tasks and Healthcare Systems
Cara Van Uden
Jeremy Irvin
Mars Huang
N. Dean
J. Carr
A. Ng
C. Langlotz
OOD
32
1
0
13 May 2023
Multi-task Paired Masking with Alignment Modeling for Medical
  Vision-Language Pre-training
Multi-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-training
Kecheng Zhang
Jing Zhang
Jun Yu
Han Jiang
Jianping Fan
Qing-An Huang
Weidong Han
MedIm
38
29
0
13 May 2023
An Inverse Scaling Law for CLIP Training
An Inverse Scaling Law for CLIP Training
Xianhang Li
Zeyu Wang
Cihang Xie
VLM
CLIP
48
55
0
11 May 2023
CSP: Self-Supervised Contrastive Spatial Pre-Training for
  Geospatial-Visual Representations
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations
Gengchen Mai
Ni Lao
Yutong He
Jiaming Song
Stefano Ermon
86
58
0
01 May 2023
Molecule-Morphology Contrastive Pretraining for Transferable Molecular
  Representation
Molecule-Morphology Contrastive Pretraining for Transferable Molecular Representation
Cuong Q. Nguyen
Dante A. Pertusi
K. Branson
AI4CE
16
12
0
27 Apr 2023
Sample-Specific Debiasing for Better Image-Text Models
Sample-Specific Debiasing for Better Image-Text Models
Peiqi Wang
Yingcheng Liu
Ching-Yun Ko
W. Wells
Seth Berkowitz
Steven Horng
Polina Golland
SSL
MedIm
22
1
0
25 Apr 2023
Is Cross-modal Information Retrieval Possible without Training?
Is Cross-modal Information Retrieval Possible without Training?
Hyunjin Choi
HyunJae Lee
Seongho Joe
Youngjune Gwon
17
0
0
20 Apr 2023
Multimodal Representation Learning of Cardiovascular Magnetic Resonance
  Imaging
Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging
Jielin Qiu
Peide Huang
Makiya Nakashima
Jae-Hyeok Lee
Jiacheng Zhu
...
Byung-Hak Kim
Debbie Kwon
Douglas Weber
Ding Zhao
David Chen
SSL
27
5
0
16 Apr 2023
MvCo-DoT:Multi-View Contrastive Domain Transfer Network for Medical
  Report Generation
MvCo-DoT:Multi-View Contrastive Domain Transfer Network for Medical Report Generation
Ruizhi Wang
Xiang-Fei Wang
Zhenghua Xu
Wenting Xu
Junyang Chen
Thomas Lukasiewicz
21
5
0
15 Apr 2023
CamDiff: Camouflage Image Augmentation via Diffusion Model
CamDiff: Camouflage Image Augmentation via Diffusion Model
Xuejiao Luo
Shuo Wang
Zongwei Wu
Daniel Gehrig
Yun Cheng
Deng-Ping Fan
Luc Van Gool
DiffM
36
19
0
11 Apr 2023
ELVIS: Empowering Locality of Vision Language Pre-training with
  Intra-modal Similarity
ELVIS: Empowering Locality of Vision Language Pre-training with Intra-modal Similarity
Sumin Seo
Jaewoong Shin
Jaewoo Kang
Tae Soo Kim
Thijs Kooi
32
1
0
11 Apr 2023
CAVL: Learning Contrastive and Adaptive Representations of Vision and
  Language
CAVL: Learning Contrastive and Adaptive Representations of Vision and Language
Shentong Mo
Jingfei Xia
Ihor Markevych
CLIP
VLM
16
1
0
10 Apr 2023
AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia
  Content Creation
AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation
Jheng-Hong Yang
Carlos Lassance
Rafael Sampaio de Rezende
Krishna Srinivasan
Miriam Redi
S. Clinchant
Jimmy J. Lin
42
12
0
04 Apr 2023
SPAN: Learning Similarity between Scene Graphs and Images with
  Transformers
SPAN: Learning Similarity between Scene Graphs and Images with Transformers
Yuren Cong
Wentong Liao
Bodo Rosenhahn
M. Yang
35
6
0
02 Apr 2023
Self-Supervised Multimodal Learning: A Survey
Self-Supervised Multimodal Learning: A Survey
Yongshuo Zong
Oisin Mac Aodha
Timothy M. Hospedales
SSL
24
43
0
31 Mar 2023
Trade-offs in Fine-tuned Diffusion Models Between Accuracy and
  Interpretability
Trade-offs in Fine-tuned Diffusion Models Between Accuracy and Interpretability
Mischa Dombrowski
Hadrien Reynaud
Johanna P. Müller
Matthew Baugh
Bernhard Kainz
MedIm
24
6
0
31 Mar 2023
Vision-Language Modelling For Radiological Imaging and Reports In The
  Low Data Regime
Vision-Language Modelling For Radiological Imaging and Reports In The Low Data Regime
Rhydian Windsor
A. Jamaludin
T. Kadir
Andrew Zisserman
VLM
27
11
0
30 Mar 2023
Sigmoid Loss for Language Image Pre-Training
Sigmoid Loss for Language Image Pre-Training
Xiaohua Zhai
Basil Mustafa
Alexander Kolesnikov
Lucas Beyer
CLIP
VLM
36
960
0
27 Mar 2023
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
Jongheon Jeong
Yang Zou
Taewan Kim
Dongqing Zhang
Avinash Ravichandran
O. Dabeer
VLM
75
186
0
26 Mar 2023
Local Contrastive Learning for Medical Image Recognition
Local Contrastive Learning for Medical Image Recognition
S. A. Rizvi
Ruixiang Tang
X. Jiang
X. Ma
X. Hu
33
6
0
24 Mar 2023
Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis
Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis
Chantal Pellegrini
Matthias Keicher
Ege Özsoy
Petra Jirásková
R. Braren
Nassir Navab
MedIm
15
20
0
23 Mar 2023
MEDIMP: 3D Medical Images with clinical Prompts from limited tabular
  data for renal transplantation
MEDIMP: 3D Medical Images with clinical Prompts from limited tabular data for renal transplantation
Léo Milecki
Vicky Kalogeiton
Sylvain Bodard
D. Anglicheau
J. Correas
M. Timsit
Maria Vakalopoulou
MedIm
22
4
0
22 Mar 2023
cTBLS: Augmenting Large Language Models with Conversational Tables
cTBLS: Augmenting Large Language Models with Conversational Tables
Anirudh S. Sundar
Larry Heck
LMTD
23
7
0
21 Mar 2023
CLIP-ReIdent: Contrastive Training for Player Re-Identification
CLIP-ReIdent: Contrastive Training for Player Re-Identification
Konrad Habel
Fabian Deuser
Norbert Oswald
11
9
0
21 Mar 2023
LIMITR: Leveraging Local Information for Medical Image-Text
  Representation
LIMITR: Leveraging Local Information for Medical Image-Text Representation
Gefen Dawidowicz
Elad Hirsch
A. Tal
31
15
0
21 Mar 2023
Large AI Models in Health Informatics: Applications, Challenges, and the
  Future
Large AI Models in Health Informatics: Applications, Challenges, and the Future
Jianing Qiu
Lin Li
Jiankai Sun
Jiachuan Peng
Peilun Shi
...
Bo Xiao
Wu Yuan
Ningli Wang
Dong Xu
Benny Lo
AI4MH
LM&MA
42
127
0
21 Mar 2023
MXM-CLR: A Unified Framework for Contrastive Learning of Multifold
  Cross-Modal Representations
MXM-CLR: A Unified Framework for Contrastive Learning of Multifold Cross-Modal Representations
Ye Wang
Bo‐Shu Jiang
C. Zou
Rui Ma
32
5
0
20 Mar 2023
Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report
  Generation
Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generation
Mingjie Li
Bingqian Lin
Zicong Chen
Haokun Lin
Xiaodan Liang
Xiaojun Chang
MedIm
25
108
0
18 Mar 2023
Identifiability Results for Multimodal Contrastive Learning
Identifiability Results for Multimodal Contrastive Learning
Imant Daunhawer
Alice Bizeul
Emanuele Palumbo
Alexander Marx
Julia E. Vogt
37
38
0
16 Mar 2023
Understanding and Constructing Latent Modality Structures in Multi-modal
  Representation Learning
Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning
Qian Jiang
Changyou Chen
Han Zhao
Liqun Chen
Q. Ping
S. D. Tran
Yi Xu
Belinda Zeng
Trishul Chilimbi
49
39
0
10 Mar 2023
Enhancing Activity Prediction Models in Drug Discovery with the Ability
  to Understand Human Language
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language
Philipp Seidl
Andreu Vall
Sepp Hochreiter
G. Klambauer
65
37
0
06 Mar 2023
ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of
  Pneumothorax
ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax
Zachary Huemann
Xin Tie
Junjie Hu
Tyler Bradshaw
17
14
0
02 Mar 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
44
121
0
27 Feb 2023
Knowledge-infused Contrastive Learning for Urban Imagery-based
  Socioeconomic Prediction
Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction
Yu Liu
Xin Zhang
Jingtao Ding
Yanxin Xi
Yong Li
19
34
0
25 Feb 2023
Test-Time Distribution Normalization for Contrastively Learned
  Vision-language Models
Test-Time Distribution Normalization for Contrastively Learned Vision-language Models
Yi Zhou
Juntao Ren
Fengyu Li
Ramin Zabih
Ser-Nam Lim
VLM
34
14
0
22 Feb 2023
Towards Unifying Medical Vision-and-Language Pre-training via Soft
  Prompts
Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts
Zhihong Chen
Shizhe Diao
Benyou Wang
Guanbin Li
Xiang Wan
MedIm
25
29
0
17 Feb 2023
Multi-modal Machine Learning in Engineering Design: A Review and Future
  Directions
Multi-modal Machine Learning in Engineering Design: A Review and Future Directions
Binyang Song
Ruilin Zhou
Faez Ahmed
AI4CE
37
40
0
14 Feb 2023
NYCU-TWO at Memotion 3: Good Foundation, Good Teacher, then you have
  Good Meme Analysis
NYCU-TWO at Memotion 3: Good Foundation, Good Teacher, then you have Good Meme Analysis
Yu-Chien Tang
Kuang-Da Wang
Ting-Yun Ou
Wenjie Peng
14
2
0
13 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for
  Medical Images
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Wei-Chien Wang
Euijoon Ahn
Da-wei Feng
Jinman Kim
MedIm
27
27
0
10 Feb 2023
Diagnosing and Rectifying Vision Models using Language
Diagnosing and Rectifying Vision Models using Language
Yuhui Zhang
Jeff Z. HaoChen
Shih-Cheng Huang
Kuan-Chieh Jackson Wang
James Zou
Serena Yeung
37
45
0
08 Feb 2023
Effective Robustness against Natural Distribution Shifts for Models with
  Different Training Data
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
Zhouxing Shi
Nicholas Carlini
Ananth Balashankar
Ludwig Schmidt
Cho-Jui Hsieh
Alex Beutel
Yao Qin
OOD
23
9
0
02 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
38
55
0
30 Jan 2023
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