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Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for
  Personalized Musculoskeletal Modeling

Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalized Musculoskeletal Modeling

21 July 2019
Yuta Hiasa
Y. Otake
Masaki Takao
Takeshi Ogawa
Nobuhiko Sugano
Yoshinobu Sato
ArXivPDFHTML

Papers citing "Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalized Musculoskeletal Modeling"

8 / 8 papers shown
Title
Automatic hip osteoarthritis grading with uncertainty estimation from
  computed tomography using digitally-reconstructed radiographs
Automatic hip osteoarthritis grading with uncertainty estimation from computed tomography using digitally-reconstructed radiographs
Masachika Masuda
Mazen Soufi
Yoshito Otake
Keisuke Uemura
Sotaro Kono
...
Yi Gu
Masaki Takao
Seiji Okada
Nobuhiko Sugano
Yoshinobu Sato
OOD
21
5
0
30 Dec 2023
Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in
  Musculoskeletal Segmentation of Lower Extremities
Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in Musculoskeletal Segmentation of Lower Extremities
Ganping Li
Yoshito Otake
Mazen Soufi
M. Taniguchi
Masahide Yagi
N. Ichihashi
Keisuke Uemura
Masaki Takao
Nobuhiko Sugano
Yoshinobu Sato
24
3
0
26 Jul 2023
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation
A. Vasiliuk
Daria Frolova
Mikhail Belyaev
B. Shirokikh
26
2
0
01 Nov 2022
Modality specific U-Net variants for biomedical image segmentation: A
  survey
Modality specific U-Net variants for biomedical image segmentation: A survey
Narinder Singh Punn
Sonali Agarwal
SSeg
24
144
0
09 Jul 2021
Probabilistic Spatial Analysis in Quantitative Microscopy with
  Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density
  Maps
Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps
Alvaro Gomariz
Tiziano Portenier
C. Nombela-Arrieta
O. Goksel
UQCV
11
6
0
23 Feb 2021
U-Net and its variants for medical image segmentation: theory and
  applications
U-Net and its variants for medical image segmentation: theory and applications
N. Siddique
Sidike Paheding
Colin P. Elkin
Vijay Devabhaktuni
SSeg
21
1,040
0
02 Nov 2020
Active Learning for Segmentation Based on Bayesian Sample Queries
Active Learning for Segmentation Based on Bayesian Sample Queries
Firat Özdemir
Z. Peng
Philipp Fürnstahl
C. Tanner
O. Goksel
22
22
0
22 Dec 2019
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
261
9,136
0
06 Jun 2015
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