A Probabilistic U-Net for Segmentation of Ambiguous Images

13 June 2018

Simon A. A. Kohl

Bernardino Romera-Paredes

Klaus H. Maier-Hein

Danilo Jimenez Rezende

Papers citing "A Probabilistic U-Net for Segmentation of Ambiguous Images"

36 / 86 papers shown

Title
Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI $-$ Should Different Clinical Objectives Mandate Different Loss Functions? A. Saha Shengcai Liu J. Linmans M. Hosseinzadeh Ke Tang 25 8 0 25 Oct 2021
Robustness via Uncertainty-aware Cycle Consistency Uddeshya Upadhyay Yanbei Chen Zeynep Akata 28 21 0 24 Oct 2021
Using Soft Labels to Model Uncertainty in Medical Image Segmentation Joao Lourencco Silva Arlindo L. Oliveira UQCV 24 19 0 26 Sep 2021
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction Tareen Dawood C. L. P. Chen R. Andlauer B. Sidhu B. Ruijsink ... Vishal S. Mehta C. Rinaldi Esther Puyol-Antón Reza Razavi A. King 15 2 0 22 Sep 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
Uncertainty Quantification in Medical Image Segmentation with Multi-decoder U-Net Yanwu Yang Xutao Guo Yiwei Pan P. Shi Haiyan Lv Tingxia Ma UQCV 27 8 0 15 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
Detecting when pre-trained nnU-Net models fail silently for Covid-19 lung lesion segmentation Camila González Karol Gotkowski A. Bucher Ricarda Fischbach Isabel Kaltenborn Anirban Mukhopadhyay 21 31 0 13 Jul 2021
Modality specific U-Net variants for biomedical image segmentation: A survey Narinder Singh Punn Sonali Agarwal SSeg 32 144 0 09 Jul 2021
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis Dwarikanath Mahapatra Ankur Singh 30 8 0 15 Jun 2021
Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation Chenxin Li Wenao Ma Liyan Sun Xinghao Ding Yue Huang Guisheng Wang Yizhou Yu 18 36 0 31 May 2021
Deep Time Series Forecasting with Shape and Temporal Criteria Vincent Le Guen Nicolas Thome AI4TS 32 27 0 09 Apr 2021
Is segmentation uncertainty useful? Steffen Czolbe K. Arnavaz Oswin Krause Aasa Feragen UQCV 20 43 0 30 Mar 2021
Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder Hu Fang Guillaume Carbajal S. Wermter Timo Gerkmann 36 59 0 17 Feb 2021
Towards speech enhancement using a variational U-Net architecture E. J. Nustede Jörn Anemüller 15 1 0 07 Dec 2020
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval Frederik Warburg Martin Jørgensen Javier Civera Søren Hauberg UQCV 27 36 0 25 Nov 2020
deep21: a Deep Learning Method for 21cm Foreground Removal T. Lucas Makinen Lachlan Lancaster F. Villaescusa-Navarro Peter Melchior S. Ho Laurence Perreault Levasseur D. Spergel 3DPC 22 28 0 29 Oct 2020
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment Florin-Cristian Ghesu Bogdan Georgescu Awais Mansoor Y. Yoo Eli Gibson ... Ramandeep Singh S. Digumarthy M. Kalra Sasa Grbic Dorin Comaniciu UQCV EDL 23 55 0 08 Jul 2020
A review of radar-based nowcasting of precipitation and applicable machine learning techniques R. Prudden Samantha V. Adams D. Kangin Nial H. Robinson Suman V. Ravuri S. Mohamed A. Arribas AI4Cl OffRL 43 45 0 11 May 2020
Conditional Variational Image Deraining Yingjun Du Jun Xu Xiantong Zhen Ming-Ming Cheng Ling Shao 23 76 0 23 Apr 2020
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders Jing Zhang Deng-Ping Fan Yuchao Dai Saeed Anwar F. Saleh Tong Zhang Nick Barnes UQCV 24 319 0 13 Apr 2020
Automated Detection of Cribriform Growth Patterns in Prostate Histology Images P. Ambrosini E. Hollemans C. Kweldam G. Leenders S. Stallinga F. Vos MedIm 23 26 0 23 Mar 2020
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation Alireza Mehrtash W. Wells C. Tempany Purang Abolmaesumi Tina Kapur OOD FedML UQCV 24 262 0 29 Nov 2019
Give me (un)certainty -- An exploration of parameters that affect segmentation uncertainty K. Hoebel Ken Chang J. Patel Praveer Singh Jayashree Kalpathy-Cramer UQCV 22 7 0 14 Nov 2019
Radiomic Feature Stability Analysis based on Probabilistic Segmentations Christoph Haarburger Justus Schock Daniel Truhn Philippe Weitz Gustav Mueller-Franzes Leon Weninger Dorit Merhof 13 8 0 13 Oct 2019
BIAS: Transparent reporting of biomedical image analysis challenges Lena Maier-Hein Annika Reinke Michal Kozubek Anne L. Martel Tal Arbel ... Sinan Onogur Julio Saez-Rodriguez Bram van Ginneken A. Kopp-Schneider Bennett Landman 18 103 0 09 Oct 2019
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology J. Clough Nicholas Byrne Ilkay Oksuz Zhenzhong Lan Julia A. Schnabel A. King 28 218 0 04 Oct 2019
Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers Samuel Budd Matthew Sinclair Bishesh Khanal Jacqueline Matthew D. Lloyd A. Gómez N. Toussaint E. C. Robinson Bernhard Kainz 23 33 0 07 Aug 2019
Probabilistic Residual Learning for Aleatoric Uncertainty in Image Restoration Chen Zhang Bangti Jin UQCV 22 12 0 01 Aug 2019
Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images C. L. P. Chen C. Biffi G. Tarroni S. Petersen Wenjia Bai Daniel Rueckert 26 52 0 23 Jul 2019
Supervised Uncertainty Quantification for Segmentation with Multiple Annotations Shi Hu Daniel E. Worrall Stefan Knegt Bastiaan S. Veeling Henkjan Huisman Max Welling UQCV 11 94 0 03 Jul 2019
Generating and Exploiting Probabilistic Monocular Depth Estimates Zhihao Xia Patrick Sullivan Ayan Chakrabarti UQCV VLM MDE 22 34 0 13 Jun 2019
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities Simon A. A. Kohl Bernardino Romera-Paredes Klaus H. Maier-Hein Danilo Jimenez Rezende S. M. Ali Eslami Pushmeet Kohli Andrew Zisserman Olaf Ronneberger BDL 27 88 0 30 May 2019
Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion Ryutaro Tanno A. Saeedi S. Sankaranarayanan Daniel C. Alexander N. Silberman NoLa 27 228 0 10 Feb 2019
Direct Uncertainty Prediction for Medical Second Opinions M. Raghu Katy Blumer Rory Sayres Ziad Obermeyer Robert D. Kleinberg S. Mullainathan Jon M. Kleinberg OOD UD 24 135 0 04 Jul 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016