World's Best Scientists 2026 revealed!
James S. Duncan

James S. Duncan

D-Index & Metrics

Computer Science

D-Index
69
Citations
24509
World Ranking
1939
National Ranking
981

Research.com Recognitions

  • 2001 - IEEE Fellow For contributions to medical image analysis and computer vision.
  • 2000 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

James S. Duncan is affiliated with Yale University in the United States and has an extensive publication record in the areas of medicine and computer science. Their research primarily focuses on the intersection of medical imaging and computational techniques.

The scientist's main fields of study include:

  • Medicine
  • Computer Science

Their subfields of study are diverse and specialized, encompassing:

  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Biomedical Engineering
  • Cardiology and Cardiovascular Medicine

James S. Duncan's research covers several prominent topics related to medical imaging and machine learning:

  • Medical Imaging Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced Neural Network Applications
  • Advanced MRI Techniques and Applications
  • Domain Adaptation and Few-Shot Learning
  • Medical Image Segmentation Techniques
  • Cardiac Valve Diseases and Treatments

Some of their recent papers include:

  • "BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis," 2021, Medical Image Analysis
  • "Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results," 2020, Medical Image Analysis
  • "SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation," 2022, IEEE Transactions on Medical Imaging
  • "AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients," 2020, arXiv (Cornell University)

The scientist has collaborated frequently with other researchers, notably:

  • Lawrence H. Staib
  • Nicha C. Dvornek
  • Chi Liu
  • Albert J. Sinusas
  • Chenyu You

James S. Duncan has published extensively in select venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Medical Imaging
  • Medical Image Analysis
  • Lecture Notes in Computer Science
  • Circulation

In terms of recognition, they have been awarded the following distinctions:

  • IEEE Fellow (2001), for contributions to medical image analysis and computer vision
  • Fellow of the Indian National Academy of Engineering (INAE) (2000)

Best Publications

  • Medical image analysis: progress over two decades and the challenges ahead

    J.S. Duncan;N. Ayache

  • A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises

    S. Kevin Zhou;Hayit Greenspan;Christos Davatzikos;James S. Duncan

  • Boundary finding with parametrically deformable models

    L.H. Staib;J.S. Duncan

  • Objective comparison of particle tracking methods

    Nicolas Chenouard;Ihor Smal;Fabrice de Chaumont;Martin Maška;Martin Maška

  • Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005

    James S. Duncan;Guido Gerig

  • BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis

    Xiaoxiao Li;Xiaoxiao Li;Yuan Zhou;Nicha Dvornek;Muhan Zhang

  • Deformable boundary finding in medical images by integrating gradient and region information

    A. Chakraborty;L.H. Staib;J.S. Duncan

  • Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results

    Xiaoxiao Li;Yufeng Gu;Nicha C. Dvornek;Lawrence H. Staib

  • Segmentation and measurement of the cortex from 3-D MR images using coupled-surfaces propagation

    Xiaolan Zeng;L.H. Staib;R.T. Schultz;J.S. Duncan

  • Medical Image Databases: A Content-based Retrieval Approach

    Hemant D. Tagare;C. Carl Jaffe;James S. Duncan

  • Positron emission tomography measurement of cerebral metabolic correlates of tryptophan depletion-induced depressive relapse

    J. D. Bremner;R. B. Innis;R. M. Salomon;L. H. Staib

  • Model-based deformable surface finding for medical images

    L.H. Staib;J.S. Duncan

  • Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI.

    Charlie A Hamm;Charlie A Hamm;Clinton J Wang;Lynn J Savic;Lynn J Savic;Marc Ferrante

  • AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

    Juntang Zhuang;Tommy Tang;Yifan Ding;Sekhar C. Tatikonda

  • Estimation of 3-D left ventricular deformation from medical images using biomechanical models

    X. Papademetris;A.J. Sinusas;D.P. Dione;R.T. Constable

  • SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation.

    Chenyu You;Yuan Zhou;Ruihan Zhao;Lawrence H. Staib

  • Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks.

    Nicha C. Dvornek;Pamela Ventola;Kevin A. Pelphrey;James S. Duncan

  • Estimation of 3D left ventricular deformation from echocardiography

    Xenophon Papademetris;Albert J. Sinusas;Donald P. Dione;James S. Duncan

  • A robust point-matching algorithm for autoradiograph alignment

    Anand Rangarajan;Haili Chui;Eric Mjolsness;Suguna Pappu

  • Model-driven brain shift compensation.

    Oskar M. Skrinjar;Arya Nabavi;James S. Duncan

  • Segmentation and Measurement of the Cortex from 3D MR Images

    Xiaolan Zeng;Lawrence H. Staib;Robert T. Schultz;James S. Duncan

  • BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis

    Xiaoxiao Li;Yuan Zhou;Siyuan Gao;Nicha Dvornek

  • Medical image analysis

    Baba C. Vemuri;James S. Duncan

Frequent Co-Authors

Matthew O'Donnell
Matthew O'Donnell University of Washington
Robert T. Schultz
Robert T. Schultz Children's Hospital of Philadelphia
R. Todd Constable
R. Todd Constable Yale University
Anand Rangarajan
Anand Rangarajan University of Florida
Dennis D. Spencer
Dennis D. Spencer Yale University
Derek Toomre
Derek Toomre Yale University
Pietro De Camilli
Pietro De Camilli Yale University
Kevin A. Pelphrey
Kevin A. Pelphrey University of Virginia
Edward J. Novotny
Edward J. Novotny University of Washington
Arye Nehorai
Arye Nehorai Washington University in St. Louis

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