Ghent University Academic Bibliography

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Curriculum deep reinforcement learning with different exploration strategies : a feasibility study on cardiac landmark detection

Patricio Astudillo, Peter Mortier, Matthieu De Beule and Francis wyffels (UGent)

(2020) PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES, VOL 2: BIOIMAGING. p.37-45
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- Journal Article
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Automatic detection of the aortic annular plane and coronary ostia from multidetector computed tomography

Patricio Astudillo, Peter Mortier, Johan Bosmans, Ole De Backer, Peter de Jaegere, Francesco Iannaccone, Matthieu De Beule and Joni Dambre (UGent)

(2020) JOURNAL OF INTERVENTIONAL CARDIOLOGY.
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Mechanical and morphometric study of mitral valve chordae tendineae and related papillary muscle

Shengda Chen, Candra Ratna Sari, Hao Gao, Yang Lei, Patrick Segers (UGent) , Matthieu De Beule (UGent) , Guixue Wang and Xingshuang Ma

(2020) JOURNAL OF THE MECHANICAL BEHAVIOR OF BIOMEDICAL MATERIALS. 111.
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Towards safe and efficient pre-operative planning of transcatheter mitral valve interventions

Patricio Astudillo, Matthieu De Beule (UGent) , Joni Dambre (UGent) and Peter Mortier (UGent)

(2019) MORPHOLOGIE. 103(343). p.139-147
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Classification of aortic valve morphology using a three-dimensional convolutional neural network

Cameron Dowling, Patricio Astudillo, Stephen Brecker, Matthieu De Beule (UGent) , Peter Mortier (UGent) and Joni Dambre (UGent)

(2019) PCR London Valves, Abstracts.
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Optimization of a transcatheter heart valve frame using patient-specific computer simulation

Giorgia Rocatello, Gianluca De Santis, Sander De Bock, Matthieu De Beule, Patrick Segers (UGent) and Peter Mortier

(2019) CARDIOVASCULAR ENGINEERING AND TECHNOLOGY. 10(3). p.456-468
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Enabling automated device size selection for transcatheter aortic valve implantation

Patricio Astudillo, Peter Mortier, Johan Bosmans, Ole De Backer, Peter De Jaegere, Matthieu De Beule and Joni Dambre (UGent)

(2019) JOURNAL OF INTERVENTIONAL CARDIOLOGY. 2019.
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A validated computational framework to evaluate the stiffness of 3D printed ankle foot orthoses

Alessio Ielapi, Nicolas Lammens (UGent) , Wim Van Paepegem (UGent) , Malcolm Forward, Jan Patrick Deckers, Miguel Vermandel and Matthieu De Beule (UGent)

(2019) COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING. 22(8). p.880-887
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Kinematic boundary conditions substantially impact in silico ventricular function

Mathias Peirlinck (UGent) , Kevin L. Sack, Pieter De Backer (UGent) , Pedro Morais, Patrick Segers (UGent) , Thomas Franz and Matthieu De Beule (UGent)

(2019) INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING. 35(1).
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The impact of size and position of a mechanical expandable transcatheter aortic valve : novel insights through computational modelling and simulation

Giorgia Rocatello, Nahid El Faquir, Ole De Backer, Martin J. Swaans, Azeem Latib, Luca Vicentini, Patrick Segers (UGent) , Matthieu De Beule, Peter de Jaegere and Peter Mortier

(2019) JOURNAL OF CARDIOVASCULAR TRANSLATIONAL RESEARCH. 12(5). p.435-446

Academic Bibliography

Curriculum deep reinforcement learning with different exploration strategies : a feasibility study on cardiac landmark detection

Automatic detection of the aortic annular plane and coronary ostia from multidetector computed tomography

Mechanical and morphometric study of mitral valve chordae tendineae and related papillary muscle

Towards safe and efficient pre-operative planning of transcatheter mitral valve interventions

Classification of aortic valve morphology using a three-dimensional convolutional neural network

Optimization of a transcatheter heart valve frame using patient-specific computer simulation

Enabling automated device size selection for transcatheter aortic valve implantation

A validated computational framework to evaluate the stiffness of 3D printed ankle foot orthoses

Kinematic boundary conditions substantially impact in silico ventricular function

The impact of size and position of a mechanical expandable transcatheter aortic valve : novel insights through computational modelling and simulation

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