activity
20162022
most citedMultimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images

43 citations · 61 across the 6 of their papers we have counts for

collaborators

9 papers

cs.CV2024

Automated Body Composition Analysis Using DAFS Express on 2D MRI Slices at L3 Vertebral Level

Varun Akella, Razeyeh Bagherinasab, Jia Ming Li +5

Body composition analysis is vital in assessing health conditions such as obesity, sarcopenia, and metabolic syndromes. MRI provides detailed images of skeletal muscle (SKM), visce…

cs.LG2022

Machine Learning Based Multimodal Neuroimaging Genomics Dementia Score for Predicting Future Conversion to Alzheimer's Disease

Ghazal Mirabnahrazam, Da Ma, Sieun Lee +7

Background: The increasing availability of databases containing both magnetic resonance imaging (MRI) and genetic data allows researchers to utilize multimodal data to better under…

eess.IV20211 cited

Differential Diagnosis of Frontotemporal Dementia and Alzheimer's Disease using Generative Adversarial Network

Da Ma, Donghuan Lu, Karteek Popuri +1

Frontotemporal dementia and Alzheimer's disease are two common forms of dementia and are easily misdiagnosed as each other due to their similar pattern of clinical symptoms. Differ…

cs.CV202115 cited

Comprehensive Validation of Automated Whole Body Skeletal Muscle, Adipose Tissue, and Bone Segmentation from 3D CT images for Body Composition Analysis: Towards Extended Body Composition

Da Ma, Vincent Chow, Karteek Popuri +1

The latest advances in computer-assisted precision medicine are making it feasible to move from population-wide models that are useful to discover aggregate patterns that hold for…

cs.CV2018

On the Applicability of Registration Uncertainty

Jie Luo, Alireza Sedghi, Karteek Popuri +8

Estimating the uncertainty in (probabilistic) image registration enables, e.g., surgeons to assess the operative risk based on the trustworthiness of the registered image data. If…

cs.CV20171 cited

Development and validation of a novel dementia of Alzheimer's type (DAT) score based on metabolism FDG-PET imaging

Karteek Popuri, Rakesh Balachandar, Kathryn Alpert +7

Fluorodeoxyglucose positron emission tomography (FDG-PET) imaging based 3D topographic brain glucose metabolism patterns from normal controls (NC) and individuals with dementia of…