Jan D’hooge
0000-0002-2346-142X
317 papers found
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Assessing cardiac stiffness using ultrasound shear wave elastography
Spatiotemporal Distribution of Nanodroplet Vaporization in a Proton Beam Using Real-Time Ultrasound Imaging for Range Verification
Feasibility and Accuracy of Automated Three-Dimensional Echocardiographic Analysis of Left Atrial Appendage for Transcatheter Closure
A machine learning framework for the evaluation of myocardial rotation in patients with noncompaction cardiomyopathy
Systematic Comparison of Left Ventricular Geometry Between 3D-Echocardiography and Cardiac Magnetic Resonance Imaging
Ultrasound-assisted investigation of photon triggered vaporization of poly(vinylalcohol) phase-change nanodroplets: A preliminary concept study with dosimetry perspective
Automatic Extraction of Hiatal Dimensions in 3-D Transperineal Pelvic Ultrasound Recordings
Effect of a Radiotherapeutic Megavoltage Beam on Ultrasound Contrast Agents
A $128\times 1$ Phased Array Piezoelectric Micromachined Ultrasound Transducer (pMUT) for Medical Imaging
Extracting neuronal activity signals from microscopy recordings of contractile tissue using B-spline Explicit Active Surfaces (BEAS) cell tracking
Validated Ultrasound Speckle Tracking Method for Measuring Strains of Knee Collateral Ligaments In-Situ during Varus/Valgus Loading
Concepts and applications of ultrafast cardiac ultrasound imaging
Improved High Frame Rate Speckle Tracking for Echocardiography
Interactive Segmentation via Deep Learning and B-Spline Explicit Active Surfaces
Design of a sparse ellipsoidal array for volumetric ultrasound imaging of the prostate
The Effect of Different Coherence-Based Beamforming Techniques on the Accuracy of High Frame Rate Speckle Tracking Echocardiography
A Novel 2-D Speckle Tracking Method for High-Frame-Rate Echocardiography
Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist
Shear Wave Elastography Using High-Frame-Rate Imaging in the Follow-Up of Heart Transplantation Recipients
Biventricular imaging markers to predict outcomes in non‐compaction cardiomyopathy: a machine learning study
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