Siegfried Hänselmann

Classification of fluorescent R-Band metaphase chromosomes using a convolutional neural network is precise and fast in generating karyograms of hematologic neoplastic cells

Beate Vajen, Siegfried Hänselmann, Friederike Lutterloh et al. · Cancer Genetics · 2021 · 23 citations · Full text

Life Sciences, Genetics, Hematology +17

Machine-assisted interpretation of auramine stains substantially increases through-put and sensitivity of microscopic tuberculosis diagnosis

Lynn L. Horvath, Siegfried Hänselmann, H. Mannsperger et al. · Tuberculosis · 2020 · 21 citations · Full text

Veterinary Medicine, Infectious Diseases, Microbiology +17

[Information and participation interests of patients with depression in clinical decision making in primary care].

Andreas Loh, Nina Kremer, Nadja Giersdorf et al. · PubMed · 2004 · 19 citations

Medicine, Psychiatry, Clinical Decision Support +11

Performance evaluation of machine-assisted interpretation of Gram stains from positive blood cultures

Christian Walter, Christoph Weissert, Eve Gizewski et al. · Journal of Clinical Microbiology · 2024 · 19 citations · Full text

Life Sciences, Infectious Diseases, Microbiology +17

Artificial Intelligence Substantially Supports Chromosome Banding Analysis Maintaining Its Strengths in Hematologic Diagnostics Even in the Era of Newer Technologies

Claudia Haferlach, Siegfried Hänselmann, Wencke Walter et al. · Blood · 2020 · 13 citations

Life Sciences, Genetics, Hematology +14