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

• 2017

  Demo: Mobile contextual advertising platform based on tiny text intelligence

  Lee, J. H., Jun, S. Y., Park, S. J., Kim, K. M. & Lee, S-G., 2017 Jun 16, MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services. Association for Computing Machinery, Inc, p. 181 1 p. (MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services).

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

  • Marketing 100%
  • Application programs 93%
  • Semantics 32%
  • Servers 28%
  • Mobile computing 20%
  5 Citations (Scopus)

• Demo: SigSocial: A novel social media aggregation service using a tiny text intelligence

  Bang, H., Kim, H. & Lee, S-G., 2017 Jun 16, MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services. Association for Computing Machinery, Inc, p. 184 1 p. (MobiSys 2017 - Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services).

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

  • Agglomeration 100%
  • Servers 41%
  • Classifiers 40%
  • Semantics 39%

• Demo: MoCA+: Incorporating user modeling into mobile contextual advertising

  Park, S. J., Lee, J. H., Jun, S. Y., Kim, K. M. & Lee, S-G., 2017 Dec 11, Middleware 2017 - Proceedings of the 2017 Middleware Posters and Demos 2017: Proceedings of the Posters and Demos Session of the 18th International Middleware Conference. Association for Computing Machinery, Inc, p. 21-22 2 p. (Middleware 2017 - Proceedings of the 2017 Middleware Posters and Demos 2017: Proceedings of the Posters and Demos Session of the 18th International Middleware Conference).

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

  • Marketing 100%
  • Application programs 82%
  • Servers 24%
  • Data Analytics 12%
  • User experience 11%
  1 Citation (Scopus)

• Development of a prototype SPECT system using a variable pinhole collimator

  Cha, H., Jung, Y. J., Min, E., Bae, S., Ko, M., Kim, K. M., Lee, K. & Lee, H., 2017 Oct 16, 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-January. 8069499

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

  • Single photon emission computed tomography 100%
  • pinholes 67%
  • collimators 63%
  • Single-Photon Emission-Computed Tomography 61%
  • prototypes 47%
  1 Citation (Scopus)

• Does manual delineation only provide the side information in CT prostate segmentation?

  Shi, Y., Yang, W., Gao, Y. & Shen, D., 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Maier-Hein, L., Franz, A., Jannin, P., Duchesne, S., Descoteaux, M. & Collins, D. L. (eds.). Springer Verlag, p. 692-700 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10435 LNCS).

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

  • Side Information 100%
  • Segmentation 85%
  • Masks 66%
  • Patch 37%
  • CT Image 30%
  15 Citations (Scopus)

• Early brain functional segregation and integration predict later cognitive performance

  Zhang, H., Yin, W., Lin, W. & Shen, D., 2017, Connectomics in NeuroImaging - 1st International Workshop, CNI 2017 Held in Conjunction with MICCAI 2017, Proceedings. Springer Verlag, Vol. 10511 LNCS. p. 116-124 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10511 LNCS).

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

  • Segregation 100%
  • Brain 86%
  • Predict 73%
  • Connectivity 47%
  • Performance 46%
  4 Citations (Scopus)

• Effects of Anxiety and cognitive load on instrument scanning behavior in a flight simulation

  Allsop, J., Gray, R., Bülthoff, H. H. & Chuang, L., 2017 Feb 10, Proceedings of the 2nd Workshop on Eye Tracking and Visualization, ETVIS 2016. Duchowski, A. T., Chuang, L. L. & Burch, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 55-59 5 p. 7851167. (Proceedings of the 2nd Workshop on Eye Tracking and Visualization, ETVIS 2016).

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

  • Flight dynamics 100%
  • Landing 85%
  • Aviation 80%
  • Entropy 71%
  • Scanning 65%
  9 Citations (Scopus)

• Efficient groupwise registration for brain MRI by fast initialization

  Dong, P., Cao, X., Zhang, J., Kim, M., Wu, G. & Shen, D., 2017, Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Proceedings. Shi, Y., Suk, H-I., Suzuki, K. & Wang, Q. (eds.). Springer Verlag, p. 150-158 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10541 LNCS).

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

  • Registration 100%
  • Initialization 95%
  • Brain 83%
  • Magnetic resonance imaging 80%
  • Training 36%
  2 Citations (Scopus)

• Emotion Induction in Virtual Environments: A Novel Paradigm Using Immersive Scenarios in Driving Simulators

  Woo, S., Hyun, D., Chang, D. S., Wallraven, C., An, D. & Dangelmaier, M., 2017 Nov 27, SIGGRAPH Asia 2017 Posters, SA 2017. Association for Computing Machinery, Inc, 49

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

  • Augmented reality 100%
  • Virtual reality 84%
  • Acoustic waves 75%
  • Simulators 69%
  1 Citation (Scopus)

• Estimation of brain network atlases using diffusive-shrinking graphs: Application to developing brains

  Rekik, I., Li, G., Lin, W. & Shen, D., 2017, Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Proceedings. Zhu, H., Niethammer, M., Styner, M., Zhu, H., Shen, D., Yap, P-T., Aylward, S. & Oguz, I. (eds.). Springer Verlag, p. 385-397 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10265 LNCS).

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

  • Atlas 100%
  • Shrinking 82%
  • Brain 81%
  • Tensors 61%
  • Graph in graph theory 34%
  17 Citations (Scopus)

• Evaluation of haptic support system for training purposes in a tracking task

  D'Intino, G., Olivari, M., Geluardi, S., Venrooij, J., Innocenti, M., Bulthoff, H. & Pollini, L., 2017 Feb 6, 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2169-2174 6 p. 7844560

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

  • Haptics 100%
  • Training 56%
  • Evaluation 39%
  • Feedback 33%
  • Experiment 12%
  10 Citations (Scopus)

• Evaluation of weight sparsity regularizion schemes of deep neural networks applied to functional neuroimaging data

  Kim, H. C. & Lee, J-H., 2017 Jun 16, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 6150-6154 5 p. 7953338

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

  • Functional neuroimaging 100%
  • Magnetic Resonance Imaging 65%
  • Deep neural networks 55%
  • Brain 47%
  3 Citations (Scopus)

• Extending image area in quasi-common-path phase microscopy

  Tayebi, B. & Han, J. H., 2017, Digital Holography and Three-Dimensional Imaging, DH 2017. OSA - The Optical Society, (Optics InfoBase Conference Papers; vol. Part F47-DH 2017).

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

  • Microscopic examination 100%
  • Microscopes 89%
  • Microsphere 79%
  • Imaging techniques 70%
  • Microspheres 61%

• Fusion of high-order and low-order effective connectivity networks for MCI classification

  Li, Y., Liu, J., Li, K., Yap, P. T., Kim, M., Wee, C. Y. & Shen, D., 2017, Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Proceedings. Shi, Y., Suk, H-I., Suzuki, K. & Wang, Q. (eds.). Springer Verlag, p. 307-315 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10541 LNCS).

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

  • Network Connectivity 100%
  • Fusion 68%
  • Brain 52%
  • Fusion reactions 51%
  • Higher Order 45%

• Human activity prediction based on Sub-volume Relationship Descriptor

  Lee, D. G. & Lee, S. W., 2017 Apr 13, 2016 23rd International Conference on Pattern Recognition, ICPR 2016. Institute of Electrical and Electronics Engineers Inc., p. 2060-2065 6 p. 7899939

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

  • Convolutional neural networks 100%
  • Labeled data 32%
  • Chemical activation 24%
  • Experiments 19%
  • Costs 10%
  7 Citations (Scopus)

• Joint sparse and low-rank regularized multi-task multi-linear regression for prediction of infant brain development with incomplete data

  Adeli, E., Meng, Y., Li, G., Lin, W. & Shen, D., 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Descoteaux, M., Duchesne, S., Franz, A., Jannin, P., Collins, D. L. & Maier-Hein, L. (eds.). Springer Verlag, p. 40-48 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10433 LNCS).

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

  • Incomplete Data 100%
  • Brain 93%
  • Linear regression 86%
  • Prediction 68%
  • Imaging 56%
  5 Citations (Scopus)

• Landmark-based alzheimer’s disease diagnosis using longitudinal structural MR images

  Zhang, J., Liu, M., An, L., Gao, Y. & Shen, D., 2017, Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - MICCAI 2016 International Workshops, MCV and BAMBI, Revised Selected Papers. Arbel, T., Langs, G., Jenkinson, M., Menze, B., Wells III, W. M., Chung, A. C. S., Kelm, B. M., Cai, W., Montillo, A., Metaxas, D., Cardoso, M. J., Zhang, S., Ribbens, A. & Muller, H. (eds.). Springer Verlag, p. 35-45 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10081 LNCS).

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

  • Alzheimer's Disease 100%
  • Landmarks 93%
  • Computational efficiency 34%
  • Tissue 30%
  • Brain 29%

• Learning-based estimation of functional correlation tensors in white matter for early diagnosis of mild cognitive impairment

  Zhang, L., Zhang, H., Chen, X., Wang, Q., Yap, P. T. & Shen, D., 2017, Patch-Based Techniques in Medical Imaging - 3rd International Workshop, Patch-MI 2017 Held in Conjunction with MICCAI 2017, Proceedings. Zhan, Y., Bai, W., Wu, G., Coupe, P., Munsell, B. C. & Sanroma, G. (eds.). Springer Verlag, p. 65-73 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10530 LNCS).

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

  • Tensors 100%
  • Learning 91%
  • Tensor 81%
  • Functional Magnetic Resonance Imaging 34%
  • Magnetic Resonance Imaging 28%

• Local group relationship analysis for group activity recognition

  Lee, D. G., Kim, P. S. & Lee, S. W., 2017 Dec 13, ICCAS 2017 - 2017 17th International Conference on Control, Automation and Systems - Proceedings. IEEE Computer Society, p. 236-238 3 p. (International Conference on Control, Automation and Systems; vol. 2017-October).

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

  • Trajectories 100%
  • Experiments 51%
  4 Citations (Scopus)

• Maximum mean discrepancy based multiple kernel learning for incomplete multimodality neuroimaging data

  Zhu, X., Thung, K. H., Adeli, E., Zhang, Y. & Shen, D., 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Maier-Hein, L., Franz, A., Jannin, P., Duchesne, S., Descoteaux, M. & Collins, D. L. (eds.). Springer Verlag, p. 72-80 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10435 LNCS).

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

  • Multimodality 100%
  • Neuroimaging 96%
  • Alzheimer's Disease 79%
  • Discrepancy 67%
  • Learning 61%
  14 Citations (Scopus)

• Mecurate: Personalized curation service using a tiny text intelligence

  Ryu, W. J., Lee, J. H., Kim, K. M. & Lee, S-G., 2017, 26th International World Wide Web Conference 2017, WWW 2017 Companion. International World Wide Web Conferences Steering Committee, p. 269-272 4 p. (26th International World Wide Web Conference 2017, WWW 2017 Companion).

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

  • Smartphones 100%
  • Data privacy 36%
  • User experience 35%
  • Websites 30%
  8 Citations (Scopus)

• Minimizing trust leaks for robust Sybil detection

  Höner, J., Nakajima, S., Bauer, A., Muller, K. & Görnitz, N., 2017 Jan 1, 34th International Conference on Machine Learning, ICML 2017. International Machine Learning Society (IMLS), Vol. 4. p. 2391-2401 11 p.

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

  • Social Networks 100%
  • Ranking 84%
  • Detectors 64%
  • Exploitation 51%
  • Detector 49%
  1 Citation (Scopus)

• Modeling and analysis of cable vibrations for a cable-driven parallel robot

  Schenk, C., Masone, C., Miermeister, P. & Bülthoff, H. H., 2017 Jan 24, 2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016. Institute of Electrical and Electronics Engineers Inc., p. 454-461 8 p. 7831867. (2016 IEEE International Conference on Information and Automation, IEEE ICIA 2016).

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

  • Parallel Robot 100%
  • Cable 66%
  • Vibration 50%
  • Cables 42%
  • Modeling 34%
  5 Citations (Scopus)

• Multi-label inductive matrix completion for joint MGMT and IDH1 status prediction for glioma patients

  Chen, L., Zhang, H., Thung, K. H., Liu, L., Lu, J., Wu, J., Wang, Q. & Shen, D., 2017, Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - 20th International Conference, Proceedings. Jannin, P., Duchesne, S., Descoteaux, M., Franz, A., Collins, D. L. & Maier-Hein, L. (eds.). Springer Verlag, p. 450-458 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10434 LNCS).

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

  • Matrix Completion 100%
  • Imaging 79%
  • Prognosis 66%
  • Labels 60%
  • Prediction 57%
  8 Citations (Scopus)

• Multi-stage diagnosis of Alzheimer’s disease with incomplete multimodal data via multi-task deep learning

  Thung, K. H., Yap, P. T. & Shen, D., 2017, Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - 3rd International Workshop, DLMIA 2017 and 7th International Workshop, ML-CDS 2017 Held in Conjunction with MICCAI 2017, Proceedings. Arbel, T. & Cardoso, M. J. (eds.). Springer Verlag, p. 160-168 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10553 LNCS).

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

  • Multi-task Learning 100%
  • Alzheimer's Disease 82%
  • Deep learning 52%
  • Neurodegenerative diseases 43%
  • Modality 41%
  36 Citations (Scopus)

• Name nationality classification with recurrent neural networks

  Lee, J., Kim, H., Ko, M., Choi, D., Choi, J. & Kang, J., 2017, 26th International Joint Conference on Artificial Intelligence, IJCAI 2017. Sierra, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 2081-2087 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 0).

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

  Open Access

  • Recurrent neural networks 100%
  • Feature extraction 14%
  18 Citations (Scopus)

• Neural network-based full-reference image quality assessment

  Bosse, S., Maniry, D., Muller, K., Wiegand, T. & Samek, W., 2017 Apr 19, 2016 Picture Coding Symposium, PCS 2016. Institute of Electrical and Electronics Engineers Inc., 7906376

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

  • Image quality 100%
  • Convolutional neural networks 98%
  • Neural networks 65%
  • Chemical activation 64%
  • Convolution 35%
  14 Citations (Scopus)

• Novel neural interface electrode array for the peripheral nerve

  Kim, O., Choi, W., Jung, W., Jung, S., Park, H., Park, J. W. & Kim, J., 2017 Aug 11, 2017 International Conference on Rehabilitation Robotics, ICORR 2017. Ajoudani, A., Artemiadis, P., Beckerle, P., Grioli, G., Lambercy, O., Mombaur, K., Novak, D., Rauter, G., Rodriguez Guerrero, C., Salvietti, G., Amirabdollahian, F., Balasubramanian, S., Castellini, C., Di Pino, G., Guo, Z., Hughes, C., Iida, F., Lenzi, T., Ruffaldi, E., Sergi, F., Soh, G. S., Caimmi, M., Cappello, L., Carloni, R., Carlson, T., Casadio, M., Coscia, M., De Santis, D., Forner-Cordero, A., Howard, M., Piovesan, D., Siqueira, A., Sup, F., Lorenzo, M., Catalano, M. G., Lee, H., Menon, C., Raspopovic, S., Rastgaar, M., Ronsse, R., van Asseldonk, E., Vanderborght, B., Venkadesan, M., Bianchi, M., Braun, D., Godfrey, S. B., Mastrogiovanni, F., McDaid, A., Rossi, S., Zenzeri, J., Formica, D., Karavas, N., Marchal-Crespo, L., Reed, K. B., Tagliamonte, N. L., Burdet, E., Basteris, A., Campolo, D., Deshpande, A., Dubey, V., Hussain, A., Sanguineti, V., Unal, R., Caurin, G. A. D. P., Koike, Y., Mazzoleni, S., Park, H-S., Remy, C. D., Saint-Bauzel, L., Tsagarakis, N., Veneman, J. & Zhang, W. (eds.). IEEE Computer Society, p. 1067-1072 6 p. 8009391. (IEEE International Conference on Rehabilitation Robotics).

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

  • Electric Impedance 100%
  • Peripheral Nerves 96%
  • Electrodes 85%
  • Acoustic impedance 72%
  • Equipment and Supplies 59%
  7 Citations (Scopus)

• Object boundary detection and classification with image-level labels

  Koh, J. Y., Samek, W., Müller, K. R. & Binder, A., 2017, Pattern Recognition - 39th German Conference, GCPR 2017, Proceedings. Roth, V. & Vetter, T. (eds.). Springer Verlag, p. 153-164 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10496 LNCS).

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

  • Object Detection 100%
  • Boundary Detection 95%
  • Image classification 60%
  • Pixel 55%
  • Labels 48%
  1 Citation (Scopus)

• Online impiementation of Top-Down SSVEP-BMI

  Ahn, M. H. & Min, B-K., 2017 Feb 16, 5th International Winter Conference on Brain-Computer Interface, BCI 2017. Institute of Electrical and Electronics Engineers Inc., p. 27-29 3 p. 7858149

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

  • Bioelectric potentials 100%
  • Online systems 46%
  • Rain 42%
  • Decoding 32%
  • Brain 32%
  1 Citation (Scopus)

• OpenBMI: A real-time data analysis toolbox for Brain-Machine Interfaces

  Lee, M. H., Kim, K. T., Kee, Y. J., Jeong, J. H., Kim, S. M., Fazli, S. & Lee, S. W., 2017 Feb 6, 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1884-1887 4 p. 7844513

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

  • Bioelectric potentials 100%
  • Real-time 87%
  • Brain 84%
  • Data analysis 70%
  • Event-related Potentials 66%
  13 Citations (Scopus)

• Pop or not? EEG correlates of risk-Taking behavior In the balloon analogue risk task

  Chen, Y. & Wallraven, C., 2017 Feb 16, 5th International Winter Conference on Brain-Computer Interface, BCI 2017. Institute of Electrical and Electronics Engineers Inc., p. 16-19 4 p. 7858146. (5th International Winter Conference on Brain-Computer Interface, BCI 2017).

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

  • Balloons 100%
  • Electroencephalography 77%
  • Feedback 12%
  • Enterprise resource planning 12%
  • Electrodes 7%
  2 Citations (Scopus)

• Region-wise stochastic pattern modeling for autism spectrum disorder identification and temporal dynamics analysis

  Jun, E. & Suk, H. I., 2017, Connectomics in NeuroImaging - 1st International Workshop, CNI 2017 Held in Conjunction with MICCAI 2017, Proceedings. Bonilha, L., Wu, G., Laurienti, P. & Munsell, B. C. (eds.). Springer Verlag, p. 143-151 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10511 LNCS).

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

  • Dynamic Analysis 100%
  • Disorder 91%
  • Hidden Markov models 81%
  • Dynamic analysis 72%
  • Magnetic Resonance Imaging 61%
  1 Citation (Scopus)

• Robust construction of diffusion mri atlases with correction for inter-subject fiber dispersion

  Yang, Z., Chen, G., Shen, D. & Yap, P. T., 2017, Computational Diffusion MRI - MICCAI Workshop. Fuster, A., Kaden, E., Ghosh, A., Reisert, M. & Rathi, Y. (eds.). Springer Heidelberg, p. 113-121 9 p. (Mathematics and Visualization).

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

  • Atlas 100%
  • Fiber 63%
  • Fibers 50%
  • Voxel 40%
  • Mean Shift 40%
  2 Citations (Scopus)

• Segmentation of craniomaxillofacial bony structures from MRI with a 3D deep-learning based cascade framework

  Nie, D., Wang, L., Trullo, R., Li, J., Yuan, P., Xia, J. & Shen, D., 2017, Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Proceedings. Shi, Y., Suk, H-I., Suzuki, K. & Wang, Q. (eds.). Springer Verlag, p. 266-273 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10541 LNCS).

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

  • Magnetic Resonance Imaging 100%
  • Segmentation 82%
  • Cascade 71%
  • Magnetic resonance imaging 71%
  • Learning 61%
  19 Citations (Scopus)

• Segmentation of Organs at Risk in thoracic CT images using a SharpMask architecture and Conditional Random Fields

  Trullo, R., Petitjean, C., Ruan, S., Dubray, B., Nie, D. & Shen, D., 2017 Jun 15, 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society, p. 1003-1006 4 p. 7950685. (Proceedings - International Symposium on Biomedical Imaging).

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

  • Organs at Risk 100%
  • Thorax 54%
  • Radiotherapy 48%
  • Deep Learning 26%
  • Computer Neural Networks 25%
  63 Citations (Scopus)

• Self-paced training on motor imagery-based BCI for minimal calibration time

  Kim, S. M., Lee, M. H. & Lee, S. W., 2017 Nov 27, 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. Institute of Electrical and Electronics Engineers Inc., p. 2297-2301 5 p. (2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017; vol. 2017-January).

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

  • Brain-computer Interface 100%
  • Imagery 80%
  • Brain computer interface 62%
  • Calibration 59%
  • Training 58%
  3 Citations (Scopus)

• Shifting stimuli for brain computer interface based on rapid serial visual presentation

  Won, D. O., Hwang, H. J., Müller, K. R. & Lee, S. W., 2017 Feb 16, 5th International Winter Conference on Brain-Computer Interface, BCI 2017. Institute of Electrical and Electronics Engineers Inc., p. 40-41 2 p. 7858152. (5th International Winter Conference on Brain-Computer Interface, BCI 2017).

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

  • Brain computer interface 100%
  2 Citations (Scopus)

• Siginterface: A personalized Interface for intelligent services

  Ryu, W. J., Oh, H. & Lee, S-G., 2017 Sept 11, UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers. Association for Computing Machinery, Inc, p. 185-188 4 p. (UbiComp/ISWC 2017 - Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers).

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

  • Smartphones 100%
  • Servers 77%
  2 Citations (Scopus)

• Single-trial analysis of readiness potentials for lower limb exoskeleton control

  Jeong, J. H., Lee, M. H., Kwak, N. S. & Lee, S. W., 2017 Feb 16, 5th International Winter Conference on Brain-Computer Interface, BCI 2017. Institute of Electrical and Electronics Engineers Inc., p. 50-52 3 p. 7858156. (5th International Winter Conference on Brain-Computer Interface, BCI 2017).

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

  • Robots 100%
  • Discriminant analysis 83%
  • Classifiers 55%
  • Communication 39%
  • Experiments 27%
  15 Citations (Scopus)

• Sparse multi-view task-centralized learning for ASD diagnosis

  Wang, J., Wang, Q., Wang, S. & Shen, D., 2017, Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Proceedings. Shi, Y., Suk, H-I., Suzuki, K. & Wang, Q. (eds.). Springer Verlag, p. 159-167 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10541 LNCS).

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

  • Disorder 100%
  • Learning 80%
  • Neuroimaging 38%
  • Magnetic Resonance Imaging 33%
  • Brain 24%
  1 Citation (Scopus)

• Structural connectivity guided sparse effective connectivity for MCI identification

  Li, Y., Liu, J., Luo, M., Li, K., Yap, P. T., Kim, M., Wee, C. Y. & Shen, D., 2017, Machine Learning in Medical Imaging - 8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Proceedings. Shi, Y., Suk, H-I., Suzuki, K. & Wang, Q. (eds.). Springer Verlag, p. 299-306 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10541 LNCS).

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

  • Connectivity 100%
  • Brain 96%
  • Magnetic Resonance Imaging 62%
  • Functional Magnetic Resonance Imaging 60%
  • Network Structure 55%
  2 Citations (Scopus)

• Time domain EEG Analysis for evaluating the effects of driver's mental work load during simulated driving

  Kim, J. P. & Lee, S. W., 2017 Feb 16, 5th International Winter Conference on Brain-Computer Interface, BCI 2017. Institute of Electrical and Electronics Engineers Inc., p. 79-80 2 p. 7858165

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

  • Electroencephalography 100%
  • Brain 85%
  • Highway accidents 57%
  • Discriminant analysis 55%
  • Simulators 37%
  4 Citations (Scopus)

• Towards an EEG-based intelligent wheelchair driving system with vibro-tactile stimuli

  Kim, K. T. & Lee, S. W., 2017 Feb 6, 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2382-2385 4 p. 7844595. (2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings).

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

  • Electroencephalography 100%
  • Wheelchairs 75%
  • Paradigm 47%
  • Bioelectric potentials 41%
  • Brain-computer Interface 29%
  16 Citations (Scopus)

• Understanding and Comparing Deep Neural Networks for Age and Gender Classification

  Samek, W., Binder, A., Lapuschkin, S. & Muller, K. R., 2017 Jul 1, Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017. Institute of Electrical and Electronics Engineers Inc., p. 1629-1638 10 p. (Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017; vol. 2018-January).

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

  • Deep neural networks 100%
  • Network architecture 32%
  • Set theory 22%
  • Neural networks 20%
  74 Citations (Scopus)

• Utilizing Wikipedia knowledge in open directory project-based text classification

  Shin, H. Y., Lee, G. J., Ryu, W. J. & Lee, S-G., 2017 Apr 3, 32nd Annual ACM Symposium on Applied Computing, SAC 2017. Association for Computing Machinery, p. 309-314 6 p. (Proceedings of the ACM Symposium on Applied Computing; vol. Part F128005).

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

  • Semantics 100%
  • Glossaries 47%
  8 Citations (Scopus)

• Variable force-stiffness haptic feedback for learning a disturbance rejection task

  Bufalo, F., Olivari, M., Geluardi, S., Gerboni, C. A., Pollini, L. & Bulthoff, H., 2017 Nov 27, 2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2017-January. p. 1517-1522 6 p.

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

  • Haptics 100%
  • Disturbance Rejection 77%
  • Disturbance rejection 58%
  • Stiffness 58%
  • Learning 48%
  7 Citations (Scopus)

• Visual analysis of corrupted video data in video event data recorders

  Pyo, Y., Lee, C. & Lee, H., 2017 Oct 18, 2017 IEEE Conference on Dependable and Secure Computing. Institute of Electrical and Electronics Engineers Inc., p. 453-458 6 p. 8073828. (2017 IEEE Conference on Dependable and Secure Computing).

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

  • Curve fitting 100%
  • Law enforcement 98%
  • Visualization 68%
  • Recovery 59%
  1 Citation (Scopus)

• VUDDY: A Scalable Approach for Vulnerable Code Clone Discovery

  Kim, S., Woo, S., Lee, H. & Oh, H., 2017 Jun 23, 2017 IEEE Symposium on Security and Privacy, SP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 595-614 20 p. 7958600

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

  • Open source software 100%
  • Scalability 71%
  • Cloning 39%
  • Ecosystems 31%
  • Software engineering 23%
  181 Citations (Scopus)

• Why build an integrated EEG-NIRS? about the advantages of hybrid bio-acquisition hardware

  Von Luhmann, A. & Muller, K. R., 2017 Sept 13, 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 4475-4478 4 p. 8037850. (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

  • Electroencephalography 100%
  • Timing jitter 76%
  • Computer hardware 60%
  • Crosstalk 58%
  • Hybrid systems 50%
  4 Citations (Scopus)