de
Philipp Vollmuth
© Tobias Schwerdt
Prof. Dr. Philipp Vollmuth

Webseite

Zugehörigkeiten
  • Klinik für Neuroradiologie
  • Medizinische Fakultät
Forschungsschwerpunkte
  • artificial intelligence
  • medical imaging
  • radiology
Philipp Vollmuth is a physician-scientist and Else Kröner Fresenius Professor (W3) for AI in Medical Imaging at the University of Bonn. He leads the Division of Computational Radiology & Clinical AI at the University Hospital Bonn and holds a secondary appointment at the Division of Medical Image Computing at the German Cancer Research Center (DKFZ) in Heidelberg. Prof. Vollmuth heads a multidisciplinary research team focused on developing and clinically translating cutting-edge AI and big data analytics in radiology. He plays a key role in several national and international research initiatives, including the DFG Priority Program "Next Generation of Biomedical Imaging" (SPP 2177) or within the European Organization for Research and Treatment of Cancer (EORTC). His research has been recognized with numerous prizes, including the Life Sciences Bridge Award from the Aventis Foundation, the ESNR Scientific Award or the Gerhard Domagk Prize for Cancer Research.
Ausgewählte Publikationen

1. Rastogi A, Brugnara G, Foltyn-Dumitru M, Mahmutoglu MA, Preetha CJ, Kobler E, Pflüger I, Schell M, Deike-Hofmann K, Kessler T, van den Bent MJ, Idbaih A, Platten M, Brandes AA, Nabors B, Stupp R, Bernhardt D, Debus J, Abdollahi A, Gorlia T, Tonn JC, Weller M, Maier-Hein KH, Radbruch A, Wick W, Bendszus M, Meredig H, Kurz FT, Vollmuth P. Deep-learning-based reconstruction of undersampled MRI to reduce scan times: a multicentre, retrospective, cohort study. Lancet Oncol. 2024 Mar;25(3):400-410.

2. Brugnara G, Baumgartner M, Scholze ED, Deike-Hofmann K, Kades K, Scherer J, Denner S, Meredig H, Rastogi A, Mahmutoglu MA, Ulfert C, Neuberger U, Schönenberger S, Schlamp K, Bendella Z, Pinetz T, Schmeel C, Wick W, Ringleb PA, Floca R, Möhlenbruch M, Radbruch A, Bendszus M, Maier-Hein K, Vollmuth P. Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic stroke. Nat Commun. 2023 Aug 15;14(1):4938.

3. Jayachandran Preetha C, Meredig H, Brugnara G, Mahmutoglu MA, Foltyn M, Isensee F, Kessler T, Pflüger I, Schell M, Neuberger U, Petersen J, Wick A, Heiland S, Debus J, Platten M, Idbaih A, Brandes AA, Winkler F, van den Bent MJ, Nabors B, Stupp R, Maier-Hein KH, Gorlia T, Tonn JC, Weller M, Wick W, Bendszus M, Vollmuth P. Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study. Lancet Digit Health. 2021 Dec;3(12):e784-e794.

Philipp Vollmuth
© Tobias Schwerdt
Prof. Dr. Philipp Vollmuth

Webseite

-