Publications
Sheelakumari Raghavan, Scott A. Przybelski, Robel K. Gebre, et al. (2026). Regional diffusion imaging measures to disentangle SVD-related hypertensive arteriopathy versus cerebral amyloid angiopathy. Molecular Degeneration.
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Robel K. Gebre, Sheelakumari Raghavan, Mari E.J. De Tora, et al. (2026). Precise disease heterogeneity and progression quantification in MSA and Parkinson's disease using machine learning. Scientific Reports.
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Sheelakumari Raghavan, Robel K. Gebre, Prashanthi Vemuri (2026). Chapter 8 - Artificial intelligence: Relevance and applications in dementia. Artificial Intelligence and Brain-Computer Interfaces in Healthcare, Academic Press.
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Robert I. Reid, Robel K. Gebre, et al. (2025). Automatic Classification of Head MR Series. Alzheimer’s & Dementia.
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Siddhartha Satpathi, Robel K. Gebre, et al. (2025). Developing scanner change invariant brain age models for aging and dementia studies. Alzheimer’s & Dementia.
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Sheelakumari Raghavan, Scott A. Przybelski, Robel K. Gebre, et al. (2025). Diffusion Imaging Measures to Disentangle SVD-related Hypertensive Arteriopathy versus Cerebral Amyloid Angiopathy. Cerebral Circulation - Cognition and Behavior.
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Calvin D. Reyes, Robel K. Gebre, et al. (2025). Harmonization Remains Unresolved: The Case of White Matter Hyperintensity Using ComBat And Deming Regression. Alzheimer’s & Dementia.
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Robel K. Gebre, Scott A. Przybelski, Sheelakumari Raghavan, et al. (2025). Precise Estimation Of Heterogenous Global Tau Burden In The Brain Sheds Light On Cognitive Resilience Mechanisms. Alzheimer’s & Dementia.
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Robel K. Gebre, Jonathan Graff-Radford, Vijay K. Ramanan, et al. (2024). Can integration of Alzheimer's plasma biomarkers with MRI, cardiovascular, genetics, and lifestyle measures improve cognition prediction?. Brain Communications.
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Robel K. Gebre, Alejandro M. Rial, Sujata Raghavan, et al. (2024). Advancing Tau PET Quantification in Alzheimer Disease with Machine Learning: Introducing THETA, a Novel Tau Summary Measure. Journal of Nuclear Medicine.
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Diego Carvalho, Nathaniel Gunter, Robel K. Gebre, et al. (2024). Mapping neuroimaging using artificial intelligence to detect hypersomnia and its neurobiological correlates. Sleep Medicine.
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Nathaniel B. Gunter, Robel K. Gebre, Jonathan Graff-Radford, et al. (2024). Machine Learning Models of Polygenic Risk for Enhanced Prediction of Alzheimer Disease Endophenotypes. Neurology Genetics.
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Xi Yu, Scott A. Przybelski, Robert I. Reid, Robel K. Gebre, et al. (2024). Chronic Medical Conditions and Dementia Risk: Brain Age Models for Quantifying Impact and Understanding Mechanisms. Alzheimer’s & Dementia.
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Robel K. Gebre, Clifford R. Jack, Prashanthi Vemuri (2024). Identifying transition points in AD biomarkers using machine learning: A supplement to the reliable worsening method. Alzheimer’s & Dementia.
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Robel K. Gebre, et al. (2024). Validation Of the Tau Heterogeneity Evaluation in Alzheimer's Disease (THETA) Score Using Longitudinal and Histopathology Data. Alzheimer’s & Dementia.
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Xi Yu, Robel K. Gebre, et al. (2023). NODDI May Be More Sensitive to Neurodegenerative Changes Than Structural MRI. Alzheimer’s & Dementia.
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Sheelakumari Raghavan, Scott A. Przybelski, Timothy G. Lesnick, et al. (2023). Non-imaging measures to predict variability in white matter changes relevant to VCID. Alzheimer’s & Dementia.
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Sheelakumari Raghavan, Scott A. Przybelski, Timothy G. Lesnick, et al. (2023). Vascular risk, gait, behavioral, and plasma indicators of VCID. Alzheimer’s & Dementia.
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Vijay K. Ramanan, Robel K. Gebre, Jonathan Graff-Radford, et al. (2023). Genetic risk scores enhance the diagnostic value of plasma biomarkers of brain amyloidosis. Brain.
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Nathaniel B. Gunter, Robel K. Gebre, et al. (2023). A Novel Approach to Encode Two-Way Epistatic Interactions Between Single Nucleotide Polymorphisms. arXiv (Preprint).
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Jianqiao Tian, Sheelakumari Raghavan, Robert I. Reid, et al. (2023). White Matter Degeneration Pathways Associated With Tau Deposition in Alzheimer Disease. Neurology.
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Robel K. Gebre, et al. (2023). Cross-scanner harmonization methods for structural MRI may need further work: A comparison study. NeuroImage.
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Robel K. Gebre, Jukka Hirvasniemi, Rianne A. Van Der Heijden, et al. (2022). Detecting hip osteoarthritis on clinical CT: A deep learning application based on 2-D summation images derived from CT. Osteoporosis International.
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Md. Aminul Haque Bhuyan, Robel K. Gebre, Mikko A.J. Finnilä, et al. (2022). Preparation of filter by alkali activation of blast furnace slag and its application for dye removal. Journal of Environmental Chemical Engineering.
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Robel K. Gebre, Jukka Hirvasniemi, Iikka Lantto, et al. (2021). Discrimination of Low-Energy Acetabular Fractures from Controls Using Computed Tomography-Based Bone Characteristics. Annals of Biomedical Engineering.
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Robel K. Gebre, et al. (2019). Structural risk factors for low-energy acetabular fractures. Bone.
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