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Jan D'hooge
Jan Dhooge
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2020 – today
- 2024
- [j36]Nitin Burman
, Claudia Alessandra Manetti
Large-Scale Simulation of Realistic Cardiac Ultrasound Data With Clinical Appearance: Methodology and Open-Access Database. IEEE Access 12: 117040-117055 (2024) - [i6]Mahdi Tabassian, Somayeh Akbari, Sandro F. Queirós, Jan D'hooge:
Deep Spatiotemporal Clutter Filtering of Transthoracic Echocardiographic Images Using a 3D Convolutional Auto-Encoder. CoRR abs/2401.13147 (2024) - 2023
- [j35]Annette Caenen
Transmural Wave Speed Gradient May Distinguish Intrinsic Myocardial Stiffening From Preload-Induced Changes in Operational Stiffness in Shear Wave Elastography. IEEE Trans. Biomed. Eng. 70(1): 259-270 (2023) - [c49]Miaomiao Zhang, Ji Chen, Xiaoyan Fu, Ge Xin, Jingzhi Zhang, Na Jiang, Jan D'hooge:
Hankel Structured Low Rank and Sparse Representation Via L0-Norm Optimization for Compressed Ultrasound Plane Wave Signal Reconstruction. ICASSP 2023: 1-5 - [c48]Muhammad Asad, Helena Williams
Adaptive Multi-scale Online Likelihood Network for AI-Assisted Interactive Segmentation. MICCAI (2) 2023: 564-574 - [i5]Muhammad Asad, Helena Williams, Indrajeet Mandal, Sarim Ather
Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation. CoRR abs/2303.13696 (2023) - [i4]Helena Williams, João Pedrosa, Muhammad Asad, Laura Cattani, Tom Vercauteren, Jan Deprest, Jan D'hooge:
DEEPBEAS3D: Deep Learning and B-Spline Explicit Active Surfaces. CoRR abs/2309.02335 (2023) - 2022
- [c47]Jasleen Birdi, Jan D'hooge, Alexander Bertrand:
A Neural Network Approach for Ultrasound Attenuation Coefficient Estimation. EUSIPCO 2022: 902-906 - [c46]Pedro Morais
3D segmentation of the left atrial appendage in computed tomography for planning of transcatheter occlusion. Medical Imaging: Image-Guided Procedures 2022 - 2021
- [j34]Monire Sheikh Hosseini
Non-rigid image registration using a modified fuzzy feature-based inference system for 3D cardiac motion estimation. Comput. Methods Programs Biomed. 205: 106085 (2021) - [j33]Félix Dandois
Validated Ultrasound Speckle Tracking Method for Measuring Strains of Knee Collateral Ligaments In-Situ during Varus/Valgus Loading. Sensors 21(5): 1895 (2021) - [c45]Marta Orlowska
Improved High Frame Rate Speckle Tracking for Echocardiography. FIMH 2021: 93-100 - [c44]Helena Williams
Automatic Tomographic Ultrasound Imaging Sequence Extraction of the Anal Sphincter. ASMUS@MICCAI 2021: 35-44 - [c43]Helena Williams
Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces. MICCAI (1) 2021: 315-325 - [i3]Helena Williams, João Pedrosa, Laura Cattani, Susanne Housmans, Tom Vercauteren, Jan Deprest, Jan D'hooge:
Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces. CoRR abs/2110.12939 (2021) - 2020
- [c42]Helena Williams
Automatic C-Plane Detection in Pelvic Floor Transperineal Volumetric Ultrasound. ASMUS/PIPPI@MICCAI 2020: 136-145
2010 – 2019
- 2019
- [j32]Thomas Bos
Enabling Ultrasound In-Body Communication: FIR Channel Models and QAM Experiments. IEEE Trans. Biomed. Circuits Syst. 13(1): 135-144 (2019) - [j31]Sarah Leclerc
Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography. IEEE Trans. Medical Imaging 38(9): 2198-2210 (2019) - [c41]Pedro Morais
Automatic left ventricular segmentation in 4D interventional ultrasound data using a patient-specific temporal synchronized shape prior. Medical Imaging: Image Processing 2019: 109491F - [c40]Sandro F. Queiros
Semi-automatic aortic valve tract segmentation in 3D cardiac magnetic resonance images using shape-based B-spline explicit active surfaces. Medical Imaging: Image Processing 2019: 1094918 - [i2]Shakiba Moradi, Azin Alizadehasl, Jan Dhooge, Isaac Shiri, Niki Oveisi, Mehrdad Oveisi, Majid Maleki, Mostafa Ghelich Oghli:
MFP-Unet: A Novel Deep Learning Based Approach for Left Ventricle Segmentation in Echocardiography. CoRR abs/1906.10486 (2019) - 2018
- [j30]Pedro Morais
Automated segmentation of the atrial region and fossa ovalis towards computer-aided planning of inter-atrial wall interventions. Comput. Methods Programs Biomed. 161: 73-84 (2018) - [j29]Avan Suinesiaputra
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. IEEE J. Biomed. Health Informatics 22(2): 503-515 (2018) - [j28]Yitian Zhou
A Framework for the Generation of Realistic Synthetic Cardiac Ultrasound and Magnetic Resonance Imaging Sequences From the Same Virtual Patients. IEEE Trans. Medical Imaging 37(3): 741-754 (2018) - [j27]Sandro F. Queiros
MITT: Medical Image Tracking Toolbox. IEEE Trans. Medical Imaging 37(11): 2547-2557 (2018) - [c39]Pedro Morais
A Novel Interventional Guidance Framework for Transseptal Puncture in Left Atrial Interventions. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 2018: 93-101 - [c38]Ester Bonmati, Yipeng Hu, Nikhil Sindhwani, Hans Peter Dietz, Jan D'hooge
Technical note: automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network. Medical Imaging: Image-Guided Procedures 2018: 105760K - [c37]Bruno Oliveira
Segmentation of kidney and renal collecting system on 3D computed tomography images. SeGAH 2018: 1-8 - 2017
- [j26]Daniel Barbosa
heartBEATS: A hybrid energy approach for real-time B-spline explicit active tracking of surfaces. Comput. Medical Imaging Graph. 62: 26-33 (2017) - [j25]Pedro Morais
A competitive strategy for atrial and aortic tract segmentation based on deformable models. Medical Image Anal. 42: 102-116 (2017) - [j24]Sandro F. Queiros
Fully Automatic 3-D-TEE Segmentation for the Planning of Transcatheter Aortic Valve Implantation. IEEE Trans. Biomed. Eng. 64(8): 1711-1720 (2017) - [j23]João Pedrosa
Fast and Fully Automatic Left Ventricular Segmentation and Tracking in Echocardiography Using Shape-Based B-Spline Explicit Active Surfaces. IEEE Trans. Medical Imaging 36(11): 2287-2296 (2017) - [c36]Brecht Heyde, Nick Bottenus
Impact of beamforming strategies and regularisation on ultrasound displacement estimation using RF-based image registration. ISBI 2017: 911-915 - [c35]Pawel Kozlowski, Raja Sekhar Bandaru, Jan D'hooge
Real-time catheter localization and visualization using three-dimensional echocardiography. Medical Imaging: Image-Guided Procedures 2017: 1013518 - [i1]Ester Bonmati, Yipeng Hu, Nikhil Sindhwani, Hans Peter Dietz, Jan D'hooge, Dean C. Barratt, Jan Deprest, Tom Vercauteren:
Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network. CoRR abs/1712.06452 (2017) - 2016
- [j22]Antonio R. Porras
Integration of Multi-Plane Tissue Doppler and B-Mode Echocardiographic Images for Left Ventricular Motion Estimation. IEEE Trans. Medical Imaging 35(1): 89-97 (2016) - [j21]Brecht Heyde
Anatomical Image Registration Using Volume Conservation to Assess Cardiac Deformation From 3D Ultrasound Recordings. IEEE Trans. Medical Imaging 35(2): 501-511 (2016) - [j20]Ling Tong, Alessandro Ramalli
Wide-Angle Tissue Doppler Imaging at High Frame Rate Using Multi-Line Transmit Beamforming: An Experimental Validation In Vivo. IEEE Trans. Medical Imaging 35(2): 521-528 (2016) - [j19]Olivier Bernard
Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography. IEEE Trans. Medical Imaging 35(4): 967-977 (2016) - [j18]Martino Alessandrini
Detailed Evaluation of Five 3D Speckle Tracking Algorithms Using Synthetic Echocardiographic Recordings. IEEE Trans. Medical Imaging 35(8): 1915-1926 (2016) - [j17]Sandro F. Queiros
Aortic Valve Tract Segmentation From 3D-TEE Using Shape-Based B-Spline Explicit Active Surfaces. IEEE Trans. Medical Imaging 35(9): 2015-2025 (2016) - [c34]Carolina Vallecilla, Jan D'hooge:
Design of a Multiplexing Scheme for a Matrix Array for 3D Cardiac Imaging. CinC 2016 - [c33]Catarina B. Carvalho
3D tendon strain estimation on high-frequency 3D ultrasound images a simulation and phantom study. ISBI 2016: 172-175 - [c32]Helena R. Torres, Bruno Oliveira
Kidney segmentation in 3D CT images using B-Spline Explicit Active Surfaces. SeGAH 2016: 1-7 - 2015
- [j16]Martino Alessandrini
A Pipeline for the Generation of Realistic 3D Synthetic Echocardiographic Sequences: Methodology and Open-Access Database. IEEE Trans. Medical Imaging 34(7): 1436-1451 (2015) - [c31]Colas Schretter
Continuous ultrasound speckle tracking with Gaussian mixtures. EMBC 2015: 129-132 - [c30]Martino Alessandrini, Adrian Basarab, Mathieu De Craene, Maxime Sermesant
The role of the image phase in cardiac strain imaging. EUSIPCO 2015: 2796-2800 - [c29]Mahdi Tabassian, Martino Alessandrini, Luca De Marchi
Principal Component Analysis for the Classification of Cardiac Motion Abnormalities Based on Echocardiographic Strain and Strain Rate Imaging. FIMH 2015: 83-90 - [c28]A. Danudibroto, Olivier Gérard, Martino Alessandrini, Oana Mirea, Jan D'hooge
3D Farnebäck Optic Flow for Extended Field of View of Echocardiography. FIMH 2015: 129-136 - [c27]Martino Alessandrini, Brecht Heyde, Sophie Giffard-Roisin, Herve Delingette
Generation of ultra-realistic synthetic echocardiographic sequences to facilitate standardization of deformation imaging. ISBI 2015: 756-759 - [c26]Mahdi Tabassian, Martino Alessandrini, Peter Claes
Automatic Detection of Myocardial Infarction Through a Global Shape Feature Based on Local Statistical Modeling. STACOM@MICCAI 2015: 208-216 - [c25]Andrea Perissinotto, Sandro F. Queiros
Robust temporal alignment of multimodal cardiac sequences. Medical Imaging: Image Processing 2015: 94131K - [c24]Daniel Barbosa
Improving the robustness of interventional 4D ultrasound segmentation through the use of personalized prior shape models. Medical Imaging: Image Processing 2015: 94133H - [c23]Sandro F. Queiros
Fast left ventricle tracking in CMR images using localized anatomical affine optical flow. Medical Imaging: Image Processing 2015: 941306 - 2014
- [j15]Daniel Barbosa
Real-time 3D interactive segmentation of echocardiographic data through user-based deformation of B-spline explicit active surfaces. Comput. Medical Imaging Graph. 38(1): 57-67 (2014) - [j14]Thomas Dietenbeck
Whole myocardium tracking in 2D-echocardiography in multiple orientations using a motion constrained level-set. Medical Image Anal. 18(3): 500-514 (2014) - [j13]Sandro F. Queiros
Fast automatic myocardial segmentation in 4D cine CMR datasets. Medical Image Anal. 18(7): 1115-1131 (2014) - [j12]Ling Tong, Alessandro Ramalli
Multi-Transmit Beam Forming for Fast Cardiac Imaging - Experimental Validation and In Vivo Application. IEEE Trans. Medical Imaging 33(6): 1205-1219 (2014) - [j11]Antonio R. Porras
Improved Myocardial Motion Estimation Combining Tissue Doppler and B-Mode Echocardiographic Images. IEEE Trans. Medical Imaging 33(11): 2098-2106 (2014) - [c22]Thomas Dietenbeck
A level-set approach for tracking objects in image sequences using a level conservation constraint: Application to cardiac sequences. ICIP 2014: 863-866 - [c21]Mathieu De Craene, Martino Alessandrini
Generation of ultra-realistic synthetic echocardiographic sequences. ISBI 2014 - 2013
- [j10]Brecht Heyde, Ruta Jasaityte, Daniel Barbosa
Elastic Image Registration Versus Speckle Tracking for 2-D Myocardial Motion Estimation: A Direct Comparison In Vivo. IEEE Trans. Medical Imaging 32(2): 449-459 (2013) - [j9]Mathieu De Craene, Stéphanie Marchesseau, Brecht Heyde, Hang Gao, Martino Alessandrini, Olivier Bernard, Gemma Piella, Antonio R. Porras, Lennart Tautz, Anja Hennemuth, Adityo Prakosa, Hervé Liebgott, Oudom Somphone, Pascal Allain, Shérif Makram-Ebeid, Hervé Delingette, Maxime Sermesant, Jan D'hooge, Eric Saloux:
3D Strain Assessment in Ultrasound (Straus): A Synthetic Comparison of Five Tracking Methodologies. IEEE Trans. Medical Imaging 32(9): 1632-1646 (2013) - [c20]Hang Gao, Nathalie Bijnens, Damien Coisne, Mathieu Lugiez, Marcel C. M. Rutten, Jan D'hooge
2D Intracardiac Flow Estimation by Combining Speckle Tracking with Navier-Stokes Based Regularization: A Study with Dynamic Kernels. FIMH 2013: 19-26 - [c19]Sandro F. Queiros
Fast Fully Automatic Segmentation of the Myocardium in 2D Cine MR Images. FIMH 2013: 71-79 - [c18]Daniel Barbosa
Fast Left Ventricle Tracking in 3D Echocardiographic Data Using Anatomical Affine Optical Flow. FIMH 2013: 191-199 - [c17]Brecht Heyde, Daniel Barbosa
Influence of the Grid Topology of Free-Form Deformation Models on the Performance of 3D Strain Estimation in Echocardiography. FIMH 2013: 308-315 - [c16]Pedro Morais
Cardiac Motion and Deformation Estimation from Tagged MRI Sequences Using a Temporal Coherent Image Registration Framework. FIMH 2013: 316-324 - [c15]Thomas Dietenbeck
Multiview myocardial tracking in echocardiographic 2D sequences using shape and motion constrained level-set. ISBI 2013: 1022-1025 - [c14]Oudom Somphone, Mathieu De Craene, Roberto Ardon, Benoit Mory, Pascal Allain, Hang Gao, Jan D'hooge
Fast myocardial motion and strain estimation in 3D cardiac ultrasound with Sparse Demons. ISBI 2013: 1182-1185 - 2012
- [j8]Thomas Dietenbeck
Detection of the whole myocardium in 2D-echocardiography for multiple orientations using a geometrically constrained level-set. Medical Image Anal. 16(2): 386-401 (2012) - [j7]Mathieu De Craene, Gemma Piella
Temporal diffeomorphic free-form deformation: Application to motion and strain estimation from 3D echocardiography. Medical Image Anal. 16(2): 427-450 (2012) - [j6]Daniel Barbosa
B-Spline Explicit Active Surfaces: An Efficient Framework for Real-Time 3-D Region-Based Segmentation. IEEE Trans. Image Process. 21(1): 241-251 (2012) - [c13]Brecht Heyde, Piet Claus
Motion and deformation estimation of cardiac ultrasound sequences using an anatomical B-spline transformation model. ISBI 2012: 266-269 - [c12]Daniel Barbosa
Fast and fully automatic 3D echocardiographic segmentation using B-spline explicit active surfaces. ISBI 2012: 1088-1091 - [c11]Mathieu De Craene, Pascal Allain, Hang Gao, Adityo Prakosa, Stéphanie Marchesseau, Oudom Somphone, Loïc Hilpert, Alain Manrique, Hervé Delingette
Computational and Physical Phantom Setups for the Second Cardiac Motion Analysis Challenge (cMAC2). STACOM 2012: 125-133 - [c10]Brecht Heyde, Daniel Barbosa
Three-Dimensional Cardiac Motion Estimation Based on Non-rigid Image Registration Using a Novel Transformation Model Adapted to the Heart. STACOM 2012: 142-150 - 2011
- [c9]Daniel Barbosa
Towards real-time 3D region-based segmentation: B-spline explicit active surfaces. ICIP 2011: 3121-3124 - [c8]Thomas Dietenbeck
Multiview myocardial segmentation in echocardiographic images using a piecewise parametric shape prior. ISBI 2011: 645-648 - [c7]Daniel Barbosa
Real-time region-based segmentation of 3D inhomogeneous objects in medical images. ISBI 2011: 1986-1989 - 2010
- [c6]Jan D'hooge
New developments in functional cardiac imaging. ISBI 2010: 282-283 - [c5]Mathieu De Craene, Gemma Piella
Temporal Diffeomorphic Free-Form Deformation for Strain Quantification in 3D-US Images. MICCAI (2) 2010: 1-8
2000 – 2009
- 2008
- [j5]An Elen, Hon Fai Choi, Dirk Loeckx, Hang Gao, Piet Claus
Three-Dimensional Cardiac Strain Estimation Using Spatio-Temporal Elastic Registration of Ultrasound Images: A Feasibility Study. IEEE Trans. Medical Imaging 27(11): 1580-1591 (2008) - 2007
- [j4]Hassan Moladoust
Radial strain assessment of the interventricular septum wall by a new technique in healthy subjects. Medical Biol. Eng. Comput. 45(9): 855-862 (2007) - 2006
- [j3]Igor Dydenko, Fadi Jamal, Olivier Bernard
A level set framework with a shape and motion prior for segmentation and region tracking in echocardiography. Medical Image Anal. 10(2): 162-177 (2006) - [c4]Olivier Bernard, Jan D'hooge, Denis Friboulet:
Segmentation of echocardiographic images based on statistical modelling of the radio-frequency signal. EUSIPCO 2006: 1-5 - [c3]Olivier Bernard
Statistical modeling of the radio-frequency signal in echocardiographic images based on generalized Gaussian distribution. ISBI 2006: 153-156 - 2003
- [j2]Igor Dydenko, Denis Friboulet
Towards ultrasound cardiac image segmentation based on the radiofrequency signal. Medical Image Anal. 7(3): 353-367 (2003) - [c2]Jan D'hooge, Oliver Turschner, Christoph Dommke, Piet Claus, Bart H. Bijnens, Jan Thoen, Frans Van de Werf, George R. Sutherland, Paul Suetens:
The Relationship between Regional Integrated Backscatter Levels and Regional Strain in Normal, Acutely Ischemic, and Reperfused Myocardium. FIMH 2003: 278-286 - 2002
- [j1]Jan D'hooge
Echocardiographic Strain and Strain-rate Imaging: A New Tool to Study Regional Myocardial Function. IEEE Trans. Medical Imaging 21(9): 1022-1030 (2002) - 2001
- [c1]Jan D'hooge, Fadi Jamal, Bart H. Bijnens
Two-Dimensional Ultrasonic Strain Rate Measurement of the Human Heart in Vivo. FIMH 2001: 47-52
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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