TEF-Health – News & Publications

Publications

TEF-Health publications

2024

  • Koller, Dominik P., Michael Schirner, and Petra Ritter. Human connectome topology directs cortical traveling waves and shapes frequency gradients. Nature Communications.

  • Patrik Bey, Kiret Dhindsa, Amrit Kashyap, Michael Schirner, Jan Feldheim, Marlene Bönstrup, Robert Schulz, Bastian Cheng, Götz Thomalla, Christian Gerloff, Petra Ritter Lesion aware automated processing pipeline for multimodal neuroimaging stroke data and The Virtual Brain (TVB). Human Brain Mapping (in press).
  • Fehr, Jana, Brian Citro, Rohit Malpani, Christoph Lippert, and Vince I. Madai. A trustworthy AI reality-check: the lack of transparency of artificial intelligence products in healthcare. Frontiers in Digital Health.

  • Katrin Amunts, Markus Axer, Swati Banerjee, Lise Bitsch, Jan G. Bjaalie, Philipp Brauner, Andrea Brovelli, Navona Calarco, Marcel Carrere, Svenja Caspers, Christine J. Charvet, Sven Cichon, Roshan Cools, Irene Costantini, Egidio Ugo D'Angelo, Giulia De Bonis, Gustavo Deco, Javier DeFelipe, Alain Destexhe, Timo Dickscheid, Markus Diesmann, [...], Petra Ritter, Kathleen Rockland, Stefan Rotter, Andreas Rowald, Sabine Ruland, Philippe Ryvlin, Arleen Salles, Maria V. Sanchez-Vives, Johannes Schemmel, Walter Senn, Alexandra A. de Sousa, Felix Ströckens, Bertrand Thirion, Kâmil Uludağ, Simo Vanni, Sacha Jennifer van Albada, Wim Vanduffel, Julien Vezoli, Lisa Vincenz-Donnelly, Florian Walter, Laszlo Zaborszky. (2024) The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing. Imaging Neuroscience

  • Lena Maier-Hein, Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou, Ben Glocker, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, A. Emre Kavur, Carole H. Sudre, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Tim Rädsch, Laura Acion, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Florian Kofler, Annette Kopp-Schneider, Anna Kreshuk, Tahsin Kurc, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Nasir Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux & Paul F. Jäger. (2024) Metrics reloaded: recommendations for image analysis validation. Nature Methods

  • Annika Reinke, Minu D. Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Acion, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Florian Buettner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Lena Maier-Hein. (2024) Understanding metric-related pitfalls in image analysis validation. Nature Methods

  • Nanditha Rajamani, Helen Friedrich, Konstantin Butenko, Till Dembek, Florian Lange, Pavel Navratil, Patricia Zvaroval, Barbara Hollunder, Rob M.A. de Bie, Vincent J.J. Odekerken, Jens Volkmann, Xin Xu, Zhipei Lingl, Chen Yao, Petra Ritter, Wolf-Julian Neumann, Georgios P. Skandalakis, Spyridon Komaitis, Aristotelis Kalyvas, Christos Koutsarnakis, George Stranjalis, Michael Barbe, Vanessa Milanese, Michael D. Fox, Andrea A. Kühn, Erik Middlebrooks, Ningfei Li, Martin Reich, Clemens Neudorfer, Andreas Horn (2024)
    Toward personalized deep brain stimulation. Nature Communications (accepted)
  • 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). Imaging Neuroscience

  • 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)

  • 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

  • Martin Maška et al (2023)
    The Cell Tracking Challenge: 10 years of objective benchmarking.
    Nature Methods

  • 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 (2022)
    Brain Simulation as a Cloud Service: The Virtual Brain on the European Research Platform EBRAINS. Neuroimage

 

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