Deutsch Intern
  • Human sceleton (computed tomographic display)
Intelligent MR-Diagnostics of the Liver by Linking Model and Data-driven Processes

Publications

  • J. Kleineisel, K. Lauer, A. Borzì, T. A. Bley, H. Köstler and T. Wech
    Assessment of resolution and noise in magnetic resonance images reconstructed by data driven approaches
    Zeitschrift für Medizinische Physik,
    DOI: 10.1016/j.zemedi.2023.08.007
  • Mathias S. Feinler, Bernadette N. Hahn
    Retrospective Motion Correction in Gradient Echo MRI by Explicit Motion Estimation Using Deep CNNs
    Computer Vision and Pattern Recognition (cs.CV); Numerical Analysis (math.NA),
    DOI: 10.48550/arXiv.2303.17239
  • J. Kleineisel, B. Petritsch, T. A. Bley, H. Köstler, T. Wech
    Reconstruction of accelerated MR cholangiopancreatography using supervised and self-supervised 3D Variational Networks.
    Proceedings of the 31st Annual Meeting of the International Society for Magnetic Resonance in Medicine, June 2023
  • T. Wech, O. Schad, J. Kleineisel
    Physics-informed reconstruction of undersampled MR data using a reverse diffusion model trained with magnitude-only images.
    Proceedings of the 31st Annual Meeting of the International Society for Magnetic Resonance in Medicine, June 2023
  • Jonas Kleineisel, Julius F. Heidenreich, Philipp Eirich, Nils Petri, Herbert Köstler, Bernhard Petritsch, Thorsten A. Bley, Tobias Wech
    Real-time cardiac MRI using undersampled spiral readouts and a reconstruction based on a Variational Network
    Magnetic Resonance in Medicine 2022, doi: 10.1002/mrm.29357.
  • Katja Lauer, Jonas Kleineisel, Alfio Borzì, Thorsten A. Bley, Herbert Köstler, Tobias Wech
    Assessment of resolution and noise in MR images reconstructed by data driven approaches
    ISMRM 2022 – Conference Abstract 0303
  • Tobias Wech, Julius Heidenreich, Thorsten A. Bley, Bettina Baeßler
    A disentangled representation trained for joint reconstruction and segmentation of radially undersampled cardiac MRI
    ISMRM 2022 – Conference Abstract 0016
  • Nadja Vater, Alfio Borzì
    Training Artificial Neural Networks with Gradient and Coarse-Level Correction Schemes
    Machine Learning, Optimization, and Data Science
    7th International Conference, Grasmere, UK, October 4–8, 2021.
    LOD 2021 Springer LNCS Conference Proceedings, LNCS 13163, pp. 473-487, 2022
    DOI: 10.1007/978-3-030-95467-3_34
  • Sebastian Hofmann, Alfio Borzì
    A sequential quadratic hamiltonian algorithm for training explicit RK neural networks
    In: Journal of Computational and Applied Mathematics, 2021 (Online ahead of print),
    DOI: 10.1016/j.cam.2021.113943
  • Tobias Wech, Markus Johannes Ankenbrand, Thorsten Alexander Bley, Julius Frederik Heidenreich
    A data-driven semantic segmentation model for direct cardiac functional analysis based on undersampled radial MR cine series
    In: Magnetic Resonance in Medicine - Wiley Online Library. DOI: 10.1002/mrm.29017
  • Julius F Heidenreich, Tobias Gassenmaier, Markus J Ankenbrand, Thorsten A Bley, Tobias Wech
    Self-configuring nnU-net pipeline enables fully automatic infarct segmentation in late enhancement MRI after myocardial infarction
    In: Eur J Radiol. 2021 Jun 9; Online ahead of print.; DOI: 10.1016/j.ejrad.2021.109817
  • Andreas M Weng, Julius F Heidenreich, Corona Metz, Simon Veldhoen, Thorsten A Bley, Tobias Wech
    Deep learning-based segmentation of the lung in MR-images acquired by a stack-of-spirals trajectory at ultra-short echo-times
    In: BMC Med Imaging. 2021 May 8;21(1):79. DOI: 10.1186/s12880-021-00608-1
  • J. Kleineisel, P. Eirich, J. F. Heidenreich, H. Köstler, T. A. Bley, and T. Wech
    Real-time cardiac MRI using spiral read-outs and a Variational Network for data-driven reconstruction
    In : Proceedings of the 29th Annual Meeting of the International Society for Magnetic Resonance in Medicine, Conference Abstract 2870, May 2021.
    DOI: 10.1002/mrm.28621

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  42. Y. HUANG, T. WÜRFL, K. BREININGER, L. LIU, G. LAURITSCH, AND A. MAIER, Some investigations on robustness of deep learning in limited angle tomography, in A. F. Frangi, J. A. Schnabel, C. Davatzikos, C. Alberola-Lopez, G. Fichtinger (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, Springer International Publishing, Cham, 2018, pp. 991–1048.
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  53. P. MOESKOPS, M. A. VIERGEVER, A. M. MENDRIK, L. S. DE VRIES, M. J. BENDERS, AND I. ISGUM, Automatic segmentation of mr brain images with a convolutional neural network, IEEE transactions on medical imaging, 35 (2016), pp. 1252–61.
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