ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2306.16556
  4. Cited By
Inter-Rater Uncertainty Quantification in Medical Image Segmentation via
  Rater-Specific Bayesian Neural Networks

Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks

28 June 2023
Qingqiao Hu
Hao Wang
Jing Luo
Yuan Luo
Z. Zhangg
Jan S. Kirschke
Benedikt Wiestler
Bjoern H. Menze
Jianguo Zhang
Hongwei Bran Li
    UQCV
ArXivPDFHTML

Papers citing "Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks"

3 / 3 papers shown
Title
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
93
1
0
25 Nov 2024
Tyche: Stochastic In-Context Learning for Medical Image Segmentation
Tyche: Stochastic In-Context Learning for Medical Image Segmentation
Marianne Rakic
Hallee E. Wong
Jose Javier Gonzalez Ortiz
Beth Cimini
John Guttag
Adrian V. Dalca
36
11
0
24 Jan 2024
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,156
0
06 Jun 2015
1