Team
Team - Applied Medical Imaging & Data Science >
apl. Prof. Dr. Holger Wenz
Oberarzt, Abt.f. Neuroradiologie, Universitätsklinikum Mannheim
Dr. Wenz is a board certified, attending radiologist at the Department of Neuroradiology, Medical Faculty Mannheim, Heidelberg University . He is the senior leader of our work group ('Arbeitsgruppe, AG'). Our lab/AG focuses on machine learning (ML) healthcare applications in the field of neuroimaging. We apply cutting edge technologies to vascular disease and brain tumors.
In the past we have done research in variety of issues regarding acute and chronic pathologies in vascular disease (e.g. Moyamoya Disease, ischaemic stroke) and trialled new technical approaches in neuroimaging.
When not working, Holger enjoys exploring the trails of the Odenwald on foot or on mountain bike. He is a swimming enthuasiast and multi-marathon runner.
Featured publications
1. Wenz H, Wenz R, Maros M, Ehrlich G, Al-Zghloul M, Groden C, Förster A. Incidence, Locations, and Longitudinal Course of Cerebral Microbleeds in European Moyamoya. Stroke. 2017 Feb;48(2):307-313; Link.2. Wenz H, Maros ME, Meyer M, Gawlitza J, Förster A, Haubenreisser H, Kurth S, Schoenberg SO, Groden C, Henzler T. Intra-individual diagnostic image quality and organ-specific-radiation dose comparison between spiral cCT with iterative image reconstruction and z-axis automated tube current modulation and sequential cCT. Eur J Radiol Open. 2016 Jul 26;3:182-90; Link.
3. Wenz H, Maros ME, Meyer M, Förster A, Haubenreisser H, Kurth S, Schoenberg SO, Flohr T, Leidecker C, Groden C, Scharf J, Henzler T. Image Quality of 3rd Generation Spiral Cranial Dual-Source CT in Combination with an Advanced Model Iterative Reconstruction Technique: A Prospective Intra-Individual Comparison Study to Standard Sequential Cranial CT Using Identical Radiation Dose. PLoS One. 2015 Aug 19;10(8); Link.
Dr. Máté E. Maros, MSc
Senior resident/Fort. Assistenzarzt, Abt.f. Neuroradiologie, Medizinische Fakultät Mannheim
Dr. Maros is a senior radiology resident at the Department of Neuroradiology. He is the machine learning specialist of our research group. Máté (Matt) holds a Master's degree in Biostatistics/Biometrie from Heidelberg University (IMBI) having specialized in machine learning approaches.
He is interested in tackling everyday challenges that radiologists face using the power of underlying patterns and math thus improving the quality of care benefitting our patients and community. He is an avid coder in R a fan of Shiny apps , Python and has experience in cloud computing using AWS. Additionally Matt also works as a statistician/statistical advisor on research projects for the whole department.
Dr. Maros (PI) and Dr. Wenz received federal funding (BMWI-ZIM) in cooperation with EMPOLIS Information Management GmBH to pursue research in developing computer assisted radiological diagnostic and reporting applications.
He is involved in the MIRACUM Consortium Project in the framework of the BMWI Medical Informatics Initiative and affiliated with the newly established Department of Biomedical Informatics, Medical Fac. Mannheim, Head: Prof. Dr. T. Ganslandt.
He cooperated with the Experimental animal research group/AG and has extensive operative/hands-on experience of murine stroke and subarachnoid hemorrhage models.
In his free time, Matt is a proud Master's swimmer and watersport-enthusiast; he can be regularly found mountain biking on the Odenwald-trails.
Chang-Gyu Cho
Junior resident/Assitenzarzt, Abt.f. Neuroradiologie, Universitätsklinikum Mannheim
Mr. Cho is a senior radiology resident at the Dept. of Neuroradiology . He curates our brain tumor data set. His projects focus on developing ML/DL methods to improve diagnostic accuracy and to provide improved molecular classification of tumors at an early stage based on multiparametric MR imaging.
Dr. Max Gebest
Senior resident/Assitenzarzt, Abt.f. Neuroradiologie, Universitätsklinikum Mannheim
Dr. Gebest is a senior radiology resident at the Dept. of Neuroradiology . He focuses on creating high-value time-series follow-up data sets of patients with neurocognitive disorders based on volumetric segmentation of MR imaging.
Tabea Gerdes
Medizinische Fakultät Mannheim der Universität Heidelberg
Ms. Gerdes is a junior doctor at Klinik für Kinder- und Jugendmedizin, Medical Faculty of Mannheim, Heidelberg University with PD Dr. Wenz as her doctoral advisor. Her doctorate research project includes developing prognostic and predictive ML models for ischemic and hemorrhagic stroke.
External Cooperation Partners >
Ralf Wenz, PhD MSc
Imperial College London, UK
He obtained his BSc (Hons) in Cellular and Molecular Biology, which he graduated as the best student of all sciences winning both the Don Nicholson Prize and the Chancellor’s Prize. Thereafter, he obtained his MSc in Immunology winning the Richard Batchelor’s prize for the best performance of all MSc Immunology students.
Ralf is currently interested in neuro-immunology with particular focus on the evolution thereof. He has obtained his Ph.D. at Department of Life Sciences, Imperial College London at the Dallman Lab.
In his spare time, Ralf is an avid reader and works towards running another marathon.
Andreas Georg Junge, BSc
Cand. Master student, Computer Engineering / Technical Informatics
Anderas is a student pursuing his Master of science (MSc) degree at the University of Heidelberg in computer engineering. He has finished his Bachelor studies at the Hochschule Mannheim in 2019 while specializing in technical informatics. Dr. Maros was his BSc thesis advisor, which focused on platform and pipe-line development to streamline radiological research (see RIPE).
Former Team Members >
Dr. Victor Saase, MSc ETH
Junior resident/Assitenzarzt, Abt.f. Neuroradiologie, Universitätsklinikum Mannheim
Victor has been a junior radiology resident at the Dept. of Neuroradiology, Mannheim and DKFZ Heidelberg. With prior degrees in Physics, Mathematics, Neuroinformatics extensive experience in Computer Science. He has the tools to quickly whip up prototypes that help him in his daily clinical work. He is pursuing his startup eatappie.