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ORCIDJuntang Zhuang
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2020 – today
- 2022
[c22]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- [c21]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 - [i19]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) - [i18]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) - 2021
- [j2]Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart H. Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jennings Zhang, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung:
Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge. Medical Image Anal. 70: 101972 (2021) - [j1]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) - [c20]Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan:
MALI: A memory efficient and reverse accurate integrator for Neural ODEs. ICLR 2021 - [c19]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 - [c18]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 - [i17]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) - [i16]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) - [i15]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) - [i14]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
- [c17]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 - [c16]Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan:
Graph embedding using Infomax for ASD classification and brain functional difference detection. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131702 - [c15]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 - [c14]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 - [c13]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 - [i13]Max Allan, Satoshi Kondo, Sebastian Bodenstedt, Stefan Leger, Rahim Kadkhodamohammadi, Imanol Luengo, Félix Fuentes-Hurtado, Evangello Flouty, Ahmed Kedir Mohammed, Marius Pedersen, Avinash Kori, Alex Varghese, Ganapathy Krishnamurthi, David Rauber, Robert Mendel, Christoph Palm, Sophia Bano, Guinther Saibro, Chi-Sheng Shih, Hsun-An Chiang, Juntang Zhuang, Junlin Yang, Vladimir Iglovikov, Anton Dobrenkii, Madhu Reddiboina, Anubhav Reddy, Xingtong Liu, Cong Gao, Mathias Unberath, Mahdi Azizian, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel:
2018 Robotic Scene Segmentation Challenge. CoRR abs/2001.11190 (2020) - [i12]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) - [i11]Markus D. Schirmer, Archana Venkataraman, Islem Rekik, Minjeong Kim, Stewart Mostofsky, Mary Beth Nebel, Keri Rosch, Karen Seymour, Deana Crocetti, Hassna Irzan, Michael Hütel, Sébastien Ourselin, Neil Marlow, Andrew Melbourne, Egor Levchenko, Shuo Zhou, Mwiza Kunda, Haiping Lu, Nicha C. Dvornek, Juntang Zhuang, Gideon Pinto, Sandip Samal, Jorge L. Bernal-Rusiel, Rudolph Pienaar, Ai Wern Chung:
Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge. CoRR abs/2006.03611 (2020) - [i10]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) - [i9]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
- [c12]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 - [c11]Juntang Zhuang, Junlin Yang, Lin Gu, Nicha C. Dvornek:
ShelfNet for Fast Semantic Segmentation. ICCV Workshops 2019: 847-856 - [c10]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 - [c9]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 - [c8]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 - [c7]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 - [c6]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 - [c5]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 - [i8]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) - [i7]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) - [i6]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) - [i5]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) - [i4]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) - [i3]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) - 2018
- [c4]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 - [c3]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 - [c2]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 - [c1]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 - [i2]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) - [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)
Coauthor Index
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