Leveraging Uncertainty Estimates for Predicting Segmentation Quality

2 July 2018

Papers citing "Leveraging Uncertainty Estimates for Predicting Segmentation Quality"

34 / 34 papers shown

Title
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results Meritxell Riera-Marin S. Ko Julia Rodriguez-Comas Matthias Stefan May Zhaohong Pan ... Anton Aubanell Andreu Antolin Javier Garcia-Lopez M. A. G. Ballester Adrian Galdran UQCV 48 0 0 13 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 93 1 0 25 Nov 2024
Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Networks Edgar Heinert Stephan Tilgner Timo Palm Matthias Rottmann UQCV 49 0 0 17 Sep 2024
SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model Yizhe Zhang Shuo Wang Tao Zhou Qingquan Dou Danny Chen 38 1 0 15 Dec 2023
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
A Review of Uncertainty Estimation and its Application in Medical Imaging K. Zou Zhihao Chen Xuedong Yuan Xiaojing Shen Meng Wang Huazhu Fu UQCV 49 85 0 16 Feb 2023
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation A. Vasiliuk Daria Frolova Mikhail Belyaev B. Shirokikh 36 2 0 01 Nov 2022
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 34 80 0 05 Oct 2022
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction Hu Wang Jianpeng Zhang Yuanhong Chen Congbo Ma Jodie Avery Louise Hull G. Carneiro UQCV 21 18 0 22 Jul 2022
Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection Ishaan Bhat J. Pluim M. Viergever Hugo J. Kuijf MedIm 21 4 0 22 Jun 2022
A Survey on Deep Learning for Skin Lesion Segmentation Z. Mirikharaji Kumar Abhishek Alceu Bissoto Catarina Barata Sandra Avila Eduardo Valle M. Celebi Ghassan Hamarneh 52 82 0 01 Jun 2022
Automatic quality control framework for more reliable integration of machine learning-based image segmentation into medical workflows Elena Williams Sebastian Niehaus J. Reinelt A. Merola P. Mihai ... Evelyn Medawar Daniel Lichterfeld Ingo Roeder N. Scherf Maria del C. Valdés Hernández 26 3 0 06 Dec 2021
Diffusion Models for Implicit Image Segmentation Ensembles J. Wolleb Robin Sandkühler Florentin Bieder Philippe Valmaggia Philippe C. Cattin DiffM MedIm VLM 29 267 0 06 Dec 2021
TransMorph: Transformer for unsupervised medical image registration Junyu Chen Eric C. Frey Yufan He W. Paul Segars Ye Li Yong Du ViT MedIm 41 304 0 19 Nov 2021
Interactive Medical Image Segmentation with Self-Adaptive Confidence Calibration Wenhao Li Qisen Xu Chuyun Shen Bin Hu Fengping Zhu Yuxin Li Bo Jin Xiangfeng Wang 30 5 0 15 Nov 2021
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation Michael Yeung L. Rundo Yang Nan Evis Sala Carola-Bibiane Schönlieb Guang Yang UQCV 25 30 0 31 Oct 2021
Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection H. Akrami Anand A. Joshi Sergul Aydore Richard M. Leahy UQCV 39 4 0 20 Sep 2021
A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation Richard Shaw Carole H. Sudre Sebastien Ourselin M. Jorge Cardoso H. Pemberton UQCV 27 5 0 06 Sep 2021
FSNet: A Failure Detection Framework for Semantic Segmentation Q. Rahman Niko Sünderhauf Peter Corke Feras Dayoub UQCV SSeg 35 20 0 19 Aug 2021
False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates Kira Maag UQCV 21 6 0 28 Jun 2021
Robust Mutual Learning for Semi-supervised Semantic Segmentation Pan Zhang Bo Zhang Ting Zhang Dong Chen Fang Wen 31 17 0 01 Jun 2021
Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation Chenxin Li Wenao Ma Liyan Sun Xinghao Ding Yue Huang Guisheng Wang Yizhou Yu 20 36 0 31 May 2021
U-LanD: Uncertainty-Driven Video Landmark Detection Mohammad Jafari C. Luong Michael Y. Tsang A. Gu N. V. Woudenberg R. Rohling T. Tsang Purang Abolmaesumi 42 12 0 02 Feb 2021
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates Kira Maag Matthias Rottmann Serin Varghese Fabian Hüger Peter Schlicht Hanno Gottschalk UQCV 22 12 0 14 Dec 2020
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images Narinder Singh Punn Sonali Agarwal 34 31 0 13 Dec 2020
Deep Learning for Medical Anomaly Detection -- A Survey Tharindu Fernando Harshala Gammulle Simon Denman Sridha Sridharan Clinton Fookes OOD 20 271 0 04 Dec 2020
Automatic segmentation with detection of local segmentation failures in cardiac MRI Jörg Sander B. D. de Vos Ivana Išgum 25 50 0 13 Nov 2020
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks Kira Maag Matthias Rottmann Hanno Gottschalk 29 34 0 12 Nov 2019
Assessing Reliability and Challenges of Uncertainty Estimations for Medical Image Segmentation Alain Jungo M. Reyes UQCV 30 134 0 07 Jul 2019
Prostate Segmentation from 3D MRI Using a Two-Stage Model and Variable-Input Based Uncertainty Measure Huitong Pan Brandon Yushan Feng Quan Chen C. Meyer Xue Feng 24 16 0 06 Mar 2019
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition Zizhao Zhang Adriana Romero Matthew Muckley Pascal Vincent Lin Yang M. Drozdzal 19 110 0 08 Feb 2019
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 340 10,633 0 19 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,683 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015