Juntang Zhuang

43 papers A* 5Journal 21Unranked 17

Year	Rank	Type	Title / Venue / Authors
2022	—	`conf`	Learning Correspondences of Cardiac Motion from Images Using Biomechanics-Informed Modeling. STACOM@MICCAI Xiaoran Zhang, Chenyu You, Shawn S. Ahn, Juntang Zhuang, Lawrence H. Staib, James S. Duncan
2022	J	`jnl`	Learning correspondences of cardiac motion from images using biomechanics-informed modeling. CoRR Xiaoran Zhang, Chenyu You, Shawn S. Ahn, Juntang Zhuang, Lawrence H. Staib, James S. Duncan
2022	A*	`conf`	Surrogate Gap Minimization Improves Sharpness-Aware Training. ICLR Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu
2022	J	`jnl`	Surrogate Gap Minimization Improves Sharpness-Aware Training. CoRR Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu
2021	J	`jnl`	BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis. Medical Image Anal. Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Siyuan Gao, Juntang Zhuang, Dustin Scheinost, Lawrence H. Staib, Pamela Ventola, James S. Duncan
2021	J	`jnl`	Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity. CoRR Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, Pamela Ventola, James S. Duncan
2021	A*	`conf`	MALI: A memory efficient and reverse accurate integrator for Neural ODEs. ICLR Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan
2021	J	`jnl`	MALI: A memory efficient and reverse accurate integrator for Neural ODEs. CoRR Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan
2021	A*	`conf`	Momentum Centering and Asynchronous Update for Adaptive Gradient Methods. NeurIPS Juntang Zhuang, Yifan Ding, Tommy Tang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan
2021	J	`jnl`	Momentum Centering and Asynchronous Update for Adaptive Gradient Methods. CoRR Juntang Zhuang, Yifan Ding, Tommy Tang, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan
2021	—	`conf`	Multiple-Shooting Adjoint Method for Whole-Brain Dynamic Causal Modeling. IPMI Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, Xenophon Papademetris, Pamela Ventola, James S. Duncan
2021	J	`jnl`	Multiple-shooting adjoint method for whole-brain dynamic causal modeling. CoRR Juntang Zhuang, Nicha C. Dvornek, Sekhar Tatikonda, Xenophon Papademetris, Pamela Ventola, James S. Duncan
2021	J	`jnl`	Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge. Medical Image Anal. 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
2020	J	`jnl`	2018 Robotic Scene Segmentation Challenge. CoRR 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
2020	A*	`conf`	AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients. NeurIPS Juntang Zhuang, Tommy Tang, Yifan Ding, Sekhar Tatikonda, Nicha C. Dvornek, Xenophon Papademetris, James S. Duncan
2020	J	`jnl`	AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients. CoRR Juntang Zhuang, Tommy Tang, Yifan Ding, Sekhar Tatikonda, Nicha C. Dvornek, Xenophon Papademetris, James S. Duncan
2020	A*	`conf`	Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. ICML Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Sekhar Tatikonda, Xenophon Papademetris, James S. Duncan
2020	J	`jnl`	Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. CoRR Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Sekhar Tatikonda, Xenophon Papademetris, James S. Duncan
2020	—	`conf`	Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity. MLMI@MICCAI Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, Pamela Ventola, James S. Duncan
2020	—	`conf`	Graph embedding using Infomax for ASD classification and brain functional difference detection. Biomedical Applications in Molecular, Structural, and Functional Imaging Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan
2020	J	`jnl`	Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge. CoRR 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
2020	—	`conf`	Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. MICCAI (7) Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan
2020	J	`jnl`	Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. CoRR Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Muhan Zhang, Juntang Zhuang, Pamela Ventola, James S. Duncan
2019	J	`jnl`	Decision Explanation and Feature Importance for Invertible Networks. CoRR Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan
2019	—	`conf`	Decision explanation and feature importance for invertible networks. ICCV Workshops Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan
2019	—	`conf`	Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. ICCV Workshops Junlin Yang, Nicha C. Dvornek, Fan Zhang, Juntang Zhuang, Julius Chapiro, Ming De Lin, James S. Duncan
2019	J	`jnl`	Domain-Agnostic Learning with Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. CoRR Junlin Yang, Nicha C. Dvornek, Fan Zhang, Juntang Zhuang, Julius Chapiro, Ming De Lin, James S. Duncan
2019	—	`conf`	Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery. IPMI Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan
2019	J	`jnl`	Graph Embedding Using Infomax for ASD Classification and Brain Functional Difference Detection. CoRR Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan
2019	—	`conf`	Graph Neural Network for Interpreting Task-fMRI Biomarkers. MICCAI (5) Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan
2019	J	`jnl`	Graph Neural Network for Interpreting Task-fMRI Biomarkers. CoRR Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan
2019	—	`conf`	Invertible Network for Classification and Biomarker Selection for ASD. MICCAI (3) Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan
2019	J	`jnl`	Invertible Network for Classification and Biomarker Selection for ASD. CoRR Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan
2019	—	`conf`	Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI. MLMI@MICCAI Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, James S. Duncan
2019	J	`jnl`	Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI. CoRR Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, James S. Duncan
2019	—	`conf`	Prediction of Treatment Outcome for Autism from Structure of the Brain Based On Sure Independence Screening. ISBI Juntang Zhuang, Nicha C. Dvornek, Qingyu Zhao, Xiaoxiao Li, Pamela Ventola, James S. Duncan
2019	—	`conf`	ShelfNet for Fast Semantic Segmentation. ICCV Workshops Juntang Zhuang, Junlin Yang, Lin Gu, Nicha C. Dvornek
2018	—	`conf`	2-Channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning. ISBI Xiaoxiao Li, Nicha C. Dvornek, Xenophon Papademetris, Juntang Zhuang, Lawrence H. Staib, Pamela Ventola, James S. Duncan
2018	—	`conf`	Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI. MICCAI (3) Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan
2018	J	`jnl`	Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI. CoRR Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan
2018	J	`jnl`	Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery. CoRR Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan
2018	—	`conf`	Prediction of Pivotal response treatment outcome with task fMRI using random forest and variable selection. ISBI Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Daniel Y.-J. Yang, Pamela Ventola, James S. Duncan
2018	—	`conf`	Prediction of Severity and Treatment Outcome for ASD from fMRI. PRIME@MICCAI Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan