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2007.04250
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A Benchmark of Medical Out of Distribution Detection
8 July 2020
Tianshi Cao
Chinwei Huang
D. Y. Hui
Joseph Paul Cohen
OOD
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Papers citing
"A Benchmark of Medical Out of Distribution Detection"
16 / 16 papers shown
Title
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
Giulia Di Teodoro
F. Siciliano
V. Guarrasi
A. Vandamme
Valeria Ghisetti
Anders Sönnerborg
Maurizio Zazzi
Fabrizio Silvestri
L. Palagi
69
8
0
24 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
Danny Wang
Ruihong Qiu
Guangdong Bai
Zi Huang
140
0
0
09 Feb 2025
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
Yingwen Wu
Ruiji Yu
Xinwen Cheng
Zhengbao He
Xiaolin Huang
OODD
72
1
0
28 May 2024
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation
M. Woodland
Nihil Patel
Mais Al Taie
J. Yung
Tucker Netherton
Ankit B. Patel
Kristy K. Brock
OOD
30
6
0
07 Aug 2023
Redesigning Out-of-Distribution Detection on 3D Medical Images
A. Vasiliuk
Daria Frolova
Mikhail Belyaev
B. Shirokikh
OOD
34
5
0
07 Aug 2023
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz
D. Bhutto
Bo Zhu
J. Liu
Neha Koonjoo
H. Li
Bruce Rosen
M. Rosen
UQCV
OOD
15
2
0
12 May 2023
Confidence-Aware and Self-Supervised Image Anomaly Localisation
Johanna P. Müller
Matthew Baugh
Jeremy Tan
Mischa Dombrowski
Bernhard Kainz
UQCV
OOD
24
4
0
23 Mar 2023
DIAGNOSE: Avoiding Out-of-distribution Data using Submodular Information Measures
Suraj Kothawade
Akshit Shrivastava
V. Iyer
Ganesh Ramakrishnan
Rishabh K. Iyer
22
1
0
04 Oct 2022
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare
Marissa Radensky
Dustin Burson
Rajya Bhaiya
Daniel S. Weld
24
0
0
27 Apr 2022
Recommendations on test datasets for evaluating AI solutions in pathology
A. Homeyer
Christian Geißler
L. O. Schwen
Falk Zakrzewski
Theodore Evans
...
Tobias Lang
P. Boor
Heimo Muller
P. Hufnagl
N. Zerbe
47
42
0
21 Apr 2022
Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild
Xuefeng Du
Xin Wang
Gabriel Gozum
Yixuan Li
OODD
43
91
0
08 Mar 2022
CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in Medical Imaging AI
Arjun Soin
J. Merkow
Jin Long
Joseph Paul Cohen
Smitha Saligrama
Stephen Kaiser
Steven Borg
Ivan Tarapov
M. Lungren
OOD
56
15
0
06 Feb 2022
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection
Chunjong Park
Anas Awadalla
Tadayoshi Kohno
Shwetak N. Patel
OOD
30
29
0
26 Oct 2021
How is BERT surprised? Layerwise detection of linguistic anomalies
Bai Li
Zining Zhu
Guillaume Thomas
Yang Xu
Frank Rudzicz
27
31
0
16 May 2021
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions
Abhijit Guha Roy
Jie Jessie Ren
Shekoofeh Azizi
Aaron Loh
Vivek Natarajan
...
Yun-Hui Liu
taylan. cemgil
Alan Karthikesalingam
Balaji Lakshminarayanan
Jim Winkens
18
104
0
08 Apr 2021
Loss Estimators Improve Model Generalization
V. Narayanaswamy
Jayaraman J. Thiagarajan
Deepta Rajan
A. Spanias
OOD
UQCV
19
0
0
05 Mar 2021
1