Multimodal fusion of brain signals for robust prediction of psychosis transition
- 2024
- Schizophrenia
Eduardo Castro Witting
Pronouns
He/Him/His
Title
Research Scientist -- Machine Learning in Digital Health
Bio
Eduardo Castro is part of the Computational Psychiatry and Neuroimaging group in Digital Health. His research is focused on the application of machine learning techniques for health assessment, with particular emphasis on early detection and improved treatment of mental health conditions and neurological disorders. He received his PhD degree in Computer Engineering at the University of New Mexico in 2013.
Publications
Fusion of biomedical imaging studies for increased sample size and diversity: a case study of brain MRI
- Matias Aiskovich
- Eduardo Castro
- et al.
- 2024
- Frontiers in Radiology
Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ): Rationale and Study Design of the Largest Global Prospective Cohort Study of Clinical High Risk for Psychosis
- Cassandra M.J. Wannan
- Barnaby Nelson
- et al.
- 2024
- Schizophrenia Bulletin
Predictive Modeling of Huntington's Disease Unfolds Thalamic and Caudate Atrophy Dissociation
- 2022
- Movement Disorders
Resting-state connectivity stratifies premanifest Huntington’s disease by longitudinal cognitive decline rate
- 2020
- Scientific Reports
Baseline multimodal information predicts future motor impairment in premanifest Huntington's disease
- 2018
- NeuroImage: Clinical
Biclustered independent component analysis for complex biomarker and subtype identification from structural magnetic resonance images in schizophrenia
- Cota Navin Gupta
- Eduardo Castro
- et al.
- 2017
- Frontiers in Psychiatry
Computational psychiatry: Advancing predictive modeling of neurodegeneration with neuroimaging of Huntington's disease
- 2017
- IBM J. Res. Dev
Top collaborators
PP
Pablo Polosecki
Research - Neuroscience
JR
Jenna Reinen
Cognitive and Clinical Neuroscientist
AD
Amit Dhurandhar
Principal Research Staff Member