Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks

19 July 2018

Guotai Wang

Wenqi Li

Michael Aertsen

Jan Deprest

Sebastien Ourselin

Tom Kamiel Magda Vercauteren

Papers citing "Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks"

50 / 86 papers shown

Title
UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model T. Kaiser Thomas Norrenbrock Bodo Rosenhahn 48 0 0 08 May 2025
Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency Dropout Tal Zeevi Lawrence H. Staib J. Onofrey OOD UQCV 53 0 0 20 Jan 2025
Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation Rini Smita Thakur Vinod K. Kurmi UQCV 31 1 0 03 Jan 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
Legitimate ground-truth-free metrics for deep uncertainty classification scoring Arthur Pignet Chiara Regniez John Klein 72 1 0 30 Oct 2024
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown Xingzhou Lou Dong Yan Wei Shen Yuzi Yan Jian Xie Junge Zhang 45 22 0 01 Oct 2024
Bayesian Self-Training for Semi-Supervised 3D Segmentation Ozan Unal Christos Sakaridis Luc Van Gool 3DPC 3DV 34 0 0 12 Sep 2024
Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data Atul Kumar S. Garg Soumya Dutta 53 0 0 23 Jul 2024
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees E. Nehme Rotem Mulayoff T. Michaeli UQCV 48 2 0 24 May 2024
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation Qiangguo Jin Hui Cui Changming Sun Yang Song Jiangbin Zheng Leilei Cao Leyi Wei Ran Su 43 17 0 19 Mar 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
Understanding Test-Time Augmentation Masanari Kimura ViT 16 29 0 10 Feb 2024
Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handling Jan Küchler Daniel Kröll S. Schoenen Andreas Witte UQCV 40 1 0 17 Jan 2024
PlaNet-S: Automatic Semantic Segmentation of Placenta Shinnosuke Yamamoto Isso Saito Eichi Takaya Ayaka Harigai Tomomi Sato Tomoya Kobayashi Kei Takase Takuya Ueda 21 0 0 18 Dec 2023
Uncertainty Visualization via Low-Dimensional Posterior Projections Omer Yair E. Nehme T. Michaeli UQCV 35 2 0 12 Dec 2023
Test-Time Augmentation for 3D Point Cloud Classification and Segmentation Tuan-Anh Vu Srinjay Sarkar Zhiyuan Zhang Binh-Son Hua Sai-Kit Yeung 3DPC 37 1 0 22 Nov 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
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation Jadie Adams Shireen Elhabian UQCV 18 5 0 15 Aug 2023
Uncertainty Quantification for Image-based Traffic Prediction across Cities Alexander Timans Nina Wiedemann Nishant Kumar Ye Hong Martin Raubal 18 1 0 11 Aug 2023
Multi-layer Aggregation as a key to feature-based OOD detection Benjamin Lambert Florence Forbes Senan Doyle M. Dojat 30 5 0 28 Jul 2023
Boundary-weighted logit consistency improves calibration of segmentation networks Neerav Karani Neel Dey Polina Golland 19 3 0 16 Jul 2023
Edge-aware Multi-task Network for Integrating Quantification Segmentation and Uncertainty Prediction of Liver Tumor on Multi-modality Non-contrast MRI Xiaojiao Xiao Qinmin Hu Guanghui Wang MedIm 29 10 0 04 Jul 2023
Robust Uncertainty Estimation for Classification of Maritime Objects J. Becktor Frederik E. T. Schöller Evangelos Boukas Lazaros Nalpantidis UQCV OOD 42 2 0 03 Jul 2023
Topology-Aware Uncertainty for Image Segmentation Saumya Gupta Yikai Zhang Xiaoling Hu Prateek Prasanna Chao Chen 28 27 0 09 Jun 2023
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks Pedro Conde T. Barros Rui L. Lopes C. Premebida U. J. Nunes UQCV 24 7 0 11 Apr 2023
UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts Pratinav Seth Mihir Agarwal AI4MH 21 1 0 10 Apr 2023
Steerable Equivariant Representation Learning Sangnie Bhardwaj Willie McClinton Tongzhou Wang Guillaume Lajoie Chen Sun Phillip Isola Dilip Krishnan OOD LLMSV 31 5 0 22 Feb 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 46 86 0 16 Feb 2023
Uncertainty-Aware AB3DMOT by Variational 3D Object Detection Illia Oleksiienko Alexandros Iosifidis 3DPC 33 1 0 12 Feb 2023
Variational Voxel Pseudo Image Tracking Illia Oleksiienko Paraskevi Nousi Nikolaos Passalis Anastasios Tefas Alexandros Iosifidis 24 1 0 12 Feb 2023
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation Mélanie Gaillochet Christian Desrosiers H. Lombaert 19 11 0 16 Jan 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 24 28 0 21 Dec 2022
TMS-Net: A Segmentation Network Coupled With A Run-time Quality Control Method For Robust Cardiac Image Segmentation F. Uslu Anil A. Bharath 39 14 0 21 Dec 2022
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy Images Wei Chen Chen Li Dan Chen Xin Luo MedIm SSL 30 12 0 27 Nov 2022
Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models Kumud Lakara Matias Valdenegro-Toro UQCV OOD 30 1 0 11 Nov 2022
UATTA-ENS: Uncertainty Aware Test Time Augmented Ensemble for PIRC Diabetic Retinopathy Detection Pratinav Seth Adil Mehmood Khan Ananya Gupta Saurabh Mishra Akshat Bhandhari 24 0 0 06 Nov 2022
MONAI: An open-source framework for deep learning in healthcare M. Jorge Cardoso Wenqi Li Richard Brown Nic Ma E. Kerfoot ... Klaus H. Maier-Hein S. Aylward Prerna Dogra Sebastien Ourselin Andrew Feng 46 481 0 04 Nov 2022
Bayesian Counterfactual Mean Embeddings and Off-Policy Evaluation Diego Martinez-Taboada Dino Sejdinovic CML OffRL 23 0 0 02 Nov 2022
Private and Reliable Neural Network Inference Nikola Jovanović Marc Fischer Samuel Steffen Martin Vechev 14 14 0 27 Oct 2022
Partial annotations for the segmentation of large structures with low annotation cost Bella Specktor-Fadida Daphna Link-Sourani Liat Ben Sira Elka Miller D. Ben Bashat Leo Joskowicz 14 2 0 25 Sep 2022
Automatic Segmentation of the Placenta in BOLD MRI Time Series S. M. Abulnaga Sean I. Young Katherine I. Hobgood Eileen Pan Clinton Jia Wang P. E. Grant Esra Abaci Turk Polina Golland 26 6 0 04 Aug 2022
Improved post-hoc probability calibration for out-of-domain MRI segmentation Cheng Ouyang Shuo Wang Cheng Chen Zeju Li Wenjia Bai Bernhard Kainz Daniel Rueckert UQCV MedIm 21 4 0 04 Aug 2022
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks Uddeshya Upadhyay Shyamgopal Karthik Yanbei Chen Massimiliano Mancini Zeynep Akata UQCV BDL 35 22 0 14 Jul 2022
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting Bohan Tang Yiqi Zhong Chenxin Xu Wei Wu Ulrich Neumann Yanfeng Wang Ya-Qin Zhang Siheng Chen 36 9 0 11 Jul 2022
TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation Zihan Li Dihan Li Cangbai Xu Wei-Chien Wang Qingqi Hong Qingde Li Jie Tian ViT MedIm 22 46 0 07 Jul 2022
Slice-by-slice deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for spatial uncertainty on FDG PET and CT images A. De Biase N. Sijtsema L. V. van Dijk J. Langendijk P. V. van Ooijen 40 19 0 04 Jul 2022
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View V. Zimmer A. Gómez E. Skelton Robert Wright G. Wheeler ... Jacqueline Matthew Bernhard Kainz Daniel Rueckert Joseph V. Hajnal J. Schnabel 25 22 0 29 Jun 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 Verification Framework for Certifying Learning-Based Safety-Critical Aviation Systems Ali Baheri Hao Ren B. Johnson Pouria Razzaghi Peng Wei 18 5 0 09 May 2022
Generalisation effects of predictive uncertainty estimation in deep learning for digital pathology Milda Pocevičiūtė Gabriel Eilertsen Sofia Jarkman Claes Lundström OOD UQCV 25 24 0 17 Dec 2021