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Bayesian Logistic Shape Model Inference: application to cochlea image segmentation

Bayesian Logistic Shape Model Inference: application to cochlea image segmentation

Zihao Wang
T. Demarcy
C. Vandersteen
D. Gnansia
C. Raffaelli
N. Guevara
H. Delingette
ArXiv (abs)PDFHTML

Papers citing "Bayesian Logistic Shape Model Inference: application to cochlea image segmentation"

2 / 2 papers shown
Title
A Deep Learning based Fast Signed Distance Map Generation
A Deep Learning based Fast Signed Distance Map Generation
Zihao Wang
C. Vandersteen
T. Demarcy
D. Gnansia
C. Raffaelli
N. Guevara
H. Delingette
MedIm
43
4
0
26 May 2020
A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning
A Modality-Adaptive Method for Segmenting Brain Tumors and Organs-at-Risk in Radiation Therapy Planning
Mikael Agn
P. Rosenschöld
Oula Puonti
M. Lundemann
L. Mancini
A. Papadaki
Steffi Thust
John Ashburner
I. Law
Koen van Leemput
40
38
0
18 Jul 2018

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