IMI – Institut für Medizinische Informatik, Uniklinik RWTH Aachen

Research portfolio

  • Computer Aided Diagnosis
  • Mobile Health
  • Medical Augmented Reality
  • Nano-to-macro Image Analysis
  • Imaging Biomarkers & Clinical Trials
  • Medical Computer Vision

Key personnel

  • Prof. Dr. Thomas Deserno, geb. Lehmann
  • Dr. Cord Spreckelsen
  • Dr. Stephan M. Jonas
  • Dr. Julia Epischina Engrácia de Oliveira
  • Dr. András Keszei
  • Dipl.-Inform Daniel Haak
  • Dipl.-Inf. Ekaterina Sirazitdinova

Selected publications

  1. Haak D, Page CE, Reinartz S, Krüger T, Deserno TM DICOM for clinical research: PACS-integrated electronic data capture in multi-center trials. J Digit Imaging 2015; 28: epub ehead of print (PDF).
  2. Jonas SM, Deserno TM, Buhimschi CS, Makin J, Choma MA, Buhimschi IA. Smartphone-based diagnostic for preeclampsia: an mHealth solution for administering the Congo Red Dot (CRD) test in settings with limited resources. J Am Med Inform Ass 2015; epub ehead of print (PDF).
  3. Sárándi I, Claßen DP, Astvatsatourov A, Pfaar O, Klimek L, Mösges R, Deserno TM. Quantitative conjunctival provocation test for controlled clinical trials. Methods Inf Med 2014; 53(4): 238-44 (PDF).
  4. Deserno TM, Haak D, Brandenburg V, Deserno V, Classen C, Specht P. Integrated image data and medical record management for rare disease registries. A general framework and its instantiation to the German calciphylaxis registry. J Digit Imaging 2014; 27(3): 702-13 (PDF).
  5. Haak D, Samsel C, Gehlen J, Jonas S, Deserno TM. Simplifying electronic data capture in clinical trials. Workflow embedded image and biosignal file integration and analysis via web services. J Digit Imaging 2014; 27(5): 571-80 (PDF).


Prof. Dr. Thomas M. Deserno
Institut für Medizinische Informatik
Uniklinik RWTH Aachen
Pauwelsstr. 30
52074 Aachen, Germany