48 citations · 53 across the 3 of their papers we have counts for
3 papers
Transformer-based interpretable multi-modal data fusion for skin lesion classification
Theodor Cheslerean-Boghiu, Melia-Evelina Fleischmann, Theresa Willem +1
A lot of deep learning (DL) research these days is mainly focused on improving quantitative metrics regardless of other factors. In human-centered applications, like skin lesion cl…
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…
Task-specific Performance Prediction and Acquisition Optimization for Anisotropic X-ray Dark-field Tomography
Theodor Cheslerean-Boghiu, Franz Pfeiffer, Tobias Lasser
Anisotropic X-ray Dark-field Tomography (AXDT) is a recently developed imaging modality that enables the visualization of oriented microstructures using lab-based X-ray grating int…