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2107.10356
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Reading Race: AI Recognises Patient's Racial Identity In Medical Images
21 July 2021
Imon Banerjee
A. Bhimireddy
J. L. Burns
Leo Anthony Celi
Li-Ching Chen
R. Correa
Natalie Dullerud
Marzyeh Ghassemi
Shih-Cheng Huang
Po-Chih Kuo
M. Lungren
L. Palmer
Brandon Price
S. Purkayastha
A. Pyrros
Luke Oakden-Rayner
Chima Okechukwu
Laleh Seyyed-Kalantari
Hari M. Trivedi
Ryan Wang
Z. Zaiman
Haoran Zhang
J. Gichoya
Re-assign community
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Papers citing
"Reading Race: AI Recognises Patient's Racial Identity In Medical Images"
16 / 16 papers shown
Title
FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification
Yicheng Gao
Jinkui Hao
Bo Zhou
116
0
0
20 Dec 2024
Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records
Daeun Kyung
J. Kim
Tackeun Kim
Edward Choi
MedIm
DiffM
70
1
0
11 Sep 2024
To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling
S. Rutherford
T. Wolfers
Charlotte J. Fraza
Nathaniel G. Harrnet
Christian F. Beckmann
H. Ruhé
A. Marquand
CML
74
3
0
26 Jul 2024
Augmenting Chest X-ray Datasets with Non-Expert Annotations
Veronika Cheplygina
Cathrine Damgaard
Dovile Juodelyte
Veronika Cheplygina
Amelia Jiménez-Sánchez
96
4
0
05 Sep 2023
Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts
Sarah Jabbour
David Fouhey
Ella Kazerooni
Michael Sjoding
Jenna Wiens
OOD
45
49
0
21 Sep 2020
CheXclusion: Fairness gaps in deep chest X-ray classifiers
Laleh Seyyed-Kalantari
Guanxiong Liu
Matthew B. A. McDermott
Irene Y. Chen
Marzyeh Ghassemi
OOD
83
291
0
14 Feb 2020
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
Haohan Wang
Xindi Wu
Pengcheng Yin
Eric Xing
59
522
0
28 May 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
131
18,058
0
28 May 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin
Pranav Rajpurkar
M. Ko
Yifan Yu
Silviana Ciurea-Ilcus
...
D. Larson
C. Langlotz
Bhavik Patel
M. Lungren
A. Ng
110
2,583
0
21 Jan 2019
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
Robert Geirhos
Patricia Rubisch
Claudio Michaelis
Matthias Bethge
Felix Wichmann
Wieland Brendel
96
2,662
0
29 Nov 2018
TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation
V. Iglovikov
Alexey A. Shvets
SSeg
34
611
0
17 Jan 2018
Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning
Ryan Poplin
A. Varadarajan
Katy Blumer
Yun-Hui Liu
M. McConnell
G. Corrado
L. Peng
D. Webster
MedIm
55
1,339
0
31 Aug 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
264
19,929
0
07 Oct 2016
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
725
36,708
0
25 Aug 2016
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
698
38,735
0
09 Mar 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.1K
193,426
0
10 Dec 2015
1