Johannes Levin

According to our database, Johannes Levin authored at least 7 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A non-parametric statistical inference framework for Deep Learning in current neuroimaging.

Carmen Jimenez-Mesa, Javier Ramírez, John Suckling, Jonathan Vöglein, Johannes Levin, Juan Manuel Górriz

Inf. Fusion, 2023

2021

Deep Learning in current Neuroimaging: a multivariate approach with power and type I error control but arguable generalization ability.

Carmen Jimenez-Mesa, Javier Ramírez, John Suckling, Jonathan Vöglein, Johannes Levin, Juan Manuel Górriz, Alzheimer's Disease Neuroimaging Initiative, Dominantly Inherited Alzheimer Network (DIAN)

CoRR, 2021

Resting-State Functional Connectivity Disruption as a Pathological Biomarker in Autosomal Dominant Alzheimer Disease.

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

Brain Connect., 2021

2020

Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning.

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)

Inf. Fusion, 2020

2017

Multivariate Analysis of 18F-DMFP PET Data to Assist the Diagnosis of Parkinsonism.

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

Frontiers Neuroinformatics, 2017

Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound.

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

Comput. Vis. Image Underst., 2017

2015

Distinguishing Parkinson's disease from atypical parkinsonian syndromes using PET data and a computer system based on support vector machines and Bayesian networks.

Fermín Segovia, Ignacio Álvarez Illán, Juan Manuel Górriz, Javier Ramírez, Axel Rominger, Johannes Levin

Frontiers Comput. Neurosci., 2015