ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2109.14885
  4. Cited By
Out-of-Distribution Detection for Medical Applications: Guidelines for
  Practical Evaluation

Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation

30 September 2021
Karina Zadorozhny
P. Thoral
Paul Elbers
Giovanni Cina
    OODD
    OOD
ArXivPDFHTML

Papers citing "Out-of-Distribution Detection for Medical Applications: Guidelines for Practical Evaluation"

6 / 6 papers shown
Title
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1
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
64
8
0
24 Feb 2025
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection
  in Medical Tabular Data
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data
Mohammad Azizmalayeri
Ameen Abu-Hanna
Dirk Kraft
OOD
22
5
0
28 Sep 2023
Looking for Out-of-Distribution Environments in Multi-center Critical
  Care Data
Looking for Out-of-Distribution Environments in Multi-center Critical Care Data
Dimitris Spathis
Stephanie L. Hyland
OOD
CML
27
4
0
26 May 2022
Understanding Failures in Out-of-Distribution Detection with Deep
  Generative Models
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models
Lily H. Zhang
Mark Goldstein
Rajesh Ranganath
OODD
143
103
0
14 Jul 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
1