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Artemis Zavaliangos-Petropulu
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2010 – 2019
- 2019
- [j2]Artemis Zavaliangos-Petropulu
, Talia M. Nir
Diffusion MRI Indices and Their Relation to Cognitive Impairment in Brain Aging: The Updated Multi-protocol Approach in ADNI3. Frontiers Neuroinformatics 13: 2 (2019) - [c5]Talia M. Nir
Multi-Shell Diffusion MRI Measures of Brain Aging: A Preliminary Comparison From ADNI3. ISBI 2019: 173-177 - 2018
- [j1]Kaori L. Ito
Pipeline for Analyzing Lesions After Stroke (PALS). Frontiers Neuroinformatics 12: 63 (2018) - [c4]Dmitry Petrov, Boris A. Gutman, Egor Kuznetsov, Christopher R. K. Ching, Kathryn I. Alpert, Artemis Zavaliangos-Petropulu, Dmitry Isaev
Deep Learning for Quality Control of Subcortical Brain 3D Shape Models. ShapeMI@MICCAI 2018: 268-276 - 2017
- [c3]Dmitry Petrov, Boris A. Gutman, Shih-Hua (Julie) Yu, Kathryn I. Alpert, Artemis Zavaliangos-Petropulu, Dmitry Isaev
Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging. MLMI@MICCAI 2017: 371-378 - 2016
- [c2]Talia M. Nir
Diffusion tensor distribution function metrics boost power to detect deficits in Alzheimer's disease. ISBI 2016: 1088-1092 - 2015
- [c1]Ayse Demirhan
Feature selection improves the accuracy of classifying Alzheimer disease using diffusion tensor images. ISBI 2015: 126-130
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last updated on 2024-08-05 20:20 CEST by the dblp team
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