Search Results - "Joo, Sunghoon"
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Multimodal deep learning models for the prediction of pathologic response to neoadjuvant chemotherapy in breast cancer
Published in Scientific reports (22-09-2021)“…The achievement of the pathologic complete response (pCR) has been considered a metric for the success of neoadjuvant chemotherapy (NAC) and a powerful…”
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Characterization of Axonal Spikes in Cultured Neuronal Networks Using Microelectrode Arrays and Microchannel Devices
Published in IEEE transactions on biomedical engineering (01-02-2017)“…Objective: Axonal propagation has a pivotal role in information processing in the brain. However, there has been little experimental study due to the…”
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Development of deep learning algorithm for detecting dyskalemia based on electrocardiogram
Published in Scientific reports (01-10-2024)“…Dyskalemia is a common electrolyte abnormality. Since dyskalemia can cause fatal arrhythmias and cardiac arrest in severe cases, it is crucial to monitor serum…”
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Prediction of pathologic complete response to neoadjuvant chemotherapy using machine learning models in patients with breast cancer
Published in Breast cancer research and treatment (01-10-2021)“…Background The aim of this study was to develop a machine learning (ML) based model to accurately predict pathologic complete response (pCR) to neoadjuvant…”
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Generative Model for Proposing Drug Candidates Satisfying Anticancer Properties Using a Conditional Variational Autoencoder
Published in ACS omega (04-08-2020)“…Deep learning-based molecular generative models have successfully identified drug candidates with desired properties against biological targets of interest…”
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Surface-printed microdot array chips for the quantification of axonal collateral branching of a single neuron in vitro
Published in Lab on a chip (01-01-2014)“…Precise and quantitative control of extracellular signalling cues using surface-engineered chips has facilitated various neurobiological assays in vitro…”
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Outliers in financial time series data: Outliers, margin debt, and economic recession
Published in Machine learning with applications (01-12-2022)“…Outliers in financial time series data are different from that in cross-sectional data in terms of the treatment and the detection. First, outliers in time…”
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Tissue-based metabolic labeling of polysialic acids in living primary hippocampal neurons
Published in Proceedings of the National Academy of Sciences - PNAS (20-01-2015)“…Significance The roles of cell-surface glycans remain elusive compared with those of proteins or lipids because of their diverse and dynamic nature. Metabolic…”
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Contribution of Extracellular Matrix Component Landscapes in the Adult Subventricular Zone to the Positioning of Neural Stem/Progenitor Cells
Published in Experimental neurobiology (31-08-2021)“…Neurogenesis persists in restricted regions of the adult brain, including the subventricular zone (SVZ). Adult neural stem cells (NSCs) in the SVZ proliferate…”
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Evaluating the Risk of Paroxysmal Atrial Fibrillation in Noncardioembolic Ischemic Stroke Using Artificial Intelligence-Enabled ECG Algorithm
Published in Frontiers in cardiovascular medicine (08-04-2022)“…The identification of latent atrial fibrillation (AF) in patients with ischemic stroke (IS) attributed to noncardioembolic etiology may have therapeutic…”
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Identification of feedback loops in neural networks based on multi-step Granger causality
Published in Bioinformatics (15-08-2012)“…Feedback circuits are crucial network motifs, ubiquitously found in many intra- and inter-cellular regulatory networks, and also act as basic building blocks…”
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Forecasting net charge-off rates of banks: What model works best?
Published in Quantitative finance and economics (01-01-2018)“…The purpose of this paper is to focus on the losses of two very big banks, Citigroup (Citi) and Wells Fargo & Company (Wells Fargo), and two very small banks,…”
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13
Slow-Wave Recordings From Micro-Sized Neural Clusters Using Multiwell Type Microelectrode Arrays
Published in IEEE transactions on biomedical engineering (01-02-2019)“…Objective: The use of microelectrode array (MEA) recordings is a very effective neurophysiological method because it is able to continuously and noninvasively…”
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A bank's optimal capital ratio: A time-varying parameter model to the partial adjustment framework
Published in Journal of banking & finance (01-09-2022)“…We extend the existing literature on bank capital structure by applying a time-varying parameter model to the partial adjustment framework. This model allows…”
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15
Bond‐blockholders and corporate acquisitions
Published in Corporate governance : an international review (01-05-2024)“…Research Question/Issue We examine whether bond‐blockholders provide additional, distinct monitoring roles in merger and acquisition (M&A) processes beyond…”
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Abstract 14208: New Artificial Intelligence Algorithms of Electrocardiogram Detection for Patients With Heart Failure
Published in Circulation (New York, N.Y.) (07-11-2023)“…Abstract only Introduction: Heart failure (HF) is a global pandemic with an increasing prevalence. The burden of HF-related hospitalizations and costs are…”
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Abstract 18249: Artificial Intelligence-Based Electrocardiogram Prediction for Duration of Atrial Fibrillation
Published in Circulation (New York, N.Y.) (07-11-2023)“…Abstract only Introduction: Atrial fibrillation (AF) is the most common sustained arrhythmia and is associated with poor clinical outcomes, including stroke,…”
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Difference-in-Differences with matching methods in leadership studies: A review and practical guide
Published in The Leadership quarterly (01-08-2024)Get full text
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In vitro neurite guidance effects induced by polylysine pinstripe micropatterns with polylysine background
Published in Journal of biomedical materials research. Part A (01-08-2015)“…Engineered culture substrates with chemical neurite guidance cues have been used for studying the mechanism of axon pathfinding at cellular level. In this…”
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Stimuli‐Responsive Neuronal Networking via Removable Alginate Masks
Published in Advanced biosystems (01-07-2018)“…The neuron patterning method has been applied to cultured neuronal networks to achieve better reproducibility and various experimental conditions in brain…”
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