Dr. Stefanie Demirci

"Digital innovations face various complex challenges when entering the healthcare market. At iit, we analyse the potentials and risks of these innovations."
+49 (0) 89 5108963 034

Focus of work

  • Artificial Intelligence, Big Data
  • Digital Image Processing, Computer Vision
  • Medical Technology, Telemedicine, Digital Health
  • Robotics, Carerobotics
  • Industry 4.0
  • Autonomous Mobility

Curriculum vitae

Stefanie Demirci studied computer science with a minor in medicine and a focus on image and signal processing. In the course of stays abroad and study projects, she already gained her first international and industrial research experience in the field of computer vision and image processing. After her doctorate as Dr. rer. nat, she was active in national and international academic research for eight years and has gained reputation as an internationally recognized expert in the field of computer-aided medicine and imaging procedures. Stefanie Demirci has been with VDI/VDE Innovation + Technik GmbH since 2018 and accompanies innovative research and development projects on various technologies such as artificial intelligence, autonomous mobility, 5G, robot assistance and IT security. As a digital health expert, she is also actively involved in accompanying research for federal and state ministries and conducts regional future and innovation studies.

Publications

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Demirci, Stefanie; Hempel, Iris (2023): Regulatorische Rahmenbedingungen für die KI-Grundlagenforschung in der Medizin: Eine Handreichung für F&E-Projekte der Gesundheitswirtschaft
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Nicole Wittenbrink; Kraus, Tom; Demirci, Stefanie; Straub, Sebastian; Wischmann, Steffen (2023): Leitfaden für das Qualitätsmanagement bei der Entwicklung von KI-Produkten und -Services
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Volker Wittpahl (Hrsg.); Bierau-Delpont, Frauke; Börner, Kai; Buhl, Claudia Martina; Busch, Anne; Creemers, Niklas; Demirci, Stefanie; Erckrath, Melanie; Frey, Felix P.; Hornbostel, Lorenz; Kerbusch, Jochen; Kölbel, Andrea; Korzynietz, Roman; Krabel, Stefan; Krahl Perez, Cristina; Kroushkov, Dimitar; Lehning, Lukas; Lutze, Maxie; Malchow, Jan-Ole; Martens, Martin; Moorfeld, Rainer; Müller, Marius; Ritter, Claudia; Rotter, Uwe; Schliep, Rainer; Schmidt, Anne; Schmietow, Bettina; Schweigel, Henry; Tillack, Désirée; Wangler, Leo; Wilhelm-Weidner, Arno; Wilsch, Benjamin; Wischmann, Steffen; Nicole Wittenbrink; Wolf, Stefan (2022): Resilienz. Leben – Räume – Technik
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Demirci, Stefanie; Kauffeld-Monz, Martina; Schaat, Samer (2021): Perspektiven für die Telemedizin – Voraussetzungen der Skalierung und Marktpotenzial
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Lutze, Maxie; Schaat, Samer; Demirci, Stefanie; Ritzmann, Susanne (2021): Auf dem Weg zu einer digital vernetzten Pflege. Potenziale und Herausforderungen der Telematikinfrastruktur
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Stoyanov, Danail ; Taylor, Zeike ; Balocco, Simone ; Sznitman, Raphael ; Martel, Anne ; Maier-Hein, Lena ; Duong, Luc ; Zahnd, Guillaume ; Demirci, Stefanie; Albarqouni, Shadi ; Lee, Su-Lin ; Moriconi, Stefano ; Cheplygina, Veronika ; Mateus, Diana ; Trucco, Emanuele ; Granger, Eric ; Jannin, Pierre (Hrsg.) (2016): Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis. 7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings.
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Balocco, Simone; Zuluaga, Maria ; Zahnd, Guillaume ; Lee, Su-Lin ; Demirci, Stefanie (Hrsg.) (2016): Computing and Visualization for Intravascular Imaging and Computer-Assisted Stenting.
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Albarqouni, Shadi; Baur, Christoph; Achilles, Felix; Belagiannis, Vasileios; Demirci, Stefanie; Navab, Nassir (2016): AggNet: Deep Learning from Crowds for Mitosis Detection in Breast Cancer Histology Images. In: IEEE transactions on medical imaging, Vol. 35, No. 5. S. 1313-1321.