Is segmentation uncertainty useful?

30 March 2021

Papers citing "Is segmentation uncertainty useful?"

25 / 25 papers shown

Title
Generalizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework Jun Li Hongzhang Zhu Tao Chen Xiaohua Qian 40 4 0 12 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 91 1 0 25 Nov 2024
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification Jannik Franzen Claudia Winklmayr Vanessa Emanuela Guarino Christoph Karg Xiaoyan Yu Nora Koreuber Jan P. Albrecht Philip Bischoff Dagmar Kainmueller 43 0 0 11 Nov 2024
Segmentation by registration-enabled SAM prompt engineering using five reference images Yaxi Chen Aleksandra Ivanova Shaheer U. Saeed R. Hargunani Jie Huang Chaozong Liu Yipeng Hu MedIm 42 2 0 25 Jul 2024
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty Luca Mossina Joseba Dalmau Léo Andéol UQCV 40 12 0 16 Apr 2024
Bayesian Uncertainty Estimation by Hamiltonian Monte Carlo: Applications to Cardiac MRI Segmentation Yidong Zhao João Tourais Iain Pierce Christian Nitsche T. Treibel Sebastian Weingartner Artur M. Schweidtmann Qian Tao BDL UQCV 43 5 0 04 Mar 2024
Weakly supervised localisation of prostate cancer using reinforcement learning for bi-parametric MR images Martynas Pocius Wen Yan D. Barratt M. Emberton Matthew J. Clarkson Yipeng Hu Shaheer U. Saeed 32 0 0 21 Feb 2024
Tyche: Stochastic In-Context Learning for Medical Image Segmentation Marianne Rakic Hallee E. Wong Jose Javier Gonzalez Ortiz Beth Cimini John Guttag Adrian V. Dalca 36 11 0 24 Jan 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 30 16 0 16 Jan 2024
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation S. Chatterjee Franziska Gaidzik Alessandro Sciarra Hendrik Mattern G. Janiga Oliver Speck Andreas Nürnberger S. Pathiraja 49 0 0 25 Dec 2023
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 41 20 0 09 Oct 2023
Unsupervised bias discovery in medical image segmentation Nicolás Gaggion Rodrigo Echeveste Lucas Mansilla Diego H. Milone Enzo Ferrante 25 1 0 01 Sep 2023
Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images Wei Yi V. Stavrinides Zachary Michael Cieman Baum Qianye Yang D. Barratt Matthew J. Clarkson Yipeng Hu Shaheer U. Saeed 22 3 0 22 Aug 2023
That Label's Got Style: Handling Label Style Bias for Uncertain Image Segmentation Kilian Zepf Eike Petersen J. Frellsen Aasa Feragen 11 7 0 28 Mar 2023
Active learning using adaptable task-based prioritisation Shaheer U. Saeed João Ramalhinho Mark A. Pinnock Ziyi Shen Yunguan Fu ... D. Barratt Stephen P. Pereira Brian R. Davidson Matthew J. Clarkson Yipeng Hu 13 4 0 03 Dec 2022
Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Deep Learning Image Classification Han S. Lee Haeil Lee H. Hong Junmo Kim UQCV 25 0 0 01 Dec 2022
PatchRefineNet: Improving Binary Segmentation by Incorporating Signals from Optimal Patch-wise Binarization S. Nagendra Chaopeng Shen Daniel Kifer MQ 38 8 0 12 Nov 2022
Quantifying U-Net Uncertainty in Multi-Parametric MRI-based Glioma Segmentation by Spherical Image Projection Zhenyu Yang Kyle J. Lafata E. Vaios Zongsheng Hu Trey C Mullikin F. Yin Cong Wang 29 11 0 12 Oct 2022
Uncertainty Estimation for 3D Dense Prediction via Cross-Point Embeddings Kaiwen Cai Chris Xiaoxuan Lu Xiaowei Huang 3DPC 37 2 0 29 Sep 2022
Distributional Gaussian Processes Layers for Out-of-Distribution Detection S. Popescu D. Sharp James H. Cole Konstantinos Kamnitsas Ben Glocker OOD 29 0 0 27 Jun 2022
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation Agostina J. Larrazabal Cesar E. Martínez Jose Dolz Enzo Ferrante 19 15 0 22 Dec 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
Effect of the output activation function on the probabilities and errors in medical image segmentation Lars Nieradzik G. Scheuermann D. Saur Christina Gillmann SSeg MedIm UQCV 35 6 0 02 Sep 2021
Hierarchical Gaussian Processes with Wasserstein-2 Kernels S. Popescu D. Sharp James H. Cole Ben Glocker 25 5 0 28 Oct 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015