Search Results - "Tanioka, Kensuke"
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Estimation and visualization of heterogeneous treatment effects for multiple outcomes
Published in Statistics in medicine (28-02-2023)“…We consider two‐arm comparison in clinical trials. The objective is to identify a population with characteristics that make the treatment effective. Such a…”
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2
Concordance rate of a four-quadrant plot for repeated measurements
Published in BMC medical research methodology (01-12-2021)“…To assure the equivalence between new clinical measurement methods and the standard methods, the four-quadrant plot and the plot's concordance rate is used in…”
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3
Causal rule ensemble method for estimating heterogeneous treatment effect with consideration of prognostic effects
Published in Statistical methods in medical research (01-06-2024)“…We propose a novel framework based on the RuleFit method to estimate heterogeneous treatment effect in randomized clinical trials. The proposed method…”
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Clustered Sparse Structural Equation Modeling for Heterogeneous Data
Published in Journal of classification (01-11-2023)“…Joint analysis with clustering and structural equation modeling is one of the most popular approaches to analyzing heterogeneous data. The methods involved in…”
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Estimation of a treatment effect based on a modified covariates method with L0 norm
Published in Artificial life and robotics (01-05-2024)“…In randomized clinical trials, we assumed the situation that the new treatment is not adequate compared to the control treatment as a result. However, it is…”
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Performance comparison of deep learning architectures for surgical instrument image removal in gastrointestinal endoscopic imaging
Published in Artificial life and robotics (01-05-2023)“…Endoscopic images typically contain several artifacts. The artifacts significantly impact image analysis result in computer-aided diagnosis. Convolutional…”
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Thresholding Approach for Low-Rank Correlation Matrix Based on MM Algorithm
Published in Entropy (Basel, Switzerland) (20-04-2022)“…Low-rank approximation is used to interpret the features of a correlation matrix using visualization tools; however, a low-rank approximation may result in an…”
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Low-Rank Approximation of Difference between Correlation Matrices Using Inner Product
Published in Applied sciences (17-05-2021)“…In the domain of functional magnetic resonance imaging (fMRI) data analysis, given two correlation matrices between regions of interest (ROIs) for the same…”
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Endoscopic ultrasonography shear wave as a predictive factor of endocrine/exocrine dysfunction in chronic pancreatitis
Published in Journal of gastroenterology and hepatology (01-02-2021)“…Background and Aim Chronic pancreatitis (CP) leads to permanent impairment of exocrine and endocrine functions. The endoscopic ultrasonography (EUS)‐based…”
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10
Preliminary Investigation of the Association Between Driving Pleasure and Brain Activity with Mapper-based Topological Data Analysis
Published in International journal of ITS research (01-12-2023)“… This study explores the factors contributing to driving pleasure by analyzing multimodal data, including physiological, behavioral, and psychological…”
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Simultaneous Method of Orthogonal Non-metric Non-negative Matrix Factorization and Constrained Non-hierarchical Clustering
Published in Journal of classification (01-04-2019)“…For multivariate categorical data, it is important to detect both clustering structures and low dimensions such that clusters are discriminated. This is…”
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Revealing Changes in Brain Functional Networks Caused by Focused-Attention Meditation Using Tucker3 Clustering
Published in Frontiers in human neuroscience (22-01-2020)“…This study examines the effects of focused-attention meditation on functional brain states in novice meditators. There are a number of feature metrics for…”
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13
Hemispheric Lateralization in Older Adults Who Habitually Play Darts: A Cross-Sectional Study Using Functional Near-Infrared Spectroscopy
Published in Healthcare (Basel) (01-04-2024)“…Exercise training integrating physical and cognitive activities is gaining attention because of its potential benefits for brain health. This study focuses on…”
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Predicting the Degree of Distracted Driving Based on fNIRS Functional Connectivity: A Pilot Study
Published in Frontiers in neuroergonomics (08-07-2022)“…Distracted driving is one of the main causes of traffic accidents. By predicting the attentional state of drivers, it is possible to prevent distractions and…”
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15
Utility of Elastography with Endoscopic Ultrasonography Shear-Wave Measurement for Diagnosing Chronic Pancreatitis
Published in Gut and liver (01-09-2020)“…Background/AimsRosemont classification (RC) with endoscopic ultrasonography (EUS) is important for diagnosing chronic pancreatitis (CP) but is based only on…”
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Radical treatment for walled‐off necrosis: Transmural nasocyst continuous irrigation
Published in Digestive endoscopy (01-05-2019)“…Background and Aim Treatment efficiency of walled‐off necrosis (WON) using endoscopic ultrasound‐guided drainage (EUS‐D) with a double pigtail stent (DPS) is…”
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Effectiveness of endoscopic ultrasound-guided drainage for noncapsulated postoperative pancreatic collection
Published in Therapeutic advances in gastroenterology (2019)“…Background: Postoperative pancreatic collection (POPC) is a frequent complication after pancreatectomy. Although percutaneous drainage (PD) has been the…”
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Effect of duration from lingual nerve injury to undergoing microneurosurgery on improving sensory and taste functions: retrospective study
Published in Maxillofacial plastic and reconstructive surgery (01-12-2019)“…Background The prognosis of recovery following microneurosurgery for injured lingual nerves varies among individual cases. This study aimed to investigate if…”
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Utility of Contrast-Enhanced Harmonic Endoscopic Ultrasonography for Early Diagnosis of Small Pancreatic Cancer
Published in Diagnostics (Basel) (01-01-2020)“…This study aimed to assess whether contrast-enhanced harmonic endoscopic ultrasonography (CH-EUS), compared to multidetector-row computed tomography (MDCT) and…”
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DISCRIMINANT COORDINATES FOR ASYMMETRIC DISSIMILARITY DATA BASED ON RADIUS MODEL
Published in Behaviormetrika (2016)“…Asymmetric multidimensional scaling is a visualization method that reveals relations between objects using their asymmetric dissimilarity data as input. Such…”
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