Jeffrey Sawalha

发表

Examining the "Species" of Situated Cognition in Humans

Craig S. Chapman, Scott A. Stone, Jennifer K Bertrand, 2018 .

fMRI-Based Machine Learning Analysis of Neural Substrates of Pediatric Anxiety: Temporal Pole and Emotional Face-Responses.

R. Greiner, A. Greenshaw, Muhammad Yousefnezhad, 2020 .

Detecting Presence of PTSD Using Sentiment Analysis From Text Data

Matthew R. G. Brown, A. Greenshaw, Muhammad Yousefnezhad, 2022, Frontiers in Psychiatry.

Individualized identification of first-episode bipolar disorder using machine learning and cognitive tests.

Tao Li, A. Greenshaw, J. Sui, 2020, Journal of affective disorders.

Predicting pediatric anxiety from the temporal pole using neural responses to emotional faces

A. Greenshaw, Muhammad Yousefnezhad, Bo Cao, 2021, Scientific Reports.

Learning Language and Acoustic Models for Identifying Alzheimer’s Dementia From Speech

R. Greiner, S. Qi, Eleni Stroulia, 2021, Frontiers in Computer Science.

CACNB2 rs11013860 polymorphism correlates of prefrontal cortex thickness in bipolar patients with first-episode mania.

Tao Li, J. Soares, A. Greenshaw, 2020, Journal of affective disorders.

Virtual Reality–Based Treatment for Military Members and Veterans With Combat-Related Posttraumatic Stress Disorder: Protocol for a Multimodular Motion-Assisted Memory Desensitization and Reconsolidation Randomized Controlled Trial

A. Greenshaw, R. Jetly, E. Vermetten, 2020, JMIR research protocols.

Virtual Reality–Based Treatment for Military Members and Veterans With Combat-Related Posttraumatic Stress Disorder: Protocol for a Multimodular Motion-Assisted Memory Desensitization and Reconsolidation Randomized Controlled Trial (Preprint)

A. Greenshaw, R. Jetly, E. Vermetten, 2020 .

The contribution of nonrigid motion and shape information to object perception in pigeons and humans.

Alinda Friedman, Marcia L Spetch, Christopher R Madan, 2017, Journal of vision.

Differential power of placebo across major psychiatric disorders: a preliminary meta-analysis and machine learning study

A. Greenshaw, S. Dursun, I. Passos, 2021, Scientific Reports.

Deep Representational Similarity Learning for Analyzing Neural Signatures in Task-based fMRI Dataset

Muhammad Yousefnezhad, Daoqiang Zhang, Jeffrey Sawalha, 2020, Neuroinformatics.