Manuel Schultheiss (Manuel Schultheiß)

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 6

Top Topics

Convolutional Neural Network

Computed Tomography

Magnetic Resonance

Top Venues

Radiology. Artificial intelligence

Communications medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Johannes Thalhammer, Manuel Schultheiss, Tina Dorosti, Tobias Lasser, Franz Pfeiffer, Daniela Pfeiffer, Florian Schaff
Improving Automated Hemorrhage Detection at Sparse-View CT via U-Net-based Artifact Reduction. Radiology. Artificial intelligence 6 (4) (2024)
Johannes Thalhammer, Manuel Schultheiss, Tina Dorosti, Tobias Lasser, Franz Pfeiffer, Daniela Pfeiffer, Florian Schaff
Improving Automated Hemorrhage Detection in Sparse-view CT via U-Net-based Artifact Reduction. Radiology. Artificial intelligence (2024)
Johannes Thalhammer, Manuel Schultheiss, Tina Dorosti, Tobias Lasser, Franz Pfeiffer, Daniela Pfeiffer, Florian Schaff
Improving Automated Hemorrhage Detection at Sparse-View CT via U-Net-based Artifact Reduction. Radiology. Artificial intelligence 6 (4) (2024)
Johannes Thalhammer, Manuel Schultheiss, Tina Dorosti, Tobias Lasser, Franz Pfeiffer, Daniela Pfeiffer, Florian Schaff
Improving Automated Hemorrhage Detection at Sparse-View CT via U-Net-based Artifact Reduction. Radiology. Artificial intelligence 6 (4) (2024)
Manuela Frank, Florian Tilman Gassert, Theresa Urban, Konstantin Willer, Wolfgang Noichl, Rafael Schick, Manuel Schultheiss, Manuel Viermetz, Bernhard Gleich, Fabio De Marco, Julia Herzen, Thomas Koehler, Klaus Jürgen Engel, Bernhard Renger, Felix G Gassert, Andreas Philipp Sauter, Alexander A Fingerle, Bernhard Haller, Marcus R Makowski, Daniela Pfeiffer, Franz Pfeiffer
Dark-field chest X-ray imaging for the assessment of COVID-19-pneumonia. Communications medicine 2 (1) (2022)
Manuel Schultheiss, Peter B Noël, Isabelle Riederer, Frank Thiele, Felix K Kopp, Bernhard Renger, Ernst J Rummeny, Franz Pfeiffer, Daniela Pfeiffer
Towards subject-level cerebral infarction classification of CT scans using convolutional networks. PloS one 15 (7) (2020)