Heung-Il Suk - RankMe

165 papers A* 6A 6B 7Misc 2Journal 87Unranked 51

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Complex wavelet-based Transformer for neurodevelopmental disorder diagnosis via direct modeling of real and imaginary components. Medical Image Anal. Ah-Yeong Jeong, Da-Woon Heo, Heung-Il Suk
2026	J	`jnl`	Explainable Normative Modeling for Brain Disorder Identification in Resting-State fMRI. IEEE Trans. Medical Imaging Yeajin Shon, Eunsong Kang, Da-Woon Heo, Heung-Il Suk
2026	J	`jnl`	FIESTA: Fourier-Based Semantic Augmentation With Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation. IEEE Trans. Neural Networks Learn. Syst. Kwanseok Oh, Eunjin Jeon, Da-Woon Heo, Yooseung Shin, Heung-Il Suk
2026	A*	`conf`	HyFI: Hyperbolic Feature Interpolation for Brain-Vision Alignment. AAAI Sangmin Jo, Wootaek Jeong, Da-Woon Heo, Yoohwan Hwang, Heung-Il Suk
2026	J	`jnl`	HyFI: Hyperbolic Feature Interpolation for Brain-Vision Alignment. CoRR Sangmin Jo, Wootaek Jeong, Da-Woon Heo, Yoohwan Hwang, Heung-Il Suk
2026	—	`ed.`	Machine Learning in Medical Imaging - 16th International Workshop, MLMI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings MLMI@MICCAI Zhiming Cui, Islem Rekik, Heung-Il Suk, Xi Ouyang, Kaicong Sun, Sheng Wang
2026	J	`jnl`	Permutation-Equivariant 2D State Space Models: Theory and Canonical Architecture for Multivariate Time Series. CoRR Seungwoo Jeong, Heung-Il Suk
2026	J	`jnl`	Transferring ultrahigh-field representations for intensity-guided brain segmentation of low-field magnetic resonance imaging. Pattern Recognit. Kwanseok Oh, Jieun Lee, Da-Woon Heo, Dinggang Shen, Heung-Il Suk
2025	J	`jnl`	A quantitatively interpretable model for Alzheimer's disease prediction using deep counterfactuals. NeuroImage Kwanseok Oh, Da-Woon Heo, Ahmad Wisnu Mulyadi, Wonsik Jung, Eunsong Kang, Kun Ho Lee, Heung-Il Suk
2025	J	`jnl`	ADT²R: Adaptive Decision Transformer for Dynamic Treatment Regimes in Sepsis. IEEE Trans. Neural Networks Learn. Syst. Eunjin Jeon, Jaehun Choi, Heung-Il Suk
2025	J	`jnl`	Deep Geometric Learning With Monotonicity Constraints for Alzheimer's Disease Progression. IEEE Trans. Neural Networks Learn. Syst. Seungwoo Jeong, Wonsik Jung, Junghyo Sohn, Heung-Il Suk
2025	—	`conf`	Diff-RRG: Longitudinal Disease-Wise Patch Difference as Guidance for LLM-Based Radiology Report Generation. MICCAI (7) Hannah Yun, Junyeong Maeng, Eunsong Kang, Heung-Il Suk
2025	—	`conf`	Energy-Guided Topology Mamba for EEG-Based BCI. BCI Seungwoo Jeong, Jaehyun Jeon, Heung-Il Suk
2025	A*	`conf`	ExpertDiff: Head-less Model Reprogramming with Diffusion Classifiers for Out-of-Distribution Generalization. IJCAI Jee Seok Yoon, Junghyo Sohn, Wootaek Jeong, Heung-Il Suk
2025	A	`conf`	Frequency-Conditioned Diffusion Models for Time Series Generation. CIKM Seungwoo Jeong, Junghyo Sohn, Jaehyun Jeon, Heung-Il Suk
2025	J	`jnl`	IdenBAT: Disentangled representation learning for identity-preserved brain age transformation. Artif. Intell. Medicine Junyeong Maeng, Kwanseok Oh, Wonsik Jung, Heung-Il Suk
2025	J	`jnl`	MEASURE: Multi-scale Minimal Sufficient Representation Learning for Domain Generalization in Sleep Staging. CoRR Sangmin Jo, Jee Seok Yoon, Wootaek Jeong, Kwanseok Oh, Heung-Il Suk
2025	A	`conf`	Parameter-Efficient Transfer Learning for EEG Foundation Models via Task-Relevant Feature Focusing. CIKM Jaehyun Jeon, Seungwoo Jeong, Yeajin Shon, Heung-Il Suk
2025	A	`conf`	Quantized Factor Identifiable Causal Effect Variational Autoencoder. CIKM Sujeong Song, Junghyo Sohn, Eunsong Kang, Heung-Il Suk
2024	J	`jnl`	A Learnable Counter-Condition Analysis Framework for Functional Connectivity-Based Neurological Disorder Diagnosis. IEEE Trans. Medical Imaging Eunsong Kang, Da-Woon Heo, Jiwon Lee, Heung-Il Suk
2024	—	`conf`	BrainWaveNet: Wavelet-Based Transformer for Autism Spectrum Disorder Diagnosis. MICCAI (2) Ah-Yeong Jeong, Da-Woon Heo, Eunsong Kang, Heung-Il Suk
2024	J	`jnl`	Deep Efficient Continuous Manifold Learning for Time Series Modeling. IEEE Trans. Pattern Anal. Mach. Intell. Seungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi, Heung-Il Suk
2024	J	`jnl`	Domain Generalization for Medical Image Analysis: A Review. Proc. IEEE Jee Seok Yoon, Kwanseok Oh, Yooseung Shin, Maciej A. Mazurowski, Heung-Il Suk
2024	J	`jnl`	DyMix: Dynamic Frequency Mixup Scheduler based Unsupervised Domain Adaptation for Enhancing Alzheimer's Disease Identification. CoRR Yooseung Shin, Kwanseok Oh, Heung-Il Suk
2024	J	`jnl`	EAG-RS: A Novel Explainability-Guided ROI-Selection Framework for ASD Diagnosis via Inter-Regional Relation Learning. IEEE Trans. Medical Imaging Wonsik Jung, Eunjin Jeon, Eunsong Kang, Heung-Il Suk
2024	J	`jnl`	EEG-Oriented Self-Supervised Learning With Triple Information Pathways Network. IEEE Trans. Cybern. Wonjun Ko, Seungwoo Jeong, Sa-Kwang Song, Heung-Il Suk
2024	Misc	`conf`	Eigendecomposition-Based Spatial-Temporal Attention for Brain Cognitive States Identification. ICASSP Jiwon Lee, Eunsong Kang, Junyeong Maeng, Heung-Il Suk
2024	—	`conf`	Enhancing EEG Domain Generalization via Weighted Contrastive Learning. BCI Sangmin Jo, Seungwoo Jeong, Jaehyun Jeon, Heung-Il Suk
2024	J	`jnl`	FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation. CoRR Kwanseok Oh, Eunjin Jeon, Da-Woon Heo, Yooseung Shin, Heung-Il Suk
2024	J	`jnl`	IdenBAT: Disentangled Representation Learning for Identity-Preserved Brain Age Transformation. CoRR Junyeong Maeng, Kwanseok Oh, Wonsik Jung, Heung-Il Suk
2024	J	`jnl`	Medical Transformer: Universal Encoder for 3-D Brain MRI Analysis. IEEE Trans. Neural Networks Learn. Syst. Eunji Jun, Seungwoo Jeong, Da-Woon Heo, Heung-Il Suk
2024	—	`conf`	Prototype-Guided Contrastive Knowledge Graph Representation Learning for Diagnosis Prediction. ICPRAI (1) Wooyeol Park, Ahmad Wisnu Mulyadi, Eunsong Kang, Heung-Il Suk
2024	J	`jnl`	Site-Invariant Meta-Modulation Learning for Multisite Autism Spectrum Disorders Diagnosis. IEEE Trans. Neural Networks Learn. Syst. Jaein Lee, Eunsong Kang, Da-Woon Heo, Heung-Il Suk
2024	J	`jnl`	Transferring Ultrahigh-Field Representations for Intensity-Guided Brain Segmentation of Low-Field Magnetic Resonance Imaging. CoRR Kwanseok Oh, Jieun Lee, Da-Woon Heo, Dinggang Shen, Heung-Il Suk
2024	—	`conf`	Unveiling Diagnostic Potential: EEG Microstate Representation Model for Alzheimer's Disease and Frontotemporal Dementia. BCI Jungye Kim, Seungwoo Jeong, Jaehyun Jeon, Heung-Il Suk
2023	J	`jnl`	A Learnable Counter-condition Analysis Framework for Functional Connectivity-based Neurological Disorder Diagnosis. CoRR Eunsong Kang, Da-Woon Heo, Jiwon Lee, Heung-Il Suk
2023	J	`jnl`	A Quantitatively Interpretable Model for Alzheimer's Disease Prediction Using Deep Counterfactuals. CoRR Kwanseok Oh, Da-Woon Heo, Ahmad Wisnu Mulyadi, Wonsik Jung, Eunsong Kang, Kun Ho Lee, Heung-Il Suk
2023	A	`conf`	Age-Aware Guidance via Masking-Based Attention in Face Aging. CIKM Junyeong Maeng, Kwanseok Oh, Heung-Il Suk
2023	—	`conf`	Channel-Aware Self-Supervised Learning for EEG-based BCI. BCI Sangmin Jo, Jaehyun Jeon, Seungwoo Jeong, Heung-Il Suk
2023	J	`jnl`	Deep Geometric Learning with Monotonicity Constraints for Alzheimer's Disease Progression. CoRR Seungwoo Jeong, Wonsik Jung, Junghyo Sohn, Heung-Il Suk
2023	J	`jnl`	Domain Generalization for Medical Image Analysis: A Survey. CoRR Jee Seok Yoon, Kwanseok Oh, Yooseung Shin, Maciej A. Mazurowski, Heung-Il Suk
2023	J	`jnl`	EAG-RS: A Novel Explainability-guided ROI-Selection Framework for ASD Diagnosis via Inter-regional Relation Learning. CoRR Wonsik Jung, Eunjin Jeon, Eunsong Kang, Heung-Il Suk
2023	J	`jnl`	Estimating explainable Alzheimer's disease likelihood map via clinically-guided prototype learning. NeuroImage Ahmad Wisnu Mulyadi, Wonsik Jung, Kwanseok Oh, Jee Seok Yoon, Kun Ho Lee, Heung-Il Suk
2023	—	`conf`	Frequency Mixup Manipulation Based Unsupervised Domain Adaptation for Brain Disease Identification. ACPR (3) Yooseung Shin, Junyeong Maeng, Kwanseok Oh, Heung-Il Suk
2023	J	`jnl`	KindMed: Knowledge-Induced Medicine Prescribing Network for Medication Recommendation. CoRR Ahmad Wisnu Mulyadi, Heung-Il Suk
2023	J	`jnl`	Learn-Explain-Reinforce: Counterfactual Reasoning and its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model. IEEE Trans. Pattern Anal. Mach. Intell. Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
2023	—	`conf`	Learning-based Sleep Quality Evaluation. BCI Seungwoo Jeong, Eunjin Jeon, Seungpyo Noh, Jinsool Lee, Hyungjin Kim, Seonguk Kim, Heung-Il Suk
2023	J	`jnl`	Mutual Information-Driven Subject-Invariant and Class-Relevant Deep Representation Learning in BCI. IEEE Trans. Neural Networks Learn. Syst. Eunjin Jeon, Wonjun Ko, Jee Seok Yoon, Heung-Il Suk
2023	—	`conf`	SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation. IPMI Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, Xiaoxiao Li
2023	J	`jnl`	TransSleep: Transitioning-Aware Attention-Based Deep Neural Network for Sleep Staging. IEEE Trans. Cybern. Jaeun Phyo, Wonjun Ko, Eunjin Jeon, Heung-Il Suk
2022	J	`jnl`	A Deep Generative-Discriminative Learning for Multimodal Representation in Imaging Genetics. IEEE Trans. Medical Imaging Wonjun Ko, Wonsik Jung, Eunjin Jeon, Heung-Il Suk
2022	—	`conf`	A Novel Knowledge Keeper Network for 7T-Free but 7T-Guided Brain Tissue Segmentation. MICCAI (5) Jieun Lee, Kwanseok Oh, Dinggang Shen, Heung-Il Suk
2022	J	`jnl`	A Novel RL-Assisted Deep Learning Framework for Task-Informative Signals Selection and Classification for Spontaneous BCIs. IEEE Trans. Ind. Informatics Wonjun Ko, Eunjin Jeon, Heung-Il Suk
2022	J	`jnl`	A Plug-in Method for Representation Factorization in Connectionist Models. IEEE Trans. Neural Networks Learn. Syst. Jee Seok Yoon, Myung-Cheol Roh, Heung-Il Suk
2022	—	`conf`	Continuous Riemannian Geometric Learning for Sleep Staging Classification. BCI Seungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi, Heung-Il Suk
2022	A*	`conf`	Deep Geometrical Learning for Alzheimer's Disease Progression Modeling. ICDM Seungwoo Jeong, Wonsik Jung, Junghyo Sohn, Heung-Il Suk
2022	A	`conf`	EEG-Oriented Self-Supervised Learning and Cluster-Aware Adaptation. CIKM Wonjun Ko, Heung-Il Suk
2022	Misc	`conf`	Enhancing Contextual Encoding With Stage-Confusion and Stage-Transition Estimation for EEG-Based Sleep Staging. ICASSP Jaeun Phyo, Wonjun Ko, Eunjin Jeon, Heung-Il Suk
2022	J	`jnl`	Multi-View Integrative Attention-Based Deep Representation Learning for Irregular Clinical Time-Series Data. IEEE J. Biomed. Health Informatics Yurim Lee, Eunji Jun, Jaehun Choi, Heung-Il Suk
2022	—	`conf`	Prototype Learning of Inter-network Connectivity for ASD Diagnosis and Personalized Analysis. MICCAI (3) Eunsong Kang, Da-Woon Heo, Heung-Il Suk
2022	J	`jnl`	SADM: Sequence-Aware Diffusion Model for Longitudinal Medical Image Generation. CoRR Jee Seok Yoon, Chenghao Zhang, Heung-Il Suk, Jia Guo, Xiaoxiao Li
2022	J	`jnl`	TransSleep: Transitioning-aware Attention-based Deep Neural Network for Sleep Staging. CoRR Jaeun Phyo, Wonjun Ko, Eunjin Jeon, Heung-Il Suk
2022	J	`jnl`	Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series. IEEE Trans. Cybern. Ahmad Wisnu Mulyadi, Eunji Jun, Heung-Il Suk
2022	J	`jnl`	XADLiME: eXplainable Alzheimer's Disease Likelihood Map Estimation via Clinically-guided Prototype Learning. CoRR Ahmad Wisnu Mulyadi, Wonsik Jung, Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
2021	J	`jnl`	A unified framework for personalized regions selection and functional relation modeling for early MCI identification. NeuroImage Jiyeon Lee, Wonjun Ko, Eunsong Kang, Heung-Il Suk, Alzheimer's Disease Neuroimaging Initiative
2021	J	`jnl`	Deep Joint Learning of Pathological Region Localization and Alzheimer's Disease Diagnosis. CoRR Changhyun Park, Heung-Il Suk
2021	J	`jnl`	Deep recurrent model for individualized prediction of Alzheimer's disease progression. NeuroImage Wonsik Jung, Eunji Jun, Heung-Il Suk, Alzheimer's Disease Neuroimaging Initiative
2021	A*	`conf`	ENGINE: Enhancing Neuroimaging and Genetic Information by Neural Embedding. ICDM Wonjun Ko, Wonsik Jung, Eunjin Jeon, Ahmad Wisnu Mulyadi, Heung-Il Suk
2021	J	`jnl`	Efficient Continuous Manifold Learning for Time Series Modeling. CoRR Seungwoo Jeong, Wonjun Ko, Ahmad Wisnu Mulyadi, Heung-Il Suk
2021	J	`jnl`	Electrophysiological Decoding of Spatial and Color Processing in Human Prefrontal Cortex. NeuroImage Byoung-Kyong Min, Hyun Seok Kim, Wonjun Ko, Min-Hee Ahn, Heung-Il Suk, Dimitrios Pantazis, Robert T. Knight
2021	J	`jnl`	Fine-Grained Attention for Weakly Supervised Object Localization. CoRR Junghyo Sohn, Eunjin Jeon, Wonsik Jung, Eunsong Kang, Heung-Il Suk
2021	—	`conf`	Fine-grained Temporal Attention Network for EEG-based Seizure Detection. BCI Seungwoo Jeong, Eunjin Jeon, Wonjun Ko, Heung-Il Suk
2021	—	`conf`	Inter-regional High-Level Relation Learning from Functional Connectivity via Self-supervision. MICCAI (2) Wonsik Jung, Da-Woon Heo, Eunjin Jeon, Jaein Lee, Heung-Il Suk
2021	J	`jnl`	Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model. CoRR Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
2021	J	`jnl`	Medical Transformer: Universal Brain Encoder for 3D MRI Analysis. CoRR Eunji Jun, Seungwoo Jeong, Da-Woon Heo, Heung-Il Suk
2021	—	`conf`	Meta-modulation Network for Domain Generalization in Multi-site fMRI Classification. MICCAI (5) Jaein Lee, Eunsong Kang, Eunjin Jeon, Heung-Il Suk
2021	J	`jnl`	Multi-Scale Neural Network for EEG Representation Learning in BCI. IEEE Comput. Intell. Mag. Wonjun Ko, Eunjin Jeon, Seungwoo Jeong, Heung-Il Suk
2021	J	`jnl`	Multi-view Integration Learning for Irregularly-sampled Clinical Time Series. CoRR Yurim Lee, Eunji Jun, Heung-Il Suk
2021	—	`conf`	Spectro-Spatio-Temporal EEG Representation Learning for Imagined Speech Recognition. ACPR (2) Wonjun Ko, Eunjin Jeon, Heung-Il Suk
2021	J	`jnl`	Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction. IEEE Trans. Neural Networks Learn. Syst. Eunji Jun, Ahmad Wisnu Mulyadi, Jaehun Choi, Heung-Il Suk
2020	J	`jnl`	A Novel RL-assisted Deep Learning Framework for Task-informative Signals Selection and Classification for Spontaneous BCIs. CoRR Wonjun Ko, Eunjin Jeon, Heung-Il Suk
2020	J	`jnl`	Born Identity Network: Multi-way Counterfactual Map Generation to Explain a Classifier's Decision. CoRR Kwanseok Oh, Jee Seok Yoon, Heung-Il Suk
2020	J	`jnl`	Deep Recurrent Disease Progression Model for Conversion-Time Prediction of Alzheimer's Disease. CoRR Wonsik Jung, Eunji Jun, Heung-Il Suk
2020	—	`conf`	Enriched Representation Learning in Resting-State fMRI for Early MCI Diagnosis. MICCAI (7) Eunjin Jeon, Eunsong Kang, Jiyeon Lee, Jaein Lee, Tae-Eui Kam, Heung-Il Suk
2020	J	`jnl`	Leveraging Coupled Interaction for Multimodal Alzheimer's Disease Diagnosis. IEEE Trans. Neural Networks Learn. Syst. Yinghuan Shi, Heung-Il Suk, Yang Gao, Seong-Whan Lee, Dinggang Shen
2020	J	`jnl`	Multi-Scale Neural network for EEG Representation Learning in BCI. CoRR Wonjun Ko, Eunjin Jeon, Seungwoo Jeong, Heung-Il Suk
2020	J	`jnl`	Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series. CoRR Ahmad Wisnu Mulyadi, Eunji Jun, Heung-Il Suk
2020	J	`jnl`	Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction. CoRR Eunji Jun, Ahmad Wisnu Mulyadi, Jaehun Choi, Heung-Il Suk
2020	—	`conf`	VIGNet: A Deep Convolutional Neural Network for EEG-based Driver Vigilance Estimation. BCI Wonjun Ko, Kwanseok Oh, Eunjin Jeon, Heung-Il Suk
2019	—	`conf`	Domain Adaptation with Source Selection for Motor-Imagery based BCI. BCI Eunjin Jeon, Wonjun Ko, Heung-Il Suk
2019	J	`jnl`	Group sparse reduced rank regression for neuroimaging genetic study. World Wide Web Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen
2019	J	`jnl`	Low-rank dimensionality reduction for multi-modality neurodegenerative disease identification. World Wide Web Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen
2019	—	`ed.`	Machine Learning in Medical Imaging - 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings MLMI@MICCAI Heung-Il Suk, Mingxia Liu, Pingkun Yan, Chunfeng Lian
2019	J	`jnl`	Modeling regional dynamics in low-frequency fluctuation and its application to Autism spectrum disorder diagnosis. NeuroImage Eunji Jun, Eunsong Kang, Jaehun Choi, Heung-Il Suk
2019	J	`jnl`	Multi-scale gradual integration CNN for false positive reduction in pulmonary nodule detection. Neural Networks Bum-Chae Kim, Jee Seok Yoon, Jun-Sik Choi, Heung-Il Suk
2019	J	`jnl`	Plug-in Factorization for Latent Representation Disentanglement. CoRR Jee Seok Yoon, Wonjun Ko, Heung-Il Suk
2019	—	`conf`	Semi-Supervised Deep Adversarial Learning for Brain-Computer Interface. BCI Wonjun Ko, Eunjin Jeon, Jiyeon Lee, Heung-Il Suk
2019	J	`jnl`	Special issue on machine learning in medical imaging. Comput. Medical Imaging Graph. Li Wang, Yinghuan Shi, Heung-Il Suk, J. Alison Noble, Ghassan Hamarneh
2019	B	`conf`	Stochastic Imputation and Uncertainty-Aware Attention to EHR for Mortality Prediction. IJCNN Eunji Jun, Ahmad Wisnu Mulyadi, Heung-Il Suk
2019	J	`jnl`	Toward Subject Invariant and Class Disentangled Representation in BCI via Cross-Domain Mutual Information Estimator. CoRR Eunjin Jeon, Wonjun Ko, Jee Seok Yoon, Heung-Il Suk
2019	J	`jnl`	Toward an interpretable Alzheimer's disease diagnostic model with regional abnormality representation via deep learning. NeuroImage Eunho Lee, Jun-Sik Choi, Minjeong Kim, Heung-Il Suk, Alzheimer's Disease Neuroimaging Initiative
2019	—	`conf`	Unified Modeling of Imputation, Forecasting, and Prediction for AD Progression. MICCAI (4) Wonsik Jung, Ahmad Wisnu Mulyadi, Heung-Il Suk
2018	—	`conf`	Deep recurrent spatio-temporal neural network for motor imagery based BCI. BCI Wonjun Ko, Jee Seok Yoon, Eunsong Kang, Eunji Jun, Jun-Sik Choi, Heung-Il Suk
2018	—	`ed.`	Machine Learning in Medical Imaging - 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings MLMI@MICCAI Yinghuan Shi, Heung-Il Suk, Mingxia Liu
2018	J	`jnl`	Multi-Scale Gradual Integration CNN for False Positive Reduction in Pulmonary Nodule Detection. CoRR Bum-Chae Kim, Jun-Sik Choi, Heung-Il Suk
2018	—	`conf`	Probabilistic Source Separation on Resting-State fMRI and Its Use for Early MCI Identification. MICCAI (3) Eunsong Kang, Heung-Il Suk
2018	—	`conf`	Regional Abnormality Representation Learning in Structural MRI for AD/MCI Diagnosis. MLMI@MICCAI Jun-Sik Choi, Eunho Lee, Heung-Il Suk
2017	J	`jnl`	A novel relational regularization feature selection method for joint regression and classification in AD diagnosis. Medical Image Anal. Xiaofeng Zhu, Heung-Il Suk, Li Wang, Seong-Whan Lee, Dinggang Shen
2017	—	`ch.`	An Introduction to Neural Networks and Deep Learning. Deep Learning for Medical Image Analysis Heung-Il Suk
2017	J	`jnl`	Deep ensemble learning of sparse regression models for brain disease diagnosis. Medical Image Anal. Heung-Il Suk, Seong-Whan Lee, Dinggang Shen
2017	J	`jnl`	Individual Identification Using Cognitive Electroencephalographic Neurodynamics. IEEE Trans. Inf. Forensics Secur. Byoung-Kyong Min, Heung-Il Suk, Min-Hee Ahn, Min-Ho Lee, Seong-Whan Lee
2017	J	`jnl`	Low-Rank Graph-Regularized Structured Sparse Regression for Identifying Genetic Biomarkers. IEEE Trans. Big Data Xiaofeng Zhu, Heung-Il Suk, Heng Huang, Dinggang Shen
2017	—	`ed.`	Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings MLMI@MICCAI Qian Wang, Yinghuan Shi, Heung-Il Suk, Kenji Suzuki
2017	—	`conf`	Region-Wise Stochastic Pattern Modeling for Autism Spectrum Disorder Identification and Temporal Dynamics Analysis. CNI@MICCAI Eunji Jun, Heung-Il Suk
2016	—	`conf`	An empirical suggestion for collaborative learning in motor imagery-based BCIs. BCI Eunsong Kang, Bum-Chae Kim, Heung-Il Suk
2016	—	`conf`	Deep Ensemble Sparse Regression Network for Alzheimer's Disease Diagnosis. MLMI@MICCAI Heung-Il Suk, Dinggang Shen
2016	—	`conf`	Deep feature learning for pulmonary nodule classification in a lung CT. BCI Bum-Chae Kim, Yu Sub Sung, Heung-Il Suk
2016	—	`conf`	Joint Discriminative and Representative Feature Selection for Alzheimer's Disease Diagnosis. MLMI@MICCAI Xiaofeng Zhu, Heung-Il Suk, Kim-Han Thung, Yingying Zhu, Guorong Wu, Dinggang Shen
2016	—	`ed.`	Machine Learning in Medical Imaging - 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings MLMI@MICCAI Li Wang, Ehsan Adeli, Qian Wang, Yinghuan Shi, Heung-Il Suk
2016	J	`jnl`	Sparse Multi-Response Tensor Regression for Alzheimer's Disease Study With Multivariate Clinical Assessments. IEEE Trans. Medical Imaging Zhou Li, Heung-Il Suk, Dinggang Shen, Lexin Li
2016	J	`jnl`	State-space model with deep learning for functional dynamics estimation in resting-state fMRI. NeuroImage Heung-Il Suk, Chong-Yaw Wee, Seong-Whan Lee, Dinggang Shen
2016	—	`conf`	Structured Sparse Low-Rank Regression Model for Brain-Wide and Genome-Wide Associations. MICCAI (1) Xiaofeng Zhu, Heung-Il Suk, Heng Huang, Dinggang Shen
2016	J	`jnl`	Subspace Regularized Sparse Multitask Learning for Multiclass Neurodegenerative Disease Identification. IEEE Trans. Biomed. Eng. Xiaofeng Zhu, Heung-Il Suk, Seong-Whan Lee, Dinggang Shen
2015	—	`conf`	A Hybrid of Deep Network and Hidden Markov Model for MCI Identification with Resting-State fMRI. MICCAI (1) Heung-Il Suk, Seong-Whan Lee, Dinggang Shen
2015	—	`conf`	Combined regression and classification approach for prediction of driver's braking intention. BCI Jeong-Woo Kim, Heung-Il Suk, Jong-Pil Kim, Seong-Whan Lee
2015	J	`jnl`	Motion Influence Map for Unusual Human Activity Detection and Localization in Crowded Scenes. IEEE Trans. Circuits Syst. Video Technol. Dong-Gyu Lee, Heung-Il Suk, Sung-Kee Park, Seong-Whan Lee
2015	—	`conf`	Multi-view Classification for Identification of Alzheimer's Disease. MLMI Xiaofeng Zhu, Heung-Il Suk, Yonghua Zhu, Kim-Han Thung, Guorong Wu, Dinggang Shen
2015	J	`jnl`	Supervised Discriminative Group Sparse Representation for Mild Cognitive Impairment Diagnosis. Neuroinformatics Heung-Il Suk, Chong-Yaw Wee, Seong-Whan Lee, Dinggang Shen
2014	—	`conf`	A Novel Multi-relation Regularization Method for Regression and Classification in AD Diagnosis. MICCAI (3) Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen
2014	J	`jnl`	A novel matrix-similarity based loss function for joint regression and classification in AD diagnosis. NeuroImage Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen
2014	—	`conf`	Clustering-Induced Multi-task Learning for AD/MCI Classification. MICCAI (3) Heung-Il Suk, Dinggang Shen
2014	—	`conf`	Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis. MICCAI (3) Rongjian Li, Wenlu Zhang, Heung-Il Suk, Li Wang, Jiang Li, Dinggang Shen, Shuiwang Ji
2014	J	`jnl`	Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis. NeuroImage Heung-Il Suk, Seong-Whan Lee, Dinggang Shen
2014	A*	`conf`	Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis. CVPR Yinghuan Shi, Heung-Il Suk, Yang Gao, Dinggang Shen
2014	A*	`conf`	Matrix-Similarity Based Loss Function and Feature Selection for Alzheimer's Disease Diagnosis. CVPR Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen
2014	B	`conf`	Modeling crowd motions for abnormal activity detection. AVSS Dong-Gyu Lee, Heung-Il Suk, Seong-Whan Lee
2014	—	`conf`	Multi-modality Canonical Feature Selection for Alzheimer's Disease Diagnosis. MICCAI (2) Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen
2014	—	`conf`	Online Discriminative Multi-atlas Learning for Isointense Infant Brain Segmentation. MLMI Xuchu Wang, Li Wang, Heung-Il Suk, Dinggang Shen
2014	—	`conf`	Sparse Discriminative Feature Selection for Multi-class Alzheimer's Disease Classification. MLMI Xiaofeng Zhu, Heung-Il Suk, Dinggang Shen
2014	B	`conf`	View-Invariant 3D Action Recognition Using Spatiotemporal Self-Similarities from Depth Camera. ICPR Areum Lee, Heung-Il Suk, Seong-Whan Lee
2013	—	`conf`	A Bayesian approach for spatio-spectral filter optimization in BCI. BCI Heung-Il Suk, Seong-Whan Lee
2013	J	`jnl`	A Novel Bayesian Framework for Discriminative Feature Extraction in Brain-Computer Interfaces. IEEE Trans. Pattern Anal. Mach. Intell. Heung-Il Suk, Seong-Whan Lee
2013	—	`conf`	Crowd Behavior Representation Using Motion Influence Matrix for Anomaly Detection. ACPR Dong-Gyu Lee, Heung-Il Suk, Seong-Whan Lee
2013	—	`conf`	Deep Learning-Based Feature Representation for AD/MCI Classification. MICCAI (2) Heung-Il Suk, Dinggang Shen
2013	—	`conf`	Discriminative Group Sparse Representation for Mild Cognitive Impairment Classification. MLMI Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen
2013	—	`conf`	Eeg-based person authentication using face stimuli. BCI Seul-Ki Yeom, Heung-Il Suk, Seong-Whan Lee
2013	—	`conf`	High-Order Graph Matching Based Feature Selection for Alzheimer's Disease Identification. MICCAI (2) Feng Liu, Heung-Il Suk, Chong-Yaw Wee, Huafu Chen, Dinggang Shen
2013	—	`conf`	Integrating Multiple Network Properties for MCI Identification. MLMI Biao Jie, Daoqiang Zhang, Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen
2013	—	`conf`	Multi-task Sparse Classifier for Diagnosis of MCI Conversion to AD with Longitudinal MR Images. MLMI Manhua Liu, Heung-Il Suk, Dinggang Shen
2013	—	`conf`	Non-homogeneous spatial filter optimization for EEG-based brain-computer interfaces. BCI Tae-Eui Kam, Heung-Il Suk, Seong-Whan Lee
2013	J	`jnl`	Non-homogeneous spatial filter optimization for ElectroEncephaloGram (EEG)-based motor imagery classification. Neurocomputing Tae-Eui Kam, Heung-Il Suk, Seong-Whan Lee
2013	J	`jnl`	Person authentication from neural activity of face-specific visual self-representation. Pattern Recognit. Seul-Ki Yeom, Heung-Il Suk, Seong-Whan Lee
2012	J	`jnl`	Accelerating generalized Iterative Scaling Based on Staggered Aitken Method for on-Line Conditional Random Fields. Int. J. Wavelets Multiresolution Inf. Process. Hee-Deok Yang, Heung-Il Suk, Seong-Whan Lee
2012	J	`jnl`	Biased Manifold Learning for View Invariant Body Pose Estimation. Int. J. Wavelets Multiresolution Inf. Process. Dongcheol Hur, Heung-Il Suk, Christian Wallraven, Seong-Whan Lee
2012	J	`jnl`	Incremental Sparse Pseudo-input Gaussian Process Regression. Int. J. Pattern Recognit. Artif. Intell. Heung-Il Suk, Yuzhuo Wang, Seong-Whan Lee
2012	B	`conf`	Online learning of sparse pseudo-input Gaussian Process. SMC Heung-Il Suk, Yuzhuo Wang, Seong-Whan Lee
2011	J	`jnl`	A Network of Dynamic Probabilistic Models for Human Interaction Analysis. IEEE Trans. Circuits Syst. Video Technol. Heung-Il Suk, Anil K. Jain, Seong-Whan Lee
2011	B	`conf`	A probabilistic approach to spatio-spectral filters optimization in Brain-Computer Interface. SMC Heung-Il Suk, Seong-Whan Lee
2011	—	`conf`	Data-Driven Frequency Bands Selection in EEG-Based Brain-Computer Interface. PRNI Heung-Il Suk, Seong-Whan Lee
2011	J	`jnl`	Subject and class specific frequency bands selection for multiclass motor imagery classification. Int. J. Imaging Syst. Technol. Heung-Il Suk, Seong-Whan Lee
2010	J	`jnl`	Hand gesture recognition based on dynamic Bayesian network framework. Pattern Recognit. Heung-Il Suk, Bong-Kee Sin, Seong-Whan Lee
2009	A	`conf`	Analyzing human interactions with a network of dynamic probabilistic models. WACV Heung-Il Suk, Bong-Kee Sin, Seong-Whan Lee
2008	B	`conf`	Recognizing hand gestures using dynamic Bayesian network. FG Heung-Il Suk, Bong-Kee Sin, Seong-Whan Lee
2008	B	`conf`	Robust modeling and recognition of hand gestures with dynamic Bayesian network. ICPR Heung-Il Suk, Bong-Kee Sin, Seong-Whan Lee
2006	—	`conf`	HMM-Based Gait Recognition with Human Profiles. SSPR/SPR Heung-Il Suk, Bong-Kee Sin