Multimodal fusion of brain signals for robust prediction of psychosis transition
- 2024
- Schizophrenia
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12 results for Pablo Polosecki
Resting-state connectivity stratifies premanifest Huntington’s disease by longitudinal cognitive decline rate
- 2020
- Scientific Reports
Learning stable and predictive network-based patterns of schizophrenia and its clinical symptoms
- Mina Gheiratmand
- Irina Rish
- et al.
- 2017
- npj Schizophrenia
Loss of nucleus accumbens low-frequency fluctuations is a signature of chronic pain
- Meena M. Makary
- Pablo Polosecki
- et al.
- 2020
- PNAS
Predicting conversion to psychosis in clinical high risk patients using resting-state functional MRI features
- Jolie McDonnell
- William Hord
- et al.
- 2019
- SPIE Medical Imaging 2019
Learning discriminative functional network features of schizophrenia
- Mina Gheiratmand
- Irina Rish
- et al.
- 2017
- SPIE Medical Imaging 2017
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
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
Predictive Modeling of Huntington's Disease Unfolds Thalamic and Caudate Atrophy Dissociation
- 2022
- Movement Disorders
Learning Brain Dynamics With Coupled Low-Dimensional Nonlinear Oscillators and Deep Recurrent Networks
- Germán Abrevaya
- Guillaume Dumas
- et al.
- 2021
- Neural Computation