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09/13/2023
Tackling the dimensions in imaging genetics with CLUB-PLS
A major challenge in imaging genetics and similar fields is to link high...
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09/08/2023
Linking Symptom Inventories using Semantic Textual Similarity
An extensive library of symptom inventories has been developed over time...
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05/25/2023
Incomplete Multimodal Learning for Complex Brain Disorders Prediction
Recent advancements in the acquisition of various brain data sources hav...
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03/31/2023
A Surface-Based Federated Chow Test Model for Integrating APOE Status, Tau Deposition Measure, and Hippocampal Surface Morphometry
Background: Alzheimer's Disease (AD) is the most common type of age-rela...
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03/14/2023
Few-Shot Classification of Autism Spectrum Disorder using Site-Agnostic Meta-Learning and Brain MRI
For machine learning applications in medical imaging, the availability o...
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03/14/2023
Efficiently Training Vision Transformers on Structural MRI Scans for Alzheimer's Disease Detection
Neuroimaging of large populations is valuable to identify factors that p...
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02/27/2023
Curriculum Based Multi-Task Learning for Parkinson's Disease Detection
There is great interest in developing radiological classifiers for diagn...
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10/20/2021
Predicting Tau Accumulation in Cerebral Cortex with Multivariate MRI Morphometry Measurements, Sparse Coding, and Correntropy
Biomarker-assisted diagnosis and intervention in Alzheimer's disease (AD...
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08/07/2021
Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption
Federated learning (FL) enables distributed computation of machine learn...
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05/06/2021
Membership Inference Attacks on Deep Regression Models for Neuroimaging
Ensuring the privacy of research participants is vital, even more so in ...
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02/08/2021
Improved Brain Age Estimation with Slice-based Set Networks
Deep Learning for neuroimaging data is a promising but challenging direc...
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05/29/2020
Overview of Scanner Invariant Representations
Pooled imaging data from multiple sources is subject to bias from each s...
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04/10/2019
Scanner Invariant Representations for Diffusion MRI Harmonization
Pooled imaging data from multiple sources is subject to variation betwee...
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10/19/2018
Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data
At this moment, databanks worldwide contain brain images of previously u...
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06/12/2018
Measures of Tractography Convergence
In the present work, we use information theory to understand the empiric...
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10/29/2017
A Fast, Accurate Two-Step Linear Mixed Model for Genetic Analysis Applied to Repeat MRI Measurements
Large-scale biobanks are being collected around the world in efforts to ...
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10/14/2017
Simultaneous Matrix Diagonalization for Structural Brain Networks Classification
This paper considers the problem of brain disease classification based o...
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05/26/2017
Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model
Large-scale collaborative analysis of brain imaging data, in psychiatry ...
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04/27/2017
Large-scale Feature Selection of Risk Genetic Factors for Alzheimer's Disease via Distributed Group Lasso Regression
Genome-wide association studies (GWAS) have achieved great success in th...
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03/02/2017
A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex
One of the primary objectives of human brain mapping is the division of ...
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11/18/2016
An Empirical Study of Continuous Connectivity Degree Sequence Equivalents
In the present work we demonstrate the use of a parcellation free connec...
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08/19/2016