Translational Oncologic Imaging
The goal of our research is to improve individual patient diagnostics and therapy response monitoring in oncology. We employ laboratory model systems and advanced computational methods to develop and validate imaging-derived biomarkers.
Our preclinical work comprises the characterization of advanced tumor models including genetically engineered mouse models and PDX, the development of novel multi-modal imaging techniques (e.g. Magnetic Resonance Spectroscopic Imaging, Phase Contrast Computed Tomography) and the integrated anaylsis of imaging and morphomolecular data.
Our clinical work includes the curation of large, multi-institutional image and clinical data repositiores, the integrated modelling of image data and metadata for the improved non-invasive characterization of tumor heterogeneity and the prediction of individual patient therapy response and survival
MD
Prof. Dr. Rickmer Braren
PD Dr. Georgios Kaissis, MHBA
PD Dr. Fabian Lohöfer
Sebastian Ziegelmayer
Philip Gouder
Dr. Benedikt Feuerecker
Jessica Ritter
Dr. Joshua Gawlitza
Dr. Stefan Reischl
MD Candidate
Friederike Jungmann
Sophie Schlürmann
Florian Lippenberger
Hannah Havrda
Tristan Lemke
Philip Raffler
Eva Jung
Matthias Zierhut
PhD Candidate
Tamara Müller
Alina Dima
Leo Feiner
Alex Ziller
Dimitrii Usynin
Research Assistant
Caroline Müller
Moritz Knolle
PostDoc
Dr. Irina Heid
Research Assistant
Iryna Skuratovska
Michael Lorenz-Baggio
MD/Vet Candidate
Julia Werner
Florian Englert
Moritz Mayer
Alice Ewert
Lukas Kritzner
Matthias Schillmaier
Daniel Havel
Dominik Keim
Lia Gebrekidan
External Collaborators
Department of Computing, Imperial College London
Departments of Radiology and West German Cancer Centre, University of Essen
Department of Radiology, LMU
Department of Radiology, Charité Berlin
German Cancer Consortium and German Cancer Research Centre
NYU Langone Medical Centre
Harvard Medical Centre
Internal Collaborators
Artificial Intelligence Group
Body Magnetic Resonance Imaging Group
Department of Surgery, TUM
Department of Internal Medicine II, TUM
Department of Immunology, TUM
Department of Neuroradiology, TUM
Department of Paediatric Radiology, TUM
German Research Foundation (DFG) SFB 824, Imaging for the selection, monitoring and individualization of cancer therapies
German Research Foundation (DFG), SPP 2177 Radiomics: Next Generation of Biomedical Imaging
German Cancer Consortium (DKTK) UPGRADE Programme
TUM Clinician Scientist Programme
TUM Foundation (TUM-Stiftung)
Bavarian Foundation for Research (Bayerische Forschungsstiftung) and Siemens AG
Early Detection and Classification of COVID-19 Pneumonia using Computed Tomography and Artificial Intelligence
TUM/Imperial College Joint Academy of Doctoral Studies
