- De
- En
Jannis Hagenah is Professor of Digital and Robotic Surgery and heads the Center for Digital Surgery at the UMG. He is also an associated scientist at Fraunhofer IMTE, Lübeck. After studying medical engineering at the University of Lübeck and Xi’an Jiaotong University (PR China), he completed his doctorate at the Institute of Robotics and Cognitive Systems, University of Lübeck, in the field of AI-based planning for the personalization of cardiac surgery. He then conducted postdoctoral research at the Computational Health Informatics Lab at the University of Oxford (UK) on the analysis of multimodal clinical data and on continuously learning AI systems. Prior to his appointment in Göttingen, he established the Surgical Data Science research area at Fraunhofer IMTE. Jannis Hagenah is speaker of the Medical Robotics Committee of the German Society for Biomedical Engineering (DGBMT), member of the board of the Medical Imaging with Deep Learning Foundation (MIDL) and treasurer of the German Chapter of the IEEE Engineering Medicine and Biology Society (IEEE EMBS).
Prof. Dr. habil. Claire Chalopin has been Professor of Data-Driven Imaging in Medicine at HAWK Hildesheim/Holzminden/Göttingen since March 2023. Her focus is on image-based assistance systems, particularly for non-invasive procedures such as infrared thermography and hyperspectral imaging. In collaboration with industry and clinics, it develops imaging devices for minimally invasive procedures and uses AI-based analysis methods to support doctors. Clinical applications include tissue perfusion and detection of risk and target structures.
I am a PhD Student at the lab of Alexander Ecker. In my research, I focus on understanding how the visual system, particularly the retina, processes information. My work explores how the retina transforms light into neural signals and transmits this information to the brain. By using advanced deep learning techniques, I develop models of the retina that provide insights into the earliest stages of visual processing. Through these models, we aim to gain a deeper understanding of how vision begins at the retinal level.
I am a master student in the research group of Constantin Pape. In my work, I focus on the development of deep learning methods for image processing on microscopy images, especially the segmentation of single cells and organelles. Since current models can only cope with this task under high hardware requirements, I focus on the development of efficient approaches that transfer existing models to the domain of microscopy with low computational effort.
Software architect by profession, AI pioneer by passion. With a diverse background as a lead developer, architect and DevOps specialist at iteratec, he has been fully dedicated to artificial intelligence for the past two years. Guido has witnessed first-hand the evolution from simple code completion to full application generation through a single input command. Today he is here to guide you through the world of AI-assisted development. You can look forward to practical insights, exciting field reports and a vision of the future in which humans and AI create extraordinary software together.
Originally from the field of robotics, Johanna has been working as a software engineer at iteratec for 3 years. In her projects, she focuses on creating synergies between machine learning and software development. One of her focus topics is Generative AI with the aim of optimizing human-machine interactions.
Software developer for 10 years with a focus on application development. Still relatively new to the speaking business, but have already hosted a meetup on AI code tools, given software architecture training for customers and conducted internal training in my company on various topics.
Expert in AI, coding, architecture, software craftsmanship and agile development with decades of professional experience. Well-known founder and leader of user groups (DOAG, JUG NBG, iJUG). Organizer of conferences and events on software development to advance the community.