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Can we trust deep learning models diagnosis? The impact of domain shift
  in chest radiograph classification
v1v2 (latest)

Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification

3 September 2019
E. Pooch
P. Ballester
Rodrigo C. Barros
    OOD
ArXiv (abs)PDFHTML

Papers citing "Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification"

23 / 23 papers shown
Title
EOOD: Entropy-based Out-of-distribution Detection
EOOD: Entropy-based Out-of-distribution Detection
Guide Yang
Chao Hou
Weilong Peng
Xiang Fang
Yongwei Nie
Peican Zhu
Keke Tang
OODD
143
0
0
04 Apr 2025
Generate to Discriminate: Expert Routing for Continual Learning
Generate to Discriminate: Expert Routing for Continual Learning
Yewon Byun
Sanket Vaibhav Mehta
Saurabh Garg
Emma Strubell
Michael Oberst
Bryan Wilder
Zachary Chase Lipton
176
0
0
31 Dec 2024
One Wave To Explain Them All: A Unifying Perspective On Feature Attribution
One Wave To Explain Them All: A Unifying Perspective On Feature Attribution
Gabriel Kasmi
Amandine Brunetto
Thomas Fel
Jayneel Parekh
AAMLFAtt
87
0
0
02 Oct 2024
FedMedICL: Towards Holistic Evaluation of Distribution Shifts in
  Federated Medical Imaging
FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging
Kumail Alhamoud
Yasir Ghunaim
Motasem Alfarra
Thomas Hartvigsen
Philip Torr
Guohao Li
Adel Bibi
Marzyeh Ghassemi
OOD
83
2
0
11 Jul 2024
Out-of-Distribution Detection and Data Drift Monitoring using
  Statistical Process Control
Out-of-Distribution Detection and Data Drift Monitoring using Statistical Process Control
Ghada Zamzmi
Kesavan Venkatesh
Brandon Nelson
Smriti Prathapan
Paul H Yi
B. Sahiner
Jana G. Delfino
OOD
71
0
0
12 Feb 2024
On Evaluating Adversarial Robustness of Chest X-ray Classification:
  Pitfalls and Best Practices
On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices
Salah Ghamizi
Maxime Cordy
Michail Papadakis
Yves Le Traon
OOD
47
3
0
15 Dec 2022
Block Selection Method for Using Feature Norm in Out-of-distribution
  Detection
Block Selection Method for Using Feature Norm in Out-of-distribution Detection
Yeonguk Yu
Sungho Shin
Seongju Lee
C. Jun
Kyoobin Lee
OODD
83
35
0
05 Dec 2022
DomainATM: Domain Adaptation Toolbox for Medical Data Analysis
DomainATM: Domain Adaptation Toolbox for Medical Data Analysis
Hao Guan
Mingxia Liu
OOD
44
11
0
24 Sep 2022
Inter-Semantic Domain Adversarial in Histopathological Images
Inter-Semantic Domain Adversarial in Histopathological Images
Nicolas Dumas
V. Derangère
L. Arnould
S. Ladoire
Louis-Oscar Morel
Nathan Vinçon
OODMedIm
35
0
0
22 Jan 2022
Benchmarking Uncertainty Quantification on Biosignal Classification
  Tasks under Dataset Shift
Benchmarking Uncertainty Quantification on Biosignal Classification Tasks under Dataset Shift
Tong Xia
Jing Han
Cecilia Mascolo
OOD
84
11
0
16 Dec 2021
Out-of-distribution Generalization in the Presence of Nuisance-Induced
  Spurious Correlations
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations
A. Puli
Lily H. Zhang
Eric K. Oermann
Rajesh Ranganath
OODOODD
85
49
0
29 Jun 2021
Structured dataset documentation: a datasheet for CheXpert
Structured dataset documentation: a datasheet for CheXpert
Christian Garbin
Pranav Rajpurkar
Jeremy Irvin
M. Lungren
Oge Marques
58
16
0
07 May 2021
An Empirical Framework for Domain Generalization in Clinical Settings
An Empirical Framework for Domain Generalization in Clinical Settings
Haoran Zhang
Natalie Dullerud
Laleh Seyyed-Kalantari
Q. Morris
Shalmali Joshi
Marzyeh Ghassemi
OODAI4CE
125
61
0
20 Mar 2021
Domain Adaptation for Medical Image Analysis: A Survey
Domain Adaptation for Medical Image Analysis: A Survey
Hao Guan
Mingxia Liu
OOD
147
563
0
18 Feb 2021
Federated Deep AUC Maximization for Heterogeneous Data with a Constant
  Communication Complexity
Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity
Zhuoning Yuan
Zhishuai Guo
Yi Tian Xu
Yiming Ying
Tianbao Yang
FedML
69
36
0
09 Feb 2021
Key Technology Considerations in Developing and Deploying Machine
  Learning Models in Clinical Radiology Practice
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice
V. Kulkarni
M. Gawali
A. Kharat
VLM
117
21
0
03 Feb 2021
Privacy Preserving Recalibration under Domain Shift
Privacy Preserving Recalibration under Domain Shift
Rachel Luo
Shengjia Zhao
Jiaming Song
Jonathan Kuck
Stefano Ermon
Silvio Savarese
49
3
0
21 Aug 2020
Risk of Training Diagnostic Algorithms on Data with Demographic Bias
Risk of Training Diagnostic Algorithms on Data with Demographic Bias
Samaneh Abbasi-Sureshjani
Ralf Raumanns
B. Michels
Gerard Schouten
Veronika Cheplygina
FaML
79
37
0
20 May 2020
A Critic Evaluation of Methods for COVID-19 Automatic Detection from
  X-Ray Images
A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images
Gianluca Maguolo
L. Nanni
85
202
0
27 Apr 2020
On the limits of cross-domain generalization in automated X-ray
  prediction
On the limits of cross-domain generalization in automated X-ray prediction
Joseph Paul Cohen
Mohammad Hashir
Rupert Brooks
H. Bertrand
OOD
106
130
0
06 Feb 2020
An Adversarial Approach for the Robust Classification of Pneumonia from
  Chest Radiographs
An Adversarial Approach for the Robust Classification of Pneumonia from Chest Radiographs
Joseph D. Janizek
G. Erion
A. DeGrave
Su-In Lee
OODMedIm
69
29
0
13 Jan 2020
Normalization of breast MRIs using Cycle-Consistent Generative
  Adversarial Networks
Normalization of breast MRIs using Cycle-Consistent Generative Adversarial Networks
Gourav Modanwal
Adithya Vellal
Maciej A. Mazurowski
MedIm
60
28
0
16 Dec 2019
The reliability of a deep learning model in clinical out-of-distribution
  MRI data: a multicohort study
The reliability of a deep learning model in clinical out-of-distribution MRI data: a multicohort study
G. Mårtensson
D. Ferreira
T. Granberg
L. Cavallin
K. Oppedal
...
H. Soininen
S. Lovestone
A. Simmons
D. Aarsland
E. Westman
OOD
82
137
0
01 Nov 2019
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