Foto von Johannes Thalhammer

M.Sc. Johannes Thalhammer

  • X-ray imaging
  • Machine learning
  • AI based artifact reduction in sparse-view CT
  • AI based noise reduction in low dose CT

  • 3
    Schaff, Florian; Jud, Christoph; Dierolf, Martin; Günther, Benedikt; Achterhold, Klaus; Gleich, Bernhard; Sauter, Andreas; Woertler, Klaus; Thalhammer, Johannes; Meurer, Felix; Neumann, Jan; Pfeiffer, Franz; Pfeiffer, Daniela: Feasibility of Dark-Field Radiography to Enhance Detection of Nondisplaced Fractures. Radiology 311 (2), 2024 mehr… BibTeX Volltext ( DOI )
  • 2
    Thalhammer, Johannes; Schultheiß, Manuel; Dorosti, Tina; Lasser, Tobias; Pfeiffer, Franz; Pfeiffer, Daniela; Schaff, Florian: Improving Automated Hemorrhage Detection in Sparse-view CT via U-Net-based Artifact Reduction. Radiology: Artificial Intelligence, 2024 mehr… BibTeX Volltext ( DOI )
  • 1
    Ries, Annika; Dorosti, Tina; Thalhammer, Johannes; Sasse, Daniel; Sauter, Andreas; Meurer, Felix; Benne, Ashley; Lasser, Tobias; Pfeiffer, Franz; Schaff, Florian; Pfeiffer, Daniela: Improving image quality of sparse-view lung tumor CT images with U-Net. European Radiology Experimental 8 (1), 2024 mehr… BibTeX Volltext ( DOI )

ECR 03.2023
Vienna, Austria        
"Improving Hemorrhage Detection in Sparse-view CTs via Deep Learning" Oral presentation