International Journal Papers

International Journal Papers (*: corresponding author)

• H. Kimǂ, J. Gwakǂ, C. M. Park, “Potential of deep learning for denoising low-dose chest CT scans: Comparison with commercial iterative reconstruction algorithm”, in preparation

• J. Gwak*, J.-I. Song and S.-W. Lee, “Diagnosis of Alzheimer’s Disease based on an Adaptive Multiple Kernel Boosting Approach,” submitted

• J. Gwak*, J-I. Song, “Facilitating Abnormal Behavior Detection for Analysis of Daily Living Activities using Multi-Task Deep Neural Networks,” submitted

• J. Gwak*, J-I. Song, “Temporal Convolutional Neural Networks for Robust Moving Object Segmentation,” submitted

• J. Gwak*, “Evolutionary Bayesian Learning Approach for Predicting Preference of Negotiation Agents with Incomplete Information,” submitted

• J. Gwak*, “Evolutionary Fuzzy Medical Image Segmentation using Deep Features,” Under revision. 

• J. Gwak*, S.-W. Lee, J.-I. Song, “3D Spatio-Temporal Region-based Convolutional Neural Networks for Early Diagnosis of Alzheimer’s Disease,” in preparation

• J. Gwak*, T.K.K. Ho, “Towards Deep Learning Approaches for Learning Structure Motifs and Classifying Biological Sequences from RNA A-To-I Editing Events”, Bioinformatics, submitted.

• J. Gwak*, “Data Association facilitated by 3D Spatio-Temporal Convolutional Neural Networks for Multi-object Visual Tracking” submitted.

• J. Gwak*, “Artificial Intelligence Methods for Dental Image Analysis: State-of-the-art Reviews,” revision submitted

• J. Gwak*, “Compact Sparse Representation-based Real-time Visual Anomaly Detection,” revision submitted

• T. Nguyen, M. Kim, J. Gwak, J-J. Lee, K-Y. Choi, K-H. Lee, and J. G. Kim “Investigation of brain functional connectivity in mild cognitive impairment patients: a fNIRS study”, Journal of Biophotonics, in press (SCI, JCR 2017 IF=3.768)

• K-Y. Sim, S-H. Park, K-Y. Choi, J-E. Park, J-S. Lee, B. C. Kim, J. Gwak, W-K. Song, K-H. Lee*, S-G. Park*, “Epitope profiling of plasma antibody in Alzheimer’s disease dementia patients”, Scientific Reports, in press (SCI, JCR 2017 IF=4.122)

• J. Kang, J. Gwak*, “Ensemble of Instance Segmentation Models for Polyp Segmentation in Colonoscopy Images”, IEEE Access, 2019, in press (SCIE, JCR 2017 IF=3.557)

• T.K.K. Ho, J. Gwak*, C. M. Park, J-I. Song, “Discrimination of Mental Workload Level from Multi-Channel fNIRS using Deep Leaning-based Approaches”, IEEE Access, 2019, in press (SCIE, JCR 2017 IF=3.557)

• O. Prakash, C. M. Park, A. Khare, M. Jeon, J. Gwak*, “Multiscale Fusion of Multimodal Medical Images using Lifting Scheme based Biorthogonal Wavelet Transform,” Optik, vol. 128, pp. 995–1014, 2019 (SCI, JCR 2017 IF=1.191)

• H. Kim, C. M. Park*, J. Gwak, E. J. Hwang, S. Y. Lee, J. Jung, H. Hong, J. M. Goo, “Effect of CT Reconstruction Algorithm on the Diagnostic Performance of Radiomics Models: A Task-Based Approach for Pulmonary Subsolid Nodules,”, American Journal of Roentgenology, vol. 212, pp. 1–7, 2019. (SCI, JCR 2017 IF=3.125)

• C. Kim, J. Gwak, D. Shim*, and M. Jeon, “A framework for automatically constructing a dataset for training a vehicle detector,” International Journal of Computational Vision and Robotics, 2018, Inderscience, in press (Scopus)

• Ÿ   C. Lim, J. Gwak, and M. Jeon*, “Configuration of a min-cost flow network for data association in multi-object tracking,” International Journal of Computational Vision and Robotics, 2018, Inderscience, vol. 8, no. 6, pp.572 – 590, 2018. (Scopus) DOI: 10.1504/IJCVR.2018.10016429

• Ÿ   O. Prakash, J. Gwak, M. Khare, A. Khare and M. Jeon, “Human detection in complex real scenes based on combination of biorthogonal wavelet transform and Zernike moments,” Optik - International Journal for Light and Electron Optics, vol. 157, pp. 1267­–1281, 2018. (SCI, JCR 2017 IF=1.191)

• J. Gwak*, “Multi-object tracking through learning relational appearance features and motion patterns,” Computer Vision and Image Understanding, vol. 162, pp. 103–115, 2017. (SCI, JCR 2016 IF=2.498)

• R. K. Lama, J. Gwak, J-S. Park, S-W. Lee*, “Diagnosis of Alzheimer’s disease based on structural MRI images using a regularized extreme learning machine and PCA features,” Journal of Healthcare Engineering, vol. 2017, article ID 5485080, 11 pages, 2017. (SCIE)

• J. Gwakǂ, G. Parkǂ, and M. Jeon*, “Viewpoint invariant person re-identification for global multi-object tracking with non-overlapping cameras,” KSII Transactions on Internet and Information Systems, vol. 11, no. 4, pp. 2075­–2092, 2017. (SCIE)

• E. Yang, J. Gwak, M. Jeon*, “CRF-Boosting: Constructing a robust online hybrid boosting multiple object trackers facilitated by CRF learning,” Sensors, vol. 17, no. 3, pp. 617:1–617:18, 2017. (SCIE, JCR 2016 IF=2.677)

• E. Yang, J. Gwak and M. Jeon*, “Multi-human tracking using part-based appearance modelling and grouping-based tracklet association for visual surveillance applications,” Multimedia Tools and Applications, vol. 76, no. 5, pp. 6731–6754, 2017. (SCIE, JCR 2016 IF=1.530).

• J. Gwak, M. Jeon* and W. Pedrycz, “Bolstering efficient SSGAs based on an ensemble of probabilistic variable-wise crossover strategies,” Soft Computing, vol. 20, no. 6, pp. 2149–2176, 2016. (SCIE, JCR 2016 IF=2.472).

• J. Gwak, and K. M. Sim and M. Jeon*, “Novel dynamic diversity controlling EAs for coevolving optimal negotiation strategies,” Information Sciences, vol. 273, pp. 1–32, 2014. (SCI, JCR 2016 IF=4.832, 4 citations, Cover Paper, [7/146, 4.795%, Computer Science, Information Systems]).

• J. Gwak and K. M. Sim*, “A novel method for coevolving PS-optimizing negotiation strategies using improved diversity controlling EDA,” Applied Intelligence, vol. 38, no. 3, pp. 384–417, 2013. (SCI, JCR 2016 IF=1.904)

• J. Gwak* and K. M. Sim, “An augmented EDA with dynamic diversity control and local neighborhood search for coevolution of optimal negotiation strategies,” Applied Intelligence, vol. 38, no. 4, pp. 600–619, 2013. (SCI, JCR 2016 IF=1.904).

• S. Lee, J. Gwak and M. Jeon*, “Vehicle model recognition in video,” International Journal of Signal Processing, Image Processing and Pattern Recognition, vol. 6, no. 2, 2013.