Sophia I. Thomopoulos
Orcid: 0000-0002-0046-4070
According to our database1,
Sophia I. Thomopoulos
authored at least 29 papers
between 2017 and 2024.
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Bibliography
2024
Synthesizing Study-Specific Controls Using Generative Models on Open Access Datasets for Harmonized Multi-Study Analyses.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium.
NeuroImage, December, 2023
DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features.
CoRR, 2023
Video and Synthetic MRI Pre-training of 3D Vision Architectures for Neuroimage Analysis.
CoRR, 2023
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023
Unsupervised harmonization of brain MRI using 3D CycleGANs and its effect on brain age prediction.
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023
Predicting Decline in Clinical Assessments of Alzheimer's Disease With Machine Learning and 3D Brain MRI.
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023
Along-Tract Parameterization of White Matter Microstructure using Medial Tractography Analysis (MeTA).
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023
Medial Tractography Analysis (MeTA) for White Matter Population Analyses Across Datasets.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023
Normative Aging for an Individual's Full Brain MRI Using Style GANs to Detect Localized Neurodegeneration.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
BundleCleaner: Unsupervised Denoising and Subsampling of Diffusion MRI-Derived Tractography Data.
Proceedings of the Computational Diffusion MRI - 14th International Workshop, 2023
Predictive Modeling Of Alzheimer's Disease Prognosis Using Anatomical & Diffusion MRI.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
A Comprehensive Corpus Callosum Segmentation Tool for Detecting Callosal Abnormalities and Genetic Associations from Multi Contrast MRIs.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Variational Autoencoders for Generating Synthetic Tractography-Based Bundle Templates in a Low-Data Setting.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Efficiently Training Vision Transformers on Structural MRI Scans for Alzheimer's Disease Detection.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
The Influence of Brain MRI Defacing Algorithms on Brain-Age Predictions via 3D Convolutional Neural Networks.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
ENIGMA + COINSTAC: Improving Findability, Accessibility, Interoperability, and Re-usability.
Neuroinformatics, 2022
A comparison of methods to harmonize cortical thickness measurements across scanners and sites.
NeuroImage, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Style Transfer Using Generative Adversarial Networks for Multi-site MRI Harmonization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Predicting Progression from Mild Cognitive Impairment to Alzheimer's Disease using MRI-based Cortical Features and a Two-State Markov Model.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
A Deep Transfer Learning Framework for 3D Brain Imaging Based on Optimal Mass Transport.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020
2019
Diffusion MRI Indices and Their Relation to Cognitive Impairment in Brain Aging: The Updated Multi-protocol Approach in ADNI3.
Frontiers Neuroinformatics, 2019
Support Vector Based Autoregressive Mixed Models of Longitudinal Brain Changes and Corresponding Genetics in Alzheimer's Disease.
Proceedings of the Predictive Intelligence in Medicine - Second International Workshop, 2019
Multi-Shell Diffusion MRI Measures of Brain Aging: A Preliminary Comparison From ADNI3.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
2018
FIBERNET 2.0: An automatic neural network based tool for clustering white matter fibers in the brain.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017