3 papers
cs.CV2026
Low performing pixel correction in computed tomography with unrolled network and synthetic data training
Hongxu Yang, Levente Lippenszky, Edina Timko +2
Low performance pixels (LPP) in Computed Tomography (CT) detectors would lead to ring and streak artifacts in the reconstructed images, making them clinically unusable. In recent y…
cs.CV2026
Text controllable PET denoising
Xuehua Ye, Hongxu Yang, Adam J. Schwarz
Positron Emission Tomography (PET) imaging is a vital tool in medical diagnostics, offering detailed insights into molecular processes within the human body. However, PET images of…
cs.CV2025
SynBT: High-quality Tumor Synthesis for Breast Tumor Segmentation by 3D Diffusion Model
Hongxu Yang, Edina Timko, Levente Lippenszky +2
Synthetic tumors in medical images offer controllable characteristics that facilitate the training of machine learning models, leading to an improved segmentation performance. Howe…