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  1. Article

    Open Access

    Evaluating ChatGPT-4V in chest CT diagnostics: a critical image interpretation assessment

    To assess the diagnostic accuracy of ChatGPT-4V in interpreting a set of four chest CT slices for each case of COVID-19, non-small cell lung cancer (NSCLC), and control cases, thereby evaluating its potential ...

    Reza Dehdab, Andreas Brendlin, Sebastian Werner in Japanese Journal of Radiology (2024)

  2. Article

    Open Access

    Improving assessment of lesions in longitudinal CT scans: a bi-institutional reader study on an AI-assisted registration and volumetric segmentation workflow

    AI-assisted techniques for lesion registration and segmentation have the potential to make CT-based tumor follow-up assessment faster and less reader-dependent. However, empirical evidence on the advantages of...

    Alessa Hering, Max Westphal, Annika Gerken in International Journal of Computer Assisted… (2024)

  3. Article

    Open Access

    Application of deep learning-based super-resolution to T1-weighted postcontrast gradient echo imaging of the chest

    A deep learning-based super-resolution for postcontrast volume-interpolated breath-hold examination (VIBE) of the chest was investigated in this study. Aim was to improve image quality, noise, artifacts and di...

    Simon Maennlin, Daniel Wessling, Judith Herrmann, Haidara Almansour in La radiologia medica (2023)

  4. Article

    Open Access

    Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocol

    The aim of this study was to evaluate the image quality and diagnostic performance of a deep-learning (DL)–accelerated two–dimensional (2D) turbo spin echo (TSE) MRI of the knee at 1.5 and 3 T in clinical rout...

    Judith Herrmann, Gabriel Keller, Sebastian Gassenmaier in European Radiology (2022)