Redesigning Out-of-Distribution Detection on 3D Medical Images

7 August 2023

Papers citing "Redesigning Out-of-Distribution Detection on 3D Medical Images"

7 / 7 papers shown

Title
Robustness Testing of Black-Box Models Against CT Degradation Through Test-Time Augmentation Jack Highton Quok Zong Chong Samuel Finestone A. Beqiri Julia A. Schnabel K. Bhatia OOD 26 1 0 27 Jun 2024
Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation M. Zenk David Zimmerer Fabian Isensee Jeremias Traub T. Norajitra Paul F. Jäger Klaus H. Maier-Hein 37 4 0 05 Jun 2024
Segment Every Out-of-Distribution Object Wenjie Zhao Jia Li Xin Dong Yu Xiang Yunhui Guo 17 8 0 27 Nov 2023
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 24 76 0 05 Oct 2022
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 278 10,608 0 19 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015