Prof. Thomas Martin Deserno
Professor of Medical Informatics at Peter L. Reichertz Institut für Medizinische Informatik
SPIE Involvement:
Conference Program Committee | Editorial Board Member: Journal of Medical Imaging | Author | Editor | Instructor
Area of Expertise:
Medical Image Processing , Computer-aided Diagnosis , Content-based Image Retrieval , Image Data Mining , DICOM , Workflow Interfacing
Profile Summary

Thomas M. Deserno (born as Lehmann) received the Diplom (Masters degree) in electrical engineering (School of Engineering), the PhD (summa cum laude) in computer science (School of Science), and the habilitation in medical informatics (School of Medicine) from the Aachen University of Technology (RWTH), Aachen, Germany, in 1992, 1998, and 2004, respectively. Since 2007, he is full professor of medical informatics.

In 1992, he was research scientist at the Faculty of Electrical Engineering, RWTH Aachen. Since 1992 he has been with the Department of Medical Informatics, Medical Faculty, RWTH Aachen, where he currently heads the Division of Medical Image Processing. He co-authored a textbook on image processing for the medical sciences (Springer-Verlag, Berlin, Germany, 1997) and edited the Handbook of Medical Informatics (Hanser Verlag, Munich, Germany, 2005). His research interests include discrete realizations of continuous image transforms, medical image processing applied to quantitative measurements for computer-assisted diagnoses, and content-based image retrieval from large medical databases.

Dr. Deserno is Chairman of the working group Medical Image Processing within the German Society of Medical Informatics, Biometry and Epidemiology (GMDS) and served as Chairman of the IEEE Joint Chapter Engineering in Medicine and Biology (IEEE German Section). He is senior member of the Institute of Electrical and Electronics Engineers (IEEE), and member of the International Association of Dentomaxillofacial Radiology (IADMFR), and the Society of Photo-Optical Instrumentations Engineering (SPIE), where he is member of the Program Committee of the annual symposium on Medical Imaging (CAD Track). In 2015, he became Associated Editor of SPIE Journal of Medical Imaging.
Publications (87)

Proceedings Article | 2 April 2024 Presentation + Paper
Proceedings Volume 12931, 129310U (2024)
KEYWORDS: Breast cancer, Cancer detection, Image fusion, Infrared imaging, Feature extraction, Infrared radiation, Feature fusion, Thermography, Image segmentation

Proceedings Article | 2 April 2024 Presentation + Paper
Proceedings Volume 12931, 129310Z (2024)
KEYWORDS: Lung cancer, Feature extraction, Tumors, Radiomics, Tissues, Histopathology, Machine learning, Lung

Proceedings Article | 2 April 2024 Presentation + Paper
Proceedings Volume 12931, 1293113 (2024)
KEYWORDS: Electrocardiography, Virtual reality, Heart, 3D modeling, Visualization

Proceedings Article | 10 April 2023 Poster + Paper
Proceedings Volume 12469, 124690V (2023)
KEYWORDS: Video, Pose estimation, Action recognition, Histograms, Visual process modeling, Feature extraction, Motion models, 3D modeling, RGB color model, Data modeling

Proceedings Article | 10 April 2023 Presentation + Paper
Proceedings Volume 12469, 124690E (2023)
KEYWORDS: Windows, Electrocardiography, Pose estimation, Reliability, Neural networks, Chemical vapor deposition, Electrodes, Data modeling, Sensors, Heart

Showing 5 of 87 publications
Proceedings Volume Editor (3)

Conference Committee Involvement (29)
Imaging Informatics for Healthcare, Research, and Applications
16 February 2025 | San Diego, California, United States
Computer-Aided Diagnosis
16 February 2025 | San Diego, California, United States
Imaging Informatics for Healthcare, Research, and Applications
19 February 2024 | San Diego, California, United States
Computer-Aided Diagnosis
19 February 2024 | San Diego, California, United States
Computer-Aided Diagnosis
20 February 2023 | San Diego, California, United States
Showing 5 of 29 Conference Committees
Course Instructor
SC086: Fundamentals of Medical Image Processing and Analysis
This course gives an overview of medical image formation, enhancement, analysis, visualization, and communication with many examples from medical applications. It starts with a brief introduction to medical imaging modalities and acquisition systems. Basic approaches to display one-, two-, and three-dimensional (3D) biomedical data are introduced. As a focus, image enhancement techniques, segmentation, texture analysis and their application in diagnostic imaging will be discussed. To complete this overview, storage, retrieval, and communication of medical images are also introduced. In addition to this theoretical background, a 45 min practical demonstration with ImageJ is given. ImageJ is a Java-based platform for medical image enhancement and visualization. It is developed by the National Institutes of Health, USA, open source and freely available in the public domain. For this course, ImageJ is appropriately configured with useful plug-ins (e.g. DICOM import, 3D rendering) and distributed on CD-ROM. Attendees are welcome to perform on their own laptop computers.
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