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1806.05034
Cited By
A Probabilistic U-Net for Segmentation of Ambiguous Images
13 June 2018
Simon A. A. Kohl
Bernardino Romera-Paredes
Clemens Meyer
J. Fauw
J. Ledsam
Klaus H. Maier-Hein
S. M. Ali Eslami
Danilo Jimenez Rezende
Olaf Ronneberger
UQCV
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Papers citing
"A Probabilistic U-Net for Segmentation of Ambiguous Images"
50 / 77 papers shown
Title
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GAUDA: Generative Adaptive Uncertainty-guided Diffusion-based Augmentation for Surgical Segmentation
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A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
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Fons van der Sommen
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25 Nov 2024
A deep neural network framework for dynamic multi-valued mapping estimation and its applications
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Di Qiu
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29 Jun 2024
PULASki: Learning inter-rater variability using statistical distances to improve probabilistic segmentation
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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
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30 Oct 2023
Application-driven Validation of Posteriors in Inverse Problems
T. Adler
Jan-Hinrich Nolke
Annika Reinke
M. Tizabi
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...
Lynton Ardizzone
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Lena Maier-Hein
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18 Sep 2023
Learning to Segment from Noisy Annotations: A Spatial Correction Approach
Jiacheng Yao
Yikai Zhang
Songzhu Zheng
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21 Jul 2023
Boundary-weighted logit consistency improves calibration of segmentation networks
Neerav Karani
Neel Dey
Polina Golland
17
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16 Jul 2023
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models
Tomer Amit
Shmuel Shichrur
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Lior Wolf
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DiffM
32
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15 Jun 2023
Topology-Aware Uncertainty for Image Segmentation
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Chao Chen
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09 Jun 2023
Adaptive Modeling of Uncertainties for Traffic Forecasting
Ying Wu
Yongchao Ye
Adnan Zeb
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16 Mar 2023
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Zu-Yun Shiau
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Yu-Chiang Frank Wang
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2
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19 Feb 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging
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Xuedong Yuan
Xiaojing Shen
Meng Wang
H. Fu
UQCV
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GAN-Based Object Removal in High-Resolution Satellite Images
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S. Simske
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24 Jan 2023
ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation
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Xiahai Zhuang
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12 Jan 2023
Learning Confident Classifiers in the Presence of Label Noise
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Nikita Kotelevskii
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Maxim Panov
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NoLa
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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
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01 Dec 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
A. Kazerouni
Ehsan Khodapanah Aghdam
Moein Heidari
Reza Azad
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I. Hacihaliloglu
Dorit Merhof
DiffM
MedIm
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357
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14 Nov 2022
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty
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24
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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
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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
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11 Oct 2022
Towards Learned Simulators for Cell Migration
Koen Minartz
Y. Poels
Vlado Menkovski
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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
11
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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
19
13
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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
14
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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
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05 Aug 2022
Uncertainty-Driven Action Quality Assessment
Caixia Zhou
Yaping Huang
16
10
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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
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22 Jul 2022
Uncertainty Inspired Underwater Image Enhancement
Zhenqi Fu
Wu Wang
Yue Huang
Xinghao Ding
K. Ma
15
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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
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Jacqueline Matthew
Bernhard Kainz
Daniel Rueckert
Joseph V. Hajnal
J. Schnabel
22
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
21
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0
27 Jun 2022
Learning Probabilistic Topological Representations Using Discrete Morse Theory
Xiaoling Hu
Dimitris Samaras
Chao Chen
16
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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
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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
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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
19
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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
27
8
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21 Jan 2022
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction
Jing Zhang
Jianwen Xie
Nick Barnes
Ping Li
ViT
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On the relationship between calibrated predictors and unbiased volume estimation
Teodora Popordanoska
J. Bertels
Dirk Vandermeulen
F. Maes
Matthew B. Blaschko
36
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
25
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Diffusion Models for Implicit Image Segmentation Ensembles
J. Wolleb
Robin Sandkühler
Florentin Bieder
Philippe Valmaggia
Philippe C. Cattin
DiffM
MedIm
VLM
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A General Divergence Modeling Strategy for Salient Object Detection
Xinyu Tian
Jing Zhang
Yuchao Dai
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Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation
Huimin Wu
X. Li
Kwang-Ting Cheng
28
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22 Nov 2021
A Variational U-Net for Weather Forecasting
Pak Hay Kwok
Qi Qi
13
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05 Nov 2021
Anatomical and Diagnostic Bayesian Segmentation in Prostate MRI
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Should Different Clinical Objectives Mandate Different Loss Functions?
A. Saha
Shengcai Liu
J. Linmans
M. Hosseinzadeh
Ke Tang
23
8
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25 Oct 2021
Robustness via Uncertainty-aware Cycle Consistency
Uddeshya Upadhyay
Yanbei Chen
Zeynep Akata
22
21
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24 Oct 2021
Using Soft Labels to Model Uncertainty in Medical Image Segmentation
Joao Lourencco Silva
Arlindo L. Oliveira
UQCV
16
19
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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
10
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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
28
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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
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