-
Article
Accuracy of skull strip** in a single-contrast convolutional neural network model using eight-contrast magnetic resonance images
In automated analyses of brain morphometry, skull strip** or brain extraction is a critical first step because it provides accurate spatial registration and signal-intensity normalization. Therefore, it is i...
-
Article
Open AccessUse of a deep-learning-based lumen extraction method to detect significant stenosis on coronary computed tomography angiography in patients with severe coronary calcification
Coronary computed tomography angiography examinations are increasingly becoming established as a minimally invasive method for diagnosing coronary diseases. However, although various imaging and processing met...
-
Article
Open AccessConvolutional neural network-based segmentation can help in assessing the substantia nigra in neuromelanin MRI
This study aimed to evaluate the accuracy and diagnostic test performance of the U-net-based segmentation method in neuromelanin magnetic resonance imaging (NM-MRI) compared to the established manual segmentat...
-
Article
Open AccessAnalysis of antihypertensive treatment using real-world Japanese data—the retrospective study of antihypertensives for lowering blood pressure (REAL) study
Hypertension requires strict treatment because it causes diseases that can lead to death. Although various classes of antihypertensive drugs are available, the actual status of antihypertensive drug selection ...
-
Article
Open AccessAnalysis of second- and third-line antihypertensive treatments after initial therapy with an angiotensin II receptor blocker using real-world Japanese data
Combination therapy using two or three classes of drugs is often required to treat hypertension to prevent cardiovascular disease. In this study, we examined combination therapies administered following initia...
