| Preparation of filter by alkali activation of blast furnace slag and its application for dye removal MAH Bhuyan, RK Gebre, MAJ Finnilä, M Illikainen, T Luukkonen Journal of Environmental Chemical Engineering 10 (1), 107051, 2022 | 26 | 2022 |
| Cross–scanner harmonization methods for structural MRI may need further work: A comparison study RK Gebre, ML Senjem, S Raghavan, CG Schwarz, JL Gunter, ... Neuroimage 269, 119912, 2023 | 17 | 2023 |
| Structural risk factors for low-energy acetabular fractures RK Gebre, J Hirvasniemi, I Lantto, S Saarakkala, J Leppilahti, T Jämsä Bone 127, 334-342, 2019 | 10 | 2019 |
| White matter degeneration pathways associated with tau deposition in Alzheimer disease J Tian, S Raghavan, RI Reid, SA Przybelski, TG Lesnick, RK Gebre, ... Neurology 100 (22), e2269-e2278, 2023 | 9 | 2023 |
| Detecting hip osteoarthritis on clinical CT: a deep learning application based on 2-D summation images derived from CT RK Gebre, J Hirvasniemi, RA van der Heijden, I Lantto, S Saarakkala, ... Osteoporosis International 33 (2), 355-365, 2022 | 9 | 2022 |
| Genetic risk scores enhance the diagnostic value of plasma biomarkers of brain amyloidosis VK Ramanan, RK Gebre, J Graff-Radford, E Hofrenning, ... Brain 146 (11), 4508-4519, 2023 | 6 | 2023 |
| Discrimination of low-energy acetabular fractures from controls using computed tomography-based bone characteristics RK Gebre, J Hirvasniemi, I Lantto, S Saarakkala, J Leppilahti, T Jämsä Annals of Biomedical Engineering 49, 367-381, 2021 | 4 | 2021 |
| Advancing Tau PET Quantification in Alzheimer Disease with Machine Learning: Introducing THETA, a Novel Tau Summary Measure RK Gebre, AM Rial, S Raghavan, HJ Wiste, F Heeman, ... Journal of Nuclear Medicine, 2024 | 1 | 2024 |
| A Novel Approach to Encode Two-Way Epistatic Interactions Between Single Nucleotide Polymorphisms N Gunter, P Vemuri, V Ramanan, RK Gebre arXiv preprint arXiv:2306.09175, 2023 | 1 | 2023 |
| White Matter Degeneration Pathways Associated with Tau Deposition in Alzheimer’s Disease J Tian, RI Reid, SA Przybelski, S Raghavan, RK Gebre, J Graff‐Radford, ... Alzheimer's & Dementia 18, e062596, 2022 | 1 | 2022 |
| Improved automated cerebral microbleed (CMB) detection JL Gunter, AK Mead, CL Bermudez, HJ Wiste, RK Gebre, P Vemuri, ... Alzheimer's & Dementia 18, e067992, 2022 | 1 | 2022 |
| Which NODDI implementation is nicest for diffusion MRI? RI Reid, MG Kamykowski, RK Gebre, CR Jack Jr, P Vemuri Alzheimer's & Dementia 18, e064315, 2022 | 1 | 2022 |
| Chronic Medical Conditions and Dementia Risk: Brain Age Models for Quantifying Impact and Understanding Mechanisms X Yu, SA Przybelski, RI Reid, RK Gebre, TG Lesnick, M Vassilaki, ... Alzheimer's Association International Conference, 2024 | | 2024 |
| Validation Of the Tau Heterogeneity Evaluation in Alzheimer’s Disease (THETA) Score Using Longitudinal and Histopathology Data RK Gebre, A Moscoso, S Raghavan, HJ Wiste, F Heeman, ... Alzheimer's Association International Conference, 2024 | | 2024 |
| Identifying transition points in AD biomarkers using machine learning: A supplement to the reliable worsening method RK Gebre, CR Jack, P Vemuri Alzheimer's Association International Conference, 2024 | | 2024 |
| Mapping neuroimaging using artificial intelligence to detect hypersomnia and its neurobiological correlates D Carvalho, N Gunter, R Gebre, M Stuart, E St Louis, M Silber, ... Sleep Medicine 115, S76-S77, 2024 | | 2024 |
| Vascular risk, gait, behavioral, and plasma indicators of VCID S Raghavan, SA Przybelski, TG Lesnick, AJ Fought, RI Reid, RK Gebre, ... Alzheimer's & Dementia 20 (2), 1201-1213, 2024 | | 2024 |
| Machine Learning Models of Polygenic Risk for Enhanced Prediction of Alzheimer Disease Endophenotypes NB Gunter, RK Gebre, J Graff-Radford, MG Heckman, CR Jack Jr, ... Neurology: Genetics 10 (1), e200120, 2024 | | 2024 |
| A Machine Learning Approach to Identify Individualized Baseline MRI, Plasma, Cardiovascular and Lifestyle Predictors of a 5‐Year Cognitive Decline RK Gebre, VK Ramanan, S Raghavan, EI Hofrenning, SA Przybelski, ... Alzheimer's & Dementia 19, e082831, 2023 | | 2023 |
| Non‐imaging measures to predict variability in white matter changes relevant to VCID S Raghavan, SA Przybelski, TG Lesnick, RI Reid, AJ Fought, RK Gebre, ... Alzheimer's & Dementia 19, e077200, 2023 | | 2023 |
Prashanthi VemuriMayo Clinic在 mayo.edu 的电子邮件经过验证
