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Tuan Duc Pham
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2020 – today
- 2023
[j84]Rajasekhar Chaganti, Vinayakumar Ravi
, Tuan D. Pham:
A multi-view feature fusion approach for effective malware classification using Deep Learning. J. Inf. Secur. Appl. 72: 103402 (2023)- 2022
- [j83]Tuan D. Pham:
Kriging-Weighted Laplacian Kernels for Grayscale Image Sharpening. IEEE Access 10: 57094-57106 (2022) - [j82]Pooja Yadav, Neeraj Menon, Vinayakumar Ravi, Sowmya Viswanathan, Tuan D. Pham:
A two-stage deep learning framework for image-based android malware detection and variant classification. Comput. Intell. 38(5): 1748-1771 (2022) - [j81]Pooja Yadav, Neeraj Menon, Vinayakumar Ravi, Sowmya Viswanathan, Tuan D. Pham:
EfficientNet convolutional neural networks-based Android malware detection. Comput. Secur. 115: 102622 (2022) - [j80]Rajasekhar Chaganti, Vinayakumar Ravi, Tuan D. Pham:
Deep learning based cross architecture internet of things malware detection and classification. Comput. Secur. 120: 102779 (2022) - [j79]Vinayakumar Ravi, Vasundhara Acharya, Tuan D. Pham:
Attention deep learning-based large-scale learning classifier for Cassava leaf disease classification. Expert Syst. J. Knowl. Eng. 39(2) (2022) - [j78]Vinayakumar Ravi, Harini Narasimhan, Tuan D. Pham:
A cost-sensitive deep learning-based meta-classifier for pediatric pneumonia classification using chest X-rays. Expert Syst. J. Knowl. Eng. 39(7) (2022) - [j77]Rajasekhar Chaganti, Vinayakumar Ravi, Tuan D. Pham:
Image-based malware representation approach with EfficientNet convolutional neural networks for effective malware classification. J. Inf. Secur. Appl. 69: 103306 (2022) - [j76]Vinayakumar Ravi, Harini Narasimhan, Chinmay Chakraborty, Tuan D. Pham:
Deep learning-based meta-classifier approach for COVID-19 classification using CT scan and chest X-ray images. Multim. Syst. 28(4): 1401-1415 (2022) - [c100]Tuan D. Pham:
Visual Concurrent Analysis of Gait Patterns Among Healthy Young, Old Adults, and Patients With Parkinson's Disease. BIBM 2022: 2674-2681 - [c99]Wael Suliman, Vinayakumar Ravi, Bin Luo, Xiao-Feng Sun, Tuan D. Pham:
Convolutional Neural Networks and Support Vector Machines for Five-Year Survival Analysis of Metastatic Rectal Cancer. IJCNN 2022: 1-8 - [c98]Tuan D. Pham:
Classification Of Ecg Signals Of Heart Beats Using Tf-Ts Lstm With Augmented Fuzzy Recurrence Eigenvalues. IVMSP 2022: 1-5 - 2021
- [j75]Tuan D. Pham:
From Raw Pixels to Recurrence Image for Deep Learning of Benign and Malignant Mediastinal Lymph Nodes on Computed Tomography. IEEE Access 9: 96267-96278 (2021) - [j74]Tuan D. Pham:
Recurrence eigenvalues of movements from brain signals. Brain Informatics 8(1): 22 (2021) - [j73]Tuan D. Pham:
Classification of COVID-19 chest X-rays with deep learning: new models or fine tuning? Health Inf. Sci. Syst. 9(1): 2 (2021) - [j72]Shu Zhang, Hui Yu, Ting Wang, Junyu Dong, Tuan D. Pham:
Linearly augmented real-time 4D expressional face capture. Inf. Sci. 545: 331-343 (2021) - [c97]Tuan D. Pham:
Deep Learning of Recurrence Texture in Physiological Signals. AI*IA 2021: 503-514 - [c96]Tuan D. Pham, Faisal Yousif Al Anezi:
Fuzzy Cross Recurrence Analysis and Tensor Decomposition of Major-Depression Time-Series Data. DATA 2021: 28-34 - [i2]Rajasekhar Chaganti, Vinayakumar Ravi, Mamoun Alazab, Tuan D. Pham:
Stegomalware: A Systematic Survey of MalwareHiding and Detection in Images, Machine LearningModels and Research Challenges. CoRR abs/2110.02504 (2021) - 2020
- [c95]Tuan D. Pham:
Classification of Benign and Metastatic Lymph Nodes in Lung Cancer with Deep Learning. BIBE 2020: 728-733 - [c94]Tuan D. Pham:
Visual Computing of Causality in Personalized Depression. EMBC 2020: 5510-5513
2010 – 2019
- 2019
- [j71]Tuan D. Pham:
Geostatistical Simulation of Medical Images for Data Augmentation in Deep Learning. IEEE Access 7: 68752-68763 (2019) - [j70]Tuan D. Pham, Karin Wårdell, Anders Eklund, Goran Salerud:
Classification of short time series in early Parkinsons disease with deep learning of fuzzy recurrence plots. IEEE CAA J. Autom. Sinica 6(6): 1306-1317 (2019) - [j69]Qiangguo Jin, Zhaopeng Meng, Tuan D. Pham, Qi Chen, Leyi Wei, Ran Su:
DUNet: A deformable network for retinal vessel segmentation. Knowl. Based Syst. 178: 149-162 (2019) - [c93]Tuan D. Pham, Chuanwen Fan, Hong Zhang, Xiao-Feng Sun:
Deep Learning Of P73 Biomarker Expression In Rectal Cancer Patients. IJCNN 2019: 1-8 - 2018
- [j68]Jin Liu, Tuan D. Pham, Hong Yan, Zhizheng Liang:
Fuzzy mixed-prototype clustering algorithm for microarray data analysis. Neurocomputing 276: 42-54 (2018) - [j67]Tuan D. Pham, Hong Yan:
Tensor Decomposition of Gait Dynamics in Parkinson's Disease. IEEE Trans. Biomed. Eng. 65(8): 1820-1827 (2018) - [c92]Tuan D. Pham:
Pattern analysis and classification of blood oxygen saturation signals with nonlinear dynamics features. BHI 2018: 112-115 - [c91]Tuan D. Pham, Mayumi Oyama-Higa:
NONLINEAR DYNAMICS ANALYSIS OF SHORT-TIME PHOTOPLETHYSMOGRAM IN PARKINSON'S DISEASE. FUZZ-IEEE 2018: 1-6 - [i1]Qiangguo Jin, Zhao-Peng Meng, Tuan D. Pham, Qi Chen, Leyi Wei, Ran Su:
DUNet: A deformable network for retinal vessel segmentation. CoRR abs/1811.01206 (2018) - 2017
- [j66]Tuan D. Pham:
Time-Shift Multiscale Entropy Analysis of Physiological Signals. Entropy 19(6): 257 (2017) - [j65]Tuan D. Pham:
Validation of Computer Models for Evaluating the Efficacy of Cognitive Stimulation Therapy. Wirel. Pers. Commun. 94(3): 301-314 (2017) - [c90]Tuan D. Pham:
Complementary features for radiomic analysis of malignant and benign mediastinal lymph nodes. ICIP 2017: 3849-3853 - [c89]Tuan D. Pham:
Scaling of Texture in Training Autoencoders for Classification of Histological Images of Colorectal Cancer. ISNN (2) 2017: 524-532 - 2016
- [j64]Tuan D. Pham:
Quantifying visual perception of texture with fuzzy metric entropy. J. Intell. Fuzzy Syst. 31(2): 1089-1097 (2016) - [j63]Hui Yu, Junyu Dong, Tuan D. Pham, Honghai Liu:
Guest Editorial: Advanced Understanding and Modelling of Human Motion in Multidimensional Spaces. Multim. Tools Appl. 75(19): 11595-11602 (2016) - [j62]Xiao Tan, Changming Sun, Kwan-Yee K. Wong, Tuan D. Pham:
Guided image completion by confidence propagation. Pattern Recognit. 50: 210-222 (2016) - [j61]Tuan D. Pham:
The Kolmogorov-Sinai entropy in the setting of fuzzy sets for image texture analysis and classification. Pattern Recognit. 53: 229-237 (2016) - [j60]Xiao Tan, Changming Sun, Tuan D. Pham:
Stereo matching based on multi-direction polynomial model. Signal Process. Image Commun. 44: 44-56 (2016) - [j59]Xiao Tan, Changming Sun, Tuan D. Pham:
Edge-Aware Filtering with Local Polynomial Approximation and Rectangle-Based Weighting. IEEE Trans. Cybern. 46(12): 2693-2705 (2016) - [j58]Tuan D. Pham:
The Semi-Variogram and Spectral Distortion Measures for Image Texture Retrieval. IEEE Trans. Image Process. 25(4): 1556-1565 (2016) - [c88]Tuan D. Pham:
Noise-Added Texture Analysis. CIARP 2016: 93-100 - [c87]Tuan D. Pham:
The multiple-point variogram of images for robust texture classification. ICASSP 2016: 1303-1307 - [c86]Tuan D. Pham:
Enhancing texture characteristics with synthesis and noise for image retrieval. IEEE Conf. on Intelligent Systems 2016: 433-437 - [c85]Tuan D. Pham:
Measures of spatial distortion using kriging. IEEE Conf. on Intelligent Systems 2016: 438-442 - [c84]Tuan D. Pham:
Entropy rates of physiological aging on microscopy. SSCI 2016: 1-5 - 2015
- [j57]Tuan D. Pham:
Editorial. Comput. Biol. Medicine 63: 228 (2015) - [j56]Tuan D. Pham, Taishi Abe, Ryuichi Oka, Yung-Fu Chen:
Measures of Morphological Complexity of Gray Matter on Magnetic Resonance Imaging for Control Age Grouping. Entropy 17(12): 8130-8151 (2015) - [j55]Xiao Tan, Changming Sun, Xavier Sirault, Robert Furbank, Tuan D. Pham:
Feature matching in stereo images encouraging uniform spatial distribution. Pattern Recognit. 48(8): 2530-2542 (2015) - [j54]Tuan D. Pham:
Estimating Parameters of Optimal Average and Adaptive Wiener Filters for Image Restoration with Sequential Gaussian Simulation. IEEE Signal Process. Lett. 22(11): 1950-1954 (2015) - [c83]Tuan D. Pham:
Measure of texture dynamics with fuzzy metric entropy. FSKD 2015: 385-390 - [c82]Truong Cong Thang, Huyen T. T. Tran, Vo D. Trong, Duc V. Nguyen, Hung T. Le, Tuan D. Pham:
Design and implementation of an e-Health system for depression detection. ICCE 2015: 74-75 - [c81]Tuan D. Pham, Mayumi Oyama-Higa:
Photoplethysmography technology and its feature visualization for cognitive stimulation assessment. ICIT 2015: 1735-1740 - 2014
- [j53]Isabel Schwende, Tuan D. Pham:
Pattern recognition and probabilistic measures in alignment-free sequence analysis. Briefings Bioinform. 15(3): 354-368 (2014) - [j52]Ran Su, Changming Sun, Chao Zhang, Tuan D. Pham:
A novel method for dendritic spines detection based on directional morphological filter and shortest path. Comput. Medical Imaging Graph. 38(8): 793-802 (2014) - [j51]Tuan D. Pham, Dinh T. P. Le, Jinwei Xu, Duc T. Nguyen, Robert G. Martindale, Clifford W. Deveney:
Personalized identification of abdominal wall hernia meshes on computed tomography. Comput. Methods Programs Biomed. 113(1): 153-161 (2014) - [j50]Tuan D. Pham, Xiaoyi Jiang:
Editorial. Comput. Methods Programs Biomed. 117(1): 1 (2014) - [j49]Taichiro Tsunoyama, Tuan D. Pham, Takashi Fujita, Tetsuya Sakamoto:
Identification of intestinal wall abnormalities and ischemia by modeling spatial uncertainty in computed tomography imaging findings. Comput. Methods Programs Biomed. 117(1): 30-39 (2014) - [j48]Tuan D. Pham:
Geostatistical Entropy for Texture Analysis: An Indicator Kriging Approach. Int. J. Intell. Syst. 29(3): 253-265 (2014) - [j47]Tuan D. Pham:
Pattern recognition by active visual information processing in birds. Inf. Sci. 270: 134-142 (2014) - [j46]Ran Su, Changming Sun, Chao Zhang, Tuan D. Pham:
A new method for linear feature and junction enhancement in 2D images based on morphological operation, oriented anisotropic Gaussian function and Hessian information. Pattern Recognit. 47(10): 3193-3208 (2014) - [j45]Xiao Tan, Changming Sun, Xavier Sirault, Robert Furbank, Tuan D. Pham:
Stereo matching using cost volume watershed and region merging. Signal Process. Image Commun. 29(10): 1232-1244 (2014) - [c80]Tuan D. Pham:
Modeling spatial uncertainty of imprecise information in images. APSIPA 2014: 1-4 - [c79]Xiao Tan, Changming Sun, Tuan D. Pham:
Multipoint Filtering with Local Polynomial Approximation and Range Guidance. CVPR 2014: 2941-2948 - [c78]Xiao Tan, Changming Sun, Dadong Wang, Yi Guo, Tuan D. Pham:
Soft Cost Aggregation with Multi-resolution Fusion. ECCV (5) 2014: 17-32 - [c77]Tuan D. Pham, Taichiro Tsunoyama, Truong Cong Thang, Takashi Fujita, Tetsuya Sakamoto:
Image classification of bowel abnormalities and ischemia. ICIP 2014: 2764-2768 - [c76]Tuan D. Pham:
Image Classification with Indicator Kriging Error Comparison. ICISP 2014: 433-440 - [c75]Tuan D. Pham:
Nonstationary Mapping of Spatial Uncertainty for Medical Image Classification. ICMB 2014: 164-168 - 2013
- [j44]Bailing Zhang, Tuan D. Pham:
Serial fusion of random subspace ensemble for subcellular phenotype images classification. Int. J. Bioinform. Res. Appl. 9(4): 386-406 (2013) - [j43]Tuan D. Pham:
Possibilistic nonlinear dynamical analysis for pattern recognition. Pattern Recognit. 46(3): 808-816 (2013) - [c74]Tuan D. Pham:
The chaotic behavior of the endoplasmic-reticulum network in time-lapse microscopy images. BIBM 2013: 22-25 - [c73]Tuan D. Pham, Truong Cong Thang, Mayumi Oyama-Higa, Hoc X. Nguyen, Saji Hameed, Masahide Sugiyama:
Chaos and Nonlinear Time-series Analysis of Finger Pulse Waves for Depression Detection. BIOSIGNALS 2013: 298-301 - [c72]Tuan D. Pham, Jonathan Golledge:
Pattern analysis of imaging markers in abdominal aortic aneurysms. BMEI 2013: 154-159 - [c71]Ying Chen, Tuan D. Pham:
Analysis of MRI-based cortical surface structure complexity in dementia by sample entropy. CIBCB 2013: 189-192 - [c70]Nhan Nguyen-Thanh, Tuan D. Pham, Kazuhisa Ichikawa:
Segmentation of mitochondria in intracellular space. CIBCB 2013: 218-221 - [c69]Chao Zhang, Changming Sun, Rhonda Davey, Ran Su, Leanne Bischof, Pascal Vallotton, David Lovell, Shelly Hope, Sigrid A. Lehnert, Tuan D. Pham:
Tubule detection in testis images using boundary weighting and circular shortest path. EMBC 2013: 3319-3322 - [c68]Tuan D. Pham, Kazuhisa Ichikawa:
Characterization of Cancer and Normal Intracellular Images by the Power Law of a Fuzzy Partition Functional. ICIAR 2013: 597-604 - [c67]Tuan D. Pham:
Bird-Like Information Processing for AI-based Pattern Recognition. MICAI (Special Sessions) 2013: 157-163 - 2012
- [j42]Tuan D. Pham:
Supervised restoration of degraded medical images using multiple-point geostatistics. Comput. Methods Programs Biomed. 106(3): 201-209 (2012) - [j41]Jin Liu, Tuan D. Pham:
FHC: The fuzzy hyper-prototype clustering algorithm. Int. J. Knowl. Based Intell. Eng. Syst. 16(1): 35-47 (2012) - [j40]Jin Liu, Tuan D. Pham:
A spatially constrained fuzzy hyper-prototype clustering algorithm. Pattern Recognit. 45(4): 1759-1771 (2012) - [j39]Theam Foo Ng, Tuan D. Pham, Xiuping Jia:
Feature interaction in subspace clustering using the Choquet integral. Pattern Recognit. 45(7): 2645-2660 (2012) - [j38]Ran Su, Changming Sun, Tuan D. Pham:
Junction detection for linear structures based on Hessian, correlation and shape information. Pattern Recognit. 45(10): 3695-3706 (2012) - [c66]Xiao Tan, Changming Sun, Xavier Sirault, Robert Furbank, Tuan D. Pham:
Cross Image Inference Scheme for Stereo Matching. ACCV (4) 2012: 217-230 - [c65]Xiao Tan, Changming Sun, Xavier Sirault, Robert Furbank, Tuan D. Pham:
Feature Correspondence with Even Distribution. DICTA 2012: 1-7 - [c64]Ran Su, Changming Sun, Tuan D. Pham:
Dendritic spines detection based on directional morphological filter and shortest path. EMBC 2012: 5343-5346 - [c63]Tuan D. Pham, Dzung Vo, Nhan Nguyen-Thanh, Truong Cong Thang, Kazuhisa Ichikawa:
How Complex Is Cancer Intracellular Signaling Space in FIB-SEM Images? EMS 2012: 139-142 - [c62]Tuan D. Pham, Nhan Nguyen-Thanh, Truong Cong Thang, Kazuhisa Ichikawa:
Chaotic Behavior in Intracellular Space: An Implication for Modeling and Simulation of Cancer. EMS 2012: 143-147 - [c61]Tuan D. Pham:
Kriging-based possibilistic entropy of biosignals. EUSIPCO 2012: 1816-1820 - [c60]Tuan D. Pham, Truong Cong Thang, Mayumi Oyama-Higa:
Toward the development of a cost-effective e-depression detection system. ICCH 2012: 23-28 - [c59]Jinwei Xu, Tuan D. Pham:
Robust Impulse-Noise Filtering for Biomedical Images Using Numerical Interpolation. ICIAR (2) 2012: 146-155 - [c58]Tuan D. Pham:
Image texture analysis using geostatistical information entropy. IEEE Conf. of Intelligent Systems 2012: 353-356 - [c57]Chao Zhang, Changming Sun, Ran Su, Tuan D. Pham:
Segmentation of clustered nuclei based on curvature weighting. IVCNZ 2012: 49-54 - [c56]Ran Su, Changming Sun, Chao Zhang, Tuan D. Pham:
Linear feature enhancement based on morphological operation and Gabor function. IVCNZ 2012: 91-96 - [c55]Xiao Tan, Changming Sun, Xavier Sirault, Robert Furbank, Tuan D. Pham:
Tree structural watershed for stereo matching. IVCNZ 2012: 340-345 - [c54]Tuan D. Pham:
Regularity Dimension of Medical Images. KES 2012: 314-323 - [c53]Tuan D. Pham:
Personalized modeling in computational life science. SoICT 2012: 2 - [c52]Theam Foo Ng, Xiuping Jia, Tuan D. Pham:
Weighted features for cluster space classificaton of hyperspectral images. WHISPERS 2012: 1-4 - 2011
- [j37]Bailing Zhang, Tuan D. Pham:
Phenotype Recognition with Combined Features and Random Subspace Classifier Ensemble. BMC Bioinform. 12: 128 (2011) - [j36]Tuan D. Pham:
Fuzzy posterior-probabilistic fusion. Pattern Recognit. 44(5): 1023-1030 (2011) - [j35]Tuan Duc Pham, Klaus Berger:
Automated Detection of White Matter Changes in Elderly People Using Fuzzy, Geostatistical, and Information Combining Models. IEEE Trans. Inf. Technol. Biomed. 15(2): 242-250 (2011) - [c51]Cuong To, Tuan D. Pham:
Complexity Analysis of Mass Spectrometry Data for Disease Classification using GA-based Multiscale Entropy. BIOSIGNALS 2011: 5-14 - [c50]Chao Zhang, Changming Sun, Tuan D. Pham:
Clustered Nuclei Splitting Using Curvature Information. DICTA 2011: 352-357 - [c49]Yi Xiao, Tuan D. Pham, Chung-Che Jeff Chang, Xiaobo Zhou:
Symmetry-based presentation for stem-cell image segmentation. ICCABS 2011: 196-201 - [c48]Federica Salvetti, Tuan D. Pham:
On improving the inference of white matter hyperintensities on magnetic resonance imaging. ISPA 2011: 690-694 - [c47]Jinwei Xu, Tuan D. Pham, Xiaobo Zhou:
A double thresholding method for cancer stem cell detection. ISPA 2011: 695-699 - [c46]Bing Wang, Tuan D. Pham:
HMM-based brain age interpolation using kriging estimator. ISPA 2011: 704-708 - [c45]Tuan D. Pham:
Possibilistic Entropy: A New Method for Nonlinear Dynamical Analysis of Biosignals. KES (1) 2011: 466-473 - 2010
- [j34]Tuan D. Pham:
GeoEntropy: A measure of complexity and similarity. Pattern Recognit. 43(3): 887-896 (2010) - [c44]Jin Liu, Tuan D. Pham, Wei Wen, Perminder S. Sachdev:
Spatially constrained fuzzy hyper-prototype clustering with application to brain tissue segmentation. BIBM 2010: 397-400 - [c43]Tuan D. Pham:
Entropic Analysis and Synthesis of Biosignal Complexity. BIOSIGNALS 2010: 115-120 - [c42]Tuan D. Pham, Xiaobo Zhou:
Ratio-hypothesis-based Fuzzy Fusion with Application to Classification of Cellular Morphologies. BIOSIGNALS 2010: 202-207 - [c41]Jin Liu, Tuan D. Pham:
Fuzzy Hyper-clustering for Pattern Classification in Microarray Gene Expression Data Analysis. BIOSIGNALS 2010: 415-418 - [c40]Chao Zhang, Changming Sun, Tuan D. Pham, Pascal Vallotton, Michael Fenech:
Detection of Nuclear Buds Based on Ellipse Fitting. DICTA 2010: 178-183 - [c39]Theam Foo Ng, Tuan D. Pham, Changming Sun:
Automated Feature Weighting in Fuzzy Declustering-based Vector Quantization. ICPR 2010: 686-689 - [c38]Jin Liu, Tuan D. Pham:
Fuzzy Hyper-Prototype Clustering. KES (1) 2010: 379-389 - [c37]Yi Xiao, Tuan D. Pham, Xiuping Jia, Xiaobo Zhou, Hong Yan:
Correlation-based cluster-space transform for major adverse cardiac event prediction. SMC 2010: 2003-2007 - [c36]Tuan D. Pham:
Fusing fuzzy and probabilistic memberships for white matter lesion detection in MRI of the brain. SMC 2010: 2124-2128
2000 – 2009
- 2009
- [j33]