World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
10406
World Ranking
5343
National Ranking
207

Research.com Recognitions

  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering

Overview

Purang Abolmaesumi is affiliated with the University of British Columbia in Canada. Their research primarily spans the fields of Medicine and Computer Science, with a particular focus on specialized subfields including Cardiology and Cardiovascular Medicine, Artificial Intelligence, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, and Surgery.

The scientist's work covers a range of topics, notably:

  • AI in cancer detection
  • Prostate Cancer Diagnosis and Treatment
  • Cardiac Valve Diseases and Treatments
  • Cardiovascular Function and Risk Factors
  • Cardiac Imaging and Diagnostics
  • Phonocardiography and Auscultation Techniques
  • Ultrasound in Clinical Applications

Among their recent papers are:

  • "FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare," 2023, published in arXiv (Cornell University)
  • "Improving detection of prostate cancer foci via information fusion of MRI and temporal enhanced ultrasound," 2020, International Journal of Computer Assisted Radiology and Surgery
  • "Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound," 2023, IEEE Journal of Biomedical and Health Informatics
  • "Cardiac point-of-care to cart-based ultrasound translation using constrained CycleGAN," 2020, International Journal of Computer Assisted Radiology and Surgery
  • "Transformer-Based Spatio-Temporal Analysis for Classification of Aortic Stenosis Severity From Echocardiography Cine Series," 2023, IEEE Transactions on Medical Imaging

Frequent co-authors in their publications include Teresa S.M. Tsang, Parvin Mousavi, Christina Luong, Fahimeh Fooladgar, and Minh Nguyen Nhat To.

Their work has appeared multiple times in key publication venues such as:

  • arXiv (Cornell University)
  • International Journal of Computer Assisted Radiology and Surgery
  • Canadian Journal of Cardiology
  • IEEE Transactions on Medical Imaging
  • HAL (Le Centre pour la Communication Scientifique Directe)

Purang Abolmaesumi has contributed to several book publications primarily through Springer Science+Business Media, with multiple editions of "Medical Image Computing and Computer Assisted Intervention - MICCAI 2020," and has one publication with Centre National de la Recherche Scientifique.

The scientist's contributions have also been recognized by an award from The Canadian Academy of Engineering.

Best Publications

  • Image-guided control of a robot for medical ultrasound

    P. Abolmaesumi;S.E. Salcudean;Wen-Hong Zhu;M.R. Sirouspour

  • Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation

    Mohsen Ghafoorian;Mohsen Ghafoorian;Alireza Mehrtash;Alireza Mehrtash;Tina Kapur;Nico Karssemeijer

  • Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation

    Alireza Mehrtash;William M. Wells;Clare M. Tempany;Purang Abolmaesumi

  • Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation

    Alireza Mehrtash;William M. Wells;Clare M. Tempany;Purang Abolmaesumi

  • A software implementation of a genetic algorithm based approach to network intrusion detection

    Ren Hui Gong;M. Zulkernine;P. Abolmaesumi

  • Speckle Noise Reduction of Medical Ultrasound Images in Complex Wavelet Domain Using Mixture Priors

    H. Rabbani;M. Vafadust;P. Abolmaesumi;S. Gazor

  • Lumbar Spine Segmentation Using a Statistical Multi-Vertebrae Anatomical Shape+Pose Model

    Abtin Rasoulian;Robert Rohling;Purang Abolmaesumi

  • Automatic grading of prostate cancer in digitized histopathology images: Learning from multiple experts.

    Guy Nir;Soheil Hor;Davood Karimi;Ladan Fazli

  • High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models

    James P. Monaco;John E. Tomaszewski;Michael D. Feldman;Ian Hagemann

  • Point-Based Rigid-Body Registration Using an Unscented Kalman Filter

    M.H. Moghari;P. Abolmaesumi

  • Robot-Assisted Diagnostic Ultrasound - Design and Feasibility Experiments

    S. E. Salcudean;G. Bell;S. Bachmann;W. H. Zhu

  • A Robot System for Medical Ultrasound

    S. E. Salcudean;W. H. Zhu;P. Abolmaesumi;S. Bachmann

  • Correction to “Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks: Feasibility on the Apical Four-Chamber View”

    Amir H. Abdi;Christina Luong;Teresa Tsang;Gregory Allan

  • A multi-center milestone study of clinical vertebral CT segmentation

    Jianhua Yao;Joseph E. Burns;Daniel Forsberg;Alexander Seitel

  • An interacting multiple model probabilistic data association filter for cavity boundary extraction from ultrasound images

    P. Abolmaesumi;M.R. Sirouspour

  • A Real-Time Freehand Ultrasound Calibration System with Automatic Accuracy Feedback and Control

    Thomas Kuiran Chen;Adrian D. Thurston;Randy E. Ellis;Randy E. Ellis;Purang Abolmaesumi

  • Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images.

    Davood Karimi;Qi Zeng;Prateek Mathur;Apeksha Avinash

  • Real-time extraction of carotid artery contours from ultrasound images

    P. Abolmaesumi;M.R. Sirouspour;S.E. Salcudean

  • Augmenting Detection of Prostate Cancer in Transrectal Ultrasound Images Using SVM and RF Time Series

    M. Moradi;P. Mousavi;A.H. Boag;E.E. Sauerbrei

  • A user interface for robot-assisted diagnostic ultrasound

    P. Abolmaesumi;S.E. Salcudean;W.H. Zhu;S.P. DiMaio

  • An Augmented Reality Haptic Training Simulator for Spinal Needle Procedures

    Colin Sutherland;Keyvan Hashtrudi-Zaad;Rick Sellens;Purang Abolmaesumi

  • Classification of Clinical Significance of MRI Prostate Findings Using 3D Convolutional Neural Networks.

    Alireza Mehrtash;Alireza Sedghi;Mohsen Ghafoorian;Mehdi Taghipour

Frequent Co-Authors

Robert Rohling
Robert Rohling University of British Columbia
Septimiu E. Salcudean
Septimiu E. Salcudean University of British Columbia
Gabor Fichtinger
Gabor Fichtinger Queen's University
Ingrid S. Johnsrude
Ingrid S. Johnsrude University of Western Ontario
Sidney Fels
Sidney Fels University of British Columbia
Randy E. Ellis
Randy E. Ellis Queen's University
Aaron Fenster
Aaron Fenster University of Western Ontario
Pingkun Yan
Pingkun Yan Rensselaer Polytechnic Institute
Tina Kapur
Tina Kapur Brigham and Women's Hospital
Keyvan Hashtrudi-Zaad
Keyvan Hashtrudi-Zaad Queen's University

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