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Computer Science

D-Index
88
Citations
28550
World Ranking
689
National Ranking
366

Overview

Jasjit S. Suri is affiliated with the University of Idaho in the United States and focuses primarily on research in the field of Medicine. Their work spans several subfields including Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Epidemiology, and Surgery.

Their research topics cover a variety of areas related to cardiovascular and cerebrovascular health and advanced medical imaging techniques. These include:

  • Cerebrovascular and Carotid Artery Diseases
  • Cardiovascular Health and Disease Prevention
  • Cardiac Imaging and Diagnostics
  • Acute Ischemic Stroke Management
  • Radiomics and Machine Learning in Medical Imaging
  • COVID-19 diagnosis using AI
  • Cardiovascular Function and Risk Factors

Suri has contributed to several recent publications in peer-reviewed journals, demonstrating involvement in artificial intelligence, medical imaging, and healthcare economics. Notable recent papers include:

  • "Human activity recognition in artificial intelligence framework: a narrative review" (2022) published in Artificial Intelligence Review
  • "Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment" (2022) published in Healthcare
  • "Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm" (2020) published in Computers in Biology and Medicine
  • "Artificial intelligence-based hybrid deep learning models for image classification: The first narrative review" (2021) published in Computers in Biology and Medicine
  • "An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review" (2022) published in Computers in Biology and Medicine

Frequent collaborators in Suri's research efforts include:

  • Luca Saba
  • Riccardo Cau
  • Narendra N. Khanna
  • John R. Laird
  • Andrew Nicolaides

Suri's work is often published in journals that emphasize diagnostics, medical imaging, and cardiovascular medicine. The most frequent venues for publication are:

  • Diagnostics
  • Computers in Biology and Medicine
  • European Journal of Radiology
  • Cardiovascular Diagnosis and Therapy
  • European Radiology

Best Publications

  • Heart rate variability: a review

    U. Rajendra Acharya;K. Paul Joseph;N. Kannathal;Choo Min Lim

  • Automated EEG analysis of epilepsy: A review

    U. Rajendra Acharya;S. Vinitha Sree;G. Swapna;Roshan Joy Martis

  • Automated diagnosis of epileptic EEG using entropies

    U. Rajendra Acharya;Filippo Molinari;S. Vinitha Sree;Subhagata Chattopadhyay

  • Shape recovery algorithms using level sets in 2-D/3-D medical imagery: a state-of-the-art review

    J.S. Suri;Kecheng Liu;S. Singh;S.N. Laxminarayan

  • A Review on a Deep Learning Perspective in Brain Cancer Classification

    Gopal S. Tandel;Mainak Biswas;Omprakash G. Kakde;Ashish Tiwari

  • Algorithms for the Automated Detection of Diabetic Retinopathy Using Digital Fundus Images: A Review

    Oliver Faust;U Rajendra Acharya;E. Y. Ng;Kwan-Hoong Ng

  • Application of non-linear and wavelet based features for the automated identification of epileptic EEG signals

    U. Rajendra Acharya;S. Vinitha Sree;Peng Chuan Alvin Ang;Ratna Yanti

  • Human activity recognition in artificial intelligence framework: a narrative review

    Unknown

  • The present and future of deep learning in radiology.

    Luca Saba;Mainak Biswas;Venkatanareshbabu Kuppili;Elisa Cuadrado Godia

  • Data mining technique for automated diagnosis of glaucoma using higher order spectra and wavelet energy features

    Muthu Rama Krishnan Mookiah;U. Rajendra Acharya;Choo Min Lim;Andrea Petznick

  • Cerebral Small Vessel Disease: A Review Focusing on Pathophysiology, Biomarkers, and Machine Learning Strategies

    Elisa Cuadrado-Godia;Pratistha Dwivedi;Sanjiv Sharma;Angel Ois Santiago

  • Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers

    Md. Maniruzzaman;Md. Maniruzzaman;Md. Jahanur Rahman;Md. Al-MehediHasan;Harman S. Suri

  • Comparative approaches for classification of diabetes mellitus data

    Md. Maniruzzaman;Nishith Kumar;Md. Menhazul Abedin;Md. Shaykhul Islam

  • Automated diagnosis of Coronary Artery Disease affected patients using LDA, PCA, ICA and Discrete Wavelet Transform

    Donna Giri;U. Rajendra Acharya;Roshan Joy Martis;S. Vinitha Sree

  • Review: A state of the art review on intima-media thickness (IMT) measurement and wall segmentation techniques for carotid ultrasound

    Filippo Molinari;Guang Zeng;Jasjit S. Suri

  • Use of principal component analysis for automatic classification of epileptic EEG activities in wavelet framework

    U. Rajendra Acharya;S. Vinitha Sree;Ang Peng Chuan Alvin;Jasjit S. Suri

  • Automatic detection of epileptic EEG signals using higher order cumulant features.

    U Rajendra Acharya;S Vinitha Sree;Jasjit S Suri

  • Multiclass magnetic resonance imaging brain tumor classification using artificial intelligence paradigm.

    Gopal S. Tandel;Antonella Balestrieri;Tanay Jujaray;Narender N. Khanna

  • Characterization of a Completely User-Independent Algorithm for Carotid Artery Segmentation in 2-D Ultrasound Images

    S. Delsanto;F. Molinari;P. Giustetto;W. Liboni

  • Linear and nonlinear analysis of normal and CAD-affected heart rate signals

    U. Rajendra Acharya;Oliver Faust;Vinitha Sree;G. Swapna

  • Breast image registration techniques: a survey.

    Yujun Guo;Radhika Sivaramakrishna;Cheng-Chang Lu;Jasjit S. Suri

  • A review on MR vascular image processing: skeleton versus nonskeleton approaches: part II

    J.S. Suri;Kecheng Liu;L. Reden;S. Laxminarayan

Frequent Co-Authors

U. Rajendra Acharya
U. Rajendra Acharya University of Southern Queensland
Filippo Molinari
Filippo Molinari Polytechnic University of Turin
Ayman El-Baz
Ayman El-Baz University of Louisville
S. Vinitha Sree
S. Vinitha Sree Nanyang Technological University
Rangaraj M. Rangayyan
Rangaraj M. Rangayyan University of Calgary
Georgy Gimel'farb
Georgy Gimel'farb University of Auckland
Nilanjan Dey
Nilanjan Dey Techno International New Town
Eddie Y. K. Ng
Eddie Y. K. Ng Nanyang Technological University
Oliver Faust
Oliver Faust Sheffield Hallam University
Petia Radeva
Petia Radeva University of Barcelona

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