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

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

10 / 10 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 64 8 0 24 Feb 2025
NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision Sandesh Pokhrel Sanjay Bhandari Sharib Ali Tryphon Lambrou Anh Nguyen Yash Raj Shrestha Angus Watson Danail Stoyanov P. Gyawali Binod Bhattarai 69 1 0 02 Dec 2024
Revamping AI Models in Dermatology: Overcoming Critical Challenges for Enhanced Skin Lesion Diagnosis Deval Mehta B. Betz‐Stablein Toàn D. Nguyên Yaniv Gal Adrian Bowling ... M. Sashindranath Paul Bonnington Victoria Mar Peter Soyer Zongyuan Ge VLM 21 2 0 02 Nov 2023
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data Mohammad Azizmalayeri Ameen Abu-Hanna Dirk Kraft OOD 25 5 0 28 Sep 2023
Beyond AUROC & co. for evaluating out-of-distribution detection performance Galadrielle Humblot-Renaux Sergio Escalera T. Moeslund OODD 19 4 0 26 Jun 2023
Model Monitoring and Robustness of In-Use Machine Learning Models: Quantifying Data Distribution Shifts Using Population Stability Index A. Khademi M. Hopka Devesh Upadhyay OOD 33 3 0 01 Feb 2023
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 Lily H. Zhang Mark Goldstein Rajesh Ranganath OODD 143 103 0 14 Jul 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015