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Left Ventricle Quantification Using Direct Regression with Segmentation
  Regularization and Ensembles of Pretrained 2D and 3D CNNs

Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs

12 August 2019
N. Gessert
Alexander Schlaefer
ArXivPDFHTML

Papers citing "Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs"

3 / 3 papers shown
Title
Shape constrained CNN for segmentation guided prediction of myocardial
  shape and pose parameters in cardiac MRI
Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI
Sofie Tilborghs
J. Bogaert
F. Maes
25
6
0
02 Mar 2022
Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous
  Prediction of Shape and Pose Parameters
Shape Constrained CNN for Cardiac MR Segmentation with Simultaneous Prediction of Shape and Pose Parameters
Sofie Tilborghs
T. Dresselaers
P. Claus
J. Bogaert
F. Maes
16
10
0
18 Oct 2020
Skin Lesion Classification Using Ensembles of Multi-Resolution
  EfficientNets with Meta Data
Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta Data
N. Gessert
M. Nielsen
M. Shaikh
R. Werner
Alexander Schlaefer
27
257
0
09 Oct 2019
1