Heidelberg University
Medical Faculty Mannheim
University Hospital Mannheim
Genauere MRT-Auswertungen für MS-Patienten durch Künstliche Intelligenz
Modellprojekt mit CKM Beteiligung im Rahmen des Innovationswettbewerbs "KI für KMU" soll die Behandlung von MS-Patienten verbessern more
CKM receives DFG funding for Project "Prediktion von Therapieansprechen und Outcome beim lokal fortgeschrittenen Rektum-Karzinom mittels Radiomics und Deep Learning: eine beispielhafte Anwendung für eine allgemein verwendbare, Deep Learning basierte Prozessierungs-Pipeline für die Bild-Klassifikation" read more.
Alena-Kathrin Schnurr presented on our research on AI in medical imaging @ Research Plus forum
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Collaborate Research Projects

Medical Imaging (MRI, CT, X-Ray) and Image Analysis

Group Leader: Prof. Dr. Ing. Frank G. Zöllner

Research Profile

The group performs research on new methods  of image formation in MRI, Computer Tomography (CT) and X-Ray imaging, especially  in physiological  / functional imaging of the human body as well in preclinical projects. Furthermore, we research on methods to automatically analyse the acquired data by means of medical image processing and pattern recognition using machine learning techniques to quantify the measured physiological parameters.

The group is involved in several projects:

Group members


Recent Publications

  • A. Adlung, N. Paschke, A. Golla, D. Bauer, S. Mohamed, M. Samartzi, M. Fatar, E. Neumaier-Probst, F. Zöllner and L. Schad.
    23Na MRI in ischemic stroke: acquisition time reduction using CNN postprocessing.
    NMR Biomed, , p.in Press 2021.
  • A. de Boer, G. Villa, O. Bane, M. Bock, E. Cox, I. Dekkers, P. Eckerbom, M. Fernández-Seara, S. Francis, B. Haddock, M. Hall, P. Barrientos, I. Hermann, P. Hockings, H. Lamb, C. Laustsen, R. Lim, D. Morris, S. Ringgaard, S. Serai, K. Sharma, S. Sourbron, Y. Takehara, A. Wentland, M. Wolf, F. Zöllner, F. Nery and A. Caroli.
    Consensus-based technical recommendations for clinical translation of renal phase contrast MRI.
    J Magn Reson Imaging, , p.in Press 2021.
  • D. Hausmann, D. Kreul, M. Klarhöfer, D. Nickel, R. Grimm, B. Kiefer, P. Riffel, U. Attenberger, F. Zöllner and R. Kubik-Huch.
    Morphological and functional assessment of the uterus: “one-stop shop imaging” using a compressed-sensing accelerated, free-breathing T1-VIBE sequence.
    Acta Radiol, , p.in Press 2021.
  • I. Hermann, E. Martínez-Heras, B. Rieger, R. Schmidt, A. Schnurr, J. Hong, W. Lee, W. Yu-Te, M. Nagetegaal, E. Solana, S. Llufriu, A. Gass, L. Schad, S. Weingärtner and F. Zöllner.
    Accelerated white matter lesion analysis based on simultaneous T1 and T2* quantification using Magnetic Resonance Fingerprinting and Deep Learning.
    Magn Reson Med, , p.in Press 2021.
  • C. Tönnes, S. Janssen, A. Schnurr, T. Uhrig, K. Chung, L. Schad and F. Zöllner.
    Deterministic Arterial Input Function selection in DCE-MRI for automation of quantitativeperfusion calculation of colorectal cancer.
    Magn. Reson. Imaging, 75, pp.116-123 2021.
The group receives funding from:

Contact: Dr. Frank Zöllner last modified: 12.10.2020
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