A5100424866- Radiomics and Machine Learning in Medical Imaging
- Acute Ischemic Stroke Management
- Advanced MRI Techniques and Applications
- Neuroscience and Neural Engineering
- Cerebrovascular and Carotid Artery Diseases
- Genetic Mapping and Diversity in Plants and Animals
- AI in cancer detection
- Colorectal Cancer Screening and Detection
- Electrical and Bioimpedance Tomography
- Atomic and Subatomic Physics Research
- Advanced Sensor and Energy Harvesting Materials
- Advanced Condensed Matter Physics
- Magnetic and transport properties of perovskites and related materials
- Conducting polymers and applications
- Transcranial Magnetic Stimulation Studies
- Gastric Cancer Management and Outcomes
- Dark Matter and Cosmic Phenomena
- Helicobacter pylori-related gastroenterology studies
- Cryptography and Data Security
- COVID-19 diagnosis using AI
- Lung Cancer Diagnosis and Treatment
- GABA and Rice Research
- Medical Imaging Techniques and Applications
- Medical Imaging and Analysis
- Photoreceptor and optogenetics research
Korea Advanced Institute of Science and Technology
2024
Kootenay Association for Science & Technology
2024
Institute for Basic Science
2023
The University of Tokyo
2008-2020
Konkuk University
2020
Changwon National University
2018
Tokyo University of Information Sciences
2014-2018
Sungkyunkwan University
2018
Japan Science and Technology Agency
2014-2017
Chosun University
2017
Significance We have developed a transparent, ultraflexible, and active multielectrode array (MEA), which consists of transparent organic electrochemical transistors Au grid wirings. The micropatterned showed 60% transparency at 475-nm wavelength. MEA the spatial mapping electrocorticogram electrical signals from an optogenetic rat with 1-mm spacing shows lower light artifacts than noise level.
We report an axion dark matter search at Dine-Fischler-Srednicki-Zhitnitskii sensitivity with the CAPP-12TB haloscope, assuming axions contribute 100% of local density. The excluded axion-photon coupling g_{aγγ} down to about 6.2×10^{-16} GeV^{-1} over mass range between 4.51 and 4.59 μeV a 90% confidence level. achieved experimental can also exclude Kim-Shifman-Vainshtein-Zakharov that makes up just 13% haloscope will continue wide masses.
Integration of organic electrochemical transistors and field-effect is successfully realized on a 600 nm thick parylene film toward an electrophysiology array. A single cell integrated device 2 × array succeed in detecting electromyogram with local stimulation the motor nerve bundle transgenic rat by laser pulse.
Most event-related potential (ERP)-based brain-computer interface (BCI) spellers primarily use matrix layouts and generally require moderate eye movement for successful operation. The fundamental objective of this paper is to enhance the perceptibility target characters by introducing motion stimuli classical rapid serial visual presentation (RSVP) that do not any movement, thereby applying them paralyzed patients with oculomotor dysfunctions. To test feasibility proposed motion-based RSVP...
Abstract Platinum-based chemotherapy is the cornerstone treatment for female high-grade serous ovarian carcinoma (HGSOC), but choosing an appropriate patients hinges on their responsiveness to it. Currently, no available biomarkers can promptly predict responses platinum-based treatment. Therefore, we developed Pathologic Risk Classifier HGSOC (PathoRiCH), a histopathologic image–based classifier. PathoRiCH was trained in-house cohort ( n = 394) and validated two independent external cohorts...
Significance We have developed an ultraflexible and MRI-compatible optogenetic stimulator using organic light emitting diodes (OLEDs), which activate channelrhodopsin-2–expressing neurons in transgenic animals. The OLEDs can be conformably attached to soft neuronal tissues, such as peripheral nerves or brain, the superior mechanical flexibility significantly reduces damages tissues. They are also compatible with neuroimaging techniques MRI, while allowing investigation of evoked activities...
Time-series anomaly detection deals with the problem of detecting anomalous timesteps by learning normality from sequence observations. However, concept evolves over time, leading to a "new normal problem", where distribution can be changed due shifts between training and test data. This paper highlights prevalence new in unsupervised time-series studies. To tackle this issue, we propose simple yet effective test-time adaptation strategy based on trend estimation self-supervised approach...
Accurate classification of ischemic stroke subtype is important for effective secondary prevention stroke. We used diffusion-weighted image (DWI) and atrial fibrillation (AF) data to train a deep learning algorithm classify subtype. Model development was done in 2,988 patients with from three centers by using U-net infarct segmentation EfficientNetV2 classification. Experienced neurologists (n=5) determined subtypes external test datasets, while establishing consensus clinical trial...
We report a 2.45GHz microwave-excited atmospheric-pressure plasma jet (MW-APPJ) device using microstrip line for materials processing. A three-dimensional simulation based on the finite difference time domain method revealed that configuration of MW-APPJ results in strong concentration electric fields at gas nozzle. Argon plasmas were generated nozzle and blown into ambient air with maximum length 5mm microwave power 40W. The rotational temperatures molecular nitrogen downstream jets,...
Abstract Background This multicenter clinical trial evaluated the stand-alone efficacy and improvements in diagnostic accuracy of early-career physicians using a deep learning-based software to detect large vessel occlusion (LVO) CT angiography (CTA). Methods pivotal included 595 ischemic stroke patients from January 2018 September 2023. Standard reference LVO locations (intracranial internal carotid artery [ICA], M1, or M2) were determined by consensus among three expert vascular...
BACKGROUND: Early identification of large vessel occlusion (LVO) in patients with ischemic stroke is crucial for timely interventions. We propose a machine learning–based algorithm (JLK-CTL) that uses handcrafted features from noncontrast computed tomography to predict LVO. METHODS: included who underwent concurrent and angiography seven hospitals. Patients 5 these hospitals, admitted between May 2011 March 2015, were randomly divided into training internal validation (9:1 ratio). Those the...
Objective The chest X-ray (CXR) is the most readily available and common imaging modality for assessment of pneumonia. However, detecting pneumonia from radiography a challenging task, even experienced radiologists. An artificial intelligence (AI) model might help to diagnose CXR more quickly accurately. We aim develop an AI images evaluate diagnostic performance with external dataset. Methods To train model, total 157,016 National Institutes Health (NIH) Korean Tuberculosis Association...
Background We compared the ischemic core and hypoperfused tissue volumes estimated by RAPID JLK-CTP, a newly developed automated computed tomography perfusion (CTP) analysis package. also assessed agreement between two software packages against early follow-up infarct on diffusion-weighted images (DWI). Methods This retrospective study analyzed 327 patients admitted to single stroke center in Korea from January 2021 May 2023, who underwent CTP scans within 24 h of onset. The concordance...
Abstract There has been a persistent demand for an innovative modality in real-time histologic imaging, distinct from the conventional frozen section technique. We developed artificial intelligence-driven evaluation model gastric cancer tissue using confocal laser endomicroscopic system. The remarkable performance of suggests its potential utilization as standalone instantaneous assessment and complementary tool pathologists’ interpretation.
To provide the integrity of outsourced data in cloud storage services, many public auditing schemes which allow a user to check have been proposed. Since most are constructed on Public Key Infrastructure (PKI), they suffer from several concerns like management certificates. resolve problems, certificateless also studied recent years. In this paper, we propose scheme has constant -time verification algorithm. Therefore, our is more efficient than previous schemes. prove security scheme, first...
Abstract Objective We aimed to validate a software, JLK-LVO, that automatically detects large vessel occlusion (LVO) on computed tomography angiography (CTA) using deep learning, within prospective multicenter dataset. In addition, we calibrated the predicted probability of LVO against observed frequency and assessed clinical implications in terms follow-up infarct volume functional outcome. Method From 2021 2023, prospectively collected data from patients who underwent CTA 24 hours symptom...
In no-insulation (NI) REBCO coils, thermal contact resistance (TCR) between winding turns has important influence on stability of magnets under varying magnetic field or even in case quench. Reduction TCR is one the crucial factors to develop thermally stable cooled by conduction. To avoid a delamination problem, epoxy not usually used and significant exists NI magnets. Then, thin layers coil surfaces metallic conduction plates are enhance design conduction, TCR, induced dry contacts turns,...
This study aimed to develop a screening model for rotator cuff tear detection in all three planes of routine shoulder MRI using deep neural network. A total 794 scans (374 men and 420 women; aged 59 ± 11 years) were utilized. Three musculoskeletal radiologists labeled the tear. The YOLO v8 was then trained; training performed with imaging simultaneously axial, coronal, sagittal images separately. performances models evaluated compared receiver operating curves area under curve (AUC). AUC...
49,XXXXY syndrome is a rare sex chromosome aneuploidy and characterized by mental retardation, skeletal defects, craniofacial anomalies hypogonadism. The increased frequency of diabetes mellitus in patients with Klinefelter other types X-chromosome polysomy has been reported, but no cases adult have reported so far. We report an 18-year-old patient accompanying mellitus.
The identification of the sentinel lymph nodes that cause tumor metastasis is important in breast cancer therapy. detection magnetic fluid accumulating using a probe allows surgeons to identify nodes. In this study, we carried out numerical simulations and experiments investigate sensitivity basic characteristics consisting permanent magnet small sensor. measured flux density arising from agreed well with results. addition, results helped realize an appropriate configuration for achieving...