ArticleComputational intelligence and neuroscience2021
Estimating Gender and Age from Brain Structural MRI of Children and Adolescents: A 3D Convolutional Neural Network Multitask Learning Model.
Article in Computational intelligence and neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- Brain age prediction in generalized anxiety disorder using a convolutional neural network.Translational psychiatry · 2026Article
- Sex differences in global metrics of brain size across the lifespan.Frontiers in neuroscience · 2026Article
- A stacked custom convolution neural network for voxel-based human brain morphometry classification.Scientific reports · 2025Article
- Predicting Brain Age and Gender from Brain Volume Data Using Variational Quantum Circuits.Brain sciences · 2024Article
- Diffusion deep learning for brain age prediction and longitudinal tracking in children through adulthood.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Generalizability of 3D CNN models for age estimation in diverse youth populations using structural MRI.Scientific reports · 2023Article
- Prediction of Chronological Age in Healthy Elderly Subjects with Machine Learning from MRI Brain Segmentation and Cortical Parcellation.Brain sciences · 2022Article
- Can Autism Be Diagnosed with Artificial Intelligence? A Narrative Review.Diagnostics (Basel, Switzerland) · 2021Review
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Authors and funding
4 authors.
Funding
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Abstract
Despite recent advances, assessing biological measurements for neuropsychiatric disorders is still a challenge, where confounding variables such as gender and age (as a proxy for neurodevelopment) play an important role. This study explores brain structural magnetic resonance imaging (sMRI) from two public data sets (ABIDE-II and ADHD-200) with healthy control (HC,
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Registered trials
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