Kumaradevan Punithakumar

Associate Professor

University of Alberta

Canada

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Dr. Kumaradevan Punithakumar is an Associate Professor at the University of Alberta, Canada. His research focuses on advanced ultrasound techniques, including AI integration in point-of-care applications, pediatric cardiology diagnostics, and robotics for autonomous ultrasound scanning. He has published numerous articles exploring topics such as neural surface reconstruction in 3D ultrasound, machine learning for intraoral imaging, and speckle noise reduction methods in medical ultrasound.

Kumaradevan Punithakumar

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Articles (21)

AI-Augmented Point of Care Ultrasound in Intensive Care Unit Patients: Can Novices Perform a “Basic Echo” to Estimate Left Ventricular Ejection Fraction in This Acute-Care Setting?

A Survey of Autonomous Robotic Ultrasound Scanning Systems

Computerized Diagnosis Methods for Pediatric Cardiology: A Review

Neural implicit surface reconstruction of freehand 3D ultrasound volume with geometric constraints

Intraoral Ultrasound Imaging Using a Rotational Transducer with Periodontal Feature Identification by Machine Learning

Ultrasonic mapping of midpalatal suture – An ex-vivo study

3D–3D Rigid Registration of Echocardiographic Images With Significant Overlap Using Particle Filter

High-Resolution Stereoscopic Visualization of Pediatric Echocardiography Data on Microsoft HoloLens 2

Two-Step Rigid and Non-Rigid Image Registration for the Alignment of Three-Dimensional Echocardiography Sequences From Multiple Views

DetSegDiff: A joint periodontal landmark detection and segmentation in intraoral ultrasound using edge-enhanced diffusion-based network

Speckle Noise Reduction for Medical Ultrasound Images Using Hybrid CNN-Transformer Network

Deep Learning Segmentation of the Right Ventricle in Cardiac MRI

Benefit of stereoscopic volume rendering for the identification of pediatric pulmonary vein stenosis from CT angiography

A Novel 3D-to-3D Diffeomorphic Registration Algorithm With Applications to Left Ventricle Segmentation in MR and Ultrasound Sequences

AI-assisted mole detection for online dermatology triage in telemedicine settings

Deep Learning Based Parameterization of Diffeomorphic Image Registration for Cardiac Image Segmentation

GMCNet: A Generative Multi-Resolution Framework for Cardiac Registration

Temporomandibular joint segmentation in MRI images using deep learning

Localization of cementoenamel junction in intraoral ultrasonographs with machine learning

Computer-Assisted Detection of Cemento-Enamel Junction in Intraoral Ultrasonographs

Automatic spinal cord segmentation from axial-view MRI slices using CNN with grayscale regularized active contour propagation

Collaborators (8)

Pierre Boulanger

Lawrence H. Le

Fabiana Almeida

Sergio Escalera

Víctor Manuel Campello

Brian Buchanan

Nilanjan Ray

Moona Mazher

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