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eess.IV2022
Simulation-Driven Training of Vision Transformers Enabling Metal Segmentation in X-Ray Images
Fuxin Fan, Ludwig Ritschl, Marcel Beister +5
In several image acquisition and processing steps of X-ray radiography, knowledge of the existence of metal implants and their exact position is highly beneficial (e.g. dose regula…
eess.IV2019
Deep Learning-based Denoising of Mammographic Images using Physics-driven Data Augmentation
Dominik Eckert, Sulaiman Vesal, Ludwig Ritschl +2
Mammography is using low-energy X-rays to screen the human breast and is utilized by radiologists to detect breast cancer. Typically radiologists require a mammogram with impeccabl…