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Bob D de Vos

Showing results (1-10 of 27) with videos related to

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Scientific Reports|December 11, 2020
Automatic segmentation with detection of local segmentation failures in cardiac MRIJörg Sander, Bob D de Vos, Ivana Išgum
Medical Image Analysis|March 1, 2022
Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRIJörg Sander, Bob D de Vos, Ivana Išgum
Scientific Reports|October 6, 2023
Stochastic co-teaching for training neural networks with unknown levels of label noiseBob D de Vos, Gino E Jansen, Ivana Išgum
Radiology. Cardiothoracic Imaging|May 10, 2021
Deep Learning-Quantified Calcium Scores for Automatic Cardiovascular Mortality Prediction at Lung Screening Low-Dose CTBob D de Vos, Nikolas Lessmann, Pim A de Jong, et al.
Medical Image Analysis|December 23, 2018
A deep learning framework for unsupervised affine and deformable image registrationBob D de Vos, Floris F Berendsen, Max A Viergever, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 7, 2019
Impact of automatically detected motion artifacts on coronary calcium scoring in chest computed tomographyJurica Šprem, Bob D de Vos, Nikolas Lessmann, et al.
IEEE Transactions on Medical Imaging|February 23, 2019
Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CTBob D de Vos, Jelmer M Wolterink, Tim Leiner, et al.
JACC. Cardiovascular Imaging|August 10, 2019
State-of-the-Art Deep Learning in Cardiovascular Image AnalysisGeert Litjens, Francesco Ciompi, Jelmer M Wolterink, et al.
Computers in Biology and Medicine|July 26, 2023
Reconstruction and completion of high-resolution 3D cardiac shapes using anisotropic CMRI segmentations and continuous implicit neural representationsJörg Sander, Bob D de Vos, Steffen Bruns, et al.
IEEE Transactions on Medical Imaging|March 3, 2017
ConvNet-Based Localization of Anatomical Structures in 3-D Medical ImagesBob D de Vos, Jelmer M Wolterink, Pim A de Jong, et al.
Pageof 3

Showing results (1-10 of 27) with videos related to

Sort By:
Pageof 3
Scientific Reports|December 11, 2020
Automatic segmentation with detection of local segmentation failures in cardiac MRIJörg Sander, Bob D de Vos, Ivana Išgum
Medical Image Analysis|March 1, 2022
Autoencoding low-resolution MRI for semantically smooth interpolation of anisotropic MRIJörg Sander, Bob D de Vos, Ivana Išgum
Scientific Reports|October 6, 2023
Stochastic co-teaching for training neural networks with unknown levels of label noiseBob D de Vos, Gino E Jansen, Ivana Išgum
Radiology. Cardiothoracic Imaging|May 10, 2021
Deep Learning-Quantified Calcium Scores for Automatic Cardiovascular Mortality Prediction at Lung Screening Low-Dose CTBob D de Vos, Nikolas Lessmann, Pim A de Jong, et al.
Medical Image Analysis|December 23, 2018
A deep learning framework for unsupervised affine and deformable image registrationBob D de Vos, Floris F Berendsen, Max A Viergever, et al.
Journal of Medical Imaging (Bellingham, Wash.)|March 7, 2019
Impact of automatically detected motion artifacts on coronary calcium scoring in chest computed tomographyJurica Šprem, Bob D de Vos, Nikolas Lessmann, et al.
IEEE Transactions on Medical Imaging|February 23, 2019
Direct Automatic Coronary Calcium Scoring in Cardiac and Chest CTBob D de Vos, Jelmer M Wolterink, Tim Leiner, et al.
JACC. Cardiovascular Imaging|August 10, 2019
State-of-the-Art Deep Learning in Cardiovascular Image AnalysisGeert Litjens, Francesco Ciompi, Jelmer M Wolterink, et al.
Computers in Biology and Medicine|July 26, 2023
Reconstruction and completion of high-resolution 3D cardiac shapes using anisotropic CMRI segmentations and continuous implicit neural representationsJörg Sander, Bob D de Vos, Steffen Bruns, et al.
IEEE Transactions on Medical Imaging|March 3, 2017
ConvNet-Based Localization of Anatomical Structures in 3-D Medical ImagesBob D de Vos, Jelmer M Wolterink, Pim A de Jong, et al.
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