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ORCIDJames S. Duncan
James Duncan 0001 – Jim Duncan 0001
Person information
- affiliation: Yale University, New Haven, Connecticut, USA
Other persons with the same name
- James Duncan 0002
![[0000-0003-3297-681X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3297-681X")
— University of California, Berkeley, CA, USA
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2020 – today
- 2023
[j79]Shixing Cao, Nicholas Konz, James S. Duncan, Maciej A. Mazurowski:
Deep Learning for Breast MRI Style Transfer with Limited Training Data. J. Digit. Imaging 36(2): 666-678 (2023)- [j78]Shawn S. Ahn, Kevinminh Ta, Stephanie Thorn, John A. Onofrey, Inga H. Melvinsdottir, Supum Lee, Jonathan Langdon, Albert J. Sinusas, James S. Duncan:
Co-attention spatial transformer network for unsupervised motion tracking and cardiac strain analysis in 3D echocardiography. Medical Image Anal. 84: 102711 (2023) - [c182]Bo Zhou, Neel Dey, Jo Schlemper, Seyed Sadegh Mohseni Salehi, Chi Liu, James S. Duncan, Michal Sofka:
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction. WACV 2023: 4955-4964 - [i50]Shixing Cao, Nicholas Konz, James S. Duncan, Maciej A. Mazurowski:
Deep Learning for Breast MRI Style Transfer with Limited Training Data. CoRR abs/2301.02069 (2023) - [i49]Chenyu You, Weicheng Dai, Yifei Min, Fenglin Liu, Xiaoran Zhang, Chen Feng, David A. Clifton, S. Kevin Zhou, Lawrence Hamilton Staib, James S. Duncan:
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective. CoRR abs/2302.01735 (2023) - [i48]Bo Zhou, Yu-Jung Tsai, Jiazhen Zhang, Xueqi Guo, Huidong Xie, Xiongchao Chen, Tianshun Miao, Yihuan Lu, James S. Duncan, Chi Liu:
Fast-MC-PET: A Novel Deep Learning-aided Motion Correction and Reconstruction Framework for Accelerated PET. CoRR abs/2302.07135 (2023) - [i47]Bo Zhou, Jo Schlemper, Neel Dey, Seyed Sadegh Mohseni Salehi, Kevin N. Sheth, Chi Liu, James S. Duncan, Michal Sofka:
Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction. CoRR abs/2302.09244 (2023) - [i46]Bo Zhou, Yingda Xia, Jiawen Yao, Le Lu, Jingren Zhou, Chi Liu, James S. Duncan, Ling Zhang:
Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT. CoRR abs/2303.00942 (2023) - [i45]Bo Zhou, Huidong Xie, Qiong Liu, Xiongchao Chen, Xueqi Guo, Zhicheng Feng, S. Kevin Zhou, Biao Li, Axel Rominger, Kuangyu Shi, James S. Duncan, Chi Liu:
FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising. CoRR abs/2304.00570 (2023) - [i44]Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, Jasjeet S. Sekhon, James S. Duncan:
ACTION++: Improving Semi-supervised Medical Image Segmentation with Adaptive Anatomical Contrast. CoRR abs/2304.02689 (2023) - [i43]Chenyu You, Weicheng Dai, Yifei Min, Lawrence H. Staib, James S. Duncan:
Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts. CoRR abs/2304.03209 (2023) - [i42]Xiangyi Yan, Junayed Naushad, Chenyu You, Hao Tang, Shanlin Sun, Kun Han, Haoyu Ma, James Duncan, Xiaohui Xie:
Localized Region Contrast for Enhancing Self-Supervised Learning in Medical Image Segmentation. CoRR abs/2304.03406 (2023) - [i41]Kun Han, Yifeng Xiong, Chenyu You, Pooya Khosravi, Shanlin Sun, Xiangyi Yan, James Duncan, Xiaohui Xie:
MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask Generation. CoRR abs/2304.04106 (2023) - 2022
- [j77]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) - [j76]Bo Zhou, Jo Schlemper, Neel Dey, Seyed Sadegh Mohseni Salehi, Kevin N. Sheth, Chi Liu, James S. Duncan, Michal Sofka:
Dual-domain self-supervised learning for accelerated non-Cartesian MRI reconstruction. Medical Image Anal. 81: 102538 (2022) - [j75]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. IEEE Trans. Medical Imaging 41(9): 2228-2237 (2022) - [j74]Bo Zhou, Xiongchao Chen, Huidong Xie, S. Kevin Zhou, James S. Duncan, Chi Liu:
DuDoUFNet: Dual-Domain Under-to-Fully-Complete Progressive Restoration Network for Simultaneous Metal Artifact Reduction and Low-Dose CT Reconstruction. IEEE Trans. Medical Imaging 41(12): 3587-3599 (2022) - [c181]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. ICLR 2022 - [c180]Siyuan Dong, Gilbert Hangel, Eric Z. Chen, Shanhui Sun, Wolfgang Bogner, Georg Widhalm, Chenyu You, John A. Onofrey, Robin A. de Graaf, James S. Duncan:
Flow-Based Visual Quality Enhancer for Super-Resolution Magnetic Resonance Spectroscopic Imaging. DGM4MICCAI@MICCAI 2022: 3-13 - [c179]Chenyu You, Jinlin Xiang, Kun Su, Xiaoran Zhang, Siyuan Dong, John A. Onofrey, Lawrence H. Staib, James S. Duncan:
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation. DeCaF/FAIR@MICCAI 2022: 3-16 - [c178]Siyuan Dong, Gilbert Hangel, Wolfgang Bogner, Georg Widhalm, Karl Rössler, Siegfried Trattnig, Chenyu You, Robin A. de Graaf, John A. Onofrey, James S. Duncan:
Multi-scale Super-Resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness. MICCAI (6) 2022: 410-420 - [c177]Chenyu You, Ruihan Zhao, Lawrence H. Staib, James S. Duncan:
Momentum Contrastive Voxel-Wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation. MICCAI (4) 2022: 639-652 - [c176]Chenyu You, Ruihan Zhao, Fenglin Liu, Siyuan Dong, Sandeep Chinchali, Ufuk Topcu, Lawrence H. Staib, James S. Duncan:
Class-Aware Adversarial Transformers for Medical Image Segmentation. NeurIPS 2022 - [c175]Xiaoran Zhang, Chenyu You, Shawn S. Ahn, Juntang Zhuang, Lawrence H. Staib, James S. Duncan:
Learning Correspondences of Cardiac Motion from Images Using Biomechanics-Informed Modeling. STACOM@MICCAI 2022: 13-25 - [i40]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) - [i39]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) - [i38]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) - [i37]Chenyu You, Jinlin Xiang, Kun Su, Xiaoran Zhang, Siyuan Dong, John A. Onofrey, Lawrence H. Staib, James S. Duncan:
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation. CoRR abs/2206.01369 (2022) - [i36]Chenyu You, Weicheng Dai, Lawrence H. Staib, James S. Duncan:
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive Distillation. CoRR abs/2206.02307 (2022) - [i35]Siyuan Dong, Gilbert Hangel, Wolfgang Bogner, Georg Widhalm, Karl Rössler, Siegfried Trattnig, Chenyu You, Robin A. de Graaf, John A. Onofrey, James S. Duncan:
Multi-scale Super-resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness. CoRR abs/2206.08984 (2022) - [i34]Siyuan Dong, Gilbert Hangel, Eric Z. Chen, Shanhui Sun, Wolfgang Bogner, Georg Widhalm, Chenyu You, John A. Onofrey, Robin A. de Graaf, James S. Duncan:
Flow-based Visual Quality Enhancer for Super-resolution Magnetic Resonance Spectroscopic Imaging. CoRR abs/2207.10181 (2022) - [i33]Xiaoran Zhang, Chenyu You, Shawn S. Ahn, Juntang Zhuang, Lawrence H. Staib, James S. Duncan:
Learning correspondences of cardiac motion from images using biomechanics-informed modeling. CoRR abs/2209.00726 (2022) - [i32]Chenyu You, Weicheng Dai, Fenglin Liu, Haoran Su, Xiaoran Zhang, Lawrence H. Staib, James S. Duncan:
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels. CoRR abs/2209.13476 (2022) - 2021
- [j73]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) - [j72]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) - [j71]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) - [j70]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) - [j69]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) - [j68]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
- [j67]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) - [j66]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) - [j65]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
- [j64]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
- [j63]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]