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Improving Aleatoric Uncertainty Quantification in Multi-Annotated
  Medical Image Segmentation with Normalizing Flows
v1v2 (latest)

Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing Flows

4 August 2021
M. Valiuddin
Christiaan Viviers
R. V. Sloun
Peter H. N. de With
Fons van der Sommen
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing Flows"

11 / 11 papers shown
Flow Stochastic Segmentation Networks
Flow Stochastic Segmentation Networks
Fabio De Sousa Ribeiro
Omar Todd
Charles Jones
Avinash Kori
Raghav Mehta
Ben Glocker
278
2
0
24 Jul 2025
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
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
1.2K
7
0
25 Nov 2024
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical
  Resectability Prediction of Pancreatic Ductal Adenocarcinoma
Segmentation-based Assessment of Tumor-Vessel Involvement for Surgical Resectability Prediction of Pancreatic Ductal Adenocarcinoma
Christiaan Viviers
Mark Ramaekers
Amaan Valiuddin
Terese A. E. Hellström
Nick Tasios
...
Lotte J. S. Ewals
Joost Nederend
Peter H. N. de With
M. Luyer
Fons van der Sommen
426
7
0
01 Oct 2023
Investigating and Improving Latent Density Segmentation Models for
  Aleatoric Uncertainty Quantification in Medical Imaging
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical ImagingIEEE Transactions on Medical Imaging (TMI), 2023
M. Valiuddin
Christiaan Viviers
R. V. Sloun
Peter H. N. de With
Fons van der Sommen
UQCV
574
4
0
31 Jul 2023
Probabilistic 3D segmentation for aleatoric uncertainty quantification
  in full 3D medical data
Probabilistic 3D segmentation for aleatoric uncertainty quantification in full 3D medical data
Christiaan Viviers
Amaan Valiuddin
Peter H. N. de With
Fons van der Sommen
334
7
0
01 May 2023
The Treasure Beneath Multiple Annotations: An Uncertainty-aware Edge
  Detector
The Treasure Beneath Multiple Annotations: An Uncertainty-aware Edge DetectorComputer Vision and Pattern Recognition (CVPR), 2023
Caixia Zhou
Yaping Huang
Mengyang Pu
Q. Guan
Li Huang
Haibin Ling
UQCV
215
70
0
21 Mar 2023
Stochastic Segmentation with Conditional Categorical Diffusion Models
Stochastic Segmentation with Conditional Categorical Diffusion ModelsIEEE International Conference on Computer Vision (ICCV), 2023
L. Zbinden
Lars Doorenbos
Theodoros Pissas
Adrian Thomas Huber
Raphael Sznitman
Pablo Márquez-Neila
DiffM
512
55
0
15 Mar 2023
Likelihood Annealing: Fast Calibrated Uncertainty for Regression
Likelihood Annealing: Fast Calibrated Uncertainty for Regression
Uddeshya Upadhyay
Jae Myung Kim
Cordelia Schmidt
Bernhard Schölkopf
Zeynep Akata
BDLUQCV
468
2
0
21 Feb 2023
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture
  of Stochastic Experts
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic ExpertsInternational Conference on Learning Representations (ICLR), 2022
Zhitong Gao
Yucong Chen
Chuyu Zhang
Xuming He
UQCV
278
13
0
14 Dec 2022
Trustworthy clinical AI solutions: a unified review of uncertainty
  quantification in deep learning models for medical image analysis
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Benjamin Lambert
Florence Forbes
A. Tucholka
Senan Doyle
Harmonie Dehaene
M. Dojat
299
184
0
05 Oct 2022
Generalized Probabilistic U-Net for medical image segementation
Generalized Probabilistic U-Net for medical image segementation
Ishaan Bhat
J. Pluim
Hugo J. Kuijf
OOD
277
16
0
26 Jul 2022
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