Johannes Levin

According to our database, Johannes Levin authored at least 11 papers between 2015 and 2026.

Collaborative distances:

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

2026

Robust validation of neuroimaging and clinical models via the SAR method: A case study based on the ADNI dataset.

Alejandro Hernández, Ignacio A. Illán, Javier Ramírez, Fermín Segovia, Francisco Jesús Martínez-Murcia, Johannes Levin, J. M. Górriz

NeuroImage, 2026

Modeling and Predicting Age-at-Onset Trajectories in Genetic Frontotemporal Dementia Using Survival Methods.

Juan Eloy Arco, Lena Marth, Sonja Schönecker, Francisco Jesús Martínez-Murcia, Catharina Prix, Olivia Wagemann, Elisabeth Wlasich, Alexander M. Bernhardt, Anna Stockbauer, Arabella Bouzigues, Lucy Chisman-Russell, Eve Ferry-Bolder, Phoebe H. Foster, Günter U. Höglinger, Jonathan D. Rohrer, Bradley F. Boeve, Adam L. Boxer, Howard J. Rosen, Hilary W. Heuer, Leah K. Forsberg, E. Marisa Ramos, Javier Ramírez, Juan M. Górriz, Johannes Levin

Proceedings of the Artificial Intelligence for Neuroscience, Mental Health, and Neurodegenerative Disorders, 2026

2025

Pragmatic algorithm for visual assessment of 4-Repeat tauopathies in [18F]PI-2620 PET Scans.

Theresa Bauer, Matthias Brendel, Mirlind Zaganjori, Alexander M. Bernhardt, Alexander Jäck, Sophia Stöcklein, Maximilian Scheifele, Johannes Levin, Thilo Van Eimeren, Alexander Drzezga, Osama Sabri, Henryk Barthel, Robert Perneczky, Günter U. Höglinger, Nicolai Franzmeier, Johannes Gnörich

NeuroImage, 2025

2024

Identifying latent disease factors differently expressed in patient subgroups using group factor analysis.

Fabio S. Ferreira, John Ashburner, Arabella Bouzigues, Chatrin Suksasilp, Lucy L. Russell, Phoebe H. Foster, Eve Ferry-Bolder, John C. van Swieten, Lize C. Jiskoot, Harro Seelaar, Raquel Sánchez-Valle, Robert Laforce, Caroline Graff, Daniela Galimberti, Rik Vandenberghe, Alexandre de Mendonça, Pietro Tiraboschi, Isabel Santana, Alexander Gerhard, Johannes Levin, Sandro Sorbi, Markus Otto, Florence Pasquier, Simon Ducharme, Chris R. Butler, Isabelle Le Ber, Elizabeth C. Finger, Maria C. Tartaglia, Mario Masellis, James B. Rowe, Matthis Synofzik, Fermin Moreno, Barbara Borroni, Samuel Kaski, Jonathan D. Rohrer, Janaina Mourão Miranda

CoRR, 2024

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