137 citations · 366 across the 7 of their papers we have counts for
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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.CL2023★ 1 cited
Boosting Radiology Report Generation by Infusing Comparison Prior
Sanghwan Kim, Farhad Nooralahzadeh, Morteza Rohanian +5
Recent transformer-based models have made significant strides in generating radiology reports from chest X-ray images. However, a prominent challenge remains: these models often la…