☰ BME Tree

James Duncan

Affiliations:

Biomedical Engineering

Yale University, New Haven, CT

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Parents

Alexander A. Sawchuk

grad student

USC (E-Tree)

Children

Pengcheng Shi	grad student		Yale (Computer Science Tree)
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
Deepti R Bathula	grad student	2003-2009	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

Collaborators

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Publications

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Cai Z, Zeng T, Lieffrig EV, et al. (2023) Cross-Attention for Improved Motion Correction in Brain PET. Machine Learning in Clinical Neuroimaging : 6th International Workshop, Mlcn 2023, Held in Conjunction With Miccai 2023, Vancouver, Bc, Canada, October 8, 2023, Proceedings. Mlcn (Workshop) (6th : 2023 : Vancouver, B.C.). 14312: 34-45
Pak DH, Liu M, Kim T, et al. (2023) Patient-specific Heart Geometry Modeling for Solid Biomechanics using Deep Learning. Ieee Transactions On Medical Imaging
Chen X, Zhou B, Xie H, et al. (2023) DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT. Medical Image Analysis. 88: 102840
You C, Zhao R, Staib L, et al. (2022) Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 13434: 639-652
You C, Xiang J, Su K, et al. (2022) Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation. Distributed, Collaborative, and Federated Learning, and Affordable Ai and Healthcare For Resource Diverse Global Health : Third Miccai Workshop, Decaf 2022 and Second Miccai Workshop, Fair 2022, Held in Conjunction With Miccai 2022, Sin.... 13573: 3-16
Ahn SS, Ta K, Thorn SL, et al. (2022) Co-attention spatial transformer network for unsupervised motion tracking and cardiac strain analysis in 3D echocardiography. Medical Image Analysis. 84: 102711
You C, Zhou Y, Zhao R, et al. (2022) SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation. Ieee Transactions On Medical Imaging
Ahn SS, Ta K, Thorn S, et al. (2021) Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography. Medical Image Computing and Computer-Assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-Assisted Intervention. 12901: 348-357
Li X, Zhou Y, Dvornek N, et al. (2021) BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis. Medical Image Analysis. 74: 102233
Ta K, Ahn SS, Stendahl JC, et al. (2021) SHAPE-REGULARIZED UNSUPERVISED LEFT VENTRICULAR MOTION NETWORK WITH SEGMENTATION CAPABILITY IN 3D+TIME ECHOCARDIOGRAPHY. Proceedings. Ieee International Symposium On Biomedical Imaging. 2021: 536-540

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