James Duncan

Affiliations: 
Biomedical Engineering Yale University, New Haven, CT 
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"James Duncan"

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Ravi Bansal grad student 2000 Yale
Xenophon Papademetris grad student 2000 Yale
Xiaolan Zeng grad student 2000 Yale
Oskar Skrinjar grad student 2002 Yale
Reshma Munbodh grad student 2004 Yale
Ning Lin grad student 2006 Yale
Christine DeLorenzo grad student 2007 Yale
Deepti R. Bathula grad student 2009 Yale
William H. Greene grad student 2009 Yale
Paul C. Pearlman grad student 2011 Yale
Nicha C. Dvornek grad student 2012 Yale
Roger J. Jou grad student 2012 Yale
Colin B. Compas grad student 2013 Yale
Xiaojie Huang grad student 2014 Yale
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Publications

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Coman D, Peters DC, Walsh JJ, et al. (2019) Extracellular pH mapping of liver cancer on a clinical 3T MRI scanner. Magnetic Resonance in Medicine
Savic LJ, Schobert I, Peters D, et al. (2019) Molecular imaging of extracellular tumor pH to reveal effects of loco-regional therapy on liver cancer microenvironment. Clinical Cancer Research : An Official Journal of the American Association For Cancer Research
Parajuli N, Lu A, Ta K, et al. (2019) Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis. Medical Image Analysis. 55: 116-135
Dvornek NC, Yang D, Ventola P, et al. (2018) Learning Generalizable Recurrent Neural Networks from Small Task-fMRI Datasets. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 11072: 329-337
Jeng GS, Zontak M, Parajuli N, et al. (2018) Efficient Two-Pass 3-D Speckle Tracking for Ultrasound Imaging. Ieee Access : Practical Innovations, Open Solutions. 6: 17415-17428
Dvornek NC, Ventola P, Duncan JS. (2018) COMBINING PHENOTYPIC AND RESTING-STATE FMRI DATA FOR AUTISM CLASSIFICATION WITH RECURRENT NEURAL NETWORKS. Proceedings. Ieee International Symposium On Biomedical Imaging. 2018: 725-728
Treilhard J, Smolka S, Staib L, et al. (2017) Liver tissue classification in patients with hepatocellular carcinoma by fusing structured and rotationally invariant context representation. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 10435: 81-88
Dvornek NC, Ventola P, Pelphrey KA, et al. (2017) Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks. Machine Learning in Medical Imaging. Mlmi (Workshop). 10541: 362-370
Venkataraman A, Yang D, Pelphrey K, et al. (2016) Bayesian Community Detection in the Space of Group-Level Functional Differences. Ieee Transactions On Medical Imaging
Zhang F, Kanik J, Mansi T, et al. (2016) Towards patient-specific modeling of mitral valve repair: 3D transesophageal echocardiography-derived parameter estimation. Medical Image Analysis. 35: 599-609
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