1 citations · 1 across the 4 of their papers we have counts for
4 papers
Neighbor2Inverse: Self-Supervised Denoising for Low-Dose Region-of-Interest Phase Contrast CT
Johannes B. Thalhammer, Lorenzo D'Amico, Lucy Costello +11
Propagation-based X-ray phase-contrast imaging (PBI) enables high-contrast visualization of lung structures and holds strong medical potential. However, safe translation to the cli…
Artifact Reduction in Undersampled 3D Cone-Beam CTs using a Hybrid 2D-3D CNN Framework
Johannes Thalhammer, Tina Dorosti, Sebastian Peterhansl +3
Undersampled CT volumes minimize acquisition time and radiation exposure but introduce artifacts degrading image quality and diagnostic utility. Reducing these artifacts is critica…
Beam Geometry and Input Dimensionality: Impact on Sparse-Sampling Artifact Correction for Clinical CT with U-Nets
Tina Dorosti, Johannes Thalhammer, Sebastian Peterhansl +3
This study aims to investigate the effect of various beam geometries and dimensions of input data on the sparse-sampling streak artifact correction task with U-Nets for clinical CT…
Distributive Pre-Training of Generative Modeling Using Matrix-Product States
Sheng-Hsuan Lin, Olivier Kuijpers, Sebastian Peterhansl +1
Tensor networks have recently found applications in machine learning for both supervised learning and unsupervised learning. The most common approaches for training these models ar…