World's Best Scientists 2026 revealed!

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Computer Science

D-Index
38
Citations
7096
World Ranking
10140
National Ranking
4273

Overview

Kayvan Najarian is affiliated with the University of Michigan-Ann Arbor in the United States. Their research primarily focuses on the intersection of medicine and technology, particularly in applying machine learning techniques to healthcare challenges. Najarian has contributed extensively to the field of medicine, with a significant number of publications spanning cardiology, radiology, neurology, and epidemiology.

Their work covers several notable topics, including:

  • Traumatic Brain Injury and Neurovascular Disturbances
  • Machine Learning in Healthcare
  • Colorectal Cancer Screening and Detection
  • Non-Invasive Vital Sign Monitoring
  • Dental Radiography and Imaging
  • Heart Failure Treatment and Management
  • ECG Monitoring and Analysis

Najarian's research has been published frequently in venues such as:

  • Gastroenterology
  • arXiv (Cornell University)
  • Diagnostics
  • BMC Medical Imaging
  • Scientific Reports

Some of the recent papers authored by or involving Najarian include:

  • Homomorphic Encryption for Machine Learning in Medicine and Bioinformatics, 2020, ACM Computing Surveys
  • Osteoarthritis of the Temporomandibular Joint can be diagnosed earlier using biomarkers and machine learning, 2020, Scientific Reports
  • Fully automated endoscopic disease activity assessment in ulcerative colitis, 2020, Gastrointestinal Endoscopy
  • Automatic multi-anatomical skull structure segmentation of cone-beam computed tomography scans using 3D UNETR, 2022, PLoS ONE
  • A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication, 2021, npj Digital Medicine

The scientist collaborates frequently with a core group of coauthors, reflecting an interdisciplinary approach. These frequent collaborators include:

  • Jonathan Gryak
  • Emily Wittrup
  • S. M. Reza Soroushmehr
  • Harm Derksen
  • Jonas Bianchi

Najarian's research spans major medical subfields, including:

  • Cardiology and Cardiovascular Medicine
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Neurology
  • Epidemiology

Best Publications

  • Big Data Analytics in Healthcare

    Ashwin Belle;Raghuram Thiagarajan;S. M. Reza Soroushmehr;Fatemeh Navidi

  • Machine learning approaches and databases for prediction of drug-target interaction: a survey paper.

    Maryam Bagherian;Elyas Sabeti;Kai Wang;Maureen A Sartor

  • Melanoma detection by analysis of clinical images using convolutional neural network

    E. Nasr-Esfahani;S. Samavi;N. Karimi;S.M.R. Soroushmehr

  • Biomedical Signal and Image Processing

    Kayvan Najarian;Robert Splinter

  • Method and apparatus for determining heart rate variability using wavelet transformation

    Kayvan Najarian;Kevin Ward;David Andre;Nisarg Vyas

  • Deep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification

    Alexandr A. Kalinin;Gerald A. Higgins;Narathip Reamaroon;S.M. Reza Soroushmehr

  • Skin lesion segmentation in clinical images using deep learning

    M.H. Jafari;N. Karimi;E. Nasr-Esfahani;S. Samavi

  • Polyp Segmentation in Colonoscopy Images Using Fully Convolutional Network

    Mojtaba Akbari;Majid Mohrekesh;Ebrahim Nasr-Esfahani;S.M. Reza Soroushmehr

  • Homomorphic Encryption for Machine Learning in Medicine and Bioinformatics

    Alexander Wood;Kayvan Najarian;Delaram Kahrobaei

  • Deep learning in pharmacogenomics: from gene regulation to patient stratification.

    Alexandr A Kalinin;Gerald A Higgins;Narathip Reamaroon;Sayedmohammadreza Soroushmehr

  • A Review of Automated Methods for Detection of Myocardial Ischemia and Infarction Using Electrocardiogram and Electronic Health Records

    Sardar Ansari;Negar Farzaneh;Marlena Duda;Kelsey Horan

  • Polyp Segmentation in Colonoscopy Images Using Fully Convolutional Network

    Unknown

  • Osteoarthritis of the Temporomandibular Joint can be diagnosed earlier using biomarkers and machine learning.

    Jonas Bianchi;Jonas Bianchi;Antônio Carlos de Oliveira Ruellas;João Roberto Gonçalves;Beatriz Paniagua

  • Segmentation of vessels in angiograms using convolutional neural networks

    E. Nasr-Esfahani;N. Karimi;M.H. Jafari;S.M.R. Soroushmehr

  • Extraction of skin lesions from non-dermoscopic images for surgical excision of melanoma.

    M. Hossein Jafari;Ebrahim Nasr-Esfahani;Nader Karimi;S. M. Reza Soroushmehr

  • Maximizing strength of digital watermarks using neural networks

    K.J. Davis;K. Najarian

  • Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning

    Zahra Sobhaninia;Shima Rafiei;Ali Emami;Nader Karimi

  • Vessel extraction in X-ray angiograms using deep learning

    E. Nasr-Esfahani;S. Samavi;N. Karimi;S.M.R. Soroushmehr

  • Automated ventricular systems segmentation in brain CT images by combining low-level segmentation and high-level template matching

    Wenan Chen;Rebecca Smith;Soo Yeon Ji;Kevin R. Ward

  • Biomedical Informatics for Computer-Aided Decision Support Systems: A Survey

    Ashwin Belle;Mark A. Kon;Kayvan Najarian

  • Accounting for Label Uncertainty in Machine Learning for Detection of Acute Respiratory Distress Syndrome

    Narathip Reamaroon;Michael W. Sjoding;Kaiwen Lin;Theodore J. Iwashyna

  • Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features

    Unknown

  • Fracture detection in traumatic pelvic CT images

    Jie Wu;Pavani Davuluri;Kevin R. Ward;Charles Cockrell

  • Breast cancer detection in gadolinium-enhanced MR images by static region descriptors and neural networks

    Angelina A. Tzacheva;Kayvan Najarian;John P. Brockway

  • A comparative analysis of multi-level computer-assisted decision making systems for traumatic injuries

    Soo Yeon Ji;Rebecca Smith;Toan Huynh;Kayvan Najarian

  • Extraction of Skin Lesions from Non-Dermoscopic Images Using Deep Learning.

    Mohammad H. Jafari;Ebrahim Nasr-Esfahani;Nader Karimi;S. M. Reza Soroushmehr

  • Private naive bayes classification of personal biomedical data: Application in cancer data analysis.

    Alexander Wood;Alexander Wood;Vladimir Shpilrain;Kayvan Najarian;Delaram Kahrobaei

Frequent Co-Authors

Guy A. Dumont
Guy A. Dumont University of British Columbia
Brian D. Athey
Brian D. Athey University of Michigan–Ann Arbor
Maureen A. Sartor
Maureen A. Sartor University of Michigan–Ann Arbor
Richard Gonzalez
Richard Gonzalez University of Michigan–Ann Arbor
Kira S. Birditt
Kira S. Birditt University of Michigan–Ann Arbor
Weisi Lin
Weisi Lin Nanyang Technological University

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