TEF-Health – News & Publications

Publications

TEF-Health publications

2024

  • Michael Schirner and Petra Ritter (2024)
    Virtuelle Forschungsumgebung für Gesundheitsdaten: Virtual Research Environment (VRE) und Health Data Cloud (HDC). Nomos
  • Erik C. Johnson, Thinh T. Nguyen, Benjamin K. Dichter, [...], Michael Schirner, Petra Ritter, [...], Dimitri Yatsenko (2024)
    A Maturity Model for Operations in Neuroscience Research. arXiv (preprint)
  • Russell A. Poldrack, Christopher J. Markiewicz, Stefan Appelhoff, [...], Petra Ritter, [...], Michael Schirner, [...], Krzysztof J. Gorgolewski (2024)
    The Past, Present, and Future of the Brain Imaging Data Structure (BIDS). eNeuro (in press)
  • Jesús Cabrera-Álvarez, Leon Stefanovski, Leon Martin, Gianluca Susi, Fernando Maestú, Petra Ritter (2024)
    A multiscale closed-loop neurotoxicity model of Alzheimer's disease progression explains functional connectivity alterations. bioRxiv (preprint)

 

2023

  • Patrik Bey, Kiret Dhindsa, Amrit Kashyap, Michael Schirner, Jan Feldheim, Marlene Bönstrup, Robert Schulz, Bastian Cheng, Götz Thomalla, Christian Gerloff, Petra Ritter (2023)
    Lesion aware automated processing pipeline for multimodal neuroimaging stroke data and The Virtual Brain (TVB). bioRxiv (preprint)
  • Michael Schirner, Gustavo Deco, Petra Ritter (2023)
    Learning how network structure shapes decision-making for bio-inspired computing. Nature Communications
  • Patow, Stefanovski, Ritter, Deco, Kobeleva, and for the Alzheimer’s Disease Neuroimaging Initiative (2023)
    Whole-brain modeling of the differential influences of amyloid-beta and tau in Alzheimer’s disease. Alzheimer’s Research and Therapy
  • Monteverdi, Palesi, Schirner, Argentino, Merante, Redolfi, Conca, Mazzocchi, Cappa, Ramusino, Costa, Pichiecchio, Farina, Jirsa, Ritter, Wheeler-Kingshott, D’Angelo (2023)
    Virtual brain simulations reveal network-specific parameters in neurodegenerative dementias. Front. Aging Neurosci.
  • Amrit Kashyap, Sergey Plis, Petra Ritter, Shella Keilholz (2023)
    A deep learning approach to estimating initial conditions of Brain Network Models in reference to measured fMRI data. Front. Neurosci.
  • Fridolin Steinbeis, Charlotte Thibeault, Sarah Steinbrecher, [...], Petra Ritter, [...], Martin Witzenrath (2023)
    Analysis of acute COVID-19 including chronic morbidity: protocol for the deep phenotyping National Pandemic Cohort Network in Germany (NAPKON-HAP). Infection

2022

  • Schirner, Domide, Perdikis, Triebkorn, Stefanovski, Pai, Prodan, Valean, Palmer, Langford, Blickensdörfer, van der Vlag, Diaz-Pier, Peyser, Woodman, Zehl, Fousek, Petkoski, Kusch, Hashemi, Marinazzo, Mangin, Flöel, Akintoye, Stahl, Deco, McIntosh, Hilgetag, Morgan, Schuller, Upton, McMurtrie, Dickscheid, Bjaalie, Amunts, Mersmann, Jirsa, Ritter.
    Brain Simulation as a Cloud Service: The Virtual Brain on the European Research Platform EBRAINS (2022). Neuroimage

Read more

© 2024 | TEF-Health Consortium | All rights reserved