Design and compatibility of a high-performance actuation system for fMRI-based neuroscience studies. - Masayuki Hara; Julio Duenas; Tobias Kober; Dominique Chapuis; Olivier Lambercy; Hannes Bleuler; Roger Gassert (IROS, 2010)

MP2RAGE, a self bias-field corrected sequence for improved segmentation and T1-mapping at high field. - José P. Marques; Tobias Kober; Gunnar Krueger; Wietske van der Zwaag; Pierre-François van de Moortele; Rolf Gruetter (NeuroImage, 2010)

Prospective and retrospective motion correction in diffusion magnetic resonance imaging of the human brain. - Tobias Kober; Rolf Gruetter; Gunnar Krueger (NeuroImage, 2012)

Quantitative comparison of cortical surface reconstructions from MP2RAGE and multi-echo MPRAGE data at 3 and 7 T. - Kyoko Fujimoto; Jonathan R. Polimeni; André J. W. van der Kouwe; Martin Reuter 001; Tobias Kober; Thomas Benner; Bruce Fischl; Lawrence L. Wald (NeuroImage, 2014)

Accuracy and Precision of Head Motion Information in Multi-Channel Free Induction Decay Navigators for Magnetic Resonance Imaging. - Maryna Babayeva; Tobias Kober; Benjamin R. Knowles; Michael Herbst; Reto Meuli; Maxim Zaitsev; Gunnar Krueger (IEEE Trans. Medical Imaging, 2015)

Comparison of accelerated T1-weighted whole-brain structural-imaging protocols. - Pavel Falkovskiy; Daniel Brenner; Thorsten Feiweier; Stephan A. R. Kannengiesser; Bénédicte Maréchal; Tobias Kober; Alexis Roche; Kaely Thostenson; Reto Meuli; Denise Reyes; Tony Stöcker; Matt A. Bernstein; et al. (NeuroImage, 2016)

Segmentation of Cortical and Subcortical Multiple Sclerosis Lesions Based on Constrained Partial Volume Modeling. - Mário João Fartaria; Alexis Roche; Reto Meuli; Cristina Granziera; Tobias Kober; Meritxell Bach Cuadra (MICCAI (3), 2017)

Shallow vs Deep Learning Architectures for White Matter Lesion Segmentation in the Early Stages of Multiple Sclerosis. - Francesco La Rosa; Mário João Fartaria; Tobias Kober; Jonas Richiardi; Cristina Granziera; Jean-Philippe Thiran; Meritxell Bach Cuadra (BrainLes@MICCAI (1), 2018)

Multivariate and predictive modelling of neural variability in mild cognitive impairment. - Valeria Kebets; Mitsouko van Assche; Jonas Richiardi; Rachel Goldstein; Reto Meuli; Tobias Kober; Frédéric Assal; Dimitri Van De Ville (PRNI, 2018)

High Contrast T1-Weigthed Mri with Fluid and White Matter Suppression Using Mp2Rage. - Jeremy Beaumont; Hervé Saint-Jalmes; Oscar Acosta; Tobias Kober; Mark Tanner; Jean-Christophe Ferré; Olivier Salvado; Jurgen Fripp; Giulio Gambarota (ISBI, 2019)

T2 Mapping from Super-Resolution-Reconstructed Clinical Fast Spin Echo Magnetic Resonance Acquisitions. - Hélène Lajous; Tom Hilbert; Christopher W. Roy; Sébastien Tourbier; Priscille de Dumast; Thomas Yu; Jean-Philippe Thiran; Jean-Baptiste Ledoux; Davide Piccini; Patric Hagmann; Reto Meuli; Tobias Kober; et al. (MICCAI (2), 2020)

Multi-Compartment Diffusion Mri, T2 Relaxometry And Myelin Water Imaging As Neuroimaging Descriptors For Anomalous Tissue Detection. - Elda Fischi Gomez; Jonathan Rafael-Patino; Marco Pizzolato; Gian Franco Piredda; Tom Hilbert; Tobias Kober; Erick Jorge Canales-Rodríguez; Jean-Philippe Thiran (ISBI, 2021)

Simulated Half-Fourier Acquisitions Single-shot Turbo Spin Echo (HASTE) of the Fetal Brain: Application to Super-Resolution Reconstruction. - Hélène Lajous; Tom Hilbert; Christopher W. Roy; Sébastien Tourbier; Priscille de Dumast; Yasser Alemán-Gómez; Thomas Yu; Hamza Kebiri; Jean-Baptiste Ledoux; Patric Hagmann; Reto Meuli; Vincent Dunet; et al. (UNSURE/PIPPI@MICCAI, 2021)

FaBiAN: A Fetal Brain magnetic resonance Acquisition Numerical phantom. - Hélène Lajous; Christopher W. Roy; Tom Hilbert; Priscille de Dumast; Sébastien Tourbier; Yasser Alemán-Gómez; Jérôme Yerly; Thomas Yu; Hamza Kebiri; Kelly Payette; Jean-Baptiste Ledoux; Reto Meuli; et al. (CoRR, 2021)

Comparison of non-parametric T2 relaxometry methods for myelin water quantification. - Erick Jorge Canales-Rodríguez; Marco Pizzolato; Gian Franco Piredda; Tom Hilbert; Nicolas Kunz; Caroline Pot; Thomas Yu; Raymond Salvador; Edith Pomarol-Clotet; Tobias Kober; Jean-Philippe Thiran; Alessandro Daducci (Medical Image Anal., 2021)

Model-informed machine learning for multi-component T2 relaxometry. - Thomas Yu; Erick Jorge Canales-Rodríguez; Marco Pizzolato; Gian Franco Piredda; Tom Hilbert; Elda Fischi Gomez; Matthias Weigel; Muhamed Barakovic; Meritxell Bach Cuadra; Cristina Granziera; Tobias Kober; Jean-Philippe Thiran (Medical Image Anal., 2021)

Revisiting the T2 spectrum imaging inverse problem: Bayesian regularized non-negative least squares. - Erick Jorge Canales-Rodríguez; Marco Pizzolato; Thomas Yu; Gian Franco Piredda; Tom Hilbert; Joaquim Radua; Tobias Kober; Jean-Philippe Thiran (NeuroImage, 2021)

Weighting Schemes for Federated Learning in Heterogeneous and Imbalanced Segmentation Datasets. - Sebastian Otálora; Jonathan Rafael-Patino; Antoine Madrona; Elda Fischi Gomez; Veronica Ravano; Tobias Kober; Søren Christensen; Arsany Hakim; Roland Wiest; Jonas Richiardi; Richard McKinley (BrainLes@MICCAI, 2022)

Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-Protocol Volumetric Consistency. - Veronica Ravano; Jean-François Démonet; Daniel Damian; Reto Meuli; Gian Franco Piredda; Till Huelnhagen; Bénédicte Maréchal; Jean-Philippe Thiran; Tobias Kober; Jonas Richiardi (MLCN@MICCAI, 2022)

Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues. - Francesco La Rosa; Maxence Wynen; Omar Al-Louzi; Erin S. Beck; Till Huelnhagen; Pietro Maggi; Jean-Philippe Thiran; Tobias Kober; Russell T. Shinohara; Pascal Sati; Daniel S. Reich; Cristina Granziera; et al. (CoRR, 2022)

Validation and Generalizability of Self-Supervised Image Reconstruction Methods for Undersampled MRI. - Thomas Yu; Tom Hilbert; Gian Franco Piredda; Arun Joseph; Gabriele Bonanno; Salim Zenkhri; Patrick Omoumi; Meritxell Bach Cuadra; Erick Jorge Canales-Rodríguez; Tobias Kober; Jean-Philippe Thiran (CoRR, 2022)

Evaluating reproducibility and subject-specificity of microstructure-informed connectivity. - Philipp J. Koch; Gabriel Girard; Julia Brügger; Andéol Cadic-Melchior; Elena Beanato; Chang-Hyun Park; Takuya Morishita; Maximilian Jonas Wessel; Marco Pizzolato; Erick Jorge Canales-Rodríguez; Elda Fischi Gomez; Simona Schiavi; et al. (NeuroImage, 2022)

Deep Learning for Ischemic Penumbra Segmentation from MR Perfusion Maps: Robustness to the Deconvolution Algorithm. - Theo Leuliet; Stefan Huwer; Bénédicte Maréchal; Veronica Ravano; Tobias Kober; Jonathan Rafael-Patino; Johannes Kaesmacher; Roland Wiest; Jonas Richiardi; Richard McKinley (BrainLes/SWITCH@MICCAI, 2023)

Federated Learning on Heterogeneous Diffusion-Weighted Imaging Data for Acute Stroke Infarct Segmentation. - Antoine Madrona; Sebastian Otálora; Elda Fischi Gomez; Veronica Ravano; Bénédicte Maréchal; Jean-Philippe Thiran; Tobias Kober; Roland Wiest; Richard McKinley; Jonas Richiardi; Jonathan Rafael-Patino (ISBI, 2023)

Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency. - Nataliia Molchanova; Bénédicte Maréchal; Jean-Philippe Thiran; Tobias Kober; Till Huelnhagen; Jonas Richiardi (CoRR, 2023)

Brain morphometry in older adults with and without dementia using extremely rapid structural scans. - Maxwell L. Elliott; Lindsay C. Hanford; Aya Hamadeh; Tom Hilbert; Tobias Kober; Bradford C. Dickerson; Ross W. Mair; Mark C. Eldaief; Randy L. Buckner (NeuroImage, 2023)