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 / 244 papers shown

Title
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
Estimating Uncertainty in Landslide Segmentation Models S. Nagendra Chaopeng Shen Daniel Kifer UQCV 28 4 0 18 Nov 2023
On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation D. M. Nguyen Tan Ngoc Pham Nghiem Tuong Diep Nghi Quoc Phan Quang Pham ... Ngan Hoang Le Nhat Ho Pengtao Xie Daniel Sonntag Mathias Niepert VLM UQCV OOD 24 6 0 18 Nov 2023
A Saliency-based Clustering Framework for Identifying Aberrant Predictions A. Tersol Montserrat Alexander R. Loftus Yael Daihes 12 0 0 11 Nov 2023
Test-time Augmentation for Factual Probing Go Kamoda Benjamin Heinzerling Keisuke Sakaguchi Kentaro Inui 4 1 0 26 Oct 2023
Uncertainty Quantification using Generative Approach Yunsheng Zhang UQCV BDL 19 0 0 13 Oct 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
Sub-token ViT Embedding via Stochastic Resonance Transformers Dong Lao Yangchao Wu Tian Yu Liu Alex Wong Stefano Soatto VOS 36 4 0 06 Oct 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation Mingxuan Ju Tong Zhao Wenhao Yu Neil Shah Yanfang Ye 31 13 0 01 Oct 2023
Propagation and Attribution of Uncertainty in Medical Imaging Pipelines Leonhard F. Feiner M. Menten Kerstin Hammernik Paul Hager Wenqi Huang Rafael Azevedo R. Braren Georgios Kaissis MedIm 13 3 0 28 Sep 2023
Uncertainty Quantification via Neural Posterior Principal Components E. Nehme Omer Yair T. Michaeli UQCV 35 14 0 27 Sep 2023
Understanding Calibration of Deep Neural Networks for Medical Image Classification A. Sambyal Usma Niyaz N. C. Krishnan Deepti R. Bathula 17 7 0 22 Sep 2023
Using AI Uncertainty Quantification to Improve Human Decision-Making L. Marusich J. Bakdash Yan Zhou Murat Kantarcioglu 32 3 0 19 Sep 2023
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance Lei Fan Bo Liu Haoxiang Li Ying Wu Gang Hua 31 4 0 14 Sep 2023
From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion Models Changming Xiao Qi Yang Feng Zhou Changshui Zhang 36 17 0 08 Sep 2023
Continual Evidential Deep Learning for Out-of-Distribution Detection Eduardo Aguilar Bogdan Raducanu Petia Radeva Joost van de Weijer OODD EDL 22 7 0 06 Sep 2023
Uncertainty Aware Training to Improve Deep Learning Model Calibration for Classification of Cardiac MR Images Tareen Dawood Chen Chen B. Sidhu B. Ruijsink J. Gould ... Vishal S. Mehta C. Rinaldi Esther Puyol-Antón Reza Razavi A. King OOD 30 10 0 29 Aug 2023
Temporal Uncertainty Localization to Enable Human-in-the-loop Analysis of Dynamic Contrast-enhanced Cardiac MRI Datasets D. M. Yalcinkaya Khalid Youssef Bobak Heydari Orlando Simonetti R. Dharmakumar Subha V. Raman Behzad Sharif 7 0 0 25 Aug 2023
POCO: 3D Pose and Shape Estimation with Confidence Sai Kumar Dwivedi Cordelia Schmid Hongwei Yi Michael J. Black Dimitrios Tzionas 3DH 11 16 0 24 Aug 2023
Test-time augmentation-based active learning and self-training for label-efficient segmentation Bella Specktor-Fadida Anna Levchakov Dana Schonberger L. Ben‐Sira D. Ben Bashat Leo Joskowicz 62 0 0 21 Aug 2023
Uncertainty-based quality assurance of carotid artery wall segmentation in black-blood MRI Elina Thibeau-Sutre Dieuwertje Alblas Sophie Buurman Christoph Brune J. Wolterink 11 2 0 18 Aug 2023
Confidence Contours: Uncertainty-Aware Annotation for Medical Semantic Segmentation Andre Ye Quan Ze Chen Amy X. Zhang UQCV 38 1 0 15 Aug 2023
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation Jadie Adams Shireen Y. Elhabian UQCV 21 5 0 15 Aug 2023
How inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation Parinaz Roshanzamir H. Rivaz Joshua Ahn Hamza Mirza Neda Naghdi Meagan Anstruther M. C. Battié M. Fortin Yiming Xiao 22 3 0 14 Aug 2023
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning Lihe Yang Zhen Zhao Lei Qi Yu Qiao Yinghuan Shi Hengshuang Zhao 19 15 0 13 Aug 2023
Uncertainty Quantification for Image-based Traffic Prediction across Cities Alexander Timans Nina Wiedemann Nishant Kumar Ye Hong Martin Raubal 20 1 0 11 Aug 2023
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging M. Valiuddin Christiaan G. A. Viviers R. V. Sloun Peter H. N. de With Fons van der Sommen UQCV 39 2 0 31 Jul 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
TriadNet: Sampling-free predictive intervals for lesional volume in 3D brain MR images Benjamin Lambert Florence Forbes Senan Doyle M. Dojat MedIm 37 4 0 28 Jul 2023
Online Continual Learning for Robust Indoor Object Recognition Umberto Michieli Mete Ozay 33 9 0 19 Jul 2023
Boundary-weighted logit consistency improves calibration of segmentation networks Neerav Karani Neel Dey Polina Golland 27 3 0 16 Jul 2023
Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models Yuheng Huang Jiayang Song Zhijie Wang Shengming Zhao Huaming Chen Felix Juefei-Xu Lei Ma 33 6 0 16 Jul 2023
Direct segmentation of brain white matter tracts in diffusion MRI Hamza Kebiri Ali Gholipour Meritxell Bach Cuadra Davood Karimi MedIm 22 3 0 05 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 38 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 45 2 0 03 Jul 2023
ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models Uddeshya Upadhyay Shyamgopal Karthik Massimiliano Mancini Zeynep Akata MLLM VLM 28 4 0 01 Jul 2023
Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks Qingqiao Hu Hao Wang Jing Luo Yuan Luo Z. Zhangg Jan S. Kirschke Benedikt Wiestler Bjoern H. Menze Jianguo Zhang Hongwei Bran Li UQCV 15 2 0 28 Jun 2023
Evaluation of machine learning architectures on the quantification of epistemic and aleatoric uncertainties in complex dynamical systems Stephen Guth A. Mojahed T. Sapsis AI4CE 33 2 0 27 Jun 2023
Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models Qinhong Zhou Zonghan Yang Peng Li Yang Liu 42 3 0 15 Jun 2023
Topology-Aware Uncertainty for Image Segmentation Saumya Gupta Yikai Zhang Xiaoling Hu Prateek Prasanna Chao Chen 30 27 0 09 Jun 2023
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation Zeju Li Konstantinos Kamnitsas Qi Dou C. Qin Ben Glocker 21 6 0 30 May 2023
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution Vikrant Rangnekar Uddeshya Upadhyay Zeynep Akata Biplab Banerjee 42 4 0 27 May 2023
Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation B. Kim Jose Dolz Pierre-Marc Jodoin Christian Desrosiers 27 0 0 23 May 2023
Effect of latent space distribution on the segmentation of images with multiple annotations Ishaan Bhat J. Pluim M. Viergever Hugo J. Kuijf 9 6 0 26 Apr 2023
Multi-view Vision-Prompt Fusion Network: Can 2D Pre-trained Model Boost 3D Point Cloud Data-scarce Learning? Hao Peng Baopu Li Bo Zhang Xin Chen Tao Chen Erik Cambria 3DPC 34 1 0 20 Apr 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 32 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 23 1 0 10 Apr 2023
Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification Meng Wang Tian Lin Lianyu Wang Aidi Lin K. Zou ... Yong-Jin Liu C. Pang Xinjian Chen Haoyu Chen Huazhu Fu 111 35 0 08 Apr 2023
TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation Devavrat Tomar Guillaume Vray Behzad Bozorgtabar Jean-Philippe Thiran TTA 33 33 0 17 Mar 2023
Delay-SDE-net: A deep learning approach for time series modelling with memory and uncertainty estimates M. Eggen A. Midtfjord 29 2 0 14 Mar 2023