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"

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Title
Disentangling Uncertainty in Machine Translation Evaluation Chrysoula Zerva T. Glushkova Ricardo Rei André F.T. Martins UD UQCV 40 9 0 13 Apr 2022
Uncertainty-Informed Deep Learning Models Enable High-Confidence Predictions for Digital Histopathology J. Dolezal Andrew Srisuwananukorn D. Karpeyev S. Ramesh S. Kochanny ... Jefree J. Schulte E. Vokes M. Garassino A. Husain A. Pearson OOD 32 96 0 09 Apr 2022
Federated Cross Learning for Medical Image Segmentation Xuanang Xu H. Deng Tianyi Chen Tianshu Kuang J. C. Barber Daeseung Kim J. Gateno J. Xia Pingkun Yan FedML OOD 35 17 0 05 Apr 2022
MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images A. Diaz-Pinto Sachidanand Alle V. Nath Yucheng Tang Alvin Ihsani ... Daguang Xu Prerna Dogra Sebastien Ourselin Andrew Feng M. Jorge Cardoso 27 71 0 23 Mar 2022
Uncertainty categories in medical image segmentation: a study of source-related diversity Luke Whitbread M. Jenkinson UD UQCV 36 3 0 01 Mar 2022
Less is More: Surgical Phase Recognition from Timestamp Supervision Xinpeng Ding Xinjian Yan Zixun Wang Wei-Ye Zhao Jian Zhuang Xiaowei Xu Xiaomeng Li MedIm 35 14 0 16 Feb 2022
Label fusion and training methods for reliable representation of inter-rater uncertainty A. Lemay C. Gros Enamundram Naga Karthik Julien Cohen-Adad 35 12 0 15 Feb 2022
SoftDropConnect (SDC) -- Effective and Efficient Quantification of the Network Uncertainty in Deep MR Image Analysis Qing Lyu C. Whitlow Ge Wang UQCV BDL 18 1 0 20 Jan 2022
Generalized Wasserstein Dice Loss, Test-time Augmentation, and Transformers for the BraTS 2021 challenge Lucas Fidon Suprosanna Shit Ivan Ezhov Johannes C. Paetzold Sébastien Ourselin Tom Kamiel Magda Vercauteren ViT MedIm 38 8 0 24 Dec 2021
Generalisation effects of predictive uncertainty estimation in deep learning for digital pathology Milda Pocevičiūtė Gabriel Eilertsen Sofia Jarkman Claes Lundström OOD UQCV 33 24 0 17 Dec 2021
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 24 267 0 06 Dec 2021
Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding Deze Wang Zhouyang Jia Shanshan Li Yue Yu Yun Xiong Wei Dong Xiangke Liao 38 80 0 04 Dec 2021
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations Antonio Pepe Jan Egger M. Codari M. Willemink Christina Schwarz-Gsaxner Jianning Li P. Roth G. Mistelbauer Dieter Schmalstieg D. Fleischmann 6 8 0 22 Nov 2021
Deep-learning in the bioimaging wild: Handling ambiguous data with deepflash2 M. Griebel Dennis Segebarth N. Stein Nina Schukraft P. Tovote R. Blum C. Flath MedIm 25 2 0 12 Nov 2021
Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection Max Torop S. Ghimire Wenqian Liu Dana H. Brooks Mario Sznaier M. Rajadhyaksha Jennifer Dy Kivanc Kose 36 0 0 08 Nov 2021
Partial supervision for the FeTA challenge 2021 Lucas Fidon Michael Aertsen Suprosanna Shit P. Demaerel Sébastien Ourselin Jan Deprest Tom Kamiel Magda Vercauteren 31 6 0 03 Nov 2021
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications Xinlei Zhou Han Liu Farhad Pourpanah T. Zeng Xizhao Wang UQCV UD 29 58 0 03 Nov 2021
Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation Seffi Cohen Niv Goldshlager Lior Rokach Bracha Shapira 28 9 0 29 Oct 2021
Collaborative Uncertainty in Multi-Agent Trajectory Forecasting Bohan Tang Yiqi Zhong Ulrich Neumann G. Wang Ya Zhang Siheng Chen 13 24 0 26 Oct 2021
Robustness via Uncertainty-aware Cycle Consistency Uddeshya Upadhyay Yanbei Chen Zeynep Akata 28 21 0 24 Oct 2021
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation Yinghuan Shi Jian Zhang T. Ling Jiwen Lu Yefeng Zheng Qian Yu Lei Qi Yang Gao UQCV 17 144 0 17 Oct 2021
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement Uddeshya Upadhyay Viswanath P. Sudarshan Suyash P. Awate MedIm 49 21 0 07 Oct 2021
CertainNet: Sampling-free Uncertainty Estimation for Object Detection Stefano Gasperini Johannes Haug M. N. Mahani Alvaro Marcos-Ramiro Nassir Navab Benjamin Busam F. Tombari UQCV 23 24 0 04 Oct 2021
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense Attention Guotai Wang Shuwei Zhai G. Lasio Baoshe Zhang B. Yi Shifeng Chen T. MacVittie Dimitris N. Metaxas Jinghao Zhou Shaoting Zhang MedIm 55 66 0 29 Sep 2021
Bayesian deep learning of affordances from RGB images Lorenzo Mur-Labadia Ruben Martinez-Cantin UQCV BDL 16 0 0 27 Sep 2021
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation Robin Camarasa D. Bos J. Hendrikse P. Nederkoorn D. Epidemiology D. Neurology Department of Computer Science UQCV 26 12 0 22 Sep 2021
Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark Localization Franz Thaler Christian Payer M. Urschler Darko Štern 39 10 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
Uncertainty-Based Dynamic Graph Neighborhoods For Medical Segmentation U. Demir Atahan Ozer Y. Sahin Gözde B. Ünal 22 3 0 06 Aug 2021
Uncertainty-Aware Credit Card Fraud Detection Using Deep Learning Maryam Habibpour Hassan Gharoun M. Mehdipour AmirReza Tajally Hamzeh Asgharnezhad Afshar Shamsi Jokandan Abbas Khosravi M. Shafie‐khah S. Nahavandi J. Catalão 33 45 0 28 Jul 2021
Towards Lower-Dose PET using Physics-Based Uncertainty-Aware Multimodal Learning with Robustness to Out-of-Distribution Data Viswanath P. Sudarshan Uddeshya Upadhyay Gary F. Egan Zhaolin Chen Suyash P. Awate OOD MedIm 14 40 0 21 Jul 2021
Challenges for machine learning in clinical translation of big data imaging studies Nicola K. Dinsdale Emma Bluemke V. Sundaresan M. Jenkinson Stephen Smith Ana I. L. Namburete AI4CE 47 41 0 07 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 61 1,111 0 07 Jul 2021
Uncertainty-Guided Progressive GANs for Medical Image Translation Uddeshya Upadhyay Yanbei Chen Tobias Hepp S. Gatidis Zeynep Akata MedIm 23 24 0 29 Jun 2021
Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers Stephanie Tsuei Aditya Golatkar Stefano Soatto UQCV 29 0 0 25 Jun 2021
Structured DropConnect for Uncertainty Inference in Image Classification Wenqing Zheng Jiyang Xie Weidong Liu Zhanyu Ma UQCV BDL 11 1 0 16 Jun 2021
Automatic CT Segmentation from Bounding Box Annotations using Convolutional Neural Networks Yuanpeng Liu Qinglei Hui Zhiyi Peng S. Gong D. Kong 26 4 0 29 May 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 18 574 0 27 May 2021
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion Model with Ensemble Monte Carlo Dropout for COVID-19 Detection Moloud Abdar Soorena Salari Sina Qahremani Fellow Ieee Hak-Keung Lam Fakhri Karray Ieee Sadiq Hussain Fellow Senior Member Ieee Abbas Khosravi S. M. I. U. Rajendra Acharya V. Makarenkov Australia. S. Nahavandi OOD 26 77 0 18 May 2021
Impact of individual rater style on deep learning uncertainty in medical imaging segmentation Olivier Vincent C. Gros Julien Cohen-Adad 37 10 0 05 May 2021
CUAB: Convolutional Uncertainty Attention Block Enhanced the Chest X-ray Image Analysis Chi-Shiang Wang Fang Su T. Lee Yi-Shan Tsai Jung-Hsien Chiang 6 3 0 05 May 2021
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation Nikhil Kumar Tomar Debesh Jha Michael A. Riegler Haavard D. Johansen Dag Johansen J. Rittscher P. Halvorsen Sharib Ali MedIm 20 148 0 31 Mar 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models Jialin Peng Ye Wang VLM 14 58 0 28 Feb 2021
Uncertainty-aware Generalized Adaptive CycleGAN Uddeshya Upadhyay Yanbei Chen Zeynep Akata 24 6 0 23 Feb 2021
Uncertainty-based method for improving poorly labeled segmentation datasets Ekaterina Redekop A. Chernyavskiy UQCV 19 10 0 16 Feb 2021
Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted Loss Wenhui Lei Haochen Mei Zhengwentai Sun Shan Ye Ran Gu Huan Wang Rui Huang Shichuan Zhang Shaoting Zhang Guotai Wang 8 32 0 03 Feb 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
Automatic Segmentation of Gross Target Volume of Nasopharynx Cancer using Ensemble of Multiscale Deep Neural Networks with Spatial Attention Haochen Mei Wenhui Lei Ran Gu Shan Ye Zhengwentai Sun Shichuan Zhang Guotai Wang 33 23 0 27 Jan 2021
Embedding-based Instance Segmentation in Microscopy Manan Lalit P. Tomančák Florian Jug 23 4 0 25 Jan 2021