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Hypernet-Ensemble Learning of Segmentation Probability for Medical Image
  Segmentation with Ambiguous Labels

Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels

13 December 2021
Sun-Beom Hong
A. Bonkhoff
Andrew Hoopes
Martin Bretzner
M. Schirmer
A. Giese
Adrian V. Dalca
Polina Golland
N. Rost
    UQCV
ArXivPDFHTML

Papers citing "Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous Labels"

6 / 6 papers shown
Title
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
28
11
0
24 Jan 2024
Boundary-weighted logit consistency improves calibration of segmentation
  networks
Boundary-weighted logit consistency improves calibration of segmentation networks
Neerav Karani
Neel Dey
Polina Golland
17
3
0
16 Jul 2023
Dynamic Linear Transformer for 3D Biomedical Image Segmentation
Dynamic Linear Transformer for 3D Biomedical Image Segmentation
Zheyu Zhang
Ulas Bagci
ViT
MedIm
17
12
0
01 Jun 2022
HyperMorph: Amortized Hyperparameter Learning for Image Registration
HyperMorph: Amortized Hyperparameter Learning for Image Registration
Andrew Hoopes
Malte Hoffmann
Bruce Fischl
John Guttag
Adrian V. Dalca
32
128
0
04 Jan 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
264
10,348
0
12 Dec 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
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