Department of Brain and Cognitive Engineering

Research output

Research output per year 1979 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2024

• 155082 Citations
• 176 h-index
• 1617 Article
• 883 Conference contribution
• 62 Conference article
• 54 Chapter
• 163 More
  • 45 Paper
  • 40 Editorial
  • 38 Review article
  • 25 Comment/debate
  • 8 Foreword/postscript
  • 5 Letter
  • 2 Book

Research output per year

Research output per year

Search results

• 2024

  Binaural Beats Modulated Affected Emotions: Evidence From Simultaneous Electroencephalography-Functional MRI Study

  Lee, C., Kang, J. E. & Lee, J. H., 2024, 12th International Winter Conference on Brain-Computer Interface, BCI 2024. Institute of Electrical and Electronics Engineers Inc., (International Winter Conference on Brain-Computer Interface, BCI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Functional Magnetic Resonance Imaging 100%
  • Electroencephalography 100%
  • Mood 100%
  • Cognitive Performance 50%
  • Emotional Ratings 50%

• Enhanced inhibitory control after out-of-phase theta tACS between the lDLPFC and dACC

  Kim, Y., Lee, J. H., Yun, S., Yang, J., Park, J. C., Kwon, J., Seo, J. & Min, B. K., 2024, 12th International Winter Conference on Brain-Computer Interface, BCI 2024. Institute of Electrical and Electronics Engineers Inc., (International Winter Conference on Brain-Computer Interface, BCI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Inhibitory Control 100%
  • Dorsolateral Prefrontal Cortex 100%
  • Anterior Cingulate Cortex 100%
  • Transcranial Alternating Current Stimulation 100%
  • Performance Task 33%

• Enhancing Everyday Seizure Detection: A Channel Reduction Approach

  Kim, M., Jo, D., Wang, I. N., Kim, H., Kim, J. B. & Kim, D. J., 2024, 12th International Winter Conference on Brain-Computer Interface, BCI 2024. Institute of Electrical and Electronics Engineers Inc., (International Winter Conference on Brain-Computer Interface, BCI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Cross-Validation 100%
  • Neurologic Disease 100%
  • Epilepsy 100%
  • Neurological Disorder 100%
  • Empirical Mode Decomposition 25%

• Integrated Convolutional and Graph Attention Neural Networks for Electroencephalography

  Kang, J. E., Lee, C. & Lee, J. H., 2024, 12th International Winter Conference on Brain-Computer Interface, BCI 2024. Institute of Electrical and Electronics Engineers Inc., (International Winter Conference on Brain-Computer Interface, BCI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Electroencephalography 100%
  • Neural Network 100%
  • Graph Attention Neural Network 100%
  • Convolutional Attention Neural Networks 100%
  • Brain-Computer Interface 20%
• 2023

  Cross Encoding as Augmentation: Towards Effective Educational Text Classification

  Lee, H. S., Choi, S., Lee, Y., Moon, H., Oh, S., Jeong, M., Go, H. & Wallraven, C., 2023, Findings of the Association for Computational Linguistics, ACL 2023. Association for Computational Linguistics (ACL), p. 2184-2195 12 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Educational Texts 100%
  • Text Classification 100%
  • Auto-tagging 66%
  • Bi-encoder 33%
  • Cross-encoder 33%
  1 Citation (Scopus)

• Differentiating changes in movement-related EEG response induced by transcranial direct current stimulation using convolutional neural network

  Jeong, J. H., Sung, D. J., Kim, K. T., Kim, D. J. & Kim, H., 2023, 2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Neural Network 100%
  • Electroencephalography 100%
  • Transcranial Direct Current Stimulation 100%
  • Foot Tapping 25%
  • Neuronal Excitability 12%

• EEG-Based Multioutput Classification of Sleep Stage and Apnea Using Deep Learning

  Jo, D., Lee, C. H., Kim, H., Kim, H., Kim, J. B. & Kim, D. J., 2023, 11th International Winter Conference on Brain-Computer Interface, BCI 2023. Institute of Electrical and Electronics Engineers Inc., (International Winter Conference on Brain-Computer Interface, BCI; vol. 2023-February).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Electroencephalography 100%
  • Sleep Stage 100%
  • Multi-output Classification 100%
  • Sleep Quality 50%
  • Polysomnography 33%
  1 Citation (Scopus)

• Interpretability of Hybrid Feature Using Graph Neural Networks from Mental Arithmetic Based EEG

  Jung, M. K., Kim, H., Lee, S., Kim, J. B. & Kim, D. J., 2023, 11th International Winter Conference on Brain-Computer Interface, BCI 2023. Institute of Electrical and Electronics Engineers Inc., (International Winter Conference on Brain-Computer Interface, BCI; vol. 2023-February).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Interpretability 100%
  • Graph Neural Network 100%
  • Electroencephalogram 100%
  • Spectroscopy 80%
  • Power Spectral Density 57%
  2 Citations (Scopus)

• Subject-Transfer with Subject-Specific Fine-Tuning Based on Multi-Model CNN for Motor Imagery Brain-Computer Interface

  Jeong, J. H., Sung, D. J., Kim, K. T., Lee, S. J., Kim, D. J. & Kim, H., 2023, 11th International Winter Conference on Brain-Computer Interface, BCI 2023. Institute of Electrical and Electronics Engineers Inc., (International Winter Conference on Brain-Computer Interface, BCI; vol. 2023-February).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Subject-specific 100%
  • Subject Transfer 100%
  • Convolutional Neural Network 100%
  • Motor Imagery Brain-computer Interface 100%
  • Multi-model 100%
  1 Citation (Scopus)
• 2022

  CNN-based Subject-Transfer Approach for Training Minimized Lower-Limb MI-BCIs

  Jeong, J. H., Kim, K. T., Lee, S. J., Kim, D. J. & Kim, H., 2022, 10th International Winter Conference on Brain-Computer Interface, BCI 2022. Institute of Electrical and Electronics Engineers Inc., (International Winter Conference on Brain-Computer Interface, BCI; vol. 2022-February).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Neural Network 100%
  • Subject Transfer 100%
  • Convolutional Neural Network 100%
  • Transfer Approach 100%
  • Motor Imagery Brain-computer Interface 100%
  3 Citations (Scopus)

• Cognitive modeling using multivariate multiscale entropy analysis of EEG: entropy changes according to auditory inputs and the level of attention

  Kim, D. Y., Heo, J. W., Kim, Y. T., Kim, J. B. & Kim, D. J., 2022, 2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022. Institute of Electrical and Electronics Engineers Inc., (2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Multivariate multiscale Entropy 100%
  • Multiscale Entropy Analysis 100%
  • Entropy Change 100%
  • Random Signal 100%
  • Electroencephalogram 100%

• Comparing Facial Expression Recognition in Humans and Machines: Using CAM, GradCAM, and Extremal Perturbation

  Park, S. & Wallraven, C., 2022, Pattern Recognition - 6th Asian Conference, ACPR 2021, Revised Selected Papers. Wallraven, C., Liu, Q. & Nagahara, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 403-416 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13188 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Face Perception 100%
  • Neural Network 40%
  • Attention Patterns 40%
  • Face 20%
  • Two-Alternative Forced Choice 20%
  3 Citations (Scopus)

• Contextual modulation of affect: Comparing humans and deep neural networks

  Shin, S., Kim, D. Y. & Wallraven, C., 2022 Nov 7, ICMI 2022 - Companion Publication of the 2022 International Conference on Multimodal Interaction. Association for Computing Machinery, p. 127-133 7 p. (ACM International Conference Proceeding Series).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Neural Network 100%
  • Human Neural Networks 100%
  • Network Model 66%
  • Facial Expression 33%
  • Emotion Processing 33%
  2 Citations (Scopus)

• Do Pre-processing and Augmentation Help Explainability? A Multi-seed Analysis for Brain Age Estimation

  Cho, D. & Wallraven, C., 2022, Interpretability of Machine Intelligence in Medical Image Computing - 5th International Workshop, iMIMIC 2022, Held in Conjunction with MICCAI 2022, Proceedings. Reyes, M., Henriques Abreu, P. & Cardoso, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 12-21 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13611 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Preprocessing 100%
  • Learning Algorithm 100%
  • Black Box 100%
  • Seed Analysis 100%
  • Deep Learning 50%
  1 Citation (Scopus)

• Explainable machine learning for memory-related decoding via TabNet and non-linear features^∗

  Mametkulov, M., Artykbayev, A., Koishigarina, D., Kenessova, A., Razikhova, K., Kang, T., Wallraven, C. & Fazli, S., 2022, 10th International Winter Conference on Brain-Computer Interface, BCI 2022. Institute of Electrical and Electronics Engineers Inc., (International Winter Conference on Brain-Computer Interface, BCI; vol. 2022-February).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Linear Feature 100%
  • Explainable Artificial Intelligence 100%
  • TabNet 100%
  • Aluminum Glycinate 100%
  • Feature Selection 50%
  1 Citation (Scopus)

• Importance of the Quantitative Change of EEG Theta/Beta Ratio Between Preparation and Motor Imagery: Correlation with the Performance of Classification

  Hyung, J. W., Lee, S., Kim, H. & Kim, D. J., 2022, 10th International Winter Conference on Brain-Computer Interface, BCI 2022. Institute of Electrical and Electronics Engineers Inc., (International Winter Conference on Brain-Computer Interface, BCI; vol. 2022-February).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Theta-beta Ratio 100%
  • Imagery Correlation 100%
  • Brain-Computer Interface 100%
  • Electroencephalography 100%
  • Index Change 100%
  1 Citation (Scopus)

• Label Quality in AffectNet: Results of Crowd-Based Re-annotation

  Kim, D. Y. & Wallraven, C., 2022, Pattern Recognition - 6th Asian Conference, ACPR 2021, Revised Selected Papers. Wallraven, C., Liu, Q. & Nagahara, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 518-531 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13189 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • AffectNet 100%
  • Crowd-based 100%
  • Annotation 100%
  • Facial Expression 33%
  • Affective Computing 33%
  1 Citation (Scopus)

• Novel Biomarker Based on Hemispheric Differences in Brain Connectivity for Diagnosis of Depression

  Park, J. S., Jo, D., Lee, S., Kim, Y. T., Kim, J. B. & Kim, D. J., 2022, 2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022. Institute of Electrical and Electronics Engineers Inc., (2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Novel Biomarkers 100%
  • Brain Connectivity 100%
  • New Biomarkers 100%
  • Hemispheric Differences 100%
  • Depression Diagnosis 100%

• Paperswithtopic: Topic Identification from Paper Title Only

  Cho, D. & Wallraven, C., 2022, Pattern Recognition - 6th Asian Conference, ACPR 2021, Revised Selected Papers. Wallraven, C., Liu, Q. & Nagahara, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 254-267 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13189 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Artificial Intelligence 100%
  • Machine Learning 50%
  • Text Classification 50%
  • Deep Learning 50%
  • Classification Task 50%

• Predicting Decision-Making in the Future: Human Versus Machine

  Ryu, H. S., Ju, U. & Wallraven, C., 2022, Pattern Recognition - 6th Asian Conference, ACPR 2021, Revised Selected Papers. Wallraven, C., Liu, Q. & Nagahara, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 127-141 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13189 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Human-machine Systems 100%
  • Deep Neural Network 100%
  • Neural Network 100%
  • Decision-Making 100%
  • Decision Making 100%

• Single-view, video-based diagnosis of Parkinson's Disease based on arm and leg joint tracking

  Seo, J. S., Chen, Y., Kwon, D. Y. & Wallraven, C., 2022, Proceedings - 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022. Institute of Electrical and Electronics Engineers Inc., p. 172-176 5 p. (Proceedings - 2022 International Conference on Mechanical, Automation and Electrical Engineering, CMAEE 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Parkinson's Disease 100%
  • Joints (Structural Components) 100%
  • Leg Joint 100%
  • Diagnosis of Parkinson's Disease 100%
  • Quality of Life 100%

• Subject-Transfer Decoding using the Convolutional Neural Network for Motor Imagery-based Brain-Computer Interface

  Jeong, J. H., Kim, K. T., Kim, D. J., Lee, S. J. & Kim, H., 2022, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022. Institute of Electrical and Electronics Engineers Inc., p. 48-51 4 p. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; vol. 2022-July).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Motor Imagery 100%
  • Brain-Computer Interface 100%
  • Convolutional Neural Network 100%
  • Computer Interface 100%
  • Neural Network 100%
  3 Citations (Scopus)

• Visualizing the Embedding Space to Explain the Effect of Knowledge Distillation

  Lee, H. S. & Wallraven, C., 2022, Pattern Recognition - 6th Asian Conference, ACPR 2021, Revised Selected Papers. Wallraven, C., Liu, Q. & Nagahara, H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 462-475 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13189 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Representation Space 100%
  • Compact Representation 50%
  • Embedding Method 50%
  • Knowledge Distillation 50%
  • Parameterized Method 50%
• 2021

  Hybrid Zero-Training BCI based on Convolutional Neural Network for Lower-limb Motor-Imagery

  Jeong, J. H., Kim, D. J. & Kim, H., 2021 Feb 22, 9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021. Institute of Electrical and Electronics Engineers Inc., 9385316. (9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Motor Imagery 100%
  • Brain-Computer Interface 100%
  • Convolutional Neural Network 100%
  • Computer Interface 100%
  • Lower Limb Motor Imagery 100%
  7 Citations (Scopus)

• Identifying Thyroid Nodules in Ultrasound Images Through Segmentation-Guided Discriminative Localization

  Lu, J., Ouyang, X., Liu, T. & Shen, D., 2021, Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data - MICCAI 2020 Challenges, ABCs 2020, L2R 2020, TN-SCUI 2020, Held in Conjunction with MICCAI 2020, Proceedings. Shusharina, N., Heinrich, M. P. & Huang, R. (eds.). Springer Science and Business Media Deutschland GmbH, p. 135-144 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12587 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Ultrasound Image 100%
  • Aided Diagnosis 25%
  • Classification Task 25%
  • Classification Stage 25%
  • Segmentation Task 25%
  2 Citations (Scopus)

• Improving Sleep Stage Classification Performance by Single-Channel EEG Data Augmentation via Spectral Band Blending

  Lee, C. H., Kim, H. J., Heo, J. W., Kim, H. & Kim, D. J., 2021 Feb 22, 9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021. Institute of Electrical and Electronics Engineers Inc., 9385297. (9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Classification Performance 100%
  • Data Augmentation 100%
  • Band Blending 100%
  • Bidirectional Long Short-Term Memory Network 80%
  • Classification Stage 60%
  6 Citations (Scopus)

• Phase Transition in previous Motor Imagery affects Efficiency of Motor Imagery based Brain-computer Interface

  Jung, M. K., Lee, S., Wang, I. N., Song, H. Y., Kim, H. & Kim, D. J., 2021 Feb 22, 9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021. Institute of Electrical and Electronics Engineers Inc., 9385321. (9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Brain-Computer Interface 100%
  • Electroencephalography 100%
  • Peripheral Limb 20%
  3 Citations (Scopus)

• Sequential Transfer Learning via Segment after Cue Enhances the Motor Imagery-based Brain-Computer Interface

  Kim, D. K., Kim, Y. T., Jung, H. R., Kim, H. & Kim, D. J., 2021 Feb 22, 9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021. Institute of Electrical and Electronics Engineers Inc., 9385340. (9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Motor Imagery 100%
  • Brain-Computer Interface 100%
  • Transfer Learning 100%
  • Computer Interface 100%
  • Learning Transfer 100%
  8 Citations (Scopus)

• Towards Neurohaptics: Brain-Computer Interfaces for Decoding Intuitive Sense of Touch

  Cho, J. H., Jeong, J. H., Kim, M. K. & Lee, S. W., 2021 Feb 22, 9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021. Institute of Electrical and Electronics Engineers Inc., 9385331. (9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Computer Interface 100%
  • Neurohaptics 100%
  • Touch Imagery 66%
  • Touch Sensation 33%
  • Texture Sensation 33%
  7 Citations (Scopus)
• 2020

  3D CNN based Multilevel Feature Fusion for Workload Estimation

  Kwak, Y., Song, W. J., Min, B. K. & Kim, S. E., 2020 Feb 1, 8th International Winter Conference on Brain-Computer Interface, BCI 2020. Institute of Electrical and Electronics Engineers Inc., 9061639. (8th International Winter Conference on Brain-Computer Interface, BCI 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Feature Fusion 100%
  • Convolutional Neural Network 100%
  • Working Environment 50%
  • Conventional Algorithm 50%
  • Information Processing 50%
  3 Citations (Scopus)

• 6-Month Infant Brain Mri Segmentation Guided by 24-Month Data Using Cycle-Consistent Adversarial Networks

  Bui, T. D., Wang, L., Lin, W., Li, G. & Shen, D., 2020 Apr 1, Proceedings - International Symposium on Biomedical Imaging. IEEE Computer Society, p. 359-362 4 p. 9098515. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Synthetic Image 100%
  • Transferring 100%
  • Magnetic Resonance Imaging 100%
  • Imaging Software 100%
  • Experimental Result 50%
  4 Citations (Scopus)

• 7T Guided 3T Brain Tissue Segmentation Using Cascaded Nested Network

  Wei, J., Bui, D. T., Wu, Z., Wang, L., Xia, Y., Li, G. & Shen, D., 2020 Apr 1, Proceedings - International Symposium on Biomedical Imaging. IEEE Computer Society, p. 140-143 4 p. 9098617. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • State-of-the-Art Method 100%
  • Ground Truth 100%
  • Brain Image 100%
  • Brain Tissue 100%
  • Deep Learning 100%
  1 Citation (Scopus)

• Acceleration of High-Resolution 3D MR Fingerprinting via a Graph Convolutional Network

  Cheng, F., Chen, Y., Zong, X., Lin, W., Shen, D. & Yap, P. T., 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 158-166 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12262 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Neural Network 100%
  • Whole-brain Coverage 16%
  • Slice Encoding 16%
  4 Citations (Scopus)

• A Comparison of Oversampling Methods for Constructing a Prognostic Model in the Patient with Heart Failure

  Kim, Y. T., Kim, D. K., Kim, H. & Kim, D. J., 2020 Oct 21, ICTC 2020 - 11th International Conference on ICT Convergence: Data, Network, and AI in the Age of Untact. IEEE Computer Society, p. 379-383 5 p. 9289522. (International Conference on ICT Convergence; vol. 2020-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Heart Failure 100%
  • Electronic Health Record 100%
  • Creatinine 16%
  • Heart Disease 16%
  • Left Ventricular Systolic Dysfunction 16%
  18 Citations (Scopus)

• A Computational Framework for Dissociating Development-Related from Individually Variable Flexibility in Regional Modularity Assignment in Early Infancy

  the UNC/UMN Baby Connectome Project Consortium, 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 13-21 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12267 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Functional Connectivity 100%
  • Brain Development 100%
  • Functional Magnetic Resonance Imaging 50%
  • Cognitive Capability 50%
  • Functional Brain Development 33%
  3 Citations (Scopus)

• A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation

  the UNC/UMN Baby Connectome Program Consortium, 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 646-656 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12267 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Signed Distance 100%
  • Subcortical Segmentation 100%
  • Magnetic Resonance Imaging 100%
  • Context Information 66%
  • Relative Position 33%
  5 Citations (Scopus)

• Analysing the Changing Brain: Immediate Brain Plasticity after One Hour of BCI

  Muller, K. R., 2020 Feb, 8th International Winter Conference on Brain-Computer Interface, BCI 2020. Institute of Electrical and Electronics Engineers Inc., 9061662. (8th International Winter Conference on Brain-Computer Interface, BCI 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Learning Methods 100%
  • Brain Data 100%
  • Brain Plasticity 100%
  • Nonlinear Learning 100%
  • Brain-Computer Interface 100%
  1 Citation (Scopus)

• Anatomy-Guided Convolutional Neural Network for Motion Correction in Fetal Brain MRI

  Pei, Y., Wang, L., Zhao, F., Zhong, T., Liao, L., Shen, D. & Li, G., 2020, Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Proceedings. Liu, M., Lian, C., Yan, P. & Cao, X. (eds.). Springer Science and Business Media Deutschland GmbH, p. 384-393 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12436 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Anatomical Information 100%
  • Convolutional Neural Network 100%
  • Fetal Brain Magnetic Resonance Imaging 100%
  • Experimental Result 50%
  • Learning Framework 50%
  4 Citations (Scopus)

• An Ensemble Deep Learning Approach for Sleep Stage Classification via Single-channel EEG and EOG

  Wang, I. N., Lee, C. H., Kim, H. J., Kim, H. & Kim, D. J., 2020 Oct 21, ICTC 2020 - 11th International Conference on ICT Convergence: Data, Network, and AI in the Age of Untact. IEEE Computer Society, p. 394-398 5 p. 9289335. (International Conference on ICT Convergence; vol. 2020-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Learning Approach 100%
  • Deep Learning 100%
  • Classification Stage 100%
  • Electroencephalography 100%
  • Sleep Stage 100%
  7 Citations (Scopus)

• A New Metric for Characterizing Dynamic Redundancy of Dense Brain Chronnectome and Its Application to Early Detection of Alzheimer’s Disease

  Ghanbari, M., Hsu, L. M., Zhou, Z., Ghanbari, A., Mo, Z., Yap, P. T., Zhang, H. & Shen, D., 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-12 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12267 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Alzheimer's Disease 100%
  • Brain Network 100%
  • Dynamic Redundancy 100%
  • Functional Connectivity 100%
  • Redundancy Analysis 50%
  3 Citations (Scopus)

• A Novel Approach to Classify Natural Grasp Actions by Estimating Muscle Activity Patterns from EEG Signals

  Cho, J. H., Jeong, J. R., Kim, D. J. & Lee, S. W., 2020 Feb 1, 8th International Winter Conference on Brain-Computer Interface, BCI 2020. Institute of Electrical and Electronics Engineers Inc., 9061627. (8th International Winter Conference on Brain-Computer Interface, BCI 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Classification Accuracy 100%
  • Muscle Activity 100%
  • Electroencephalogram 100%
  • Computer Interface 66%
  • Healthy Subject 33%
  10 Citations (Scopus)

• A Novel Framework for Visual Motion Imagery Classification Using 3D Virtual BCI Platform

  Kwon, B. H., Jeong, J. H. & Kim, D. J., 2020 Feb, 8th International Winter Conference on Brain-Computer Interface, BCI 2020. Institute of Electrical and Electronics Engineers Inc., 9061621. (8th International Winter Conference on Brain-Computer Interface, BCI 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Virtual Brain 100%
  • Visual Motion Imagery 100%
  • Imagery Classification 100%
  • Computer Interface 100%
  • Visual Imagery 50%
  3 Citations (Scopus)

• A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency

  Huo, J., Si, L., Ouyang, X., Xuan, K., Yao, W., Xue, Z., Wang, Q., Shen, D. & Zhang, L., 2020, Predictive Intelligence in Medicine - 3rd International Workshop, PRIME 2020, Held in Conjunction with MICCAI 2020, Proceedings. Rekik, I., Adeli, E., Park, S. H. & Valdés Hernández, M. D. C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 200-209 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12329 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Self-ensembling 100%
  • Dual Consistency 100%
  • Deep Learning 100%
  • Neural Network 100%
  • Training Course 100%
  2 Citations (Scopus)

• Asymmetrical Multi-task Attention U-Net for the Segmentation of Prostate Bed in CT Image

  Xu, X., Lian, C., Wang, S., Wang, A., Royce, T., Chen, R., Lian, J. & Shen, D., 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 470-479 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12264 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Backbone Network 100%
  • U-Net 100%
  • Prostate Bed 100%
  • Task Attention 100%
  • Attention (Machine Learning) 66%
  15 Citations (Scopus)

• Auto-GAN: Self-supervised collaborative learning for medical image synthesis

  Cao, B., Zhang, H., Wang, N., Gao, X. & Shen, D., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI press, p. 10486-10493 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Image Synthesis 100%
  • Collaborative Learning 100%
  • Image Database 50%
  • Imaging Modality 50%
  • Generalization Ability 50%
  67 Citations (Scopus)

• Characterizing Intra-soma Diffusion with Spherical Mean Spectrum Imaging

  Huynh, K. M., Wu, Y., Thung, K. H., Ahmad, S., Taylor IV, H. P., Shen, D. & Yap, P. T., 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 354-363 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12267 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  • Soma 100%
  • Spectrum Imaging 100%
  • Mean Spectrum 100%
  • Spherical Means 100%
  • Diffusivity 100%
  2 Citations (Scopus)

• Classification of Upper Limb Movements Using Convolutional Neural Network with 3D Inception Block

  Lee, D. Y., Jeong, J. H., Shim, K. H. & Kim, D. J., 2020 Feb 1, 8th International Winter Conference on Brain-Computer Interface, BCI 2020. Institute of Electrical and Electronics Engineers Inc., 9061671. (8th International Winter Conference on Brain-Computer Interface, BCI 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Convolutional Neural Network 100%
  • Neural Network 100%
  • Limb Movement 100%
  • Inception Block 100%
  • brain machine interface 66%
  4 Citations (Scopus)

• Comparative Analysis of NIRS-EEG Motor Imagery Data Using Features from Spatial, Spectral and Temporal Domain

  Kim, H. J., Wang, I. N., Kim, Y. T., Kim, H. & Kim, D. J., 2020 Feb 1, 8th International Winter Conference on Brain-Computer Interface, BCI 2020. Institute of Electrical and Electronics Engineers Inc., 9061636. (8th International Winter Conference on Brain-Computer Interface, BCI 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Electroencephalography 100%
  • Near-infrared Spectroscopy 100%
  • Comparative Analysis 100%
  • Spatial-temporal 100%
  • Spatial Domain 100%
  6 Citations (Scopus)

• Complex Motor Imagery-based Brain-Computer Interface System: A Comparison between Different Classifiers

  Lee, S. B., Jung, M. K., Kim, H., Lee, S. W. & Kim, D. J., 2020 Oct 11, 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020. Institute of Electrical and Electronics Engineers Inc., p. 2496-2501 6 p. 9282984. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; vol. 2020-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Computer Interface 100%
  • Interface System 100%
  • Motor Imagery 100%
  • Brain-Computer Interface 100%
  • Complex Motor 100%
  1 Citation (Scopus)

• Construction of Spatiotemporal Infant Cortical Surface Functional Templates

  the UNC/UMN Baby Connectome Project Consortium, 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 238-248 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12267 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Functional Templates 100%
  • Barycenter 100%
  • Surface Template 50%
  • Functional Gradient 50%
  • Functional Architecture 33%
  1 Citation (Scopus)