Determination of <scp>CD43</scp> and <scp>CD200</scp> surface expression improves accuracy of B‐cell lymphoma immunophenotypingJoerg Hoffmann, Cornelia Brendel, Marissa Rother et al.|Cytometry Part B Clinical Cytometry|2020Cited by 29
Identification of critical hemodilution by artificial intelligence in bone marrow assessed for minimal residual disease analysis in acute myeloid leukemia: The Cinderella methodJoerg Hoffmann, Cornelia Brendel, Michael C. Thrun et al.|Cytometry Part A|2022Cited by 17
Prediction of Clinical Outcomes with Explainable Artificial Intelligence in Patients with Chronic Lymphocytic LeukemiaJoerg Hoffmann, Cornelia Brendel, Semil Eminovic et al.|Current Oncology|2023Cited by 13
An Explainable AI System for the Diagnosis of High-Dimensional Biomedical DataAlfred Ultsch, Michael C. Thrun, Uta Oelschlägel et al.|BioMedInformatics|2024Cited by 10
Flow cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methodsMichael C. Thrun, Alfred Ultsch, Jörg Hoffmann et al.|Data in Brief|2022Cited by 10