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Jim Duncan 0001
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- affiliation: Yale University, New Haven, Connecticut, USA
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2020 – today
- 2022
[j75]Bo Zhou, Xiongchao Chen, S. Kevin Zhou, James S. Duncan, Chi Liu:
DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography. Medical Image Anal. 75: 102289 (2022)- [i34]Chenyu You, Ruihan Zhao, Fenglin Liu, Sandeep Chinchali, Ufuk Topcu, Lawrence H. Staib, James S. Duncan:
Class-Aware Generative Adversarial Transformers for Medical Image Segmentation. CoRR abs/2201.10737 (2022) - [i33]Bo Zhou, Jo Schlemper, Neel Dey, Seyed Sadegh Mohseni Salehi, Chi Liu, James S. Duncan, Michal Sofka:
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction. CoRR abs/2201.10776 (2022) - [i32]Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu:
Surrogate Gap Minimization Improves Sharpness-Aware Training. CoRR abs/2203.08065 (2022) - 2021
- [j74]Bo Zhou
, Zachary Augenfeld, Julius Chapiro, S. Kevin Zhou, Chi Liu, James S. Duncan:
Anatomy-guided multimodal registration by learning segmentation without ground truth: Application to intraprocedural CBCT/MR liver segmentation and registration. Medical Image Anal. 71: 102041 (2021) - [j73]Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Siyuan Gao, Juntang Zhuang, Dustin Scheinost, Lawrence H. Staib, Pamela Ventola, James S. Duncan:
BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis. Medical Image Anal. 74: 102233 (2021) - [j72]S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers:
A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises. Proc. IEEE 109(5): 820-838 (2021) - [j71]Bo Zhou, S. Kevin Zhou, James S. Duncan, Chi Liu:
Limited View Tomographic Reconstruction Using a Cascaded Residual Dense Spatial-Channel Attention Network With Projection Data Fidelity Layer. IEEE Trans. Medical Imaging 40(7): 1792-1804 (2021) - [j70]Allen Lu, Shawn S. Ahn, Kevinminh Ta, Nripesh Parajuli, John C. Stendahl, Zhao Liu, Nabil Boutagy, Geng-Shi Jeng, Lawrence H. Staib, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Learning-Based Regularization for Cardiac Strain Analysis via Domain Adaptation. IEEE Trans. Medical Imaging 40(9): 2233-2245 (2021) - [j69]Bo Zhou, Yu-Jung Tsai, Xiongchao Chen, James S. Duncan, Chi Liu:
MDPET: A Unified Motion Correction and Denoising Adversarial Network for Low-Dose Gated PET. IEEE Trans. Medical Imaging 40(11): 3154-3164 (2021) - [c174]Siyuan Dong, Gilbert Hangel, Wolfgang Bogner, Siegfried Trattnig, Karl Rössler, Georg Widhalm, Henk M. De Feyter, Robin A. de Graaf, James S. Duncan:
High-Resolution Magnetic Resonance Spectroscopic Imaging using a Multi-Encoder Attention U-Net with Structural and Adversarial Loss. EMBC 2021: 2891-2895 - [c173]Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan:
MALI: A memory efficient and reverse accurate integrator for Neural ODEs. ICLR 2021 - [c172]Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, Xenophon Papademetris, Pamela Ventola, James S. Duncan:
Multiple-Shooting Adjoint Method for Whole-Brain Dynamic Causal Modeling. IPMI 2021: 58-70 - [c171]Daniel H. Pak, Minliang Liu, Shawn S. Ahn, Andrés Caballero, John A. Onofrey, Liang Liang, Wei Sun, James S. Duncan:
Weakly Supervised Deep Learning for Aortic Valve Finite Element Mesh Generation from 3D CT Images. IPMI 2021: 637-648 - [c170]Kevinminh Ta, Shawn S. Ahn, John C. Stendahl, Albert J. Sinusas, James S. Duncan:
Shape-Regularized Unsupervised Left Ventricular Motion Network With Segmentation Capability In 3d+ Time Echocardiography. ISBI 2021: 536-540 - [c169]Bo Zhou, Rui Wang, Ming-Kai Chen, Adam P. Mecca, Ryan S. O'Dell, Christopher H. van Dyck, Richard E. Carson, James S. Duncan, Chi Liu:
Synthesizing Multi-tracer PET Images for Alzheimer's Disease Patients Using a 3D Unified Anatomy-Aware Cyclic Adversarial Network. MICCAI (6) 2021: 34-43 - [c168]Bo Zhou, Chi Liu, James S. Duncan:
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation Without Ground-Truth. MICCAI (1) 2021: 47-56 - [c167]Shawn S. Ahn, Kevinminh Ta, Stephanie Thorn, Jonathan Langdon, Albert J. Sinusas, James S. Duncan:
Multi-frame Attention Network for Left Ventricle Segmentation in 3D Echocardiography. MICCAI (1) 2021: 348-357 - [c166]Daniel H. Pak, Minliang Liu, Theodore Kim, Liang Liang, Raymond McKay, Wei Sun, James S. Duncan:
Distortion Energy for Deep Learning-Based Volumetric Finite Element Mesh Generation for Aortic Valves. MICCAI (6) 2021: 485-494 - [c165]Juntang Zhuang, Yifan Ding, Tommy Tang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan:
Momentum Centering and Asynchronous Update for Adaptive Gradient Methods. NeurIPS 2021: 28249-28260 - [c164]Kevinminh Ta, Shawn S. Ahn, John C. Stendahl, Jonathan Langdon, Albert J. Sinusas, James S. Duncan:
Simultaneous Segmentation and Motion Estimation of Left Ventricular Myocardium in 3D Echocardiography Using Multi-task Learning. STACOM@MICCAI 2021: 123-131 - [i31]Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan:
MALI: A memory efficient and reverse accurate integrator for Neural ODEs. CoRR abs/2102.04668 (2021) - [i30]Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, Xenophon Papademetris, Pamela Ventola, James S. Duncan:
Multiple-shooting adjoint method for whole-brain dynamic causal modeling. CoRR abs/2102.11013 (2021) - [i29]Bo Zhou, Zachary Augenfeld, Julius Chapiro, S. Kevin Zhou, Chi Liu, James S. Duncan:
Anatomy-guided Multimodal Registration by Learning Segmentation without Ground Truth: Application to Intraprocedural CBCT/MR Liver Segmentation and Registration. CoRR abs/2104.07056 (2021) - [i28]Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity. CoRR abs/2104.07654 (2021) - [i27]Nicha C. Dvornek, Pamela Ventola, James S. Duncan:
Estimating Reproducible Functional Networks Associated with Task Dynamics using Unsupervised LSTMs. CoRR abs/2105.02869 (2021) - [i26]Chenyu You, Ruihan Zhao, Lawrence H. Staib, James S. Duncan:
Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation. CoRR abs/2105.07059 (2021) - [i25]Bo Zhou, Chi Liu, James S. Duncan:
Anatomy-Constrained Contrastive Learning for Synthetic Segmentation without Ground-truth. CoRR abs/2107.05482 (2021) - [i24]Bo Zhou, Rui Wang, Ming-Kai Chen, Adam P. Mecca, Ryan S. O'Dell, Christopher H. van Dyck, Richard E. Carson, James S. Duncan, Chi Liu:
Synthesizing Multi-Tracer PET Images for Alzheimer's Disease Patients using a 3D Unified Anatomy-aware Cyclic Adversarial Network. CoRR abs/2107.05491 (2021) - [i23]Chenyu You, Yuan Zhou, Ruihan Zhao, Lawrence H. Staib, James S. Duncan:
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation. CoRR abs/2108.06227 (2021) - [i22]Juntang Zhuang, Yifan Ding, Tommy Tang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan:
Momentum Centering and Asynchronous Update for Adaptive Gradient Methods. CoRR abs/2110.05454 (2021) - 2020
- [j68]Xiaoxiao Li, Yufeng Gu, Nicha C. Dvornek, Lawrence H. Staib, Pamela Ventola, James S. Duncan:
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results. Medical Image Anal. 65: 101765 (2020) - [j67]James S. Duncan, Michael F. Insana, Nicholas Ayache:
Biomedical Imaging and Analysis in the Age of Big Data and Deep Learning. Proc. IEEE 108(1): 3-10 (2020) - [j66]Fan Zhang, Nicha C. Dvornek, Junlin Yang, Julius Chapiro, Jim Duncan:
Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification. IEEE Trans. Medical Imaging 39(11): 3331-3342 (2020) - [c163]Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Sekhar Tatikonda, Xenophon Papademetris, James S. Duncan:
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. ICML 2020: 11639-11649 - [c162]Zachary Augenfeld, Ming De Lin, Julius Chapiro, James S. Duncan:
Automatic Multimodal Registration via Intraprocedural Cone-Beam CT Segmentation using MRI Distance Maps. ISBI 2020: 1-4 - [c161]Nicha C. Dvornek, Pamela Ventola, James S. Duncan:
Estimating Reproducible Functional Networks Associated with Task Dynamics Using Unsupervised LSTMS. ISBI 2020: 1-4 - [c160]Kevinminh Ta, Shawn S. Ahn, Allen Lu, John C. Stendahl, Albert J. Sinusas, James S. Duncan:
A Semi-Supervised Joint Learning Approach to Left Ventricular Segmentation and Motion Tracking in Echocardiography. ISBI 2020: 1734-1737 - [c159]Daniel H. Pak, Andrés Caballero, Wei Sun, James S. Duncan:
Efficient Aortic Valve Multilabel Segmentation Using a Spatial Transformer Network. ISBI 2020: 1738-1742 - [c158]Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Graph embedding using Infomax for ASD classification and brain functional difference detection. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131702 - [c157]Junlin Yang, Xiaoxiao Li, Daniel H. Pak, Nicha C. Dvornek, Julius Chapiro, Ming De Lin, James S. Duncan:
Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space. DART/DCL@MICCAI 2020: 52-61 - [c156]Chenyu You, Junlin Yang, Julius Chapiro, James S. Duncan:
Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-domain Liver Segmentation. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 155-163 - [c155]Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity. MLMI@MICCAI 2020: 363-372 - [c154]Kevinminh Ta, Shawn S. Ahn, John C. Stendahl, Albert J. Sinusas, James S. Duncan:
A Semi-supervised Joint Network for Simultaneous Left Ventricular Motion Tracking and Segmentation in 4D Echocardiography. MICCAI (6) 2020: 468-477 - [c153]Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. MICCAI (7) 2020: 625-635 - [c152]Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Yufeng Gu, Pamela Ventola, James S. Duncan:
Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty. MICCAI (1) 2020: 792-801 - [c151]Juntang Zhuang, Tommy Tang, Yifan Ding, Sekhar Tatikonda, Nicha C. Dvornek, Xenophon Papademetris, James S. Duncan:
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients. NeurIPS 2020 - [i21]Xiaoxiao Li, Yufeng Gu, Nicha C. Dvornek, Lawrence H. Staib, Pamela Ventola, James S. Duncan:
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results. CoRR abs/2001.05647 (2020) - [i20]Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Sekhar Tatikonda, Xenophon Papademetris, James S. Duncan:
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. CoRR abs/2006.02493 (2020) - [i19]Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. CoRR abs/2007.14589 (2020) - [i18]S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers:
A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises. CoRR abs/2008.09104 (2020) - [i17]Bo Zhou, S. Kevin Zhou, James S. Duncan, Chi Liu:
Limited View Tomographic Reconstruction Using a Deep Recurrent Framework with Residual Dense Spatial-Channel Attention Network and Sinogram Consistency. CoRR abs/2009.01782 (2020) - [i16]Chenyu You, Junlin Yang, Julius Chapiro, James S. Duncan:
Unsupervised Wasserstein Distance Guided Domain Adaptation for 3D Multi-Domain Liver Segmentation. CoRR abs/2009.02831 (2020) - [i15]Juntang Zhuang, Tommy Tang, Yifan Ding, Sekhar Tatikonda, Nicha C. Dvornek, Xenophon Papademetris, James S. Duncan:
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients. CoRR abs/2010.07468 (2020)
2010 – 2019
- 2019
- [j65]Nripesh Parajuli, Allen Lu, Kevinminh Ta, John C. Stendahl, Nabil Boutagy, Imran Alkhalil, Melissa Eberle, Geng-Shi Jeng, Maria Zontak, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Flow network tracking for spatiotemporal and periodic point matching: Applied to cardiac motion analysis. Medical Image Anal. 55: 116-135 (2019) - [c150]Junlin Yang, Nicha C. Dvornek, Fan Zhang, Juntang Zhuang, Julius Chapiro, Ming De Lin, James S. Duncan:
Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. ICCV Workshops 2019: 323-331 - [c149]Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan:
Decision explanation and feature importance for invertible networks. ICCV Workshops 2019: 4235-4239 - [c148]Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery. IPMI 2019: 718-730 - [c147]Juntang Zhuang, Nicha C. Dvornek, Qingyu Zhao, Xiaoxiao Li, Pamela Ventola, James S. Duncan:
Prediction of Treatment Outcome for Autism from Structure of the Brain Based On Sure Independence Screening. ISBI 2019: 404-408 - [c146]Clinton J. Wang, Charlie A. Hamm, Brian S. Letzen, James S. Duncan:
A probabilistic approach for interpretable deep learning in liver cancer diagnosis. Medical Imaging: Computer-Aided Diagnosis 2019: 109500U - [c145]Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, James S. Duncan:
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation. MICCAI (2) 2019: 255-263 - [c144]Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, James S. Duncan:
Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI. MLMI@MICCAI 2019: 382-390 - [c143]Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Graph Neural Network for Interpreting Task-fMRI Biomarkers. MICCAI (5) 2019: 485-493 - [c142]Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan:
Invertible Network for Classification and Biomarker Selection for ASD. MICCAI (3) 2019: 700-708 - [c141]Huzheng Yang, Xiaoxiao Li, Yifan Wu, Siyi Li, Su Lu, James S. Duncan, James C. Gee, Shi Gu:
Interpretable Multimodality Embedding of Cerebral Cortex Using Attention Graph Network for Identifying Bipolar Disorder. MICCAI (3) 2019: 799-807 - [i14]Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Graph Neural Network for Interpreting Task-fMRI Biomarkers. CoRR abs/1907.01661 (2019) - [i13]Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan:
Invertible Network for Classification and Biomarker Selection for ASD. CoRR abs/1907.09729 (2019) - [i12]Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, James S. Duncan:
Unsupervised Domain Adaptation via Disentangled Representations: Application to Cross-Modality Liver Segmentation. CoRR abs/1907.13590 (2019) - [i11]Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Graph Embedding Using Infomax for ASD Classification and Brain Functional Difference Detection. CoRR abs/1908.04769 (2019) - [i10]Junlin Yang, Nicha C. Dvornek, Fan Zhang, Juntang Zhuang, Julius Chapiro, Ming De Lin, James S. Duncan:
Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. CoRR abs/1908.10489 (2019) - [i9]Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan:
Decision Explanation and Feature Importance for Invertible Networks. CoRR abs/1910.00406 (2019) - [i8]Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, James S. Duncan:
Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI. CoRR abs/1910.06950 (2019) - [i7]Junlin Yang, Nicha C. Dvornek, Fan Zhang, Julius Chapiro, Ming De Lin, Aaron Abajian, James S. Duncan:
Hepatocellular Carcinoma Intra-arterial Treatment Response Prediction for Improved Therapeutic Decision-Making. CoRR abs/1912.00411 (2019) - 2018
- [j64]Geng-Shi Jeng, Maria Zontak, Nripesh Parajuli, Allen Lu, Kevinminh Ta, Albert J. Sinusas, James S. Duncan, Matthew O'Donnell:
Efficient Two-Pass 3-D Speckle Tracking for Ultrasound Imaging. IEEE Access 6: 17415-17428 (2018) - [c140]Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Daniel Y.-J. Yang, Pamela Ventola, James S. Duncan:
Prediction of Pivotal response treatment outcome with task fMRI using random forest and variable selection. ISBI 2018: 97-100 - [c139]Nicha C. Dvornek, Pamela Ventola, James S. Duncan:
Combining phenotypic and resting-state fMRI data for autism classification with recurrent neural networks. ISBI 2018: 725-728 - [c138]Xiaoxiao Li, Nicha C. Dvornek, Xenophon Papademetris, Juntang Zhuang, Lawrence H. Staib, Pamela Ventola, James S. Duncan:
2-Channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning. ISBI 2018: 1252-1255 - [c137]Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan:
Prediction of Severity and Treatment Outcome for ASD from fMRI. PRIME@MICCAI 2018: 9-17 - [c136]Fan Zhang, Junlin Yang, Nariman Nezami, Fabian Laage-gaupp, Julius Chapiro, Ming De Lin, James S. Duncan:
Liver Tissue Classification Using an Auto-context-based Deep Neural Network with a Multi-phase Training Framework. Patch-MI@MICCAI 2018: 59-66 - [c135]Omar Sultan Al-Kadi, Allen Lu, Albert J. Sinusas, James S. Duncan:
Stochastic Model-Based Left Ventricle Segmentation in 3D Echocardiography Using Fractional Brownian Motion. STACOM@MICCAI 2018: 77-84 - [c134]Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI. MICCAI (3) 2018: 206-214 - [c133]Nicha C. Dvornek, Daniel Y.-J. Yang, Pamela Ventola, James S. Duncan:
Learning Generalizable Recurrent Neural Networks from Small Task-fMRI Datasets. MICCAI (3) 2018: 329-337 - [i6]Nicha C. Dvornek, Daniel Y.-J. Yang, Archana Venkataraman, Pamela Ventola, Lawrence H. Staib, Kevin A. Pelphrey, James S. Duncan:
Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging. CoRR abs/1805.09799 (2018) - [i5]Nripesh Parajuli, Allen Lu, Kevinminh Ta, John C. Stendahl, Nabil Boutagy, Imran Alkhalil, Melissa Eberle, Geng-Shi Jeng, Maria Zontak, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Flow Network Tracking for Spatiotemporal and Periodic Point Matching: Applied to Cardiac Motion Analysis. CoRR abs/1807.02951 (2018) - [i4]Allen Lu, Nripesh Parajuli, Maria Zontak, John C. Stendahl, Kevinminh Ta, Zhao Liu, Nabil Boutagy, Geng-Shi Jeng, Imran Alkhalil, Lawrence H. Staib, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Learning-based Regularization for Cardiac Strain Analysis with Ability for Domain Adaptation. CoRR abs/1807.04807 (2018) - [i3]Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI. CoRR abs/1808.08296 (2018) - [i2]Xiaoxiao Li, Vivek Singh, Yifan Wu, Klaus J. Kirchberg, James S. Duncan, Ankur Kapoor:
Repetitive Motion Estimation Network: Recover cardiac and respiratory signal from thoracic imaging. CoRR abs/1811.03343 (2018) - [i1]Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery. CoRR abs/1812.06181 (2018) - 2017
- [j63]Fan Zhang, Jingjing Kanik, Tommaso Mansi, Ingmar Voigt, Puneet Sharma, Razvan Ioan Ionasec, Lakshman Subrahmanyan, Ben A. Lin, Lissa Sugeng, David D. Yuh, Dorin Comaniciu, James S. Duncan:
Towards patient-specific modeling of mitral valve repair: 3D transesophageal echocardiography-derived parameter estimation. Medical Image Anal. 35: 599-609 (2017) - [c132]John Treilhard, Susanne Smolka, Lawrence H. Staib, Julius Chapiro, Ming De Lin, Georgy Shakirin, James S. Duncan:
Liver Tissue Classification in Patients with Hepatocellular Carcinoma by Fusing Structured and Rotationally Invariant Context Representation. MICCAI (3) 2017: 81-88 - [c131]Nripesh Parajuli, Allen Lu, John C. Stendahl, Maria Zontak, Nabil Boutagy, Imran Alkhalil, Melissa Eberle, Ben A. Lin, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Flow Network Based Cardiac Motion Tracking Leveraging Learned Feature Matching. MICCAI (2) 2017: 279-286 - [c130]Allen Lu, Maria Zontak, Nripesh Parajuli, John C. Stendahl, Nabil Boutagy, Melissa Eberle, Imran Alkhalil, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Learning-Based Spatiotemporal Regularization and Integration of Tracking Methods for Regional 4D Cardiac Deformation Analysis. MICCAI (2) 2017: 323-331 - [c129]Nicha C. Dvornek, Pamela Ventola, Kevin A. Pelphrey, James S. Duncan:
Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks. MLMI@MICCAI 2017: 362-370 - 2016
- [j62]Archana Venkataraman, Daniel Y.-J. Yang, Kevin A. Pelphrey, James S. Duncan:
Bayesian Community Detection in the Space of Group-Level Functional Differences. IEEE Trans. Medical Imaging 35(8): 1866-1882 (2016) - [c128]Henry R. Ehrenberg, Daniel Cornfeld, Cayce B. Nawaf, Preston C. Sprenkle, James S. Duncan:
Decision forests for learning prostate cancer probability maps from multiparametric MRI. Medical Imaging: Computer-Aided Diagnosis 2016: 97851J - [c127]Nripesh Parajuli, Allen Lu, John C. Stendahl, Maria Zontak, Nabil Boutagy, Melissa Eberle, Imran Alkhalil, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Integrated Dynamic Shape Tracking and RF Speckle Tracking for Cardiac Motion Analysis. MICCAI (1) 2016: 431-438 - [c126]Liang Liang, Caitlin Martin, Qian Wang, Wei Sun, James S. Duncan:
Estimation of aortic valve leaflets from 3D CT images using local shape dictionaries and linear coding. Medical Imaging: Image Processing 2016: 978432 - 2015
- [j61]Xiaojie Huang, Donald P. Dione, Colin B. Compas, Xenophon Papademetris, Ben A. Lin, Alda Bregasi, Albert J. Sinusas, Lawrence H. Staib, James S. Duncan:
Corrigendum to "Contour tracking in echocardiographic sequences via sparse representation and dictionary learning" [Med. Image Anal.18(2) (2014) 253-271]. Medical Image Anal. 22(1): 21 (2015) - [j60]Colin B. Compas, Emily Y. Wong, Xiaojie Huang, Smita Sampath, Ben A. Lin, Prasanta Pal, Xenophon Papademetris, Karl Thiele, Donald P. Dione, Mitchel Stacy, Lawrence H. Staib, Albert J. Sinusas, Matthew O'Donnell, James S. Duncan:
Correction to "Radial Basis Functions for Combining Shape and Speckle Tracking in 4D Echocardiography". IEEE Trans. Medical Imaging 34(2): 690 (2015) - [c125]Nripesh Parajuli, Colin B. Compas, Ben A. Lin, Smita Sampath, Matthew O'Donnell, Albert J. Sinusas, James S. Duncan:
Sparsity and Biomechanics Inspired Integration of Shape and Speckle Tracking for Cardiac Deformation Analysis. FIMH 2015: 57-64 - [c124]Nripesh Parajuli, Allen Lu, James S. Duncan:
Left Ventricle Classification Using Active Shape Model and Support Vector Machine. STACOM@MICCAI 2015: 154-161 - 2014
- [j59]Xiaojie Huang, Donald P. Dione, Colin B. Compas, Xenophon Papademetris, Ben A. Lin, Alda Bregasi, Albert J. Sinusas, Lawrence H. Staib, James S. Duncan:
Contour tracking in echocardiographic sequences via sparse representation and dictionary learning. Medical Image Anal. 18(2): 253-271 (2014) - [j58]Liang Liang, Hongying Shen, Pietro De Camilli, James S. Duncan:
A Novel Multiple Hypothesis Based Particle Tracking Method for Clathrin Mediated Endocytosis Analysis Using Fluorescence Microscopy. IEEE Trans. Image Process. 23(4): 1844-1857 (2014) - [j57]Colin B. Compas, Emily Y. Wong, Xiaojie Huang, Smita Sampath, Ben A. Lin, Prasanta Pal, Xenophon Papademetris, Karl Thiele, Donald P. Dione, Mitchel Stacy, Lawrence H. Staib, Albert J. Sinusas, Matthew O'Donnell, James S. Duncan:
Radial Basis Functions for Combining Shape and Speckle Tracking in 4D Echocardiography. IEEE Trans. Medical Imaging 33(6): 1275-1289 (2014) - 2013
- [c123]Xiaowei Zhou, Xiaojie Huang, James S. Duncan, Weichuan Yu:
Active Contours with Group Similarity. CVPR 2013: 2969-2976 - [c122]Liang Liang, Hongying Shen, Panteleimon Rompolas, Valentina Greco, Pietro De Camilli, James S. Duncan:
A Multiple Hypothesis Based Method for Particle Tracking and Its Extension for Cell Segmentation. IPMI 2013: 98-109 - [c121]Jingjing Kanik, Tommaso Mansi, Ingmar Voigt, Puneet Sharma, Razvan Ioan Ionasec, Dorin Comaniciu, James S. Duncan:
Estimation of patient-specific material properties of the mitral valve using 4D Transesophageal Echocardiography. ISBI 2013: 1178-1181 - [c120]Xiaojie Huang, Donald P. Dione, Ben A. Lin, Alda Bregasi, Albert J. Sinusas, James S. Duncan:
Segmentation of 4D Echocardiography Using Stochastic Online Dictionary Learning. MICCAI (3) 2013: 57-65 - [c119]