Graph convolutional neural networks for Alzheimer's disease classification

TA Song, SR Chowdhury, F Yang… - 2019 IEEE 16th …, 2019 - ieeexplore.ieee.org
Graph convolutional neural networks (GCNNs) aim to extend the data representation and
classification capabilities of convolutional neural networks, which are highly effective for …

PET image super-resolution using generative adversarial networks

TA Song, SR Chowdhury, F Yang, J Dutta - Neural Networks, 2020 - Elsevier
The intrinsically low spatial resolution of positron emission tomography (PET) leads to
image quality degradation and inaccurate image-based quantitation. Recently developed …

Super-resolution PET imaging using convolutional neural networks

TA Song, SR Chowdhury, F Yang… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Positron emission tomography (PET) suffers from severe resolution limitations which reduce
its quantitative accuracy. In this article, we present a super-resolution (SR) imaging …

[HTML][HTML] AI-Driven sleep staging from actigraphy and heart rate

TA Song, SR Chowdhury, M Malekzadeh, S Harrison… - Plos one, 2023 - journals.plos.org
Sleep is an important indicator of a person’s health, and its accurate and cost-effective
quantification is of great value in healthcare. The gold standard for sleep assessment and the …

PET image deblurring and super-resolution with an MR-based joint entropy prior

TA Song, F Yang, SR Chowdhury, K Kim… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
The intrinsically limited spatial resolution of positron emission tomography (PET) confounds
image quantitation. This paper presents an image deblurring and super-resolution …

[HTML][HTML] Longitudinal predictive modeling of tau progression along the structural connectome

F Yang, SR Chowdhury, HIL Jacobs, J Sepulcre… - Neuroimage, 2021 - Elsevier
Tau neurofibrillary tangles, a pathophysiological hallmark of Alzheimer’s disease (AD),
exhibit a stereotypical spatiotemporal trajectory that is strongly correlated with disease …

Development and validation of a multimodal neuroimaging biomarker for electroconvulsive therapy outcome in depression: a multicenter machine learning analysis

…, T Barbour, J Camprodon, S Chowdhury… - Psychological …, 2024 - cambridge.org
BackgroundElectroconvulsive therapy (ECT) is the most effective intervention for patients
with treatment resistant depression. A clinical decision support tool could guide patient …

A longitudinal model for tau aggregation in Alzheimer's disease based on structural connectivity

F Yang, SR Chowdhury, HIL Jacobs… - … Processing in Medical …, 2019 - Springer
Tau tangles are a pathological hallmark of Alzheimer’s disease (AD) with strong correlations
existing between tau aggregation and cognitive decline. Studies in mouse models have …

Super-resolution PET using a very deep convolutional neural network

TA Song, SR Chowdhury, K Kim, K Gong… - 2018 IEEE Nuclear …, 2018 - ieeexplore.ieee.org
The quantitative accuracy of PET is degraded by partial volume effects caused by the
limited spatial resolution capabilities of PET scanners. In this paper, we present a resolution …

A physics-informed geometric learning model for pathological tau spread in alzheimer's disease

TA Song, SR Chowdhury, F Yang, HIL Jacobs… - … Image Computing and …, 2020 - Springer
Tau tangles are a pathophysiological hallmark of Alzheimer’s disease (AD) and exhibit a
stereotypical pattern of spatiotemporal spread which has strong links to disease progression …