Aristeidis Sotiras

Assistant Professor

Washington University in St. Louis

United States

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Dr. Aristeidis Sotiras is an Assistant Professor at Washington University in Saint Louis, USA. His research focuses on the intersection of neuroimaging, mental health, and computational modeling, as evidenced by his recent articles on topics such as segmentation in medical imaging, predictors of psychopathology, and the influence of genomic loci on brain structure. He is particularly interested in developing data-driven methodologies to better understand neurodevelopmental and metabolic illnesses.

Articles (18)

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2026

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2025

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2022

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2021

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2021

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2020

Collaborators (12)

Tammie Benzinger

Professor

Washington University in St. Louis

UNITED STATES

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Hamed Akbari

Assisshtant Professor

Santa Clara University

UNITED STATES

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Sandra A. Brown

Distinguished Professor

University of California, San Diego

UNITED STATES

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Junhao WEN

Assistant Professor

University of Southern California

UNITED STATES

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Janine Bijsterbosch

University of Oxford

UNITED KINGDOM

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Lars T. Westlye

Associate professor

University of Oslo

NORWAY

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Peter Kochunov

UNITED STATES

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Brian Gordon

Assistant Professor

Washington University in Saint Louis School of Medicine

UNITED STATES

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Theodore Satterthwaite

Associate Professor

University of Pennsylvania

UNITED STATES

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Ganesh Chand

Assistant Professor

Washington University in St. Louis

UNITED STATES

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Delin Sun

Assistant Professor

Duke University

UNITED STATES

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Spyridon Bakas

Kingston University

UNITED KINGDOM

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Aristeidis Sotiras

Research Interests

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About

Articles (18)

QCResUNet: Joint subject-level and voxel-level segmentation quality prediction

DMC-Net: Lightweight Dynamic Multi-scale and Multi-resolution convolution network for pancreas segmentation in CT images

Mapping multimodal risk factors to mental health outcomes

SC-VAE: Sparse coding-based variational autoencoder with learned ISTA

Mapping the neurodevelopmental predictors of psychopathology

Evaluation of ComBat Harmonization for Reducing Across‐Tracer Differences in Regional Amyloid PET Analyses

Data‐driven decomposition and staging of flortaucipir uptake in Alzheimer's disease

Benchmarking the generalizability of brain age models: Challenges posed by scanner variance and prediction bias

Brain deficit patterns of metabolic illnesses overlap with those for major depressive disorder: A new metric of brain metabolic disease

A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility

MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network

Adolescent alcohol use is linked to disruptions in age-appropriate cortical thinning: an unsupervised machine learning approach

Genomic loci influence patterns of structural covariance in the human brain

The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics

Brain‐wide versus genome‐wide vulnerability biomarkers for severe mental illnesses

Neurocognitive and functional heterogeneity in depressed youth

MRI-based Identification and Classification of Major Intracranial Tumor Types by Using a 3D Convolutional Neural Network: A Retrospective Multi-institutional Analysis

Approaches to Defining Common and Dissociable Neurobiological Deficits Associated With Psychopathology in Youth

Collaborators (12)

Tammie Benzinger

Hamed Akbari

Sandra A. Brown

Junhao WEN

Janine Bijsterbosch

Lars T. Westlye

Peter Kochunov

Brian Gordon

Theodore Satterthwaite

Ganesh Chand

Delin Sun

Spyridon Bakas

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