Prof. Dr. med. Thomas Ganslandt

Professur für Medical Data Science Lehrstuhl für Medizinische Informatik Medizinisches Zentrum für Informations- und Kommunikationstechnik (Medizinisches IK-Zentrum, MIK)

Deep learning frameworks for rapid gram stain image data interpretation: Protocol for a retrospective data analysis (2020) Kim H, Ganslandt T, Miethke T, Neumaier M, Kittel M Journal article The Status Quo of Rare Diseases Centres for the Development of a Clinical Decision Support System - A Cross-Sectional Study (2020) Schaaf J, Sedlmayr M, Prokosch HU, Ganslandt T, Schade-Brittinger C, von Wagner M, Kadioglu D, et al. Book chapter / Article in edited volumes Applied Practice and Possible Leverage Points for Information Technology Support for Patient Screening in Clinical Trials: Qualitative Study (2020) Becker L, Ganslandt T, Prokosch HU, Newe A Journal article, Original article Towards a comprehensive and interoperable representation of consent-based data usage permissions in the German medical informatics initiative (2020) Bild R, Bialke M, Buckow K, Ganslandt T, Ihrig K, Jahns R, Merzweiler A, et al. Journal article Digital Follow-Up and the Perspective of Patient-Centered Care in Oncology: What's the PROblem? (2020) Giordano FA, Welzel G, Siefert V, Jahnke L, Ganslandt T, Wenz F, Grosu AL, et al. Journal article, Review article Prospective trial on telemonitoring of geriatric cancer patients using handheld devices (2020) Buergy D, Siefert V, Neumaier C, Ganslandt T, Sperk E, Blessing M, Hesser J, et al. Journal article Data mining of reference intervals for coagulation screening tests in adult patients (2019) Zierk J, Ganslandt T, Rauh M, Metzler M, Strasser E Journal article Feasibility analysis of conducting observational studies with the electronic health record (2019) von Lucadou M, Ganslandt T, Prokosch HU, Toddenroth D Journal article Moving Towards an EHR Data Quality Framework: The MIRACUM Approach (2019) Kapsner LA, Kampf M, Seuchter SA, Kamdje-Wabo G, Gradinger T, Ganslandt T, Mate S, et al. Book chapter / Article in edited volumes Finding the needle in the hay stack: An open architecture to support diagnosis of undiagnosed patients (2019) Schaaf J, Boeker M, Ganslandt T, Haverkamp C, Hermann T, Kadioglu D, Prokosch HU, et al. Conference contribution