Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1901.07031
Cited By
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
21 January 2019
Jeremy Irvin
Pranav Rajpurkar
M. Ko
Yifan Yu
Silviana Ciurea-Ilcus
Chris Chute
Henrik Marklund
Behzad Haghgoo
Robyn L. Ball
K. Shpanskaya
J. Seekins
D. Mong
S. Halabi
J. Sandberg
Ricky Jones
D. Larson
C. Langlotz
Bhavik Patel
M. Lungren
A. Ng
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison"
50 / 1,131 papers shown
Title
Less Could Be Better: Parameter-efficient Fine-tuning Advances Medical Vision Foundation Models
Chenyu Lian
Hong-Yu Zhou
Yizhou Yu
Liansheng Wang
MedIm
97
10
0
22 Jan 2024
CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation
Zhihong Chen
Maya Varma
Jean-Benoit Delbrouck
Magdalini Paschali
Louis Blankemeier
...
Cameron Olsen
Tanishq Mathew Abraham
S. Gatidis
Akshay S. Chaudhari
Curtis P. Langlotz
MedIm
LM&MA
61
38
0
22 Jan 2024
Generative AI-Driven Human Digital Twin in IoT-Healthcare: A Comprehensive Survey
Jiayuan Chen
You Shi
Changyan Yi
Hongyang Du
Jiawen Kang
Dusit Niyato
69
29
0
22 Jan 2024
CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labeling
Jawook Gu
Hankyu Cho
Jiho Kim
Kihyun You
Eun K. Hong
Byungseok Roh
89
6
0
21 Jan 2024
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement
Cheng Li
Weijian Huang
Hao Yang
Jiarun Liu
Shanshan Wang
MedIm
90
4
0
21 Jan 2024
Enhancing medical vision-language contrastive learning via inter-matching relation modelling
Mingjian Li
Mingyuan Meng
M. Fulham
David Dagan Feng
Lei Bi
Jinman Kim
VLM
144
1
0
19 Jan 2024
Exploring scalable medical image encoders beyond text supervision
Fernando Pérez-García
Harshita Sharma
Sam Bond-Taylor
Kenza Bouzid
Valentina Salvatelli
...
Maria T. A. Wetscherek
Noel C. F. Codella
Stephanie L. Hyland
Javier Alvarez-Valle
Ozan Oktay
LM&MA
MedIm
139
9
0
19 Jan 2024
The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
Nicholas Konz
Maciej A. Mazurowski
76
7
0
16 Jan 2024
Faster ISNet for Background Bias Mitigation on Deep Neural Networks
P. R. Bassi
S. Decherchi
Andrea Cavalli
108
0
0
16 Jan 2024
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?
Bidur Khanal
Binod Bhattarai
Bishesh Khanal
Cristian A. Linte
NoLa
50
1
0
15 Jan 2024
Low-Resource Vision Challenges for Foundation Models
Yunhua Zhang
Hazel Doughty
Cees G. M. Snoek
VLM
94
7
0
09 Jan 2024
Effects of Multimodal Explanations for Autonomous Driving on Driving Performance, Cognitive Load, Expertise, Confidence, and Trust
Robert Kaufman
Jean Costa
Everlyne Kimani
97
8
0
08 Jan 2024
Nodule detection and generation on chest X-rays: NODE21 Challenge
Ecem Sogancioglu
Bram van Ginneken
F. Behrendt
M. Bengs
Alexander Schlaefer
...
N. Hendrix
Colin Jacobs
Ward Hendrix
Clara I. Sánchez
K. Murphy
66
9
0
04 Jan 2024
Data-Centric Foundation Models in Computational Healthcare: A Survey
Yunkun Zhang
Jin Gao
Zheling Tan
Lingfeng Zhou
Kexin Ding
Mu Zhou
Shaoting Zhang
Dequan Wang
AI4CE
113
25
0
04 Jan 2024
VALD-MD: Visual Attribution via Latent Diffusion for Medical Diagnostics
Ammar A. Siddiqui
Santosh Tirunagari
Tehseen Zia
David Windridge
MedIm
89
1
0
02 Jan 2024
Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP
Ruinan Jin
Chun-Yin Huang
Chenyu You
Xiaoxiao Li
AAML
MedIm
60
2
0
01 Jan 2024
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
Pratibha Kumari
Joohi Chauhan
Afshin Bozorgpour
Boqiang Huang
Reza Azad
Dorit Merhof
116
11
0
28 Dec 2023
Large-scale Long-tailed Disease Diagnosis on Radiology Images
Qiaoyu Zheng
Weike Zhao
Chaoyi Wu
Xiaoman Zhang
Lisong Dai
Hengyu Guan
Yuehua Li
Ya Zhang
Yanfeng Wang
Weidi Xie
LM&MA
MedIm
125
10
0
26 Dec 2023
Medical Report Generation based on Segment-Enhanced Contrastive Representation Learning
Ruoqing Zhao
Xi Wang
Hongliang Dai
Pan Gao
Piji Li
MedIm
65
3
0
26 Dec 2023
Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation
Nina Weng
Paraskevas Pegios
Eike Petersen
Aasa Feragen
Siavash Bigdeli
MedIm
CML
55
13
0
21 Dec 2023
RadEdit: stress-testing biomedical vision models via diffusion image editing
Fernando Pérez-García
Sam Bond-Taylor
Pedro P. Sanchez
B. V. Breugel
Daniel Coelho De Castro
...
M. Lungren
A. Nori
Javier Alvarez-Valle
Ozan Oktay
Maximilian Ilse
MedIm
127
11
0
20 Dec 2023
ECAMP: Entity-centered Context-aware Medical Vision Language Pre-training
Rongsheng Wang
Qingsong Yao
Zihang Jiang
Zhiyang He
Xiaodong Tao
Zihang Jiang
S.Kevin Zhou
MedIm
VLM
110
6
0
20 Dec 2023
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
87
5
0
18 Dec 2023
UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification
Tianjie Dai
Ruipeng Zhang
Feng Hong
Jiangchao Yao
Ya Zhang
Yanfeng Wang
114
13
0
18 Dec 2023
Fusing Conditional Submodular GAN and Programmatic Weak Supervision
Kumar Shubham
Pranav Sastry
AP Prathosh
79
2
0
16 Dec 2023
CLIP in Medical Imaging: A Comprehensive Survey
Zihao Zhao
Yuxiao Liu
Han Wu
Yonghao Li
Sheng Wang
L. Teng
Disheng Liu
Zhiming Cui
Qian Wang
Dinggang Shen
CLIP
MedIm
LM&MA
VLM
156
43
0
12 Dec 2023
Building Universal Foundation Models for Medical Image Analysis with Spatially Adaptive Networks
Lingxiao Luo
Xuanzhong Chen
Bingda Tang
Xinsheng Chen
Rong Han
Chengpeng Hu
Yujiang Li
Ting Chen
MedIm
72
2
0
12 Dec 2023
The Limits of Fair Medical Imaging AI In The Wild
Yuzhe Yang
Haoran Zhang
Judy W. Gichoya
Dina Katabi
Marzyeh Ghassemi
77
6
0
11 Dec 2023
Medical Vision Language Pretraining: A survey
Prashant Shrestha
Sanskar Amgain
Bidur Khanal
Cristian A. Linte
Binod Bhattarai
VLM
94
17
0
11 Dec 2023
FM-G-CAM: A Holistic Approach for Explainable AI in Computer Vision
Ravidu Suien Rammuni Silva
Jordan J. Bird
FAtt
53
1
0
10 Dec 2023
Visual Grounding of Whole Radiology Reports for 3D CT Images
Akimichi Ichinose
Taro Hatsutani
Keigo Nakamura
Yoshiro Kitamura
S. Iizuka
E. Simo-Serra
Shoji Kido
Noriyuki Tomiyama
82
9
0
08 Dec 2023
How Low Can You Go? Surfacing Prototypical In-Distribution Samples for Unsupervised Anomaly Detection
Felix Meissen
Johannes Getzner
Alexander Ziller
Georgios Kaissis
Daniel Rueckert
OODD
AI4TS
63
0
0
06 Dec 2023
Towards General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks
Mohammed Baharoon
Waseem Qureshi
J. Ouyang
Yanwu Xu
Abdulrhman Aljouie
Wei Peng
MedIm
AI4CE
95
7
0
04 Dec 2023
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training
Che Liu
Ouyang Cheng
Sibo Cheng
Anand Shah
Wenjia Bai
Rossella Arcucci
VLM
MedIm
100
10
0
03 Dec 2023
An Empirical Study of Automated Mislabel Detection in Real World Vision Datasets
Maya Srikanth
Jeremy Irvin
Brian Wesley Hill
Felipe Godoy
Ishan Sabane
Andrew Y. Ng
98
2
0
02 Dec 2023
Learning Anatomically Consistent Embedding for Chest Radiography
Ziyu Zhou
Haozhe Luo
Jiaxuan Pang
Xiaowei Ding
Michael B. Gotway
Jianming Liang
SSL
79
5
0
01 Dec 2023
Consensus, dissensus and synergy between clinicians and specialist foundation models in radiology report generation
Ryutaro Tanno
D. G. Barrett
Andrew Sellergren
Sumedh Ghaisas
Sumanth Dathathri
...
S. Shetty
Pushmeet Kohli
Po-Sen Huang
Alan Karthikesalingam
Ira Ktena
MedIm
55
12
0
30 Nov 2023
RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance
Chantal Pellegrini
Ege Özsoy
Benjamin Busam
Nassir Navab
Matthias Keicher
MedIm
LM&MA
160
27
0
30 Nov 2023
Pragmatic Radiology Report Generation
Dang Nguyen
Chacha Chen
He He
Chenhao Tan
LM&MA
MedIm
69
8
0
28 Nov 2023
Rescuing referral failures during automated diagnosis of domain-shifted medical images
Anuj Srivastava
Karm Patel
Pradeep Shenoy
D. Sridharan
OOD
63
0
0
28 Nov 2023
Unified Medical Image Pre-training in Language-Guided Common Semantic Space
Xiaoxuan He
Yifan Yang
Xinyang Jiang
Xufang Luo
Haoji Hu
Siyun Zhao
Dongsheng Li
Yuqing Yang
Lili Qiu
76
2
0
24 Nov 2023
A Systematic Review of Deep Learning-based Research on Radiology Report Generation
Chang Liu
Yuanhe Tian
Yan Song
MedIm
115
16
0
23 Nov 2023
MAIRA-1: A specialised large multimodal model for radiology report generation
Stephanie L. Hyland
Shruthi Bannur
Kenza Bouzid
Daniel Coelho De Castro
M. Ranjit
...
Noel C. F. Codella
M. Lungren
Maria T. A. Wetscherek
Ozan Oktay
Javier Alvarez-Valle
111
49
0
22 Nov 2023
Cascade Learning Localises Discriminant Features in Visual Scene Classification
Junwen Wang
K. Farrahi
35
0
0
21 Nov 2023
Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors
C. A. M. Heming
Mohamed Abdalla
Shahram Mohanna
Monish Ahluwalia
Linglin Zhang
...
MinJae Woo
Benjamin A. Fine
J. Gichoya
Leo Anthony Celi
Laleh Seyyed-Kalantari
CML
75
2
0
21 Nov 2023
Radiology Report Generation Using Transformers Conditioned with Non-imaging Data
Nurbanu Aksoy
Nishant Ravikumar
Alejandro F Frangi
ViT
MedIm
23
11
0
18 Nov 2023
Beyond Images: An Integrative Multi-modal Approach to Chest X-Ray Report Generation
Nurbanu Aksoy
Serge Sharoff
Selçuk Başer
Nishant Ravikumar
Alejandro F Frangi
MedIm
59
5
0
18 Nov 2023
INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis
Shih-Cheng Huang
Zepeng Huo
E. Steinberg
Chia-Chun Chiang
M. Lungren
Curtis P. Langlotz
Serena Yeung
Nigam H. Shah
Jason Alan Fries
LM&MA
58
13
0
17 Nov 2023
Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task Model
Raphael Schäfer
Till Nicke
Henning Höfener
Annkristin Lange
Dorit Merhof
Friedrich Feuerhake
Volkmar Schulz
Johannes Lotz
Fabian Kiessling
VLM
49
23
0
16 Nov 2023
Weakly Supervised Anomaly Detection for Chest X-Ray Image
Haoqi Ni
Ximiao Zhang
Min Xu
Ning Lang
Xiuzhuang Zhou
64
0
0
16 Nov 2023
Previous
1
2
3
...
7
8
9
...
21
22
23
Next