Jana Hutter studied Technomathematics at FAU Erlangen-Nürnberg and Applied Mathematics at Université Rennes I, France following the Franco-German double degree programme of the DFH, receiving her BSc, MSc, and MRes degrees in 2009, 2010 and 2011 respectively. She obtained her Dr.-Ing. from FAU Erlangen-Nürnberg in 2014 with a thesis on accelerated morphological and functional magnetic resonance angiography in close collaboration with Siemens Healthineers.
Following her doctorate, she worked as a Research Associate on the ERC-funded developing Human Connectome Project at King’s College London, UK in the field of perinatal and fetal MRI. Receiving a Sir Henry Wellcome Fellowship in 2016, a UK Research & Innovation (UKRI) Future Leaders Fellowship in 2020 and a senior lectureship at KCL in 2021 allowed her to sharpen her research interests further to AI-guided imaging and bespoke real-time analysis methods. She was appointed Professor of Smart Imaging and Data Profiling at FAU as part of the High Tech Agenda Bavaria, founding a research group at the institute for diagnostic radiology.
She was awarded a DFG Heisenberg Professorship on “Self-driving MRI” in 2023 and an ERC Starting Grant “EARTHWORM” in 2024 focusing on AI-guided MRI of moving organs.
Her research to date lies at the intersection of MRI physics, computational imaging, motion-resolved and real-time MRI, and machine learning, with a strong focus on early human development, women’s health and abdominal imaging. She combines physics-based modeling with data-driven methods to enable autonomous, quantitative, and robust imaging in challenging motion scenarios.
She is active in the international medical imaging community, serving on the annual programme committee for ISMRM 2024-2027, MICCAI Area Chair and Editorial Board Member of Magnetic Resonance in Medicine among others. She has led and co-organized numerous international workshops, challenges, and study groups, for example the PIPPI workshop on perinatal imaging at MICCAI 2017-2026, the CDMRI workshop and associated MUDI/SuperMUDI challenge in 2019-2020 and recently as a grounding member the CAPI workshop in 2025, focusing on medical image computing and intervention for female reproductive health.
Her work has received multiple distinctions, including the Staedtler Foundation PhD Prize, the ISMRM Junior Fellowship and the Philips Pulse Programming Award as well as poster and presentation prizes at various international conferences and workshops. Her work has been published in over 200 conference contributions and 100 journal papers both in journals with clinical and with methodological focus such as Radiology, Hypertension, Magnetic Resonance in Medicine, Medical Image Analysis and IEEE TMI. Her current citations are available at google scholar.
