Graduate School

Research output

Research output per year 1979 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023

• 486364 Citations
• 227 h-index
• 12524 Article
• 1118 Conference contribution
• 459 Review article
• 287 Patent
• 699 More
  • 226 Comment/debate
  • 126 Letter
  • 104 Chapter
  • 90 Editorial
  • 67 Conference article
  • 55 Paper
  • 19 Short survey
  • 9 Foreword/postscript
  • 3 Book

Research output per year

Research output per year

Search results

• 2020

  UnionDet: Union-Level Detector Towards Real-Time Human-Object Interaction Detection

  Kim, B., Choi, T., Kang, J. & Kim, H. J., 2020, Computer Vision – ECCV 2020 - 16th European Conference, 2020, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 498-514 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12360 LNCS).

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

  • Detector 100%
  • Real-time 94%
  • Human 75%
  • Detectors 65%
  • Union 65%
  29 Citations (Scopus)

• Unsupervised Learning for Spherical Surface Registration

  the UNC/UMN Baby Connectome Project Consortium, 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. 373-383 11 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

  • Unsupervised Learning 100%
  • Registration 86%
  • Unsupervised learning 75%
  • Alignment 17%
  • Neuroimaging 10%
  2 Citations (Scopus)

• VERISMART: A highly precise safety verifier for ethereum smart contracts

  So, S., Lee, M., Park, J., Lee, H. & Oh, H., 2020 May, Proceedings - 2020 IEEE Symposium on Security and Privacy, SP 2020. Institute of Electrical and Electronics Engineers Inc., p. 1678-1694 17 p. 9152689. (Proceedings - IEEE Symposium on Security and Privacy; vol. 2020-May).

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

  Open Access

  • Ethereum 100%
  • Scalability 7%
  • Defects 6%
  48 Citations (Scopus)

• VIGNet: A Deep Convolutional Neural Network for EEG-based Driver Vigilance Estimation

  Ko, W., Oh, K., Jeon, E. & Suk, H. I., 2020 Feb, 8th International Winter Conference on Brain-Computer Interface, BCI 2020. Institute of Electrical and Electronics Engineers Inc., 9061668. (8th International Winter Conference on Brain-Computer Interface, BCI 2020).

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

  • Deep neural networks 100%
  • Electroencephalography 99%
  • Convolutional neural networks 93%
  • Entropy 86%
  • Brain computer interface 58%
  29 Citations (Scopus)
• 2019

  A Comprehensive Analysis of Alcoholic EEG Signals with Detrend Fluctuation Analysis and Post Classifiers

  Prabhakar, S. K., Rajaguru, H. & Lee, S. W., 2019 Feb, 7th International Winter Conference on Brain-Computer Interface, BCI 2019. Institute of Electrical and Electronics Engineers Inc., 8737328. (7th International Winter Conference on Brain-Computer Interface, BCI 2019).

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

  • Electroencephalography 100%
  • Classifiers 73%
  • Discriminant Analysis 69%
  • Discriminant analysis 66%
  • Brain 51%
  7 Citations (Scopus)

• Adaptive convolution for text classification

  Choi, B. J., Park, J. H. & Lee, S. K., 2019, Long and Short Papers. Association for Computational Linguistics (ACL), p. 2475-2485 11 p. (NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference; vol. 1).

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

  • neural network 100%
  • Filter 88%
  • Convolution 82%
  • Neural Networks 75%
  • Convolutional neural networks 45%
  12 Citations (Scopus)

• A Deep Learning Framework for Noise Component Detection from Resting-State Functional MRI

  for UNC/UMN Baby Connectome Project Consortium, 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 754-762 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11766 LNCS).

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

  • Functional Magnetic Resonance Imaging 100%
  • Magnetic Resonance Imaging 82%
  • Learning 66%
  • Deep learning 65%
  • Framework 41%
  13 Citations (Scopus)

• A Neural Network Model of Spatial Distortion Sensitivity for Video Quality Estimation

  Becker, S., Muller, K. R., Wiegand, T. & Bosse, S., 2019 Oct, 2019 IEEE 29th International Workshop on Machine Learning for Signal Processing, MLSP 2019. IEEE Computer Society, 8918899. (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2019-October).

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

  • Multimedia systems 100%
  • Neural networks 95%
  3 Citations (Scopus)

• An online top-down SSVEP-BMI for augmented reality

  Kim, J. W., Kim, M. N., Kang, D. H., Ahn, M. H., Kim, H. S. & Min, B. K., 2019 Feb, 7th International Winter Conference on Brain-Computer Interface, BCI 2019. Institute of Electrical and Electronics Engineers Inc., 8737348. (7th International Winter Conference on Brain-Computer Interface, BCI 2019).

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

  • Augmented Reality 100%
  • Brain-Computer Interfaces 91%
  • Bioelectric potentials 86%
  • Smart Glasses 83%
  • Visual Evoked Potentials 80%
  5 Citations (Scopus)

• A robust matching network for gradually estimating geometric transformation on remote sensing imagery

  Kim, D. G., Nam, W. J. & Lee, S. W., 2019 Oct, 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019. Institute of Electrical and Electronics Engineers Inc., p. 3889-3894 6 p. 8913881. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; vol. 2019-October).

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

  • Remote sensing 100%
  • Antennas 62%
  • Photogrammetry 23%
  • Transfer learning 22%
  • Deep neural networks 18%
  13 Citations (Scopus)

• Assistive robotic arm control based on brain-machine interface with vision guidance using convolution neural network

  Shim, K. H., Jeong, J. H., Kwon, B. H., Lee, B. H. & Lee, S. W., 2019 Oct, 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019. Institute of Electrical and Electronics Engineers Inc., p. 2785-2790 6 p. 8914058. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; vol. 2019-October).

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

  • Robotic arms 100%
  • Convolution 82%
  • Brain 69%
  • Neural networks 50%
  • Online systems 12%
  9 Citations (Scopus)

• Asymmetry Spectrum Imaging for Baby Diffusion Tractography

  and the UNC/UMN Baby Connectome Project Consortium, 2019, Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings. Chung, A. C. S., Gee, J. C., Yushkevich, P. A. & Bao, S. (eds.). Springer Verlag, p. 319-331 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11492 LNCS).

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

  • Asymmetry 100%
  • Imaging 97%
  • Imaging techniques 67%
  • Fiber Orientation 48%
  • Brain 48%
  4 Citations (Scopus)

• BeaconRider: Opportunistic sharing of beacon air-time in densely deployed WLANs

  Lee, H., Kim, J., Joo, C. & Bahk, S., 2019 Oct, 27th IEEE International Conference on Network Protocols, ICNP 2019. IEEE Computer Society, 8888044. (Proceedings - International Conference on Network Protocols, ICNP; vol. 2019-October).

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

  • Wireless local area networks (WLAN) 100%
  • Data communication systems 61%
  • Air 56%
  • Explosions 32%
  • Network protocols 23%
  4 Citations (Scopus)

• Black-box decision based adversarial attack with symmetric α-stable distribution

  Srinivasan, V., Kuruoglu, E. E., Müller, K. R., Samek, W. & Nakajima, S., 2019 Sept, EUSIPCO 2019 - 27th European Signal Processing Conference. European Signal Processing Conference, EUSIPCO, (European Signal Processing Conference; vol. 2019-September).

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

  • Random variables 100%
  • Gaussian distribution 36%
  • Statistics 24%
  • Machine learning 23%
  • Experiments 11%
  1 Citation (Scopus)

• Causal connectivity according to conscious experience in non-rapid eye movement sleep

  Lee, M., Baird, B., Gosseries, O., Nieminen, J. O., Boly, M., Tononi, G. & Lee, S. W., 2019 Oct, 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019. Institute of Electrical and Electronics Engineers Inc., p. 2133-2138 6 p. 8914541. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; vol. 2019-October).

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

  • Eye movements 100%
  • Sleep 94%
  • Brain 73%
  • Transfer functions 53%
  • Electroencephalography 28%
  1 Citation (Scopus)

• Changes in Fatigue and EEG Amplitude during a Longtime Use of Brain-Computer Interface

  Seo, S. P., Lee, M. H., Williamson, J. & Lee, S. W., 2019 Feb, 7th International Winter Conference on Brain-Computer Interface, BCI 2019. Institute of Electrical and Electronics Engineers Inc., 8737306. (7th International Winter Conference on Brain-Computer Interface, BCI 2019).

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

  • Brain-Computer Interfaces 100%
  • Brain computer interface 84%
  • Electroencephalography 70%
  • Fatigue 62%
  • Fatigue of materials 50%
  12 Citations (Scopus)

• Classification of Hand Motions within EEG Signals for Non-Invasive BCI-Based Robot Hand Control

  Cho, J. H., Jeong, J. H., Shim, K. H., Kim, D. J. & Lee, S. W., 2019 Jan 16, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., p. 515-518 4 p. 8616092. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

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

  • Brain-Computer Interfaces 100%
  • Robot 84%
  • Brain computer interface 84%
  • Electroencephalography 70%
  • Hand 56%
  32 Citations (Scopus)

• Classification of the motion artifacts in near-infrared spectroscopy based on wavelet statistical feature

  Lee, S. B., Kim, H., Lee, S., Kim, H. J., Lee, S. W. & Kim, D. J., 2019 Oct, 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019. Institute of Electrical and Electronics Engineers Inc., p. 2144-2148 5 p. 8914331. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; vol. 2019-October).

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

  • Near infrared spectroscopy 100%
  • Brain computer interface 31%
  • Feature extraction 21%
  • Discriminant analysis 19%
  • Hemoglobin 12%
  2 Citations (Scopus)

• Cortical foldingprints for infant identification

  Duan, D., Xia, S., Wu, Z., Wang, F., Wang, L., Lin, W., Gilmore, J. H., Shen, D. & Li, G., 2019 Apr, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 396-399 4 p. 8759429. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

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

  • Magnetic Resonance Imaging 100%
  • Brain 72%
  • Experiments 31%
  • Neurosciences 18%
  • Datasets 13%
  2 Citations (Scopus)

• Decoding of Multi-directional Reaching Movements for EEG-Based Robot Arm Control

  Jeong, J. H., Kim, K. T., Kim, D. J. & Lee, S. W., 2019 Jan 16, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., p. 511-514 4 p. 8616091. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

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

  • Arms Control 100%
  • Robot 81%
  • Electroencephalography 68%
  • Decoding 60%
  • Robots 45%
  20 Citations (Scopus)

• DeepBundle: Fiber Bundle Parcellation with Graph Convolution Neural Networks

  Liu, F., Feng, J., Chen, G., Wu, Y., Hong, Y., Yap, P. T. & Shen, D., 2019, Graph Learning in Medical Imaging - 1st International Workshop, GLMI 2019, held in Conjunction with MICCAI 2019, Proceedings. Zhang, D., Zhou, L., Jie, B. & Liu, M. (eds.). Springer, p. 88-95 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11849 LNCS).

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

  • Fiber Bundle 100%
  • Convolution 83%
  • Neural Networks 80%
  • Fiber 72%
  • Registration 63%
  9 Citations (Scopus)

• Deep granular feature-label distribution learning for neuroimaging-based infant age prediction

  for UNC/UMN Baby Connectome Project Consortium, 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 149-157 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11767 LNCS).

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

  • Neuroimaging 100%
  • Learning 63%
  • Labels 59%
  • Prediction 56%
  • Brain 34%
  2 Citations (Scopus)

• Deep Transfer Learning for Whole-Brain FMRI Analyses

  Thomas, A. W., Müller, K. R. & Samek, W., 2019, OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - 2nd International Workshop, OR 2.0 2019, and 2nd International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Proceedings. Zhou, L., Sarikaya, D., Kia, S. M., Speidel, S., Malpani, A., Hashimoto, D., Habes, M., Löfstedt, T., Ritter, K. & Wang, H. (eds.). Springer, p. 59-67 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11796 LNCS).

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

  • Transfer Learning 100%
  • Transfer learning 63%
  • Brain 58%
  • Functional Magnetic Resonance Imaging 54%
  • Magnetic Resonance Imaging 45%
  11 Citations (Scopus)

• Demo – Mechat: In-device conversational photo sharing service

  Lee, J., Ryu, W. J., Ahn, Y., Lee, S. E., Kim, K. M., Park, J. H. & Lee, S. K., 2019 Jun 12, MobiSys 2019 - Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services. Association for Computing Machinery, Inc, p. 655-656 2 p. (MobiSys 2019 - Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services).

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

  Open Access

  • Servers 100%
  • Semantics 94%
  1 Citation (Scopus)

• Difficulty-aware attention network with confidence learning for medical image segmentation

  Nie, D., Wang, L., Xiang, L., Zhou, S., Adeli, E. & Shen, D., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. AAAI press, p. 1085-1092 8 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

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

  • Image segmentation 100%
  • Discriminators 65%
  • Radiotherapy 65%
  • Electric fuses 54%
  • Deep neural networks 51%
  22 Citations (Scopus)

• Domain Adaptation with Source Selection for Motor-Imagery based BCI

  Jeon, E., Ko, W. & Suk, H. I., 2019 Feb, 7th International Winter Conference on Brain-Computer Interface, BCI 2019. Institute of Electrical and Electronics Engineers Inc., 8737340. (7th International Winter Conference on Brain-Computer Interface, BCI 2019).

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

  • Electroencephalography 100%
  • Labels 29%
  • Deep Learning 23%
  • Power spectral density 19%
  • Network architecture 16%
  21 Citations (Scopus)

• Dynamic routing capsule networks for mild cognitive impairment diagnosis

  Jiao, Z., Huang, P., Kam, T. E., Hsu, L. M., Wu, Y., Zhang, H. & Shen, D., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 620-628 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11767 LNCS).

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

  • Dynamic Routing 100%
  • Alzheimer's Disease 81%
  • Network routing 69%
  • Connectivity 52%
  • Machine Learning 42%
  4 Citations (Scopus)

• EEG representation in deep convolutional neural networks for classification of motor imagery

  Robinson, N., Lee, S. W. & Guan, C., 2019 Oct, 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019. Institute of Electrical and Electronics Engineers Inc., p. 1322-1326 5 p. 8914184. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; vol. 2019-October).

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

  • Deep neural networks 100%
  • Electroencephalography 99%
  • Convolutional neural networks 93%
  • Decoding 65%
  • Brain computer interface 58%
  18 Citations (Scopus)

• Evaluation of U-net segmentation models for infarct volume measurement in acute ischemic stroke: Comparison with fixed ADC threshold-based methods

  Kim, Y. C., Lee, J. E., Yu, I., Baek, I. Y., Jeong, H. G., Kim, B. J., Seong, J. K., Chung, J. W., Bang, O. Y. & Seo, W. K., 2019, Medical Imaging 2019: Computer-Aided Diagnosis. Mori, K. & Hahn, H. K. (eds.). SPIE, 109502D. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10950).

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

  • Volume measurement 100%
  • strokes 78%
  • lesions 76%
  • Diffusion Coefficient 60%
  • Infarction 58%

• Experimental Evaluation of a 2-DoF Haptic Shared Control System Based on Pilot Intent Estimation

  D'Intino, G., Arenella, A., Olivari, M., Bulthoff, H. & Pollini, L., 2019 Jan 16, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., p. 3225-3230 6 p. 8616543. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

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

  • Pilots 100%
  • Trajectories 80%
  • Control systems 70%
  • Trajectory 62%
  • Evaluation 61%
  4 Citations (Scopus)

• Explainable Deep Learning for Analysing Brain Data

  Muller, K. R., 2019 Feb, 7th International Winter Conference on Brain-Computer Interface, BCI 2019. Institute of Electrical and Electronics Engineers Inc., 8737321. (7th International Winter Conference on Brain-Computer Interface, BCI 2019).

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

  • Deep Learning 100%
  • Magnetic Resonance Imaging 82%
  • Neuroimaging 66%
  • Deep learning 64%
  • Brain 59%

• Exploring the Number of Repetitions in Trials for the Performance Convergence of Classification in Motor Imagery Task with Hand-Grasping

  Kim, Y. T., Lee, S. B., Kim, H., Jeong, J. H., Lee, S. W. & Kim, D. J., 2019 Feb, 7th International Winter Conference on Brain-Computer Interface, BCI 2019. Institute of Electrical and Electronics Engineers Inc., 8737308. (7th International Winter Conference on Brain-Computer Interface, BCI 2019).

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

  • Brain-Computer Interfaces 100%
  • Hand 56%
  • Brain computer interface 48%
  • Intention 17%
  • Electroencephalography 15%
  1 Citation (Scopus)

• Fingertip Interaction Metrics Correlate with Visual and Haptic Perception of Real Surfaces

  Vardar, Y., Wallraven, C. & Kuchenbecker, K. J., 2019 Jul, 2019 IEEE World Haptics Conference, WHC 2019. Institute of Electrical and Electronics Engineers Inc., p. 395-400 6 p. 8816095. (2019 IEEE World Haptics Conference, WHC 2019).

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

  • visual perception 100%
  • Friction 95%
  • Visual Perception 94%
  • multidimensional scaling 47%
  • Hardness 45%
  17 Citations (Scopus)

• Frnet: Flattened residual network for infant MRI skull stripping

  Zhang, Q., Wang, L., Zong, X., Lin, W., Li, G. & Shen, D., 2019 Apr, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 999-1002 4 p. 8759167. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

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

  • Magnetic resonance imaging 100%
  • Skull 94%
  • Brain 78%
  • Large dataset 25%
  • Artifacts 23%
  12 Citations (Scopus)

• From small-scale to large-scale text classification

  Kim, K. M., Kim, Y., Lee, J., Lee, J. M. & Lee, S. K., 2019 May 13, The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019. Association for Computing Machinery, Inc, p. 853-862 10 p. (The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019).

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

  • Multi-task learning 100%
  • Neural networks 60%
  • Macros 22%
  13 Citations (Scopus)

• From Text Classification to Keyphrase Extraction for Short Text

  Lee, S. E., Kim, K. M., Ryu, W. J., Park, J. & Lee, S., 2019 Dec, Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019. Baru, C., Huan, J., Khan, L., Hu, X. T., Ak, R., Tian, Y., Barga, R., Zaniolo, C., Lee, K. & Ye, Y. F. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1137-1142 6 p. 9006409. (Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019).

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

  • Text Classification 100%
  • Query 21%
  • Recurrent neural networks 15%
  • Recurrent Neural Networks 14%
  • Neural Networks 11%
  2 Citations (Scopus)

• Graph-Based Deep Learning for Prediction of Longitudinal Infant Diffusion MRI Data

  Kim, J., Hong, Y., Chen, G., Lin, W., Yap, P. T. & Shen, D., 2019, Mathematics and Visualization. Bonet-Carne, E., Grussu, F., Ning, L., Sepehrband, F. & Tax, C. M. W. (eds.). Springer Heidelberg, p. 133-141 9 p. (Mathematics and Visualization).

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

  • Magnetic resonance imaging 100%
  • Learning 86%
  • Deep learning 84%
  • Prediction 76%
  • Graph in graph theory 43%
  6 Citations (Scopus)

• Graph Theoretical Analysis of Cortical Networks based on Conscious Experience

  Lee, M., Baird, B., Gosseries, O., Nieminen, J. O., Boly, M., Tononi, G. & Lee, S. W., 2019 Jul, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Institute of Electrical and Electronics Engineers Inc., p. 3373-3376 4 p. 8857648. (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

  • Eye movements 100%
  • Sleep 94%
  • Eye Movements 61%
  • Consciousness 60%
  • Wakefulness 51%
  2 Citations (Scopus)

• Harmonization of infant cortical thickness using surface-to-surface cycle-consistent adversarial networks

  the UNC/UMN Baby Connectome Project Consortium, 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 475-483 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11767 LNCS).

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

  • Scanner 100%
  • Cycle 65%
  • Individual Differences 39%
  • Quantitative Evaluation 20%
  • Neuroimaging 19%
  28 Citations (Scopus)

• High-throughput activator sequence selection for silver nanocluster beacons

  Kuo, Y. A., Jung, C., Chen, Y. A., Rybarski, J. R., Nguyen, T. D., Chen, Y. A., Kuo, H. C., Zhao, O. S., Madrid, V. A., Chen, Y. I., Liu, Y. L., Hawkins, J. A., Petty, J. T., Finkelstein, I. J. & Yeh, H. C., 2019, Reporters, Markers, Dyes, Nanoparticles, and Molecular Probes for Biomedical Applications XI. Achilefu, S. & Raghavachari, R. (eds.). SPIE, 108930G. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10893).

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

  • Nanoclusters 100%
  • beacons 78%
  • Silver 62%
  • silver 47%
  • strands 40%
  1 Citation (Scopus)

• Information Update for Multi-source Remote Estimation in Real-time Monitoring Networks

  Yun, J. & Joo, C., 2019 Oct, ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future. Institute of Electrical and Electronics Engineers Inc., p. 633-635 3 p. 8940006. (ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future).

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

  • Network Monitoring 100%
  • Real-time 65%
  • Random processes 61%
  • Update 56%
  • Information Sources 40%
  2 Citations (Scopus)

• Interpreting undesirable pixels for image classification on black-box models

  Kang, S. H., Jung, H. G. & Lee, S. W., 2019 Oct, Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019. Institute of Electrical and Electronics Engineers Inc., p. 4250-4254 5 p. 9022619. (Proceedings - 2019 International Conference on Computer Vision Workshop, ICCVW 2019).

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

  • Image classification 100%
  • Pixels 70%
  • Classifiers 22%
  2 Citations (Scopus)

• Kitchenette: Predicting and ranking food ingredient pairings using siamese neural networks

  Park, D., Kim, K., Park, Y., Shin, J. & Kang, J., 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 5930-5936 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

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

  • Neural networks 100%
  11 Citations (Scopus)

• MIDCN: A multiple instance deep convolutional network for image classification

  He, K., Huo, J., Shi, Y., Gao, Y. & Shen, D., 2019, PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Proceedings. Nayak, A. C. & Sharma, A. (eds.). Springer Verlag, p. 230-243 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11670 LNAI).

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

  • Image Classification 100%
  • Image classification 65%
  • Labels 52%
  • Volatile organic compounds 24%
  • Pooling 23%
  4 Citations (Scopus)

• Multi-layer Temporal Network Analysis Reveals Increasing Temporal Reachability and Spreadability in the First Two Years of Life

  for UNC/UMN Baby Connectome Project Consortium, 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 665-672 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11766 LNCS).

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

  • Network Analysis 100%
  • Multilayer 93%
  • Brain 83%
  • Reachability 81%
  • Electric network analysis 77%
  2 Citations (Scopus)

• Multi-stage Image Quality Assessment of Diffusion MRI via Semi-supervised Nonlocal Residual Networks

  the UNC/UMN Baby Connectome Project Consortium, 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 521-528 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11766 LNCS).

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

  • Image Quality Assessment 100%
  • Magnetic resonance imaging 50%
  • Image quality 44%
  • Quality Assessment 44%
  • Labels 20%
  4 Citations (Scopus)

• Multi-task learning for neonatal brain segmentation using 3d dense-unet with dense attention guided by geodesic distance

  Bui, T. D., Wang, L., Chen, J., Lin, W., Li, G. & Shen, D., 2019, Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data First MICCAI Workshop, DART 2019 and First International Workshop, MIL3ID 2019 Shenzhen, Held in Conjunction with MICCAI 2019 Shenzhen, 2019 Proceedings. Wang, Q., Milletari, F., Rieke, N., Nguyen, H. V., Roysam, B., Albarqouni, S., Cardoso, M. J., Xu, Z., Kamnitsas, K., Patel, V., Jiang, S., Zhou, K., Luu, K. & Le, N. (eds.). Springer, p. 243-251 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11795 LNCS).

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

  • Multi-task Learning 100%
  • Multi-task learning 78%
  • Geodesic Distance 77%
  • Segmentation 70%
  • Brain 64%
  12 Citations (Scopus)

• Predicting multiple demographic attributes with task specific embedding transformation and attention network

  Kim, R., Kim, H., Lee, J. & Kang, J., 2019, SIAM International Conference on Data Mining, SDM 2019. Society for Industrial and Applied Mathematics Publications, p. 765-773 9 p. (SIAM International Conference on Data Mining, SDM 2019).

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

  • Multi-task learning 100%
  • Industry 97%
  • Linear transformations 94%
  • Model structures 78%
  • Managers 63%
  4 Citations (Scopus)

• Probing Brain Micro-architecture by Orientation Distribution Invariant Identification of Diffusion Compartments

  the UNC/UMN Baby Connectome Project Consortium, 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 547-555 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11766 LNCS).

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

  • Invariant Distribution 100%
  • Spherical Means 90%
  • Architecture 89%
  • Brain 88%
  • Imaging 71%
  4 Citations (Scopus)

• Recognition of Pilot's Cognitive States based on Combination of Physiological Signals

  Han, S. Y., Kim, J. W. & Lee, S. W., 2019 Feb, 7th International Winter Conference on Brain-Computer Interface, BCI 2019. Institute of Electrical and Electronics Engineers Inc., 8737317. (7th International Winter Conference on Brain-Computer Interface, BCI 2019).

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

  • Pilots 100%
  • Human computer interaction 77%
  • Electrocardiography 75%
  • Electroencephalography 73%
  • Statistical methods 64%
  4 Citations (Scopus)