Publications

Some selected journals:

Signal Processing (EURASIP Association)

Journal of Digital Imaging (SIIM Society)

Multimedia Tools and Applications

IEEE/CAA Journal of Automatica Sinica (IEEE and CAA)

Note: Impact Factor and Quartile are reported at the publishing time.

Journals:

[J58]. NQK Ha, NTT Huyen, MTM Uyen, NQ Viet, NN Quang, Dang N. H. Thanh. Customer Intent Mining from Service Inquiries with Newly Improved Deep Embedded Clustering. Journal of Uncertain Systems, 2024 (Scopus). [Link]

[J57]. LM Hieu, NHN Xuan, Dang N. H. Thanh. On the nonstandard maximum principle and its application for construction of monotone finite-difference schemes for multidimensional quasilinear parabolic equations. Ukrainian Mathematical Journal 76(1):132-146, 2024 (Scopus, Web of Science/SCIE, IF 0.5, Q3). [Link]

[J56]. B Fu, S Fu, Y Wu, Y Mao, Y Ren, Dang N. H. Thanh. Deep non-blind deblurring network for saturated blurry images. Neural Computing and Applications x, 2024 (In press, Scopus, Web of Science/SCIE, IF 6, Q2). [Link]

[J55]. J Zhang, C Yang, A, Miao, X Li, R Zhang, Dang N. H. Thanh. 3D Graph Convolutional Feature Selection and Dense Pre-estimation for Skeleton Action Recognition. IEEE Access 12, 2024 (Scopus, Web of Science/SCIE, IF 3.9, Q2). [Link]

[J54]. Q Song, X Li, M Zhang, X Zhang, Dang N. H. Thanh. APNet: Adaptive projection network for medical image denoising. Journal of X-Ray Science and Technology 32(1):1-15, 2024 (Scopus, Web of Science/SCIE, IF 3, Q2). [Link]

[J53]. Z Jiao, R Wang, X Zhang, B Fu, Dang N. H. Thanh. A hybrid attention network with convolutional neural network and transformer for underwater image restoration. PeerJ Computer Science 9:e1559, 2023 (Scopus, Web of Science/SCIE, IF 3.8, Q2). [Link]

[J52]. Chinedu Nwaigwe, Azubuike Weli, Dang N. H. Thanh. Fourth-Order Trapezoid Algorithm with Four Iterative Schemes for Nonlinear Integral Equations. Lobachevskii Journal of Mathematics 2023(7): 2817–2832, 2023 (Scopus, Web of Science/ESCI, IF 0.7, Q2). [Link]

[J51]. Mohammad Mortazavi T., Omid Mahdi Ebadati E., Dang N. H. Thanh, Tudor Barbu. Detecting Images with Adult Content Using SURF and Haar Wavelet. Romanian Journal of Information Science and Technology 26(2): 137–150, 2023 (Scopus, Web of Science/SCIE, IF 3.5, Q2). [Link]

[J50]. Gai R.L.; Zhang H.; Dang N. H. Thanh. A Big Data Cleaning Method for Drinking-Water Streaming Data. Brazilian Archives of Biology and Technology 66: e23220365, 2023 (Scopus, Web of Science/SCIE, IF 1, Q4). [Link]

[J49]. Ouyang, J.; Zhang, Z.; Meng, Q.; Li, X.; Dang N. H. Thanh. Adaptive prototype and consistency alignment for semi-supervised domain adaptation. Multimedia Tools and Applications 83: 9307–9328, 2023 (Scopus, Web of Science/SCIE, IF 2.577, Q2). [Link]

[J48]. Ouyang, J., Liu, S., Peng, H., Garg H., Dang N. H. Thanh. LEA U-Net: a U-Net-based deep learning framework with local feature enhancement and attention for retinal vessel segmentation. Complex Intell. Syst. 9(6): 6753–6766, 2023 (Scopus, Web of Science/SCIE, IF 6.700, Q1). [Link]

[J47]. J. Fu, A. Cheng, Z. Yan, S. Zhu, X. Zhang, Dang N. H. Thanh. Visual analytics of spatio-temporal urban mobility patterns via network representation learning. Multimedia Tools and Applications x, 2023 (In press, Scopus, Web of Science/SCIE, IF 2.577, Q2). [Link]

[J46]. Y. Ren, W. Xu, Y. Mao, B. Fu, Dang N. H. Thanh. Few-Shot Learning for Dermatological Conditions with Lesion Area Aware Swin Transformer. International Journal of Imaging Systems and Technology 33(5): 1549-1560, 2023 (Scopus, Web of Science/SCIE, IF 2.177, Q2). [Link]

[J45]. Ximing Li, Bing Wang, Yue Wang, Jihong Ouyang, Harish Garg, Dang N. H. Thanh. Weakly supervised prototype topic model with discriminative seed words: modifying the category prior by self-exploring supervised signals. Soft Computing 27: 5397–5410, 2023 (Scopus, Web of Science/SCIE, IF 3.732, Q2). [Link]

[J44]. Fu B., Zhang X., Wang L., Ren Y., Dang N. H. Thanh. Double enhanced residual network for biological image denoising. Gene Expression Patterns 45, 2022 (Scopus, Web of Science/SCIE, IF 1.488, Q3). [Link]

[J43]. Mao Y., Zhang T., Fu B., Dang N. H. Thanh. A Self-Attention based Wasserstein Generative Adversarial Networks for Single Image Inpainting. Pattern Recognition and Image Analysis, 32: 591–599, 2022 (Scopus, Web of Science/ESCI, Q3). [Link]

[J42]. Satti P., Shrotriya V., Garg B., Dang N. H. Thanh. Intensity bound limit filter for high density impulse noise removal. Journal of Ambient Intelligence and Humanized Computing 14: 12453–12475, 2022 (Scopus, Web of Science/SCIE, IF 3.662, Q1). [Link]

[J41]. N. N. Hien, D. N. H. Thanh, U. Erkan and J. M. R. S. Tavares. Image Noise Removal Method Based on Thresholding and Regularization Techniques. IEEE Access 10, 2022. (Scopus, Web of Science/SCIE, IF 3.476, Q1) [Link][CODE]

[J40]. F Bo, Y Dong, S Fu, Y Wu, Y Ren, Dang N. H. Thanh. Multi-stage supervised contrastive learning for hybrid-degraded image restoration. Signal Image and Video Processing 17: 573–581, 2022 (Scopus, Web of Science/SCIE, IF 2.157, Q2). [Link]

[J39]. G Harish, Dang N. H. Thanh, RMA Rikz. VIKOR Approach for Bi-Level Multi-criteria Nonlinear Fractional Programming Problems: New insights. Kybernetes 52(10): 4375-4400, 2022 (Web of Science/SCIE, Scopus, IF 2.352, Q2). [Link]

[J38]. Subrato Bharati, Prajoy Podder, Dang N. H. Thanh, Surya Prasath. Dementia Classification Using MR Imaging and Clinical Data with Voting based Machine Learning Models. Multimedia Tools and Applications 81: 25971–25992, 2022. doi:10.1007/s11042-022-12754-x. (Scopus, Web of Science/SCIE, IF 2.757, Q1). [Link]

[J37]. Fu Bo, Zhang Xiangyi, Wang Liyan, Ren Yonggong, Dang N. H. Thanh. A Blind Medical Image Denoising Method with Noise Generation Network. Journal of X-Ray Science and Technology 30(3): 531-547, 2022. doi:10.3233/XST-211098. (Scopus, Web of Science/SCIE, IF 2.442, Q2). [Link]

[J36]. U Erkan, A Toktas, S Enginoğlu, E Karabacak, Dang N. H. Thanh. An Image Encryption Scheme Based on Chaotic Logarithmic Map and Key Generation using Deep CNN. Multimedia Tools and Applications 81: 7365–7391, 2022. doi:10.1007/s11042-021-11803-1. (Scopus, Web of Science/SCIE, IF 2.757, Q1). [Link]

[J35]. Truong Thanh Tai, Dang N. H. Thanh, Nguyen Quoc Hung. A Dish Recognition Framework Using Transfer Learning. IEEE Access 10, 2022. (Scopus, Web of Science/SCIE, IF 3.476, Q1). [Link][Dataset][Software]

[J34]. Fu, B, Dong, Y, Fu, S, Mao, Y, Dang N. H. Thanh. Learning domain transfer for unsupervised magnetic resonance imaging restoration and edge enhancement. Int J Imaging Syst Technol 32(1): 7365–7391. 2021; 1- 11. doi:10.1002/ima.22658. (Scopus, Web of Science/SCIE, IF 2.00, Q2). [Link]

[J33]. Yadav, N., Alfayeed, S. M., Khamparia, A., Pandey, B., Dang N. H. Thanh, & Pande, S. (2021). HSV model-based segmentation driven facial acne detection using deep learning. Expert Systems 39(3): e12760. doi:10.1111/exsy.12760. (Scopus, Web of Science/SCIE, IF 2.587, Q2). [Link]

[J32]. Dang N. H. Thanh, Nguyen Hoang Hai, Le Minh Hieu, Prayag Tiwari, and Surya Prasath. Skin lesion segmentation method for dermoscopic images with convolutional neural networks and semantic segmentation. Computer Optics 45(1): 122-129, 2021 (Scopus, Web of Science/ESCI, Q1). [Link]

[J31]. Aditya Khamparia, Subrato Bharati, Prajoy Podder, Deepak Gupta, Ashish Khanna, Thai Kim Phung, and Dang N. H. Thanh. Diagnosis of breast cancer based on modern mammography using hybrid transfer learning. Multidimensional Systems and Signal Processing 32(2): 747-765, 2021 (Scopus, Web of Science/SCIE, IF 1.810, Q1). [Link]

[J30]. Dang N. H. Thanh, Le Thi Thanh, Ugur Erkan, Khamparia A., and Surya Prasath. Dermoscopic image segmentation method based on convolutional neural networks. Int. J. Computer Applications in Technology, 2021 (In press, Scopus, Web of Science/ESCI, Q2). [Link]

[J29]. Dang N. H. Thanh, V. B. S. Prasath, Thai Kim Phung, and Nguyen Quoc Hung. Impulse denoising based on noise accumulation and harmonic analysis techniques. Optik - International Journal for Light and Electron Optics 228: 166163, 2021 (Scopus, Web of Science/SCIE, IF 2.187, Q2). [CODE] [Link] [Project CS.2020.16, UEH]

[J28]. V. B. S. Prasath, Dang N. H. Thanh, Le Minh Hieu, and Le Thi Thanh. Compression artifacts reduction with multiscale tensor regularization. Multidimensional Systems and Signal Processing 32(2): 521-531, 2021 (Scopus, Web of Science/SCIE, IF 1.810, Q1). [Link]

[J27]. Dang N. H. Thanh, Surya Prasath, Sergey Dvoenko and Le Minh Hieu . An Adaptive Image Inpainting Method Based on Euler's Elastica with Adaptive Parameters Estimation and the Discrete Gradient Method. Signal Processing 178: 107797, 2021 (Scopus, Web of Science/SCIE, IF 4.384, Q1). [CODE] [Link].

[J26]. Madhavan M.V., Dang N. H. Thanh, Khamparia A., Pande S., Malik R. and Gupta D. Recognition and classification of pomegranate leaves diseases by image processing and machine learning techniques. CMC-Computers, Materials & Continua 66(3): 2939–2955, 2021 (Scopus, Web of Science/SCIE, IF 4.89, Q1). [Link].

[J25]. V. B. S. Prasath, Dang N. H. Thanh, N. Q. Hung and L. M. Hieu . Multiscale Gradient Maps Augmented Fisher Information-Based Image Edge Detection. IEEE Access 8: 141104-141110 , 2020 (Scopus, Web of Science/SCIE, IF 3.745, Q1). [Link]

[J24]. Chinthaka Premachandra, Dang N. H. Thanh, Tomotaka Kimura,, Hiroharu Kawanaka. A Study on Hovering Control of Small Aerial Robot by Sensing Existing Floor Features. IEEE/CAA Journal of Automatica Sinica 7(4): 1016-1025, 2020 (Scopus, Web of Science/SCIE, IF 5.129, Q1). [Link]

[J23]. Le Minh Hieu, Nguyen Thi Hieu Hanh, Dang N. H. Thanh. A Finite-Difference Scheme for Initial Boundary Value Problem of the Gamma Equation in the Pricing of Financial Derivatives. Journal of Mathematics and Computer Science 20(4): 283-291, 2020 (Scopus, Web of Science/ESCI, Q4). 

[J22]. V. B. Surya Prasath, Dang N. H. Thanh, Le Thi Thanh, Nguyen Quang San, Sergey Dvoenko. Human Visual System Consistent Model for Wireless Capsule Endoscopy Image Enhancement and Applications. Pattern Recognition and Image Analysis 30(3): 280–287, 2020 (Scopus, Web of Science/ESCI, Q3). [Link]

[J21]. Dang N. H. Thanh, Le Thi Thanh, Nguyen Ngoc Hien, Surya Prasath. Adaptive Total Variation L1 Regularization for Salt and Pepper Image Denoising. Optik - International Journal for Light and Electron Optics 208, 2020 (Scopus, Web of Science/[SCI+SCIE], IF 2.187, Q2). [CODE] [Link].

[J20]. Le Minh Hieu, Truong Thi Hieu Hanh, Dang N. H. Thanh. Monotone Finite-Difference Schemes with Second Order Approximation Based on Regularization Approach for the Dirichlet Boundary Problem of the Gamma Equation. IEEE Access 8: 45119-45132, 2020 (Scopus, Web of Science/SCIE, IF 4.098, Q1). [Link]

[J19]. Le Minh Hieu, Dang N. H. Thanh, Surya Prasath. Second Order Monotone Difference Schemes with Approximation on Non-Uniform Grids for Two-Dimensional Quasilinear Parabolic Convection-Diffusion Equations. Vestnik St. Petersburg University, Mathematics 53(2): 232-240, 2020 (Scopus, Web of Science, Q3). [Link]

[J18]. Dang N. H. Thanh, Nguyen N. Hien, Kalavathi P., Surya Prasath. Adaptive Switching Weight Mean Filter for Salt and Pepper Image Denoising. Procedia Computer Science 171: 292-301, 2020 (Scopus, Q2). [CODE] [Link]

[J17]. Dang N. H. Thanh, Kalavathi P., Le T. Thanh, Surya Prasath. Chest X-Ray Image Denoising Using Nesterov Optimization Method with Total Variation Regularization. Procedia Computer Science 171: 1961-1969, 2020 (Scopus, Q2). [Link]

[J16]. Dang N. H. Thanh, Nguyen Hoang Hai, Surya Prasath, Le Minh Hieu, Joao Manuel Tavares. A Two-Stage Filter for High Density Salt and Pepper Denoising. Multimedia Tools and Applications 79: 21013–21035, 2020 (Scopus, Web of Science/SCIE, IF 2.313, Q1). [CODE] [Link]

[J15]. Dang N. H. Thanh, Surya Prasath, Le Minh Hieu, Nguyen Ngoc Hien. Melanoma Skin Cancer Detection Method Based on Adaptive Principal Curvature, Colour Normalisation and Feature Extraction with the ABCD Rule. Journal of Digital Imaging 33(3): 574–585, 2020 (Scopus, Web of Science/[SCI+SCIE], IF 3.697, Q1). [Link]

[J14]. Ugur Erkan, Sedar Enginoglu, Dang N. H. Thanh, Le Minh Hieu. Adaptive Frequency Median Filter for the Salt and Pepper Denoising Problem. IET Image Processing 14(7): 1291 – 1302, 2020 (Scopus, Web of Science/[SCI+SCIE], IF 2.004, Q2). [CODE] [Link]

[J13]. Dang N. H. Thanh, Surya Prasath, Le Minh Hieu, Sergey Dvoenko. An Adaptive Method for Image Restoration Based on High Order Total Variation and Inverse Gradient. Signal, Image and Video Processing 14(6): 1189–1197, 2020 (Scopus, Web of Science/SCIE, IF 1.894, Q2). [CODE] [Link]

[J12]. Dang N. H. Thanh, Surya Prasath, Nguyen Van Son, Le Minh Hieu. An Adaptive Image Inpainting Method Based on the Modified Mumford-Shah Model and Multiscale Parameter Estimation. Computer Optics 43 (2): 251-257, 2019 (Scopus, Web of Science/ESCI, Q1). [CODE] [Link]

[J11]. Nguyen Hoang Hai, Le Minh Hieu, Dang N. H. Thanh, Nguyen Van Son, Surya Prasath. An Adaptive Image Inpainting Method Based on the Weighted Mean. Informatica 43(4): 507–513, 2019 (Scopus, Web of Science/ESCI, Q4). [Link]

[J10]. Ugur Erkan, Dang N. H. Thanh, Le Minh Hieu, Sedar Enginoglu. An Iterative Mean Filter for Image Denoising. IEEE Access 7: 167847-167859, 2019 (Scopus, Web of Science/SCIE, IF 4.098, Q1). [CODE] [Link]

[J9]. Le Minh Hieu, Nguyen Thi Hieu Hanh, Dang N. H. Thanh. VNU Journal of Science: Mathematics – Physics 35(4): 79-86, 2019.

[J8]. Le Minh Hieu, Nguyen Thi Hieu Hanh, Dang N. H. Thanh. Finite-Difference Method for the Gamma Equation on Non-uniform Grids. Vietnam Journal of Science, Technology and Engineering 61(4): 3-8, 2019.

[J7]. Ugur Erkan, Dang N. H. Thanh. Autism Spectrum Disorder Detection with Machine Learning Methods. Current Psychiatry Research and Reviews 15(4): 297-308, 2019 (Scopus, Web of Science/ESCI, Q3). [Link]

[J6]. Dang N. H. Thanh, Surya Prasath, Le Minh Hieu. A Review on CT and X-Ray images denoising methods. Journal of Informatica 43 (2): 151-159, 2019 (Scopus, Web of Science/ESCI, Q4). [Link]

[J5]. Surya Prasath, Dang N. H. Thanh. Structure tensor adaptive total variation for image restoration. Turkish Journal of Electrical Engineering & Computer Sciences 27(2): 1147-1156, 2019 (Scopus, Web of Science/SCIE, IF 0.625, Q3). [Link]

[J4]. Dang N. H. Thanh. A variational approach to denoising problem. Electronic letter on computer vision and image analysis (ELCVIA, Barcelona, Spain) 15(2): 19-21, 2016 (Scopus, Q4). [Link]

[J3]. Dang N. H. Thanh, S. D. Dvoenko. A method of total variation to remove the mixed Poisson-Gaussian noise. Pattern Recognition and Image Analysis 26(2): 285-293, 2016 (Scopus, Web of Science/ESCI, Q3). [Link]

[J2]. Dang N. H. Thanh, S.D. Dvoenko. A Mixed Noise Removal Method Based on Total Variation. Informatica 40(2): 159-167, 2016 (Scopus, Web of Science/ESCI, Q3). [Link]

[J1]. Dang N. H. Thanh, S.D. Dvoenko. Image noise removal based on total variation. Computer Optics 39(4): 564-571, 2015 (Scopus, Web of Science/ESCI, Q2). [Link]

Conference Proceedings:

[C27]. Ajagbe, S., Adesina, A., Ilupeju, O., Thanh, L., Dang N. N. Thanh (2021). Challenges and Perceptions in the Use of ICT in Student Assessments During the Covid-19 Pandemic. In 2021 IEEE International Conference on Information Technology, Computer and Electrical Engineering (ICITACEE).

[C26]. Le Thi Thanh, Dang N. H. Thanh, Nguyen Ngoc Hien, Ugur Erkan, V. B. S. Prasath. Single Image Dehazing with Optimal Color Channels and Nonlinear Transformation. Proceedings of 2020 IEEE Eighth International Conference on Communications and Electronics (IEEE-ICCE 2020), Phu Quoc, 2021 (Web of Science, Scopus). 

[C25]. Ugur Erkan, Dang N. H. Thanh, Sedar Enginoglu, Samet Memis. Improved Adaptive Weighted Mean Filter for Salt-and-Pepper Noise Removal. Proceedings of IEEE The 2nd International Conference on Electrical, Communication and Computer Engineering (ICECCE 2020), Istanbul (Web of Science, Scopus).  [CODE][Link]

[C24]. Dang N. H. Thanh, Le Thi Thanh, Surya Prasath, Ugur Erkan. An Improved BPDF Filter for High Density Salt and Pepper Denoising. Proceeding of the IEEE International Conference on Research, Innovation and Vision for the Future (RIVF), Danang, 2019 (Web of Science, Scopus).  [Link]

[C23]. Dang N. H. Thanh, Nguyen Van Son, Surya Prasath. Distorted Image Reconstruction Method with Trimmed Median. Proceeding of the IEEE 3th International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom), Hanoi, 2019 (Web of Science, Scopus).  [Link]

[C22]. Dang N. H. Thanh, Surya Prasath, Le Minh Hieu, Hiroharu Kawanaka. Image Inpainting Method Based on Mixed Median. Proceeding of the IEEE Joint 8th International Conference on Informatics, Electronics & Vision (ICIEV) & 3rd International Conference on Imaging, Vision & Pattern Recognition (IVPR), Washington, 2019 (Web of Science, Scopus).  [Link]

[C21]. Dang N. H. Thanh, Ugur Erkan, Surya Prasath, Vivek Kumar, Nguyen Ngoc Hien. A Skin Lesion Segmentation Method for Dermoscopic Images Based on Adaptive Thresholding with Normalization of Color Models. Proceeding of the IEEE the 6th International Conference on Electrical and Electronics Engineering ICEEE 2019, Istanbul, 2019 (Web of Science, Scopus).  [Link]

[C20]. Ugur Erkan, Sedar Enginoglu, Dang N. H. Thanh. An Iterative Image Inpainting Method Based on Similarity of Pixels Values. Proceeding of the IEEE the 6th International Conference on Electrical and Electronics Engineering ICEEE 2019, Istanbul, 2019 (Web of Science, Scopus).  [Link]

[C19]. Dang N. H. Thanh, Le Thi Thanh, Sergey Dvoenko, V. B. Surya Prasath, Nguyen Quang San. Adaptive Thresholding Segmentation Method for Skin Lesion with Normalized Color Channels of NTSC and YcbCr. Proceeding of the 2019 International Conference on Pattern Recognition and Information Processing (PRIP’2019), Minsk, 2019 (Web of Science, Scopus).

[C18]. V. B. Surya Prasath, Dang N. H. Thanh, Le Thi Thanh, Nguyen Quang San, Sergey Dvoenko. Wireless Capsule Endoscopy Image Enhancement with a Human Visual System Consistent Model. Proceeding of the 2019 International Conference on Pattern Recognition and Information Processing (PRIP’2019), Minsk, 2019 (Web of Science, Scopus).

[C17]. Ugur Erkan, Sedar Enginoglu, Dang N. H. Thanh. A Recursive Mean Filter for Image Denoising. Proceeding of the IEEE 2019 International Conference on Artificial Intelligence and Data Processing (IDAP 2019), Malatya (Web of Science, Scopus).  [Link]

[C16]. Nguyen Hoang Hai, Dang N. H. Thanh, Nguyen Ngoc Hien, Chinthaka Premachandra, V. B. Surya Prasath. A Fast Denoising Algorithm for X-Ray Images with Variance Stabilizing Transform. Proceeding of the IEEE 2019 International Conference on Knowledge and Systems Engineering (KSE 2019), Danang (Web of Science, Scopus).   [Link]

[C15]. Le T. Thanh, Dang N. H. Thanh. Medical Images Denoising Method Based on Total Variation Regularization and Anscombe Transform. Proceeding of The IEEE 19th International Symposium on Communications and Information Technologies (ISCIT 2019), Ho Chi Minh city (Web of Science, Scopus).  [Link]

[C14]. Le T. Thanh, Dang N. H. Thanh, V.B. Surya Prasath. Single Image Dehazing Based on Adaptive Histogram Equalization and Linearization of Gamma Correction. Proceeding of The IEEE 25th Asia-Pacific Conference on Communications (APCC 2019), Ho Chi Minh city (Web of Science, Scopus).  [Link] [Project KH1912, HCM-UT]

[C13]. Le T. Thanh, Dang N. H. Thanh, V.B. Surya Prasath. Adaptive Texts Deconvolution Method for Real Natural Images. Proceeding of The IEEE 25th Asia-Pacific Conference on Communications (APCC 2019), Ho Chi Minh city (Web of Science, Scopus).  [Link]

[C12]. Nguyen Van Son, Dang N. H. Thanh, Ugur Erkan, Surya Prasath. An Image Inpainting Method Based on Adaptive Fuzzy Switching Median. Proceeding of IEEE The 2019 6th NAFOSTED Conference on Information and Computer Science (NICS 2019), Ho Chi Minh city (Web of Science, Scopus).  [Link]

[C11]. Nguyen Minh Hue, Dang N. H. Thanh, Le Thi Thanh, Nguyen Ngoc Hien, Surya Prasath. Image Denoising with Overlapping Group Sparsity and Second Order Total Variation Regularization. Proceeding of IEEE The 2019 6th NAFOSTED Conference on Information and Computer Science (NICS 2019), Ho Chi Minh city (Web of Science, Scopus).  [Link] [Project KH1911, HCM-UT]

[C10]. Surya Prasath, Dang N. H. Thanh, Nguyen H. Hai. On Selecting the Appropriate Scale in Image Selective Smoothing by Nonlinear Diffusion. Proceeding of the IEEE 7th international conference on Communication and Electronics ICCE, Hue, 2018 (Web of Science, Scopus).  [Link]

[C9]. Surya Prasath, Dang N. H. Thanh, Nguyen H. Hai. Regularization Parameter Selection in Image Restoration with Inverse Gradient: Single Scale or Multiscale? Proceeding of the IEEE 7th international conference on Communication and Electronics, Hue, 2018 (Web of Science, Scopus).  [Link]

[C8]. Dang N. H. Thanh, Surya Prasath, Le T. Thanh. Total Variation L1 Fidelity Salt-and-Pepper Denoising with Adaptive Regularization Parameter. Proceeding of the IEEE 5th NAFOSTED International Conference on Information and Computer Science NCIS, Ho Chi Minh city, 2018 (Web of Science, Scopus).  [Link]

[C7]. Dang N. H. Thanh, Nguyen H. Hai A video denoising method based on Bregman iteration. Proceeding of the 10th conference on Fundamental and Applied IT research (FAIR’10), Da Nang, 2017, pages 558-564.  [Link]

[C6]. Surya Prasath, Dang N. H. Thanh, Nguyen H. Hai, Ngo X. Cuong. Image Restoration with Total Variation and Iterative Regularization Parameter Estimation. Proceeding of the ACM 8th international symposium on information and communication technology (SoICT 2017), Nha Trang, 2017. DOI: 10.1145/3155133.3155191 (ACM, Scopus, Web of Science).  [Link]

[C5]. Dang N. H. Thanh, S. D. Dvoenko. A Noise Removal in Color Images. Proceeding of the 13th Pattern recognition and Information analysis (PRIP) 2016, Minsk, Belarus, pages 83-87.

[C4]. Dang N. H. Thanh, Dvoenko Sergey D., Dinh Viet Sang. Colour images denoising based on a combined model. Proceeding of the ACM 7th international symposium on information and communication technology (SoICT 2016), Ho Chi Minh City, Vietnam, 2016, pages: 308-315. DOI: 10.1145/3011077.3011125 (ACM, Scopus, Web of Science).  [Link]

[C3]. Dvoenko Sergey, Dang N. H. Thanh. Removing of combined noise on raster images. Abstract of the 11th international conference: Intelligent Data processing: Theory and Application, 2016, Barcelona, Spain, pages 84-85. 

[C2]. Dang N. H. Thanh and Dvoenko S. A Variational Method to Remove the Combination of Poisson and Gaussian Noises. Proceedings of the 5th International Workshop on Image Mining. Theory and Applications (IMTA-5-2015) in conjunction with VISIGRAPP 2015, pages 38-45. Berlin, Germany 2015. DOI: 10.5220/0005460900380045 (Scopus, Web of Science). [Link]

[C1]. Dang N. H. Thanh, Dvoenko Sergey D., Dinh Viet Sang. A denoising method based on total variation. Proceeding of the ACM 6th international symposium on information and communication technology (SoICT 2015), Hue, Vietnam, 2015, pages: 223-230. DOI: 10.1145/2833258.2833281 (ACM, Scopus, Web of Science).  [Link]

Book Chapters:

[BC16]. Nguyen Q. Viet, Nguyen N. Quang, Nguyen King, Dinh T. Huu, Nguyen D. Toan; Dang N. H. Thanh. An Exploratory Comparison of LSTM and BiLSTM in Stock Price Prediction. In book: Inventive Communication and Computational Technologies (Springer Lecture notes series), 2023 (Web of Science, Scopus), [Link]

[BC15]. Le T. Thanh; Dang N. H. Thanh. A Comparative Analysis of Heart Disease Diagnosis with Machine Learning Models. In book: Inventive Communication and Computational Technologies (Springer Lecture notes series), 2023 (Web of Science, Scopus), [Link]

[BC14]. Mao Y., Zhang T.; Fu B.; Dang N. H. Thanh. Single Image Inpainting Method Using Wasserstein Generative Adversarial Networks and Self-attention. In book: Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges (Springer Lecture notes series), 2023 (Web of Science, Scopus), [Link]

[BC13]. Bhandari, A., Kumar, V., Thien Huong, P., Dang N. H. Thanh. Sentiment Analysis of COVID-19 Tweets: Leveraging Stacked Word Embedding Representation for Identifying Distinct Classes Within a Sentiment. In book series: Lecture Notes on Data Engineering and Communications Technologies, Springer, 2022 (Web of Science, Scopus, Q3).  [Link]

[BC12]. Surya Prasath, Nguyen Ngoc Hien, Dang N. H. Thanh, Dvoenko Sergey. SIMRES-TV: NOISE AND RESIDUAL SIMILARITY FOR PARAMETER ESTIMATION IN TOTAL VARIATION. In book series: “The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences”, Volume XLIV-2/W1, 2021 (International Workshop on Photogrammetric and computer vision techniques for video surveillance, biometrics and biomedicine), ISPRS Publisher. Editors: S. Zheltov, Y. Vizilter, and V. Knyaz. (Web of Science, Scopus).  [Link]

[BC11]. Le Minh Hieu, Nguyen Ngoc Hien, Dang N. H. Thanh, Le Thi Hong Van. Method of moments with a choice of special basic functions for fourth-order partial differential equations. In book series: Journal of Physics: Conference Series (JPCS), IOP Publishing, 2021 (Web of Science, Scopus, Q4).  [Link]

[BC10]. Surya Prasath, Dang N. H. Thanh, Nguyen Hoang Hai, Sergey Dvoenko. Multiregion Multiscale Image Segmentation with Anisotropic Diffusion. In book series: In book series: Lecture notes in Computer Science. Book: Pattern Recognition and Information Forensics (ICPR 2020 Workshops and Challenges), vol. 12665, Part V, Springer, 2021 (Web of Science, Scopus, Q2).  [Link]

[BC9]. Nguyen Quoc Hung, Thai Kim Phung, Phan Hien, Dang N. H. Thanh. AI and Blockchain: potential and challenge for building a smart E-Learning system in Vietnam. In book series: IOP Conference Series: Materials Science and Engineering, vol 1022. IOP Publishing, 2021 (Web of Science, Scopus, Q3).  [Link]

[BC8]. Le Thi Thanh, Dang N. H. Thanh, Nguyen Minh Hue, Ha Nguyen Thuy Linh, and V.B. Surya Prasath. On Numerical Implementation of the Laplace Equation-Based Image Inpainting. In book series: IOP Conference Series: Materials Science and Engineering, vol 1022. IOP Publishing, 2021 (Web of Science, Scopus, Q3).  [Link]

[BC7]. Sagar Pande, Aditya Khamparia, Deepak Gupta, Dang N. H. Thanh. DDOS Attack Detection using Machine Learning Technique. In book: Recent Studies on Computational Intelligence (Book series: Studies in Computational Intelligence), Springer, 2021 (Web of Science, Scopus, Q3).  [Link]

[BC6]. Dang N. H. Thanh, Nguyen Ngoc Hien, V.B. Surya Prasath, Ugur Erkan, Khamparia Aditya. Adaptive Thresholding Skin Lesion Segmentation with Gabor Filters and Principal Component Analysis. In book series: Advances in Intelligent Systems and Computing (AISC) – Select Proceedings of RICE 2019, Springer, 2020 (Web of Science, Scopus, Q3).  [Link]

[BC5]. Le T. Thanh, Dang N. H. Thanh. An Adaptive Local Thresholding Roads Segmentation Method for Satellite Aerial Images with Normalized HSV and Lab Color Models. In book series: Advances in Intelligent Systems and Computing (AISC) – Select Proceedings of RICE 2019, Springer, 2020 (Web of Science, Scopus, Q3).  [Link]

[BC4]. Vivek Kumar, Brojo Kumar Mishra, Manuel Mazzara, Dang N. H. Thanh, Abhishek Verma. Prediction of Malignant and Benign Breast Cancer: A Data Mining Approach in Healthcare Applications. In book series: Lecture Notes on Data Engineering and Communications Technologies, Springer, 2020 (Web of Science, Scopus).   [Link]

[BC3]. Dang N. H. Thanh, Nguyen N. Hien, Surya Prasath, Le T. Thanh, Nguyen H. Hai. Automatic Initial Boundary Generation Methods Based on Edge Detectors for the Level Set Function of the Chan-Vese Segmentation Model and Applications in Biomedical Image Processing. In book series: “Advances in Intelligent Systems and Computing (AISC) – Proceeding of the 7th International Conference on Frontiers of Intelligent Computing: Theory and Application FICTA 2018”, Springer, 2020. Editors: Vikrant Bhatejay, et al. (Web of Science, Scopus, Q3).  [Link]

[BC2]. Dang N. H. Thanh, Dvoenko Sergey, Surya Prasath, Nguyen H. Hai. Blood Vessels Segmentation Method For Retinal Fundus Images Based On Adaptive Principal Curvature And Image Derivative Operators. In book series: “The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences”, Volume XL-5/W6, 2019 (International Workshop on Photogrammetric and computer vision techniques for video surveillance, biometrics and biomedicine), ISPRS Publisher. Editors: S. Zheltov, Y. Vizilter, and V. Knyaz. (Web of Science, Scopus).  [Link]

[BC1]. Dang N. H. Thanh, Dvoenko S.D. A Denoising of Biomedical Images. In book series: “The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences”, Volume XL-5/W6, pages 38-45, 2015 (International Workshop on Photogrammetric techniques for video surveillance, biometrics and biomedicine), ISPRS Publisher. Editors: S. Zheltov, Y. Vizilter, and V. Knyaz. DOI: 10.5194/isprsarchives-XL-5-W6-73-2015 (Scopus, Web of Science).  [Link]

Patents:

[P1]. D. N. H. Thanh, S.D. Dvoenko. A noise removal method based on Total Variation. RU patent, Registration number: RU 2 623 898 C2, 29.06.2017 (Valid up to 29.06.2037). [Link to Google Patents, Link to European Patent Office]

Books:

[B4] Dang N. H. Thanh, Yu-Dong Zhang, João Manuel R. S. Tavares, Bo-Hao Chen. Artificial Intelligence in Data and Big Data Processing. Springer, 2022. [Link]

[B3] Dang N. H. Thanh, Nguyen Ngoc Hien, Phan Hong Khanh, Le Thi Thanh, Nguyen Thanh Trung. Discrete Mathematics. Can Tho University Publishing House, 2022. [Link to National Library of Vietnam]

[B2] Dang N. H. Thanh, Nguyen Quoc Hung, Nguyen Hoang Hai. Object Oriented Programming C++. VNU Press, 2020. [Link to National Library of Vietnam]

[B1] Dang N. H. Thanh. Variational approach for the noise reduction problem on digital images. LAP LAMBERT Academic Publishing, 2016. [Link to German National Library]