Pamela Ventola

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 40

Top Topics

Input Variables

Top Venues

Publications

Jiyao Wang, Nicha C. Dvornek, Peiyu Duan, Lawrence H. Staib, Pamela Ventola, James S. Duncan
STNAGNN: Spatiotemporal Node Attention Graph Neural Network for Task-based fMRI Analysis. CoRR (2024)
Adham Atyabi, Frederick Shic, Jiajun Jiang, Claire E. Foster, Erin Barney, Minah Kim, Beibin Li, Pamela Ventola, Chung-Hao Chen
Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths. ACM Trans. Knowl. Discov. Data 17 (2) (2023)
Beibin Li, James C. Snider, Quan Wang, Sachin Mehta, Claire E. Foster, Erin Barney, Linda G. Shapiro, Pamela Ventola, Frederick Shic
Calibration Error Prediction: Ensuring High-Quality Mobile Eye-Tracking. ETRA (2022)
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 (2021)
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)
Nicha C. Dvornek, Pamela Ventola, James S. Duncan
Estimating Reproducible Functional Networks Associated with Task Dynamics using Unsupervised LSTMs. CoRR (2021)
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 (2021)
Beibin Li, Nicholas Nuechterlein, Erin Barney, Claire E. Foster, Minah Kim, Monique Mahony, Adham Atyabi, Li Feng, Quan Wang, Pamela Ventola, Linda G. Shapiro, Frederick Shic
Learning Oculomotor Behaviors from Scanpath. ICMI (2021)
Beibin Li, Nicholas Nuechterlein, Erin Barney, Claire E. Foster, Minah Kim, Monique Mahony, Adham Atyabi, Li Feng, Quan Wang, Pamela Ventola, Linda G. Shapiro, Frederick Shic
Learning Oculomotor Behaviors from Scanpath. CoRR (2021)
Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, Pamela Ventola, James S. Duncan
Demographic-Guided Attention in Recurrent Neural Networks for Modeling Neuropathophysiological Heterogeneity. CoRR (2021)
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)
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)
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)
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 (2020)
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 (2020)
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 (2020)
Nicha C. Dvornek, Pamela Ventola, James S. Duncan
Estimating Reproducible Functional Networks Associated with Task Dynamics Using Unsupervised LSTMS. ISBI (2020)
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)
Beibin Li, Erin Barney, Caitlin Hudac, Nicholas Nuechterlein, Pamela Ventola, Linda G. Shapiro, Frederick Shic
Selection of Eye-Tracking Stimuli for Prediction by Sparsely Grouped Input Variables for Neural Networks: towards Biomarker Refinement for Autism. ETRA (2020)
Beibin Li, Sachin Mehta, Deepali Aneja, Claire E. Foster, Pamela Ventola, Frederick Shic, Linda G. Shapiro
A Facial Affect Analysis System for Autism Spectrum Disorder. ICIP (2019)
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)
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 (2019)
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan
Invertible Network for Classification and Biomarker Selection for ASD. CoRR (2019)
Beibin Li, Nicholas Nuechterlein, Erin Barney, Caitlin Hudac, Pamela Ventola, Linda G. Shapiro, Frederick Shic
Sparsely Grouped Input Variables for Neural Networks. CoRR (2019)
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)
Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Pamela Ventola, James S. Duncan
Invertible Network for Classification and Biomarker Selection for ASD. MICCAI (3) (2019)
Xiaoxiao Li, Nicha C. Dvornek, Yuan Zhou, Juntang Zhuang, Pamela Ventola, James S. Duncan
Graph Neural Network for Interpreting Task-fMRI Biomarkers. CoRR (2019)
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)
Beibin Li, Sachin Mehta, Deepali Aneja, Claire E. Foster, Pamela Ventola, Frederick Shic, Linda G. Shapiro
A Facial Affect Analysis System for Autism Spectrum Disorder. CoRR (2019)
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)
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 (2018)
Laura Boccanfuso, Chien-Ming Huang, Marilena Mademtzi, Meiying Qin, Nicole Salomons, Pamela Ventola, Frederick Shic
Improving social skills in children with ASD using a long-term, in-home social robot. Sci. Robotics 3 (21) (2018)
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)
Nicha C. Dvornek, Pamela Ventola, James S. Duncan
Combining phenotypic and resting-state fMRI data for autism classification with recurrent neural networks. ISBI (2018)
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)
Nicha C. Dvornek, Daniel Y.-J. Yang, Archana Venkataraman, Pamela Ventola, Lawrence H. Staib, Kevin A. Pelphrey, James S. Duncan
Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging. CoRR (2018)
Nicha C. Dvornek, Daniel Y.-J. Yang, Pamela Ventola, James S. Duncan
Learning Generalizable Recurrent Neural Networks from Small Task-fMRI Datasets. MICCAI (3) (2018)
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)
Xiaoxiao Li, Nicha C. Dvornek, Juntang Zhuang, Pamela Ventola, James S. Duncan
Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI. CoRR (2018)
Nicha C. Dvornek, Pamela Ventola, Kevin A. Pelphrey, James S. Duncan
Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks. MLMI@MICCAI (2017)
Laura Boccanfuso, Elizabeth S. Kim, James C. Snider, Quan Wang, Carla A. Wall, Lauren DiNicola, Gabriella Greco, Frédérick Shic, Brian Scassellati, Lilli Flink, Sharlene Lansiquot, Katarzyna Chawarska, Pamela Ventola
Autonomously detecting interaction with an affective robot to explore connection to developmental ability. ACII (2015)