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"

50 / 79 papers shown

Title
RestoreGrad: Signal Restoration Using Conditional Denoising Diffusion Models with Jointly Learned Prior Ching Hua Lee Chouchang Yang Jaejin Cho Yashas Malur Saidutta R. S. Srinivasa Yilin Shen Hongxia Jin DiffM 85 0 0 19 Feb 2025
GAUDA: Generative Adaptive Uncertainty-guided Diffusion-based Augmentation for Surgical Segmentation Yannik Frisch Christina Bornberg Moritz Fuchs Anirban Mukhopadhyay MedIm 30 0 0 18 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 89 1 0 25 Nov 2024
A deep neural network framework for dynamic multi-valued mapping estimation and its applications Geng Li Di Qiu L. Lui 25 0 0 29 Jun 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 38 5 0 04 Mar 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
Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI F. Terhag P. Knechtges A. Basermann R. Tempone 23 1 0 30 Oct 2023
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 35 20 0 09 Oct 2023
Application-driven Validation of Posteriors in Inverse Problems T. Adler Jan-Hinrich Nolke Annika Reinke M. Tizabi Sebastian Gruber ... Lynton Ardizzone Paul F. Jaeger Florian Buettner Ullrich Kothe Lena Maier-Hein MedIm 35 1 0 18 Sep 2023
Learning to Segment from Noisy Annotations: A Spatial Correction Approach Jiacheng Yao Yikai Zhang Songzhu Zheng Mayank Goswami Prateek Prasanna Chao Chen 35 15 0 21 Jul 2023
Boundary-weighted logit consistency improves calibration of segmentation networks Neerav Karani Neel Dey Polina Golland 17 3 0 16 Jul 2023
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models Tomer Amit Shmuel Shichrur Tal Shaharabany Lior Wolf MedIm DiffM 35 10 0 15 Jun 2023
Topology-Aware Uncertainty for Image Segmentation Saumya Gupta Yikai Zhang Xiaoling Hu Prateek Prasanna Chao Chen 28 27 0 09 Jun 2023
Adaptive Modeling of Uncertainties for Traffic Forecasting Ying Wu Yongchao Ye Adnan Zeb James J. Q. Yu Z. Wang AI4TS 24 7 0 16 Mar 2023
TAX: Tendency-and-Assignment Explainer for Semantic Segmentation with Multi-Annotators Yuan-Chia Cheng Zu-Yun Shiau Fu-En Yang Yu-Chiang Frank Wang 37 2 0 19 Feb 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging K. Zou Zhihao Chen Xuedong Yuan Xiaojing Shen Meng Wang H. Fu UQCV 43 85 0 16 Feb 2023
GAN-Based Object Removal in High-Resolution Satellite Images Hadi Mansourifar S. Simske GAN 16 3 0 24 Jan 2023
ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation Kecheng Zhang Xiahai Zhuang 19 8 0 12 Jan 2023
Learning Confident Classifiers in the Presence of Label Noise Asma Ahmed Hashmi Aigerim Zhumabayeva Nikita Kotelevskii A. Agafonov Mohammad Yaqub Maxim Panov Martin Takávc NoLa 58 2 0 02 Jan 2023
Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters Junde Wu Huihui Fang Yehui Yang Yuanpei Liu Jing Gao Lixin Duan Weihua Yang Yanwu Xu 16 2 0 01 Dec 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey A. Kazerouni Ehsan Khodapanah Aghdam Moein Heidari Reza Azad Mohsen Fayyaz I. Hacihaliloglu Dorit Merhof DiffM MedIm 40 357 0 14 Nov 2022
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty J. Bertels D. Robben Dirk Vandermeulen P. Suetens 24 19 0 08 Nov 2022
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation Xutao Guo Yanwu Yang Chenfei Ye Shangfeng Lu Yang Xiang Tingxia Ma MedIm DiffM 36 32 0 27 Oct 2022
3D Matting: A Benchmark Study on Soft Segmentation Method for Pulmonary Nodules Applied in Computed Tomography Lin Wang Xiufen Ye Donghao Zhang Wanji He Lie Ju ... Xin Wang Wei Feng Kaimin Song Xin Zhao Z. Ge 3DV 27 1 0 11 Oct 2022
Towards Learned Simulators for Cell Migration Koen Minartz Y. Poels Vlado Menkovski 29 1 0 02 Oct 2022
End-to-End Label Uncertainty Modeling in Speech Emotion Recognition using Bayesian Neural Networks and Label Distribution Learning N. Prabhu N. Lehmann-Willenbrock Timo Gerkmann UQCV 13 6 0 30 Sep 2022
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation Chen Liu Matthew Amodio Liangbo L. Shen Feng Gao A. Avesta S. Aneja Jay C. Wang L. V. Priore Smita Krishnaswamy OOD MedIm 22 13 0 23 Sep 2022
3D Matting: A Soft Segmentation Method Applied in Computed Tomography Lin Wang Xiufen Ye Donghao Zhang Wanji He Lie Ju Xin Wang Wei Feng Kaimin Song Xin Zhao Z. Ge 3DV 16 0 0 16 Sep 2022
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principle Junde Wu Huihui Fang Hoayi Xiong Lixin Duan Mingkui Tan Weihua Yang Huiying Liu Yanwu Xu MedIm 41 1 0 05 Aug 2022
Uncertainty-Driven Action Quality Assessment Caixia Zhou Yaping Huang 16 10 0 29 Jul 2022
Uncertainty-aware Multi-modal Learning via Cross-modal Random Network Prediction Hu Wang Jianpeng Zhang Yuanhong Chen Congbo Ma Jodie Avery Louise Hull G. Carneiro UQCV 14 18 0 22 Jul 2022
Uncertainty Inspired Underwater Image Enhancement Zhenqi Fu Wu Wang Yue Huang Xinghao Ding K. Ma 17 129 0 20 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
Distributional Gaussian Processes Layers for Out-of-Distribution Detection S. Popescu D. Sharp James H. Cole Konstantinos Kamnitsas Ben Glocker OOD 23 0 0 27 Jun 2022
Learning Probabilistic Topological Representations Using Discrete Morse Theory Xiaoling Hu Dimitris Samaras Chao Chen 16 20 0 03 Jun 2022
Invisible-to-Visible: Privacy-Aware Human Segmentation using Airborne Ultrasound via Collaborative Learning Probabilistic U-Net Risako Tanigawa Yasunori Ishii Kazuki Kozuka Takayoshi Yamashita 22 1 0 11 May 2022
Learning the Effect of Registration Hyperparameters with HyperMorph Andrew Hoopes Malte Hoffmann Douglas N. Greve Bruce Fischl John Guttag Adrian V. Dalca 28 38 0 30 Mar 2022
Transframer: Arbitrary Frame Prediction with Generative Models C. Nash João Carreira Jacob Walker Iain Barr Andrew Jaegle Mateusz Malinowski Peter W. Battaglia ViT 24 37 0 17 Mar 2022
Contrastive and Selective Hidden Embeddings for Medical Image Segmentation Zhuowei Li Zihao Liu Zhiqiang Hu Qing Xia Ruiqin Xiong Shaoting Zhang Dimitris N. Metaxas Tingting Jiang SSL 29 8 0 21 Jan 2022
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction Jing Zhang Jianwen Xie Nick Barnes Ping Li ViT 35 90 0 27 Dec 2021
On the relationship between calibrated predictors and unbiased volume estimation Teodora Popordanoska J. Bertels Dirk Vandermeulen F. Maes Matthew B. Blaschko 39 11 0 23 Dec 2021
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels Sun-Beom Hong A. Bonkhoff Andrew Hoopes Martin Bretzner M. Schirmer A. Giese Adrian V. Dalca Polina Golland N. Rost UQCV 27 7 0 13 Dec 2021
Diffusion Models for Implicit Image Segmentation Ensembles J. Wolleb Robin Sandkühler Florentin Bieder Philippe Valmaggia Philippe C. Cattin DiffM MedIm VLM 12 267 0 06 Dec 2021
A General Divergence Modeling Strategy for Salient Object Detection Xinyu Tian Jing Zhang Yuchao Dai 25 0 0 23 Nov 2021
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation Huimin Wu X. Li Kwang-Ting Cheng 28 13 0 22 Nov 2021
A Variational U-Net for Weather Forecasting Pak Hay Kwok Qi Qi 15 4 0 05 Nov 2021
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 23 8 0 25 Oct 2021
Robustness via Uncertainty-aware Cycle Consistency Uddeshya Upadhyay Yanbei Chen Zeynep Akata 22 21 0 24 Oct 2021
Using Soft Labels to Model Uncertainty in Medical Image Segmentation Joao Lourencco Silva Arlindo L. Oliveira UQCV 16 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