James S. Duncan

22.5k total citations · 8 hit papers
336 papers, 12.7k citations indexed

About

James S. Duncan is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, James S. Duncan has authored 336 papers receiving a total of 12.7k indexed citations (citations by other indexed papers that have themselves been cited), including 150 papers in Radiology, Nuclear Medicine and Imaging, 144 papers in Computer Vision and Pattern Recognition and 66 papers in Biomedical Engineering. Recurrent topics in James S. Duncan's work include Medical Image Segmentation Techniques (117 papers), Medical Imaging Techniques and Applications (56 papers) and Cardiac Valve Diseases and Treatments (44 papers). James S. Duncan is often cited by papers focused on Medical Image Segmentation Techniques (117 papers), Medical Imaging Techniques and Applications (56 papers) and Cardiac Valve Diseases and Treatments (44 papers). James S. Duncan collaborates with scholars based in United States, Germany and China. James S. Duncan's co-authors include Nicholas Ayache, Lawrence H. Staib, Albert J. Sinusas, Nicha C. Dvornek, Xenophon Papademetris, Pamela Ventola, Trevor J. Barnes, Robert A. Rundstrom, Xiaoxiao Li and R. Todd Constable and has published in prestigious journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

James S. Duncan

319 papers receiving 12.0k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

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

2000 2.5k citations James S. Duncan et al. profile →
Boundary finding with parametrically deformable models

1992 516 citations Lawrence H. Staib, James S. Duncan profile →
MRI and PET Study of Deficits in Hippocampal Structure and Function in Women With Childhood Sexual Abuse and Posttraumatic Stress Disorder

2003 512 citations Lawrence H. Staib, James S. Duncan et al. profile →
Writing Worlds: Discourse, Text, and Metaphor in the Representation of Landscape

1993 427 citations James S. Duncan et al. profile →
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis

2021 351 citations Nicha C. Dvornek, Juntang Zhuang et al. profile →
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results

2020 268 citations Nicha C. Dvornek, Lawrence H. Staib et al. profile →
Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI

2019 245 citations Lynn Jeanette Savic, Todd Schlachter et al. profile →
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation

2022 213 citations Chenyu You, Lawrence H. Staib et al. IEEE Transactions on Medical Imaging profile →

Peers

Countries citing papers authored by James S. Duncan

Since Specialization

Citations

This map shows the geographic impact of James S. Duncan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James S. Duncan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James S. Duncan more than expected).

Fields of papers citing papers by James S. Duncan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James S. Duncan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James S. Duncan. The network helps show where James S. Duncan may publish in the future.

Co-authorship network of co-authors of James S. Duncan

This figure shows the co-authorship network connecting the top 25 collaborators of James S. Duncan. A scholar is included among the top collaborators of James S. Duncan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James S. Duncan. James S. Duncan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Noninvasive Tumor Profiling: Quantitative Contrast-enhanced MRI Markers Help Predict PD-L1 and CTNNB1 Status in Hepatocellular Carcinoma 2025 ·Radiology ·(unknown), (unknown), Margarita V. Revzin, Tal Zeevi, (unknown), (unknown), (unknown), Edward A. Meister, (unknown), (unknown), Khaled Bousabarah, Ramesh Batra, Mario Strazzabosco, MingDe Lin, Bernhard Gebauer, Lynn Jeanette Savic, James S. Duncan, David C. Madoff, Xuchen Zhang, Julius Chapiro	0
2	Robust automated calcification meshing for personalized cardiovascular biomechanics 2024 ·npj Digital Medicine ·(unknown), Minliang Liu, (unknown), (unknown), Raymond G. McKay, Ellen T. Roche, Rudolph L. Gleason, James S. Duncan	1
3	Multi-Task Learning for Motion Analysis and Segmentation in 3D Echocardiography 2024 ·IEEE Transactions on Medical Imaging ·(unknown), (unknown), Stephanie Thorn, John C. Stendahl, Xiaoran Zhang, (unknown), Lawrence H. Staib, Albert J. Sinusas, James S. Duncan	7
4	Prior knowledge-guided vision-transformer-based unsupervised domain adaptation for intubation prediction in lung disease at one week 2024 ·Computerized Medical Imaging and Graphics ·Junlin Yang, (unknown), Nicha C. Dvornek, (unknown), (unknown), (unknown), (unknown), Aurélie Pahud de Mortanges, (unknown), Christopher Gange, Roberta Eufrasia Ledda, Mario Silva, Charles S. Dela Cruz, Wolf E. Hautz, Harald Bonél, Mauricio Reyes, Lawrence H. Staib, Alexander Poellinger, James S. Duncan	0
5	Coordinate-Independent 3-D Ultrasound Principal Stretch and Direction Imaging 2024 ·IEEE Transactions on Biomedical Engineering ·Geng-Shi Jeng, (unknown), (unknown), Zhao Liu, (unknown), (unknown), Lawrence H. Staib, John C. Stendahl, Stephanie Thorn, Albert J. Sinusas, James S. Duncan, Matthew O’Donnell	1
6	Effect of Incomplete Cryoablation and Matrix Metalloproteinase Inhibition on Intratumoral CD8⁺ T-Cell Infiltration in Murine Hepatocellular Carcinoma 2024 ·Radiology ·(unknown), (unknown), David Nam, (unknown), (unknown), (unknown), Sandeep K. Mishra, Daniel Coman, James S. Duncan, Scott Roberts, Axel Wetter, David C. Madoff, Julius Chapiro	5
7	Learning Sequential Information in Task-Based fMRI for Synthetic Data Augmentation 2023 ·Lecture notes in computer science ·Jiyao Wang, Nicha C. Dvornek, Lawrence H. Staib, James S. Duncan	1
8	Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts 2023 ·Lecture notes in computer science ·Chenyu You, (unknown), Yifei Min, Lawrence H. Staib, James S. Duncan	35
9	Multiaxial pressure-strain analysis of regional myocardial work in the setting of graded coronary stenoses and dobutamine stress 2023 ·American Journal of Physiology-Heart and Circulatory Physiology ·John C. Stendahl, Zhao Liu, Nabil E. Boutagy, (unknown), (unknown), (unknown), Ben A. Lin, James S. Duncan, Albert J. Sinusas	1
10	3D Capsule Networks for Brain Image Segmentation 2023 ·American Journal of Neuroradiology ·(unknown), (unknown), Mariam Aboian, James S. Duncan, Harlan M. Krumholz, Sanjay Aneja	9
11	Patient-Specific Heart Geometry Modeling for Solid Biomechanics Using Deep Learning 2023 ·IEEE Transactions on Medical Imaging ·(unknown), Minliang Liu, Theodore Kim, Liang Liang, Andrés Caballero, John A. Onofrey, (unknown), (unknown), Raymond G. McKay, Wei Sun, Rudolph L. Gleason, James S. Duncan	5
12	Quantitative Automated Segmentation of Lipiodol Deposits on Cone-Beam CT Imaging Acquired during Transarterial Chemoembolization for Liver Tumors: A Deep Learning Approach 2021 ·Journal of Vascular and Interventional Radiology ·Rohil Malpani, (unknown), Junlin Yang, (unknown), Tal Zeevi, (unknown), (unknown), (unknown), (unknown), Todd Schlachter, David C. Madoff, Julius Chapiro, James S. Duncan, MingDe Lin	7
13	MALI: A memory efficient and reverse accurate integrator for Neural ODEs 2021 ·arXiv (Cornell University) ·Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan	1
14	Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation 2021 ·IEEE Transactions on Medical Imaging ·(unknown), (unknown), (unknown), (unknown), John C. Stendahl, Zhao Liu, Nabil E. Boutagy, Geng-Shi Jeng, Lawrence H. Staib, Matthew O’Donnell, Albert J. Sinusas, James S. Duncan	13
15	Imaging of Injectable Hydrogels Delivered into Myocardium with SPECT/CT 2020 ·Advanced Healthcare Materials ·Selen Uman, Leo Wang, Stephanie Thorn, Zhao Liu, James S. Duncan, Albert J. Sinusas, Jason A. Burdick	26
16	Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification 2020 ·IEEE Transactions on Medical Imaging ·Fan Zhang, Nicha C. Dvornek, Junlin Yang, Julius Chapiro, James S. Duncan	7
17	Efficient Two-Pass 3-D Speckle Tracking for Ultrasound Imaging 2018 ·IEEE Access ·Geng-Shi Jeng, Maria Zontak, (unknown), (unknown), (unknown), Albert J. Sinusas, James S. Duncan, Matthew O’Donnell	6
18	Proceedings of the 15th International Conference on Information Processing in Medical Imaging 1997 ·James S. Duncan, Gene Gindi	8
19	MRI neuroanatomy : a new angle on the brain 1996 ·Churchill Livingstone eBooks ·Graeme D. Jackson, James S. Duncan	30
20	Meetings 1975 ·Canadian Journal of Anesthesia/Journal canadien d anesthésie ·(unknown), James S. Duncan, (unknown), (unknown)	1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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