Editorial: Advanced analytic techniques in developmental neuroscience

Editorial: Advanced analytic techniques in developmental neuroscience

Bibliographic Details
Main Authors:	Jacob Levman, Emi Takahashi
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-01-01
Series:	Frontiers in Neuroscience
Subjects:	analytics machine learning pathologies development neuroscience
Online Access:	https://www.frontiersin.org/articles/10.3389/fnins.2022.1070337/full

Similar Items

A morphological study of schizophrenia with magnetic resonance imaging, advanced analytics, and machine learning
by: Jacob Levman, et al.
Published: (2022-08-01)

Multivariate analyses applied to fetal, neonatal and pediatric MRI of neurodevelopmental disorders
by: Jacob Levman, et al.
Published: (2015-01-01)

A review of multivariate analyses applied to healthy neurodevelopment in fetal, neonatal and pediatric MRI
by: Jacob eLevman, et al.
Published: (2016-01-01)

Structural Magnetic Resonance Imaging Demonstrates Abnormal Regionally-Differential Cortical Thickness Variability in Autism: From Newborns to Adults
by: Jacob Levman, et al.
Published: (2019-03-01)

Morphological Abnormalities in Early-Onset Schizophrenia Revealed by Structural Magnetic Resonance Imaging
by: Jacob Levman, et al.
Published: (2023-02-01)

Baseline Structural Connectomics Data of Healthy Brain Development Assessed with Multi-Modal Magnetic Resonance Imaging
by: David Mattie, et al.
Published: (2024-01-01)

MRI Diffusion Connectomics-Based Characterization of Progression in Alzheimer’s Disease
by: David Mattie, et al.
Published: (2024-08-01)

Quantitative brain morphological analysis in CHARGE syndrome
by: Tadashi Shiohama, et al.
Published: (2019-01-01)

Longitudinal Disease Detection Rates for the Evaluation of Disease Detection Technologies with Application in High-Risk Breast Cancer Screening
by: Jacob Levman
Published: (2013-12-01)

Mitigating Bias Due to Race and Gender in Machine Learning Predictions of Traffic Stop Outcomes
by: Kevin Saville, et al.
Published: (2024-11-01)

Error Consistency for Machine Learning Evaluation and Validation with Application to Biomedical Diagnostics
by: Jacob Levman, et al.
Published: (2023-04-01)

Structural and Diffusion MRI Analyses With Histological Observations in Patients With Lissencephaly
by: Lana Vasung, et al.
Published: (2019-07-01)

Editorial: Novel applications of Bayesian and other models in translational neuroscience
by: Jacob Raber, et al.
Published: (2024-04-01)

Behavioral and Developmental Neuroscience
by: Caro, Kati, author 648228
Published: (2012)

Integration of structural MRI and epigenetic analyses hint at linked cellular defects of the subventricular zone and insular cortex in autism: Findings from a case study
by: Emi Takahashi, et al.
Published: (2023-02-01)

Editorial: Machine and deep-learning for computational neuroscience
by: Gaurav Dhiman, et al.
Published: (2023-07-01)

Editorial: Neuroscience and neurological machine learning for cognitive assessment: advancements, challenges, and future directions
by: Gautam Srivastava, et al.
Published: (2024-05-01)

Editorial: Advances in computer science and their impact on data acquisition and analysis in neuroscience
by: Peter Koulen, et al.
Published: (2025-01-01)

Editorial: Neuroscience, learning, and educational psychology
by: María Jesús Luque-Rojas, et al.
Published: (2022-07-01)

Structural Magnetic Resonance Imaging-Based Surface Morphometry Analysis of Pediatric Down Syndrome
by: Jacob Levman, et al.
Published: (2024-07-01)

Editorial: Advances and challenges to bridge computational intelligence and neuroscience for brain-computer interface
by: Avinash Kumar Singh, et al.
Published: (2024-08-01)

Developmental cognitive neuroscience /
by: Johnson, Mark H. (Mark Henry), 1960-
Published: (2005)

Structural magnetic resonance imaging demonstrates abnormal cortical thickness in Down syndrome: Newborns to young adults
by: Jacob Levman, et al.
Published: (2019-01-01)

New Techniques in Systems Neuroscience /
by: Douglass, Adam D.
Published: (2015)

Editorial: Enhanced learning and teaching via neuroscience
by: Lorna Uden, et al.
Published: (2023-10-01)

Neuroscience Data Formats, Models, Repositories and Analytics: A Review
by: Sze Wei Fong, et al.
Published: (2023-07-01)

Advancing translational research in neuroscience through multi-task learning
by: Han Cao, et al.
Published: (2022-11-01)

Editorial: Animal models for basic and applied research in neuroscience
by: Elsayed Metwally, et al.
Published: (2024-01-01)

Advances in the Use of Neuroscience Methods in Research on Learning and Instruction
by: Bert De Smedt
Published: (2014-12-01)

On the Application of Developmental Cognitive Neuroscience in Educational Environments
by: Gerry Leisman
Published: (2022-11-01)

Structural magnetic resonance imaging demonstrates volumetric brain abnormalities in down syndrome: Newborns to young adults
by: Bernadette McCann, et al.
Published: (2021-01-01)

Editorial. Educational neuroscience: An opened challenge
by: Chiara Fante, et al.
Published: (2023-02-01)

Neuroscience /
by: 272362 Weyhenmeyer, James A., et al.
Published: (2007)

Editorial: Reproducible analysis in neuroscience
by: Stavros I. Dimitriadis, et al.
Published: (2024-11-01)

A perspective on enhancing representative samples in developmental human neuroscience: Connecting science to society
by: Kayla H. Green, et al.
Published: (2022-09-01)

Advancing School Professionals’ Dyslexia Knowledge Through Neuroscience: Bridging the Science-Education Gap Through Developmental Psychology
by: Alida Anderson
Published: (2021-02-01)

Editorial: Current Advances in Affective Neuroscience
by: Benjamin Becker, et al.
Published: (2020-04-01)

Editorial: Emerging talents in human neuroscience: Cognitive neuroscience 2022
by: Sébastien Hélie
Published: (2023-03-01)

Editorial: Rising stars in visual neuroscience: 2022
by: Kimberly Meier, et al.
Published: (2024-05-01)

The brain on playdo: neuroscience in education
by: Kim Calder Stegemann
Published: (2024-04-01)