Conformal Performance Range Prediction for Segmentation Output Quality
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Conformal Performance Range Prediction for Segmentation Output Quality Control

18 July 2024

Anna M. Wundram

Michael Muehlebach

Christian F. Baumgartner

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Papers citing "Conformal Performance Range Prediction for Segmentation Output Quality Control"

12 / 12 papers shown

Title
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 262 1 0 25 Nov 2024
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation Kim-Celine Kahl Carsten T. Lüth M. Zenk Klaus Maier-Hein Paul F. Jaeger UQCV 103 17 0 16 Jan 2024
Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation Yuyuan Liu Choubo Ding Yu Tian Guansong Pang Vasileios Belagiannis Ian Reid G. Carneiro OODD 68 40 0 26 Nov 2022
Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores Zeju Li Konstantinos Kamnitsas Mobarakol Islam Chen Chen Ben Glocker 52 9 0 20 Jul 2022
Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging Anastasios Nikolas Angelopoulos Amit Kohli Stephen Bates Michael I. Jordan Jitendra Malik Thayer Alshaabi Srigokul Upadhyayula Yaniv Romano UQCV OOD 80 95 0 10 Feb 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 80 3 0 06 Dec 2021
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification Anastasios Nikolas Angelopoulos Stephen Bates OOD 204 622 0 15 Jul 2021
Automated quantification of myocardial tissue characteristics from native T1 mapping using neural networks with Bayesian inference for uncertainty-based quality-control Esther Puyol-Antón B. Ruijsink Christian F. Baumgartner Matthew Sinclair E. Konukoglu Reza Razavi A. King 39 34 0 31 Jan 2020
PHiSeg: Capturing Uncertainty in Medical Image Segmentation Christian F. Baumgartner K. Tezcan K. Chaitanya A. Hötker Urs J. Muehlematter K. Schawkat Anton S. Becker O. Donati E. Konukoglu UQCV 62 204 0 07 Jun 2019
Real-time Prediction of Segmentation Quality Robert Robinson Ozan Oktay Wenjia Bai V. Valindria M. Sanghvi ... S. Neubauer S. Petersen Chris Page Daniel Rueckert Ben Glocker 46 55 0 16 Jun 2018
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth V. Valindria I. Lavdas Wenjia Bai Konstantinos Kamnitsas E. Aboagye A. Rockall Daniel Rueckert Ben Glocker 64 127 0 11 Feb 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 829 9,318 0 06 Jun 2015

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