6 citations · 8 across the 3 of their papers we have counts for
3 papers
eess.IV2021★ 2 cited
Deep High-Resolution Network for Low Dose X-ray CT Denoising
Ti Bai, Dan Nguyen, Biling Wang +1
Low Dose Computed Tomography (LDCT) is clinically desirable due to the reduced radiation to patients. However, the quality of LDCT images is often sub-optimal because of the inevit…
cs.CV2020★ 6 cited
Deep Dose Plugin Towards Real-time Monte Carlo Dose Calculation Through a Deep Learning based Denoising Algorithm
Ti Bai, Biling Wang, Dan Nguyen +1
Monte Carlo (MC) simulation is considered the gold standard method for radiotherapy dose calculation. However, achieving high precision requires a large number of simulation histor…
eess.IV2020
Deep Interactive Denoiser (DID) for X-Ray Computed Tomography
Ti Bai, Biling Wang, Dan Nguyen +5
Low dose computed tomography (LDCT) is desirable for both diagnostic imaging and image guided interventions. Denoisers are openly used to improve the quality of LDCT. Deep learning…