A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities

A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities

30 May 2019

Simon A. A. Kohl

Bernardino Romera-Paredes

Klaus H. Maier-Hein

Danilo Jimenez Rezende

S. M. Ali Eslami

Andrew Zisserman

Olaf Ronneberger

Papers citing "A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities"

16 / 16 papers shown

Title
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
Single-Channel Speech Enhancement with Deep Complex U-Networks and Probabilistic Latent Space Models E. J. Nustede Jörn Anemüller 21 3 0 04 Sep 2023
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs Fabian Falck Christopher Williams D. Danks George Deligiannidis C. Yau Chris Holmes Arnaud Doucet M. Willetts 18 8 0 19 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
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 29 1 0 11 Oct 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 24 0 0 16 Sep 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 19 18 0 22 Jul 2022
Uncertainty Inspired Underwater Image Enhancement Zhenqi Fu Wu Wang Yue Huang Xinghao Ding K. Ma 20 129 0 20 Jul 2022
Transframer: Arbitrary Frame Prediction with Generative Models C. Nash João Carreira Jacob Walker Iain Barr Andrew Jaegle Mateusz Malinowski Peter W. Battaglia ViT 27 37 0 17 Mar 2022
Variational Inference for Quantifying Inter-observer Variability in Segmentation of Anatomical Structures Xiaofeng Liu Fangxu Xing Thibault Marin G. El Fakhri Jonghye Woo 36 5 0 18 Jan 2022
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 30 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 15 267 0 06 Dec 2021
Using Soft Labels to Model Uncertainty in Medical Image Segmentation Joao Lourencco Silva Arlindo L. Oliveira UQCV 21 19 0 26 Sep 2021
Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving Xuanchi Ren Tao Yang Erran L. Li Alexandre Alahi Qifeng Chen 30 24 0 03 Sep 2021
Detection, growth quantification and malignancy prediction of pulmonary nodules using deep convolutional networks in follow-up CT scans Xavier Rafael-Palou A. Aubanell M. Ceresa Vicent J. Ribas Gemma Piella M. A. G. Ballester MedIm 13 3 0 26 Mar 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016