Autonomously detecting interaction with an affective robot to explore connection to developmental ability. - Laura Boccanfuso; Elizabeth S. Kim; James C. Snider; Quan Wang 003; Carla A. Wall; Lauren DiNicola; Gabriella Greco; Frédérick Shic; Brian Scassellati; Lilli Flink; Sharlene Lansiquot; Katarzyna Chawarska; et al. (ACII, 2015)

Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks. - Nicha C. Dvornek; Pamela Ventola; Kevin A. Pelphrey; James S. Duncan (MLMI@MICCAI, 2017)

Combining phenotypic and resting-state fMRI data for autism classification with recurrent neural networks. - Nicha C. Dvornek; Pamela Ventola; James S. Duncan (ISBI, 2018)

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)

Learning Generalizable Recurrent Neural Networks from Small Task-fMRI Datasets. - Nicha C. Dvornek; Daniel Y.-J. Yang; Pamela Ventola; James S. Duncan (MICCAI (3), 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)

Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging. - Nicha C. Dvornek; Daniel Y.-J. Yang; Archana Venkataraman; Pamela Ventola; Lawrence H. Staib; Kevin A. Pelphrey; James S. Duncan (CoRR, 2018)

Improving social skills in children with ASD using a long-term, in-home social robot. - Laura Boccanfuso; Chien-Ming Huang 001; Marilena Mademtzi; Meiying Qin; Nicole Salomons; Pamela Ventola; Frederick Shic (Sci. Robotics, 2018)

A Facial Affect Analysis System for Autism Spectrum Disorder. - Beibin Li; Sachin Mehta; Deepali Aneja; Claire E. Foster; Pamela Ventola; Frederick Shic; Linda G. Shapiro (ICIP, 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)

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)

Sparsely Grouped Input Variables for Neural Networks. - Beibin Li; Nicholas Nuechterlein; Erin Barney; Caitlin Hudac; Pamela Ventola; Linda G. Shapiro; Frederick Shic (CoRR, 2019)

Selection of Eye-Tracking Stimuli for Prediction by Sparsely Grouped Input Variables for Neural Networks: towards Biomarker Refinement for Autism. - Beibin Li; Erin Barney; Caitlin Hudac; Nicholas Nuechterlein; Pamela Ventola; Linda G. Shapiro; Frederick Shic (ETRA, 2020)

Estimating Reproducible Functional Networks Associated with Task Dynamics Using Unsupervised LSTMS. - Nicha C. Dvornek; Pamela Ventola; James S. Duncan (ISBI, 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)

Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty. - Xiaoxiao Li; Yuan Zhou 004; Nicha C. Dvornek; Yufeng Gu; Pamela Ventola; James S. Duncan (MICCAI (1), 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)

Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results. - Xiaoxiao Li; Yufeng Gu; Nicha C. Dvornek; Lawrence H. Staib; Pamela Ventola; James S. Duncan (Medical Image Anal., 2020)

Learning Oculomotor Behaviors from Scanpath. - Beibin Li; Nicholas Nuechterlein; Erin Barney; Claire E. Foster; Minah Kim; Monique Mahony; Adham Atyabi; Li Feng; Quan Wang 003; Pamela Ventola; Linda G. Shapiro; Frederick Shic (ICMI, 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)

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)

Calibration Error Prediction: Ensuring High-Quality Mobile Eye-Tracking. - Beibin Li; James C. Snider; Quan Wang 003; Sachin Mehta; Claire E. Foster; Erin Barney; Linda G. Shapiro; Pamela Ventola; Frederick Shic (ETRA, 2022)

Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths. - Adham Atyabi; Frederick Shic; Jiajun Jiang; Claire E. Foster; Erin Barney; Minah Kim; Beibin Li; Pamela Ventola; Chung-Hao Chen (ACM Trans. Knowl. Discov. Data, 2023)

STNAGNN: Spatiotemporal Node Attention Graph Neural Network for Task-based fMRI Analysis. - Jiyao Wang; Nicha C. Dvornek; Peiyu Duan; Lawrence H. Staib; Pamela Ventola; James S. Duncan (CoRR, 2024)