Found: 8
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From 'loose fitting' to high-performance, uncertainty-aware brain-age modelling.
- Published in:
- 2021
- By:
- Publication type:
- Letter
A Systematic Evaluation of Machine Learning–Based Biomarkers for Major Depressive Disorder.
- Published in:
- JAMA Psychiatry, 2024, v. 81, n. 4, p. 386, doi. 10.1001/jamapsychiatry.2023.5083
- By:
- Publication type:
- Article
Quantifying Deviations of Brain Structure and Function in Major Depressive Disorder Across Neuroimaging Modalities.
- Published in:
- 2022
- By:
- Publication type:
- journal article
Editorial: Predicting Chronological Age From Structural Neuroimaging: The Predictive Analytics Competition 2019.
- Published in:
- 2021
- By:
- Publication type:
- Editorial
FreeSurfer‐based segmentation of hippocampal subfields: A review of methods and applications, with a novel quality control procedure for ENIGMA studies and other collaborative efforts.
- Published in:
- Human Brain Mapping, 2022, v. 43, n. 1, p. 207, doi. 10.1002/hbm.25326
- By:
- Publication type:
- Article
Evidence from comprehensive independent validation studies for smooth pursuit dysfunction as a sensorimotor biomarker for psychosis.
- Published in:
- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-64487-6
- By:
- Publication type:
- Article
PHOTONAI—A Python API for rapid machine learning model development.
- Published in:
- PLoS ONE, 2021, v. 16, n. 7, p. 1, doi. 10.1371/journal.pone.0254062
- By:
- Publication type:
- Article
Predicting intelligence from brain gray matter volume.
- Published in:
- Brain Structure & Function, 2020, v. 225, n. 7, p. 2111, doi. 10.1007/s00429-020-02113-7
- By:
- Publication type:
- Article