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Article
Open AccessInvestigation of daily patterns for smartphone keystroke dynamics based on loneliness and social isolation
This study examined the relationship between loneliness levels and daily patterns of mobile keystroke dynamics in healthy individuals. Sixty-six young healthy Koreans participated in the experiment. Over five ...
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Article
Open AccessDeep learning-based optic disc classification is affected by optic-disc tilt
We aimed to determine the effect of optic disc tilt on deep learning-based optic disc classification. A total of 2507 fundus photographs were acquired from 2236 eyes of 1809 subjects (mean age of 46 years; 53%...
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Article
Open AccessDeep learning models for screening of high myopia using optical coherence tomography
This study aimed to validate and evaluate deep learning (DL) models for screening of high myopia using spectral-domain optical coherence tomography (OCT). This retrospective cross-sectional study included 690 ...
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Article
Open AccessDeep-learning framework and computer assisted fatty infiltration analysis for the supraspinatus muscle in MRI
Occupation ratio and fatty infiltration are important parameters for evaluating patients with rotator cuff tears. We analyzed the occupation ratio using a deep-learning framework and studied the fatty infiltra...
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Article
Open AccessThe long-lasting post-stimulation inhibitory effects of bladder activity induced by posterior tibial nerve stimulation in unanesthetized rats
Tibial nerve stimulation (TNS) is one of the neuromodulation methods used to treat an overactive bladder (OAB). However, the treatment mechanism is not accurately understood owing to significant differences in...
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Article
Open AccessComputer-aided recognition of myopic tilted optic disc using deep learning algorithms in fundus photography
It is necessary to consider myopic optic disc tilt as it seriously impacts normal ocular parameters. However, ophthalmologic measurements are within inter-observer variability and time-consuming to get. This s...
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Article
Open AccessAutomated measurement of hydrops ratio from MRI in patients with Ménière’s disease using CNN-based segmentation
Ménière’s Disease (MD) is difficult to diagnose and evaluate objectively over the course of treatment. Recently, several studies have reported MD diagnoses by MRI-based endolymphatic hydrops (EH) analysis. How...
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Article
Open AccessDevelopment of a DNA isolation device using poly(3,4-dihydroxy-L-phenylalanine)-coated swab for on-site molecular diagnostics
For on-site molecular diagnostics, a pre-treatment step for isolation of nucleic acid from clinical samples on site is desired. However, conventional commercialized silica-based nucleic acid isolation kits req...
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Chapter and Conference Paper
Tumor Subtype-Specific Parameter Optimization in a Hybrid Active Surface Model for Hepatic Tumor Segmentation of 3D Liver Ultrasonograms
Segmentation of hepatic tumors is a clinically demanding task for improving reliability in diagnosis and treatment procedures, and yet remains a challenging problem due to their highly noisy, low contrast, and...
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Chapter and Conference Paper
Learning a Structured Graphical Model with Boosted Top-Down Features for Ultrasound Image Segmentation
A key problem for many medical image segmentation tasks is the combination of different-level knowledge. We propose a novel scheme of embedding detected regions into a superpixel based graphical model, by whic...
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Article
OMERO.searcher: content-based image search for microscope images
