• Arbeitsgruppenleiter:in: Prof. Dr. Marc Brockmann / Prof. Dr. Ahmed Othman

• Forschungsschwerpunkte:
  
  Deep-Learning und KI in der Bildgebung
  Evaluation der Bildgebung am UHR-CT
  Etablierung neuer Sequenzen am MR
  Untersuchung therapeutischer Ansätze des zerebralen Vasospasmus Kleintierbildgebung

• Fünf wichtigste Publikationen:
  
  Altmann S. et al., Ultrafast Brain MRI Protocol at 1.5 T Using Deep Learning and Multi-shot EPI. Acad Radiol. 2023. doi: 10.1016/j.acra.2023.04.019. Epub ahead of print. PMID: 37211480.
  
  Almansour H. et al., Deep Learning Reconstruction for Accelerated Spine MRI: Prospective Analysis of Interchangeability. Radiology. 2023. doi: 10.1148/radiol.212922. Epub 2022 Nov 1. PMID: 36318032.
  
  Kramer A. et al., Continuous Intraarterial Nimodipine Infusion for the Treatment of Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage: A Retrospective, Single-Center Cohort Trial. Front Neurol. 2022. doi: 10.3389/fneur.2022.829938. PMID: 35370871; PMCID: PMC8964957.
  
  Weyer V. et al. Influence of neurovascular anatomy on perforation site in different mouse strains using the filament perforation model for induction of subarachnoid hemorrhage. PLoS One. doi: 10.1371/journal.pone.0263983. PMID: 36227879; PMCID: PMC9560502.
  
  Jabas A. et al., Single-Energy Metal Artifact Reduction (SEMAR) in Ultra-High-Resolution CT Angiography of Patients with Intracranial Implants. Diagnostics. 2023. doi: 10.3390/diagnostics13040620. PMID: 36832109; PMCID: PMC9955916.

• Ansprechpartner:in:
  
  Prof. Dr. Ahmed Othman