Multimodal deep learning models for the prediction of pathologic response to neoadjuvant chemotherapy in breast cancer von Joo, Sunghoon, Ko, Eun Sook, Kwon, Soonhwan, Jeon, Eunjoo, Jung, Hyungsik, Kim, Ji-Yeon, Chung, Myung Jin, Im, Young-Hyuck

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Generative Model for Proposing Drug Candidates Satisfying Anticancer Properties Using a Conditional Variational Autoencoder von Joo, Sunghoon, Kim, Min Soo, Yang, Jaeho, Park, Jeahyun

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Development of deep learning algorithm for detecting dyskalemia based on electrocardiogram von An, Jung Nam, Park, Minje, Joo, Sunghoon, Chang, Mineok, Kim, Do Hyoung, Shin, Dong Geum, Na, Yeongyeon, Kim, Jwa-Kyung, Lee, Hyung-Seok, Song, Young Rim, Lee, Yeha, Kim, Sung Gyun

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Prediction of pathologic complete response to neoadjuvant chemotherapy using machine learning models in patients with breast cancer von Kim, Ji-Yeon, Jeon, Eunjoo, Kwon, Soonhwan, Jung, Hyungsik, Joo, Sunghoon, Park, Youngmin, Lee, Se Kyung, Lee, Jeong Eon, Nam, Seok Jin, Cho, Eun Yoon, Park, Yeon Hee, Ahn, Jin Seok, Im, Young-Hyuck

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Surface-printed microdot array chips for the quantification of axonal collateral branching of a single neuron in vitro von Kim, Woon Ryoung, Jang, Min Jee, Joo, Sunghoon, Sun, Woong, Nam, Yoonkey

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Outliers in financial time series data: Outliers, margin debt, and economic recession von Lee, Kangbok, Jeong, Yeasung, Joo, Sunghoon, Yoon, Yeo Song, Han, Sumin, Baik, Hyeoncheol

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Tissue-based metabolic labeling of polysialic acids in living primary hippocampal neurons von Kang, Kyungtae, Joo, Sunghoon, Choi, Ji Yu, Geum, Sujeong, Hong, Seok-Pyo, Lee, Seung-Yeul, Kim, Yong Ho, Kim, Seong-Min, Yoon, Myung-Han, Nam, Yoonkey, Lee, Kyung-Bok, Lee, Hee-Yoon, Choi, Insung S.

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Evaluating the Risk of Paroxysmal Atrial Fibrillation in Noncardioembolic Ischemic Stroke Using Artificial Intelligence-Enabled ECG Algorithm von Han, Changho, Kwon, Oyeon, Chang, Mineok, Joo, Sunghoon, Lee, Yeha, Lee, Jin Soo, Hong, Ji Man, Lee, Seong-Joon, Yoon, Dukyong

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Contribution of Extracellular Matrix Component Landscapes in the Adult Subventricular Zone to the Positioning of Neural Stem/Progenitor Cells von Kim, Hyun Jung, Lee, Eunsoo, Nam, Myungwoo, Chung, Jae Kwon, Joo, Sunghoon, Nam, Yoonkey, Sun, Woong

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Identification of feedback loops in neural networks based on multi-step Granger causality von DONG, Chao-Yi, SHIN, Dongkwan, JOO, Sunghoon, NAM, Yoonkey, CHO, Kwang-Hyun

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Forecasting net charge-off rates of banks: What model works best? von R. Barth, James, Han, Sumin, Joo, Sunghoon, Bok Lee, Kang, Maglic, Stevan, Shen, Xuan

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A bank's optimal capital ratio: A time-varying parameter model to the partial adjustment framework von Baik, Hyeoncheol, Han, Sumin, Joo, Sunghoon, Lee, Kangbok

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Bond‐blockholders and corporate acquisitions von Chung, Chune Young, Joo, Sunghoon, Kang, Sanggyu

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Abstract 18249: Artificial Intelligence-Based Electrocardiogram Prediction for Duration of Atrial Fibrillation von Park, Youngjun, Kim, Kyung Geun, Joo, Sunghoon, Chang, Mineok, Lee, Yeha

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Abstract 14208: New Artificial Intelligence Algorithms of Electrocardiogram Detection for Patients With Heart Failure von Park, Youngjun, Kim, Kyung Geun, Joo, Sunghoon, Chang, Mineok, Lee, Yeha

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Difference-in-Differences with matching methods in leadership studies: A review and practical guide von Lee, Kangbok, Jeong, Yeasung, Han, Sumin, Joo, Sunghoon, Park, Junyoung, Qi, Kangkang

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In vitro neurite guidance effects induced by polylysine pinstripe micropatterns with polylysine background von Joo, Sunghoon, Kang, Kyungtae, Nam, Yoonkey

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Specialized ECG data augmentation method: leveraging precordial lead positional variability von Lim, Jeonghwa, Lee, Yeha, Jang, Wonseuk, Joo, Sunghoon

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Effects of ECM protein micropatterns on the migration and differentiation of adult neural stem cells von Joo, Sunghoon, Yeon Kim, Joo, Lee, Eunsoo, Hong, Nari, Sun, Woong, Nam, Yoonkey

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Unbalanced data, type II error, and nonlinearity in predicting M&A failure von Lee, Kangbok, Joo, Sunghoon, Baik, Hyeoncheol, Han, Sumin, In, Joonhwan

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