Directory

Kumaradevan Punithakumar

Associate Professor, Faculty of Medicine & Dentistry - Radiology & Diagnostic Imaging Dept
Contact Overview Courses Publications

Contact

Associate Professor, Faculty of Medicine & Dentistry - Radiology & Diagnostic Imaging Dept
Email
punithak@ualberta.ca

Overview

Area of Study / Keywords

Cardiac MRI Echocardiography Computer vision Machine learning Image segmentation Image registration Medical image analysis Medical image visualization Image fusion

About

Dr. Kumaradevan Punithakumar received his B.Sc.Eng. (with First class Hons.) degree in Electronic and Telecommunication Engineering from the University of Moratuwa, and his M.A.Sc and Ph.D. degrees in Electrical and Computer Engineering from McMaster University.

From 2001 to 2002, he was an Instructor in the Department of Electronic and Telecommunication Engineering at the University of Moratuwa. From 2002 to 2007, he was a Teaching Assistant and, in 2008, a Postdoctoral Research Fellow, in the Department of Electrical and Computer Engineering at McMaster University. From 2008 to 2012, he was an Imaging Research Scientist at GE Healthcare, Canada. He is currently an Associate Professor at the University of Alberta, Department of Radiology and Diagnostic Imaging, and an Alberta Health Services Chair in Diagnostic Imaging. He is also an Operational and Computational Director at the Servier Virtual Cardiac Centre, Mazankowski Alberta Heart Institute.

Dr. Punithakumar was the recipient of the Industrial Research and Development Fellowship by the National Sciences and Engineering Research Council of Canada in 2008, and the Outstanding Associate Editor award by the IEEE Access in 2018 and 2020. Areas of interest include medical image analysis and visualization, machine learning, computer vision, information fusion, object tracking, and nonlinear filtering.




Research

Research Areas:

Medical image analysis and visualization

Computer vision and machine learning

Research Projects:

Research project details are available at: https://spaces.facsci.ualberta.ca/svcc/projects/

Teaching

Courses

MM 804 - Graphics and Animation

Developing appealing graphics and animations has become a requirement in many industrial applications like entertainment, advertising and online education. Animation is effective in explaining abstract concepts in biology, physics and medicine. 3D graphics and simulation is also beneficial in surgical training and planning. This course is intended to provide discussions on graphics and animation techniques, including 3D data acquisition, processing, transmission and rendering. Students will have the opportunity to understand and compare various state-of-the-art techniques in 3D modeling, animation and special effects. Sections offered in a Sections may be offered at an increased rate of fee assessment; refer to the Tuition and Fees page in the University Regulations sections of the Calendar.

Winter Term 2024

Browse more courses taught by Kumaradevan Punithakumar

Featured Publications

Interobserver Variability of Hip Dysplasia Indices on Sweep Ultrasound for Novices, Experts, and Artificial Intelligence

Ghasseminia S., Lim A.K.S., Concepcion N.D.P., Kirschner D., Teo Y.M., Dulai S., Mabee M., Kernick S., Brockley C., Muljadi S., Singh P., Rakkunedeth Hareendranathan A., Kapur J., Zonoobi D., Punithakumar K., Jaremko J.L.

JOURNAL OF PEDIATRIC ORTHOPAEDICS. 2022 April; 42 (4):E315-E323 10.1097/BPO.0000000000002065

A training-free recursive multiresolution framework for diffeomorphic deformable image registration

Sheikhjafari A., Noga M., Punithakumar K., Ray N.

APPLIED INTELLIGENCE. 2022 February; 10.1007/s10489-021-03062-2

Automated Segmentation of the Right Ventricle from Magnetic Resonance Imaging Using Deep Convolutional Neural Networks

Punithakumar K., Carscadden A., Noga M.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2022 January; 13131 LNCS 10.1007/978-3-030-93722-5_37

A novel machine learning-based video classification approach to detect pneumonia in COVID-19 patients using lung ultrasound

D. Krishnaswamy, S.E. Ebadi, S.E.S. Bolouri, D. Zonoobi, R. Greiner, N. Meuser-Herr, J.L. Jaremko, J. Kapur, M. Noga, K. Punithakumar.

International Journal of Noncommunicable Diseases. 2021 November; 6 (5):69-75 10.4103/2468-8827.330644

Localization of cementoenamel junction in intraoral ultrasonographs with machine learning

Nguyen K.C.T., Le B.M., Li M., Almeida F.T., Major P.W., Kaipatur N.R., Lou E.H.M., Punithakumar K., Le L.H.

JOURNAL OF DENTISTRY. 2021 September; 112 10.1016/j.jdent.2021.103752

TUN-Det: A Novel Network for Thyroid Ultrasound Nodule Detection

Shahroudnejad A., Qin X., Balachandran S., Dehghan M., Zonoobi D., Jaremko J., Kapur J., Jagersand M., Noga M., Punithakumar K.

International Conference on Medical Image Computing and Computer-Assisted Intervention. 2021 September; 12901 LNCS 10.1007/978-3-030-87193-2_62

Multi-View 3-D Fusion Echocardiography: Enhancing Clinical Feasibility with a Novel Processing Technique

Lamb T., Sarban V., Shanks M., Mirhadi E., Hareendranathan A., Noga M., Punithakumar K., Boulanger P., Becher H.

ULTRASOUND IN MEDICINE AND BIOLOGY. 2021 August; 10.1016/j.ultrasmedbio.2021.06.013

Automated detection of pneumonia in lung ultrasound using deep video classification for COVID-19

Erfanian Ebadi S., Krishnaswamy D., Bolouri S.E.S., Zonoobi D., Greiner R., Meuser-Herr N., Jaremko J.L., Kapur J., Noga M., Punithakumar K.

Informatics in Medicine Unlocked. 2021 August; 25 10.1016/j.imu.2021.100687

Cardiac MRI-Derived Myocardial Deformation Parameters Correlate with Pulmonary Valve Replacement Indications in Repaired Tetralogy of Fallot

Goot B.H., Tham E.B., Krishnaswamy D., Punithakumar K., Noga M.

PEDIATRIC CARDIOLOGY. 2021 July; 10.1007/s00246-021-02669-z

Computer-assisted detection of cemento-enamel junction in intraoral ultrasonographs

Nguyen K.C.T., Yan Y., Kaipatur N.R., Major P.W., Lou E.H., Punithakumar K., Le L.H.

Applied Sciences-Basel. 2021 July; 11 (13) 10.3390/app11135850

Computer-assisted detection of cemento-enamel junction in intraoral ultrasonographs

Nguyen K.C.T., Yan Y., Kaipatur N.R., Major P.W., Lou E.H., Punithakumar K., Le L.H.

Applied Sciences. 2021 June; 11 (13):5850:1-12 10.3390/app11135850

A New Semi-automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences

Krishnaswamy D., Hareendranathan A.R., Suwatanaviroj T., Boulanger P., Becher H., Noga M., Punithakumar K.

Cardiovascular Engineering and Technology. 2021 May; 10.1007/s13239-021-00547-6

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

Zhang X., Li Y., Liu Y., Tang S.X., Liu X., Punithakumar K., Shi D.

COMPUTERS IN BIOLOGY AND MEDICINE. 2021 May; 132 10.1016/j.compbiomed.2021.104345

A New Semi-automated Algorithm for Volumetric Segmentation of the Left Ventricle in Temporal 3D Echocardiography Sequences

Krishnaswamy D., Hareendranathan A.R., Suwatanaviroj T., Boulanger P., Becher H., Noga M., Punithakumar K.

Cardiovascular Engineering and Technology. 2021 May; 13 (1):55-68 10.1007/s13239-021-00547-6

The implications of two outlet boundary conditions on blood flow simulations in normal aorta of pediatric subjects

Jia Y., Punithakumar K., Noga M., Hemmati A.

THEORETICAL AND COMPUTATIONAL FLUID DYNAMICS. 2021 April; 35 (3):419-436 10.1007/s00162-021-00566-y

Blood Flow Manipulation in the Aorta with Coarctation and Arch Narrowing for Pediatric Subjects

Jia Y., Punithakumar K., Noga M., Hemmati A.

Journal of Applied Mechanics. 2021 February; 88 (2) 10.1115/1.4048570

Fully automated left atrium segmentation from anatomical cine long-axis MRI sequences using deep convolutional neural network with unscented Kalman filter

Zhang X., Noga M., Martin D.G., Punithakumar K.

MEDICAL IMAGE ANALYSIS. 2021 February; 68 10.1016/j.media.2020.101916

A Deep Convolutional Neural Network Approach for the Segmentation of Cardiac Structures from MRI Sequences

Carscadden A., Noga M., Punithakumar K.

STACOM 2020: Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges. 2021 January; 12592 LNCS 10.1007/978-3-030-68107-4_25

Localization of cementoenamel junction in intraoral ultrasonographs with machine learning

Nguyen K.C.T., Le B.M., Li M., Almeida F.T., Major P.W., Kaipatur N.R., Lou E.H.M., Punithakumar K., Le L.H.

JOURNAL OF DENTISTRY. 2021 January; 10.1016/j.jdent.2021.103752

Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge

Campello V.M., Gkontra P., Izquierdo C., Martin-Isla C., Sojoudi A., Full P.M., Maier-Hein K., Zhang Y., He Z., Ma J., Parreno M., Albiol A., Kong F., Shadden S.C., Acero J.C., Sundaresan V., Saber M., Elattar M., Li H., Menze B., Khader F., Haarburger C., Scannell C.M., Veta M., Carscadden A., Punithakumar K., Liu X., Tsaftaris S.A., Huang X., Yang X., Li L., Zhuang X., Vilades D., Descalzo M.L., Guala A., La Mura L., Friedrich M.G., Garg R., Lebel J., Henriques F., Karakas M., Cavus E., Petersen S.E., Escalera S., Segui S., Palomares J.F.R., Lekadir K.

IEEE TRANSACTIONS ON MEDICAL IMAGING. 2021 January; 10.1109/TMI.2021.3090082

A systematic review on the role of artificial intelligence in sonographic diagnosis of thyroid cancer: Past, present and future

Abdolali F., Shahroudnejad A., Amiri S., Hareendranathan A.R., Jaremko J.L., Noga M., Punithakumar K.

Frontiers in Biomedical Technologies. 2020 December; 7 (4):266-280 10.18502/fbt.v7i4.5324

Fully Automated Deep Learning Based Segmentation of Normal, Infarcted and Edema Regions from Multiple Cardiac MRI Sequences

Zhang X., Noga M., Punithakumar K.

MyoPS 2020: Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images. 2020 December; 12554 LNCS 10.1007/978-3-030-65651-5_8

Fully Automated Deep Learning Based Segmentation of Normal, Infarcted and Edema Regions from Multiple Cardiac MRI Sequences

Zhang X., Noga M., Punithakumar K.

Myocardial Pathology Segmentation Combining Multi-Sequence CMR Challenge. 2020 December; 12554 LNCS 10.1007/978-3-030-65651-5_8

Multiview 3-D Echocardiography Image Fusion with Mutual Information Neural Estimation

Ting J., Punithakumar K., Ray N.

2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2020 December; 10.1109/BIBM49941.2020.9313219

Esophagus Segmentation in Computed Tomography Images Using a U-Net Neural Network with a Semiautomatic Labeling Method

Lou X., Zhu Y., Punithakumar K., Le L.H., Li B.

IEEE Access. 2020 November; 8 10.1109/ACCESS.2020.3035772

Stereoscopic Display Is Superior to Conventional Display for Three-Dimensional Echocardiography of Congenital Heart Anatomy

Harake D., Gnanappa G.K., Alvarez S.G.V., Whittle A., Punithakumar K., Boechler P., Noga M., Khoo N.S.

JOURNAL OF THE AMERICAN SOCIETY OF ECHOCARDIOGRAPHY. 2020 November; 33 (11):1297-1305 10.1016/j.echo.2020.06.016

ANHIR: Automatic Non-Rigid Histological Image Registration Challenge

Borovec J., Kybic J., Arganda-Carreras I., Sorokin D.V., Bueno G., Khvostikov A.V., Bakas S., Chang E.I.C., Heldmann S., Kartasalo K., Latonen L., Lotz J., Noga M., Pati S., Punithakumar K., Ruusuvuori P., Skalski A., Tahmasebi N., Valkonen M., Venet L., Wang Y., Weiss N., Wodzinski M., Xiang Y., Xu Y., Yan Y., Yushkevich P., Zhao S., Munõz-Barrutia A.

IEEE TRANSACTIONS ON MEDICAL IMAGING. 2020 October; 39 (10):3042-3052 10.1109/TMI.2020.2986331