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Johannes Levin
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2020 – today
- 2023
- [j6]Carmen Jimenez-Mesa
, Javier Ramírez
A non-parametric statistical inference framework for Deep Learning in current neuroimaging. Inf. Fusion 91: 598-611 (2023) - 2021
- [j5]Robert X. Smith, Jeremy F. Strain, Aaron Tanenbaum, Anne M. Fagan, Jason Hassenstab, Eric McDade, Suzanne E. Schindler
Resting-State Functional Connectivity Disruption as a Pathological Biomarker in Autosomal Dominant Alzheimer Disease. Brain Connect. 11(3): 239-249 (2021) - [i2]Carmen Jimenez-Mesa, Javier Ramírez, John Suckling, Jonathan Vöglein, Johannes Levin, Juan Manuel Górriz, Alzheimer's Disease Neuroimaging Initiative, Dominantly Inherited Alzheimer Network (DIAN):
Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability. CoRR abs/2103.16685 (2021) - 2020
- [j4]Diego Castillo-Barnes
Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning. Inf. Fusion 58: 153-167 (2020)
2010 – 2019
- 2017
- [j3]Fausto Milletari, Seyed-Ahmad Ahmadi
Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound. Comput. Vis. Image Underst. 164: 92-102 (2017) - [j2]Fermín Segovia
Multivariate Analysis of 18F-DMFP PET Data to Assist the Diagnosis of Parkinsonism. Frontiers Neuroinformatics 11: 23 (2017) - 2016
- [i1]Fausto Milletari, Seyed-Ahmad Ahmadi, Christine Kroll, Annika Plate, Verena E. Rozanski, Juliana Maiostre, Johannes Levin, Olaf Dietrich, Birgit Ertl-Wagner, Kai Bötzel, Nassir Navab:
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound. CoRR abs/1601.07014 (2016) - 2015
- [j1]Fermín Segovia
Distinguishing Parkinson's disease from atypical parkinsonian syndromes using PET data and a computer system based on support vector machines and Bayesian networks. Frontiers Comput. Neurosci. 9: 137 (2015)
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