Search Results - "Suk, Heung‐Il"

Deep Learning in Medical Image Analysis by Shen, Dinggang, Wu, Guorong, Suk, Heung-Il

“…This review covers computer-assisted analysis of images in the field of medical imaging. Recent advances in machine learning, especially with regard to deep…”
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Mutual Information-Driven Subject-Invariant and Class-Relevant Deep Representation Learning in BCI by Jeon, Eunjin, Ko, Wonjun, Yoon, Jee Seok, Suk, Heung-Il

“…In recent years, deep learning-based feature representation methods have shown a promising impact on electroencephalography (EEG)-based brain-computer…”
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Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification by Zhu, Xiaofeng, Suk, Heung-Il, Lee, Seong-Whan, Shen, Dinggang

“…The high feature-dimension and low sample-size problem is one of the major challenges in the study of computer-aided Alzheimer's disease (AD) diagnosis. To…”
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Learn-Explain-Reinforce: Counterfactual Reasoning and its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model by Oh, Kwanseok, Yoon, Jee Seok, Suk, Heung-Il

“…Existing studies on disease diagnostic models focus either on diagnostic model learning for performance improvement or on the visual explanation of a trained…”
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Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series by Mulyadi, Ahmad Wisnu, Jun, Eunji, Suk, Heung-Il

“…Electronic health records (EHR) consist of longitudinal clinical observations portrayed with sparsity, irregularity, and high dimensionality, which become…”
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Deep Efficient Continuous Manifold Learning for Time Series Modeling by Jeong, Seungwoo, Ko, Wonjun, Mulyadi, Ahmad Wisnu, Suk, Heung-Il

“…Modeling non-euclidean data is drawing extensive attention along with the unprecedented successes of deep neural networks in diverse fields. Particularly, a…”
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Deep recurrent model for individualized prediction of Alzheimer’s disease progression by Jung, Wonsik, Jun, Eunji, Suk, Heung-Il

“…•A novel computational framework that can predict the phenotypic measurement of MRI biomarkers and trajectories of clinical status along with cognitive scores…”
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Leveraging Coupled Interaction for Multimodal Alzheimer's Disease Diagnosis by Shi, Yinghuan, Suk, Heung-Il, Gao, Yang, Lee, Seong-Whan, Shen, Dinggang

“…As the population becomes older worldwide, accurate computer-aided diagnosis for Alzheimer's disease (AD) in the early stage has been regarded as a crucial…”
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A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces by SUK, Heung-Ii, LEE, Seong-Whan

“…As there has been a paradigm shift in the learning load from a human subject to a computer, machine learning has been considered as a useful tool for…”
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Toward an interpretable Alzheimer’s disease diagnostic model with regional abnormality representation via deep learning by Lee, Eunho, Choi, Jun-Sik, Kim, Minjeong, Suk, Heung-Il

“…In this paper, we propose a novel method for magnetic resonance imaging based Alzheimer’s disease (AD) or mild cognitive impairment (MCI) diagnosis that…”
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Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction by Jun, Eunji, Mulyadi, Ahmad Wisnu, Choi, Jaehun, Suk, Heung-Il

“…Electronic health records (EHRs) are characterized as nonstationary, heterogeneous, noisy, and sparse data; therefore, it is challenging to learn the…”
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TransSleep: Transitioning-Aware Attention-Based Deep Neural Network for Sleep Staging by Phyo, Jaeun, Ko, Wonjun, Jeon, Eunjin, Suk, Heung-Il

“…Sleep staging is essential for sleep assessment and plays a vital role as a health indicator. Many recent studies have devised various machine/deep learning…”
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A Novel RL-Assisted Deep Learning Framework for Task-Informative Signals Selection and Classification for Spontaneous BCIs by Ko, Wonjun, Jeon, Eunjin, Suk, Heung-Il

“…In this article, we formulate the problem of estimating and selecting task-relevant temporal signal segments from a single electroencephalogram (EEG) trial in…”
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A unified framework for personalized regions selection and functional relation modeling for early MCI identification by Lee, Jiyeon, Ko, Wonjun, Kang, Eunsong, Suk, Heung-Il

“…•A novel deep learning framework for automatic regions selection and regions’ functional relation modeling for early MCI identification.•Analyzing and…”
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Deep joint learning of pathological region localization and Alzheimer’s disease diagnosis by Park, Changhyun, Jung, Wonsik, Suk, Heung-Il

“…The identification of Alzheimer’s disease (AD) using structural magnetic resonance imaging (sMRI) has been studied based on the subtle morphological changes in…”
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Multi-View Integrative Attention-Based Deep Representation Learning for Irregular Clinical Time-Series Data by Lee, Yurim, Jun, Eunji, Choi, Jaehun, Suk, Heung-Il

“…Electronic health record (EHR) data are sparse and irregular as they are recorded at irregular time intervals, and different clinical variables are measured at…”
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Identifying resting‐state effective connectivity abnormalities in drug‐naïve major depressive disorder diagnosis via graph convolutional networks by Jun, Eunji, Na, Kyoung‐Sae, Kang, Wooyoung, Lee, Jiyeon, Suk, Heung‐Il, Ham, Byung‐Joo

“…Major depressive disorder (MDD) is a leading cause of disability; its symptoms interfere with social, occupational, interpersonal, and academic functioning…”
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Multiple functional networks modeling for autism spectrum disorder diagnosis by Kam, Tae‐Eui, Suk, Heung‐Il, Lee, Seong‐Whan

“…Despite countless studies on autism spectrum disorder (ASD), diagnosis relies on specific behavioral criteria and neuroimaging biomarkers for the disorder are…”
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Modeling regional dynamics in low-frequency fluctuation and its application to Autism spectrum disorder diagnosis by Jun, Eunji, Kang, Eunsong, Choi, Jaehun, Suk, Heung-Il

“…With the advent of neuroimaging techniques, many studies in the literature have validated the use of resting-state fMRI (rs-fMRI) for understanding functional…”
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Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis by Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen

“…Recent studies on Alzheimer's Disease (AD) or its prodromal stage, Mild Cognitive Impairment (MCI), diagnosis presented that the tasks of identifying brain…”
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