Pamela Ventola

41 papers B 5Journal 19Unranked 17
YearRankTypeTitle / Venue / Authors
2024 J jnl
STNAGNN: Spatiotemporal Node Attention Graph Neural Network for Task-based fMRI Analysis.
CoRR
Jiyao Wang, Nicha C. Dvornek, Peiyu Duan, Lawrence H. Staib, Pamela Ventola, James S. Duncan
2023 J jnl
Stratification of Children with Autism Spectrum Disorder Through Fusion of Temporal Information in Eye-gaze Scan-Paths.
ACM Trans. Knowl. Discov. Data
Adham Atyabi, Frederick Shic, Jiajun Jiang, Claire E. Foster, Erin Barney, Minah Kim, Beibin Li, Pamela Ventola, Chung-Hao Chen
2022 B conf
Calibration Error Prediction: Ensuring High-Quality Mobile Eye-Tracking.
ETRA
Beibin Li, James C. Snider, Quan Wang, Sachin Mehta, Claire E. Foster, Erin Barney, Linda G. Shapiro, Pamela Ventola, Frederick Shic
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 J jnl
Estimating Reproducible Functional Networks Associated with Task Dynamics using Unsupervised LSTMs.
CoRR
Nicha C. Dvornek, Pamela Ventola, James S. Duncan
2021 B conf
Learning Oculomotor Behaviors from Scanpath.
ICMI
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
2021 J jnl
Learning Oculomotor Behaviors from Scanpath.
CoRR
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
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
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
Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty.
MICCAI (1)
Xiaoxiao Li, Yuan Zhou, Nicha C. Dvornek, Yufeng Gu, Pamela Ventola, James S. Duncan
2020 — conf
Estimating Reproducible Functional Networks Associated with Task Dynamics Using Unsupervised LSTMS.
ISBI
Nicha C. Dvornek, 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
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results.
CoRR
Xiaoxiao Li, Yufeng Gu, Nicha C. Dvornek, Lawrence H. Staib, Pamela Ventola, James S. Duncan
2020 J jnl
Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results.
Medical Image Anal.
Xiaoxiao Li, Yufeng Gu, Nicha C. Dvornek, Lawrence H. Staib, Pamela Ventola, James S. Duncan
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
2020 B conf
Selection of Eye-Tracking Stimuli for Prediction by Sparsely Grouped Input Variables for Neural Networks: towards Biomarker Refinement for Autism.
ETRA
Beibin Li, Erin Barney, Caitlin Hudac, Nicholas Nuechterlein, Pamela Ventola, Linda G. Shapiro, Frederick Shic
2019 B conf
A Facial Affect Analysis System for Autism Spectrum Disorder.
ICIP
Beibin Li, Sachin Mehta, Deepali Aneja, Claire E. Foster, Pamela Ventola, Frederick Shic, Linda G. Shapiro
2019 J jnl
A Facial Affect Analysis System for Autism Spectrum Disorder.
CoRR
Beibin Li, Sachin Mehta, Deepali Aneja, Claire E. Foster, Pamela Ventola, Frederick Shic, Linda G. Shapiro
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
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 J jnl
Sparsely Grouped Input Variables for Neural Networks.
CoRR
Beibin Li, Nicholas Nuechterlein, Erin Barney, Caitlin Hudac, Pamela Ventola, Linda G. Shapiro, Frederick Shic
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 — conf
Combining phenotypic and resting-state fMRI data for autism classification with recurrent neural networks.
ISBI
Nicha C. Dvornek, 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 J jnl
Improving social skills in children with ASD using a long-term, in-home social robot.
Sci. Robotics
Laura Boccanfuso, Chien-Ming Huang, Marilena Mademtzi, Meiying Qin, Nicole Salomons, Pamela Ventola, Frederick Shic
2018 — conf
Learning Generalizable Recurrent Neural Networks from Small Task-fMRI Datasets.
MICCAI (3)
Nicha C. Dvornek, Daniel Y.-J. Yang, Pamela Ventola, James S. Duncan
2018 J jnl
Prediction of Autism Treatment Response from Baseline fMRI using Random Forests and Tree Bagging.
CoRR
Nicha C. Dvornek, Daniel Y.-J. Yang, Archana Venkataraman, Pamela Ventola, Lawrence H. Staib, Kevin A. Pelphrey, 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
2017 — conf
Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks.
MLMI@MICCAI
Nicha C. Dvornek, Pamela Ventola, Kevin A. Pelphrey, James S. Duncan
2015 B conf
Autonomously detecting interaction with an affective robot to explore connection to developmental ability.
ACII
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