Kento Morita
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View article: Refinement of the novel tank diving test: toward standardized and robust analysis of anxiety-like behavior in zebrafish
Refinement of the novel tank diving test: toward standardized and robust analysis of anxiety-like behavior in zebrafish Open
The novel tank diving test (NTT) is a widely used behavioral assay for evaluating anxiety-like behaviors in zebrafish; however, results often exhibit considerable variability across different experimental settings. In this study, we system…
View article: Prediction of Fetal Growth Restriction Using Placental Image Features in BOLD MRI
Prediction of Fetal Growth Restriction Using Placental Image Features in BOLD MRI Open
Fetal growth restriction (FGR) is a disease during pregnancy that increases the risk of preterm birth and perinatal death. Currently, the diagnosis of FGR relies on ultrasonography-based estimated fetal body weight (EFBW). However, EFBW ca…
View article: Prediction of cardiovascular events after carotid endarterectomy using pathological images and clinical data
Prediction of cardiovascular events after carotid endarterectomy using pathological images and clinical data Open
Purpose Carotid endarterectomy (CEA) is a surgical treatment for carotid artery stenosis. After CEA, some patients experience cardiovascular events (myocardial infarction, stroke, etc.); however, the prognostic factor has yet to be reveale…
View article: License Plate Recognition Using Three-Dimensional Rotated Character Recognition and Instance Segmentation by Deep Learning
License Plate Recognition Using Three-Dimensional Rotated Character Recognition and Instance Segmentation by Deep Learning Open
License plate recognition is currently used in various situations, such as parking lot vehicle management and the tracking of wanted vehicles. These applications require recognition from all possible camera angles. Therefore, we propose a …
View article: Automatic Classification of Sleep-Wake States of Newborns Using Only Body and Face Videos
Automatic Classification of Sleep-Wake States of Newborns Using Only Body and Face Videos Open
The premature newborn receives specialized medical care in the neonatal intensive care unit (NICU), where various medical devices emit excessive light and sound stimulation, and those prolonged exposures to stimuli may cause stress and hin…
View article: Introduction to Image AI with Deep Learning
Introduction to Image AI with Deep Learning Open
View article: Preoperative Osteonecrosis Region Detection Using Contrastive Learning and SVM
Preoperative Osteonecrosis Region Detection Using Contrastive Learning and SVM Open
Osteomyelitis of the jaw (OMJ) is a serious bacterial infection that affects the jaw bones, which can be caused by a variety of bacteria. Osteonecrosis of the jaw (ONJ) is bone necrosis following a bacterial infection. Symptoms may include…
View article: Prediction of prognosis using artificial intelligence‐based histopathological image analysis in patients with soft tissue sarcomas
Prediction of prognosis using artificial intelligence‐based histopathological image analysis in patients with soft tissue sarcomas Open
Background Prompt histopathological diagnosis with accuracy is required for soft tissue sarcomas (STSs) which are still challenging. In addition, the advances in artificial intelligence (AI) along with the development of pathology slides d…
View article: Semi-automatic design concept of 3D-printed individualized template for interstitial brachytherapy of vaginal tumors
Semi-automatic design concept of 3D-printed individualized template for interstitial brachytherapy of vaginal tumors Open
We aimed to introduce a novel semi-automatic design approach for fabricating individualized, three-dimensional printed template dedicated to interstitial brachytherapy in vaginal tumor treatment. The central component of this concept invol…
View article: Time Series Self-Attention Approach for Human Motion Forecasting: A Baseline 2D Pose Forecasting
Time Series Self-Attention Approach for Human Motion Forecasting: A Baseline 2D Pose Forecasting Open
Human motion forecasting is a necessary variable to analyze human motion concerning the safety system of the autonomous system that could be used in many applications, such as in auto-driving vehicles, auto-pilot logistics delivery, and ga…
View article: Comparison of RNN-LSTM and Kalman Filter Based Time Series Human Motion Prediction
Comparison of RNN-LSTM and Kalman Filter Based Time Series Human Motion Prediction Open
Machine-human and machine-machine interaction is inevitable and needs to be considered apart from human-machine interaction. For the safety of machine interaction, the system is required to prevent any unexpected accident. This paper propo…
View article: Evaluating tubulointerstitial compartments in renal biopsy specimens using a deep learning-based approach for classifying normal and abnormal tubules
Evaluating tubulointerstitial compartments in renal biopsy specimens using a deep learning-based approach for classifying normal and abnormal tubules Open
Renal pathology is essential for diagnosing and assessing the severity and prognosis of kidney diseases. Deep learning-based approaches have developed rapidly and have been applied in renal pathology. However, methods for the automated cla…
View article: Automatic Neonatal Alertness State Classification Based on Facial Expression Recognition
Automatic Neonatal Alertness State Classification Based on Facial Expression Recognition Open
Premature babies are admitted to the neonatal intensive care unit (NICU) for several weeks and are generally placed under high medical supervision. The NICU environment is considered to have a bad influence on the formation of the sleep-wa…
View article: Automatic Carpal Site Detection Method for Evaluation of Rheumatoid Arthritis Using Deep Learning
Automatic Carpal Site Detection Method for Evaluation of Rheumatoid Arthritis Using Deep Learning Open
Approximately 600,000 to 1,000,000 patients are diagnosed with rheumatoid arthritis (RA) in Japan. To provide appropriate treatment, it is necessary to accurately measure the progression of RA by diagnosing the disease several times a year…
View article: Explainable Machine Learning for Atrial Fibrillation in the General Population Using a Generalized Additive Model ― A Cross-Sectional Study ―
Explainable Machine Learning for Atrial Fibrillation in the General Population Using a Generalized Additive Model ― A Cross-Sectional Study ― Open
Background: Atrial fibrillation (AF) is the most common arrhythmia and is associated with increased thromboembolic stroke risk and heart failure. Although various prediction models for AF risk have been developed using machin…
View article: Time Series Human Motion Prediction Using RGB Camera and OpenPose
Time Series Human Motion Prediction Using RGB Camera and OpenPose Open
The report projects that by 2050, the population aged 60 and above will reach 2.1 billion. This aging society is more likely to suffer from locomotive syndrome. In order to reduce the spread of locomotive syndrome, it is best to increase a…
View article: Osteoradionecrosis Region Estimation Using Machine Learning
Osteoradionecrosis Region Estimation Using Machine Learning Open
Osteoradionecrosis is a disease caused by a bone resorption inhibitor or the radiation therapy to the head and neck cancer. Conservative therapy using antibacterial drug or surgery to remove the necrosis bone have been done in the ORN trea…
View article: Implanted Knee Joint Kinematics Recognition in Digital Radiograph Images Using Particle Filter
Implanted Knee Joint Kinematics Recognition in Digital Radiograph Images Using Particle Filter Open
Implanted knee kinematics recognition is required in total knee arthroplasty (TKA), which replaces damaged knee joint with artificial one. The 3-D kinematics of implanted knee in-vivo is used to quantify the knee function for diagnosis of …
View article: Influence of Spatial Resolution in Three-dimensional Cine Phase Contrast Magnetic Resonance Imaging on the Accuracy of Hemodynamic Analysis
Influence of Spatial Resolution in Three-dimensional Cine Phase Contrast Magnetic Resonance Imaging on the Accuracy of Hemodynamic Analysis Open
Flow velocity measurement accuracy of 3D cine PC MR imaging for pipes with inner sizes equivalent to vessels in the cervical and thoracicoabdominal arteries is good. The flow velocity accuracy for the pipe with a 3-mm-diameter that is equi…
View article: Non-rigid Cerebral Surface Registration for Neonates Using ICP Algorithm (SCI'15論文 特集号(2))
Non-rigid Cerebral Surface Registration for Neonates Using ICP Algorithm (SCI'15論文 特集号(2)) Open
View article: Development of Solid Oxide Fuel Cell device to collect electricity from exhaust gas
Development of Solid Oxide Fuel Cell device to collect electricity from exhaust gas Open
New exhaust device of Solid Oxide Fuel Cell (SOFC) had been proposed in our previous report. the purpose of it is to collect electricity from exhaust gas and to reduce emission of exhaust gas by means of chemical decomposition of the gas i…
View article: Non-rigid Cerebral Surface Registration for Neonates Using ICP Algorithm
Non-rigid Cerebral Surface Registration for Neonates Using ICP Algorithm Open
Magnetic resonance (MR) images are widely used to diagnose cerebral diseases. MR image registration based brain shape evaluation is effective to diagnose brain diseases because the diseases may deform the brain shape, and the deformed regi…
View article: Computer-aided Surgical Planning of Anterior Cruciate Ligament Reconstruction in MR Images
Computer-aided Surgical Planning of Anterior Cruciate Ligament Reconstruction in MR Images Open
Anterior cruciate ligament (ACL) injury causes knee joint instability, and effects on sports performance. Therefore, ACL reconstruction is essential to keep their high performance. It is well known that the outcome of ACL reconstruction is…