Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT

29 May 2019

Papers citing "Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT"

21 / 21 papers shown

Title
Bayesian Deep Learning Approaches for Uncertainty-Aware Retinal OCT Image Segmentation for Multiple Sclerosis Samuel T. M. Ball UQCV BDL 37 0 0 17 May 2025
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 96 1 0 25 Nov 2024
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 46 20 0 09 Oct 2023
Improving Vision Anomaly Detection with the Guidance of Language Modality Dong Chen Kaihang Pan Guoming Wang Yueting Zhuang Siliang Tang 33 3 0 04 Oct 2023
Topology-Aware Uncertainty for Image Segmentation Saumya Gupta Yikai Zhang Xiaoling Hu Prateek Prasanna Chao Chen 33 27 0 09 Jun 2023
Confidence-Aware and Self-Supervised Image Anomaly Localisation Johanna P. Müller Matthew Baugh Jeremy Tan Mischa Dombrowski Bernhard Kainz UQCV OOD 29 4 0 23 Mar 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging K. Zou Zhihao Chen Xuedong Yuan Xiaojing Shen Meng Wang Huazhu Fu UQCV 54 87 0 16 Feb 2023
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation A. Vasiliuk Daria Frolova Mikhail Belyaev B. Shirokikh 39 2 0 01 Nov 2022
Anomaly Detection using Generative Models and Sum-Product Networks in Mammography Scans Marc Dietrichstein David Major Martin Trapp M. Wimmer Dimitrios Lenis Philip Winter Astrid Berg Theresa Neubauer Katja Bühler MedIm 18 4 0 12 Oct 2022
GaIA: Graphical Information Gain based Attention Network for Weakly Supervised Point Cloud Semantic Segmentation Min Seok Lee Seok Woo Yang S. W. Han 3DPC 27 21 0 02 Oct 2022
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection Ishaan Bhat J. Pluim M. Viergever Hugo J. Kuijf MedIm 26 4 0 22 Jun 2022
Robustness via Uncertainty-aware Cycle Consistency Uddeshya Upadhyay Yanbei Chen Zeynep Akata 33 21 0 24 Oct 2021
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation Robin Camarasa D. Bos J. Hendrikse P. Nederkoorn D. Epidemiology D. Neurology Department of Computer Science UQCV 29 12 0 22 Sep 2021
Medical Imaging with Deep Learning for COVID- 19 Diagnosis: A Comprehensive Review Subrato Bharati Prajoy Podder M. Rubaiyat Hossain Mondal V. B. Surya Prasath 28 39 0 13 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 66 1,112 0 07 Jul 2021
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation Robin Shing Moon Chan Krzysztof Lis Svenja Uhlemeyer Hermann Blum S. Honari Roland Siegwart Pascal Fua Mathieu Salzmann Matthias Rottmann UQCV 24 136 0 30 Apr 2021
Deep Learning for Medical Anomaly Detection -- A Survey Tharindu Fernando Harshala Gammulle Simon Denman Sridha Sridharan Clinton Fookes OOD 22 271 0 04 Dec 2020
Improved anomaly detection by training an autoencoder with skip connections on images corrupted with Stain-shaped noise Anne-Sophie Collin Christophe De Vleeschouwer 29 85 0 29 Aug 2020
Towards a glaucoma risk index based on simulated hemodynamics from fundus images J. Orlando J. Barbosa-Breda K. V. Keer Matthew B. Blaschko P. Blanco C. Bulant 58 79 0 25 May 2018
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 355 10,639 0 19 Feb 2017
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 213 745 0 06 Jun 2015