2-Channel convolutional 3D deep neural network (2CC3D) for fMRI analysis: ASD classification and feature learning. - Xiaoxiao Li; Nicha C. Dvornek; Xenophon Papademetris; Juntang Zhuang; Lawrence H. Staib; Pamela Ventola; James S. Duncan (ISBI, 2018)

Prediction of Pivotal response treatment outcome with task fMRI using random forest and variable selection. - Juntang Zhuang; Nicha C. Dvornek; Xiaoxiao Li; Daniel Y.-J. Yang; Pamela Ventola; James S. Duncan (ISBI, 2018)

Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI. - Xiaoxiao Li; Nicha C. Dvornek; Juntang Zhuang; Pamela Ventola; James S. Duncan (MICCAI (3), 2018)

Prediction of Severity and Treatment Outcome for ASD from fMRI. - Juntang Zhuang; Nicha C. Dvornek; Xiaoxiao Li; Pamela Ventola; James S. Duncan (PRIME@MICCAI, 2018)

Domain-Agnostic Learning With Anatomy-Consistent Embedding for Cross-Modality Liver Segmentation. - Junlin Yang; Nicha C. Dvornek; Fan Zhang 009; Juntang Zhuang; Julius Chapiro; Ming De Lin; James S. Duncan (ICCV Workshops, 2019)

Decision explanation and feature importance for invertible networks. - Juntang Zhuang; Nicha C. Dvornek; Xiaoxiao Li; Junlin Yang; James S. Duncan (ICCV Workshops, 2019)

ShelfNet for Fast Semantic Segmentation. - Juntang Zhuang; Junlin Yang; Lin Gu 003; Nicha C. Dvornek (ICCV Workshops, 2019)

Efficient Interpretation of Deep Learning Models Using Graph Structure and Cooperative Game Theory: Application to ASD Biomarker Discovery. - Xiaoxiao Li; Nicha C. Dvornek; Yuan Zhou 004; Juntang Zhuang; Pamela Ventola; James S. Duncan (IPMI, 2019)

Prediction of Treatment Outcome for Autism from Structure of the Brain Based On Sure Independence Screening. - Juntang Zhuang; Nicha C. Dvornek; Qingyu Zhao; Xiaoxiao Li; Pamela Ventola; James S. Duncan (ISBI, 2019)

Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI. - Nicha C. Dvornek; Xiaoxiao Li; Juntang Zhuang; James S. Duncan (MLMI@MICCAI, 2019)

Graph Neural Network for Interpreting Task-fMRI Biomarkers. - Xiaoxiao Li; Nicha C. Dvornek; Yuan Zhou 004; Juntang Zhuang; Pamela Ventola; James S. Duncan (MICCAI (5), 2019)

Invertible Network for Classification and Biomarker Selection for ASD. - Juntang Zhuang; Nicha C. Dvornek; Xiaoxiao Li; Pamela Ventola; James S. Duncan (MICCAI (3), 2019)

Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. - Juntang Zhuang; Nicha C. Dvornek; Xiaoxiao Li; Sekhar Tatikonda; Xenophon Papademetris; James S. Duncan (ICML, 2020)

Graph embedding using Infomax for ASD classification and brain functional difference detection. - Xiaoxiao Li; Nicha C. Dvornek; Juntang Zhuang; Pamela Ventola; James S. Duncan (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity. - Nicha C. Dvornek; Xiaoxiao Li; Juntang Zhuang; Pamela Ventola; James S. Duncan (MLMI@MICCAI, 2020)

Pooling Regularized Graph Neural Network for fMRI Biomarker Analysis. - Xiaoxiao Li; Yuan Zhou 004; Nicha C. Dvornek; Muhan Zhang; Juntang Zhuang; Pamela Ventola; James S. Duncan (MICCAI (7), 2020)

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients. - Juntang Zhuang; Tommy Tang; Yifan Ding; Sekhar Tatikonda; Nicha C. Dvornek; Xenophon Papademetris; James S. Duncan (NeurIPS, 2020)

2018 Robotic Scene Segmentation Challenge. - 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; et al. (CoRR, 2020)

Neuropsychiatric Disease Classification Using Functional Connectomics - Results of the Connectomics in NeuroImaging Transfer Learning Challenge. - 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; et al. (CoRR, 2020)

MALI: A memory efficient and reverse accurate integrator for Neural ODEs. - Juntang Zhuang; Nicha C. Dvornek; Sekhar Tatikonda; James S. Duncan (ICLR, 2021)

Multiple-Shooting Adjoint Method for Whole-Brain Dynamic Causal Modeling. - Juntang Zhuang; Nicha C. Dvornek; Sekhar Tatikonda; Xenophon Papademetris; Pamela Ventola; James S. Duncan (IPMI, 2021)

Momentum Centering and Asynchronous Update for Adaptive Gradient Methods. - Juntang Zhuang; Yifan Ding; Tommy Tang; Nicha C. Dvornek; Sekhar Tatikonda; James S. Duncan (NeurIPS, 2021)

BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis. - Xiaoxiao Li; Yuan Zhou 004; Nicha C. Dvornek; Muhan Zhang; Siyuan Gao; Juntang Zhuang; Dustin Scheinost; Lawrence H. Staib; Pamela Ventola; James S. Duncan (Medical Image Anal., 2021)

Neuropsychiatric disease classification using functional connectomics - results of the connectomics in neuroimaging transfer learning challenge. - 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; et al. (Medical Image Anal., 2021)

Surrogate Gap Minimization Improves Sharpness-Aware Training. - Juntang Zhuang; Boqing Gong; Liangzhe Yuan; Yin Cui; Hartwig Adam; Nicha C. Dvornek; Sekhar Tatikonda; James S. Duncan; Ting Liu 005 (ICLR, 2022)

Learning Correspondences of Cardiac Motion from Images Using Biomechanics-Informed Modeling. - Xiaoran Zhang; Chenyu You; Shawn S. Ahn; Juntang Zhuang; Lawrence H. Staib; James S. Duncan (STACOM@MICCAI, 2022)