Manuel Schultheiß

According to our database, Manuel Schultheiß authored at least 4 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

WNet: A Data-Driven Dual-Domain Denoising Model for Sparse-View Computed Tomography With a Trainable Reconstruction Layer.

Theodor Cheslerean-Boghiu, Felix C. Hofmann, Manuel Schultheiß, Franz Pfeiffer, Daniela Pfeiffer, Tobias Lasser

IEEE Trans. Computational Imaging, 2023

Improving Automated Hemorrhage Detection in Sparse-view Computed Tomography via Deep Convolutional Neural Network based Artifact Reduction.

Johannes Thalhammer, Manuel Schultheiss, Tina Dorosti, Tobias Lasser, Franz Pfeiffer, Daniela Pfeiffer, Florian Schaff

CoRR, 2023

Optimizing Convolutional Neural Networks for Chronic Obstructive Pulmonary Disease Detection in Clinical Computed Tomography Imaging.

Tina Dorosti, Manuel Schultheiss, Felix C. Hofmann, Luisa Kirchner, Theresa Urban, Franz Pfeiffer, Johannes Thalhammer, Florian Schaff, Tobias Lasser, Daniela Pfeiffer

CoRR, 2023

2021

Per-Pixel Lung Thickness and Lung Capacity Estimation on Chest X-Rays using Convolutional Neural Networks.

Manuel Schultheiss, Philipp Schmette, Thorsten Sellerer, Rafael Schick, Kirsten Alexandra Taphorn, Korbinian Mechlem, Lorenz Birnbacher, Bernhard Renger, Marcus R. Makowski, Franz Pfeiffer, Daniela Pfeiffer

CoRR, 2021