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  1. Article

    Open Access

    Atri-U: assisted image analysis in routine cardiovascular magnetic resonance volumetry of the left atrium

    Artificial intelligence can assist in cardiac image interpretation. Here, we achieved a substantial reduction in time required to read a cardiovascular magnetic resonance (CMR) study to estimate left atrial vo...

    Constantin Anastasopoulos, Shan Yang in Journal of Cardiovascular Magnetic Resonan… (2021)

  2. Article

    Open Access

    AI-based detection and classification of distal radius fractures using low-effort data labeling: evaluation of applicability and effect of training set size

    To evaluate the performance of a deep convolutional neural network (DCNN) in detecting and classifying distal radius fractures, metal, and cast on radiographs using labels based on radiology reports. The secon...

    Patrick Tobler, Joshy Cyriac, Balazs K. Kovacs, Verena Hofmann in European Radiology (2021)

  3. Article

    Open Access

    Revealing the most common reporting errors through data mining of the report proofreading process

    To investigate the most common errors in residents’ preliminary reports, if structured reporting impacts error types and frequencies, and to identify possible implications for resident education and patient sa...

    Jan Vosshenrich, Ivan Nesic, Joshy Cyriac, Daniel T. Boll in European Radiology (2021)

  4. No Access

    Article

    Quantitative enhancement thresholds and machine learning algorithms for the evaluation of renal lesions using single-phase split-filter dual-energy CT

    To establish thresholds for contrast enhancement-based attenuation (CM) and iodine concentration (IOD) for the quantitative evaluation of enhancement in renal lesions on single-phase split-filter dual-energy C...

    Markus M. Obmann, Aurelio Cosentino, Joshy Cyriac, Verena Hofmann in Abdominal Radiology (2020)