48 citations · 61 across the 2 of their papers we have counts for
2 papers
eess.IV2023★ 13 cited
Optimizing Convolutional Neural Networks for Chronic Obstructive Pulmonary Disease Detection in Clinical Computed Tomography Imaging
Tina Dorosti, Manuel Schultheiss, Felix Hofmann +7
We aim to optimize the binary detection of Chronic Obstructive Pulmonary Disease (COPD) based on emphysema presence in the lung with convolutional neural networks (CNN) by explorin…
eess.IV2022★ 48 cited
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 +3
Deep learning based solutions are being succesfully implemented for a wide variety of applications. Most notably, clinical use-cases have gained an increased interest and have been…