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ORCIDJohannes Levin
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2020 – today
- 2023
[j6]Carmen Jimenez-Mesa
, Javier Ramírez, John Suckling, Jonathan Vöglein, Johannes Levin, Juan Manuel Górriz:
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, Brian A. Gordon, Chengjie Xiong, Jasmeer P. Chhatwal, Clifford R. Jack, Celeste Karch, Sarah Berman, Jared R. Brosch, James J. Lah, Adam M. Brickman, David M. Cash, Nick C. Fox, Neill R. Graff-Radford, Johannes Levin, James Noble, David M. Holtzman, Colin L. Masters, Martin R. Farlow, Christoph Laske, Peter R. Schofield, Daniel S. Marcus, John C. Morris, Tammie L. S. Benzinger, Randall J. Bateman, Beau M. Ances:
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, Li Su, Javier Ramírez, Diego Salas-Gonzalez, Francisco Jesús Martínez-Murcia, Ignacio A. Illán, Fermín Segovia, Andrés Ortiz, Carlos Cruchaga, Martin R. Farlow, Chengjie Xiong, Neil R. Graff-Radford, Peter R. Schofield, Colin L. Masters, Stephen P. Salloway, Mathias Jucker, Hiroshi Mori, Johannes Levin, Juan Manuel Górriz, Dominantly Inherited Alzheimer Network (DIAN):
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, 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. Comput. Vis. Image Underst. 164: 92-102 (2017) - [j2]Fermín Segovia, Juan Manuel Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Johannes Levin, Madeleine Schuberth, Matthias Brendel, Axel Rominger, Kai Bötzel, Gaëtan Garraux, Christophe Phillips:
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, Ignacio Álvarez Illán, Juan Manuel Górriz, Javier Ramírez, Axel Rominger, Johannes Levin:
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)
Coauthor Index
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