19 citations · 19 across the 2 of their papers we have counts for
2 papers
eess.IV2023
Development of pericardial fat count images using a combination of three different deep-learning models
Takaaki Matsunaga, Atsushi Kono, Hidetoshi Matsuo +9
Rationale and Objectives: Pericardial fat (PF), the thoracic visceral fat surrounding the heart, promotes the development of coronary artery disease by inducing inflammation of the…
cs.CV2021★ 19 cited
Unsupervised-learning-based method for chest MRI-CT transformation using structure constrained unsupervised generative attention networks
Hidetoshi Matsuo, Mizuho Nishio, Munenobu Nogami +6
The integrated positron emission tomography/magnetic resonance imaging (PET/MRI) scanner facilitates the simultaneous acquisition of metabolic information via PET and morphological…