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Tuan Duc Pham
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2020 – today
- 2025
[c104]Tuan D. Pham:
Class Fusion of Support Vector Machines with Deep Learning Features for Oral Cancer Histopathology Classification. ISBI 2025: 1-4- 2024
- [j93]Tuan D. Pham
, Simon B. Holmes, Lifong Zou, Mangala Patel, Paul Coulthard:
Diagnosis of pathological speech with streamlined features for long short-term memory learning. Comput. Biol. Medicine 170: 107976 (2024) - 2023
- [j92]Thomas Hartung, Jun Deng, Raghvendra Mall, Alejandro F. Frangi, Frank Emmert-Streib, Tuan D. Pham:
Editorial: Insights in AI: Medicine and public health 2022. Frontiers Artif. Intell. 6 (2023) - [j91]Tuan D. Pham, Simon B. Holmes, Paul Coulthard:
A review on artificial intelligence for the diagnosis of fractures in facial trauma imaging. Frontiers Artif. Intell. 6 (2023) - [j90]Vinayakumar Ravi, Tuan D. Pham, Mamoun Alazab:
Deep Learning-Based Network Intrusion Detection System for Internet of Medical Things. IEEE Internet Things Mag. 6(2): 50-54 (2023) - [j89]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) - [j88]Tuan D. Pham:
Classification of Caenorhabditis Elegans Locomotion Behaviors With Eigenfeature-Enhanced Long Short-Term Memory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 206-216 (2023) - [j87]Tuan D. Pham:
Prediction of Five-Year Survival Rate for Rectal Cancer Using Markov Models of Convolutional Features of RhoB Expression on Tissue Microarray. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 3195-3204 (2023) - [j86]Vinayakumar Ravi, Tuan D. Pham, Mamoun Alazab:
Attention-Based Multidimensional Deep Learning Approach for Cross-Architecture IoMT Malware Detection and Classification in Healthcare Cyber-Physical Systems. IEEE Trans. Comput. Soc. Syst. 10(4): 1597-1606 (2023) - [j85]Ajay Arunachalam, Vinayakumar Ravi, Vasundhara Acharya, Tuan D. Pham:
Toward Data-Model-Agnostic Autonomous Machine-Generated Data Labeling and Annotation Platform: COVID-19 Autoannotation Use Case. IEEE Trans. Engineering Management 70(8): 2695-2706 (2023) - [j84]Vasundhara Acharya, Vinayakumar Ravi, Tuan D. Pham, Chinmay Chakraborty:
Peripheral Blood Smear Analysis Using Automated Computer-Aided Diagnosis System to Identify Acute Myeloid Leukemia. IEEE Trans. Engineering Management 70(8): 2760-2773 (2023) - [c103]Tuan D. Pham, Xiao-Feng Sun:
Wavelet Scattering of RhoB-Expressed Deep-Learning Features for Rectal Cancer Prognosis. ISBI 2023: 1-4 - [c102]Wael Suliman, Vinayakumar Ravi, Tuan D. Pham:
A Retrospective Study on Classifying Gait Signals Using Entropy Measures. TENCON 2023: 948-953 - 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 Vishvanathan, 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 Vishvanathan, 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) - [c101]Tuan D. Pham:
Visual Concurrent Analysis of Gait Patterns Among Healthy Young, Old Adults, and Patients With Parkinson's Disease. BIBM 2022: 2674-2681 - [c100]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 - [c99]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) - [c98]Tuan D. Pham:
Deep Learning of Recurrence Texture in Physiological Signals. AI*IA 2021: 503-514 - [c97]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
- [c96]Tuan D. Pham:
Classification of Benign and Metastatic Lymph Nodes in Lung Cancer with Deep Learning. BIBE 2020: 728-733 - [c95]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) - [c94]Thi T. T. Pham, Héctor Rodriguez Déniz, Tuan D. Pham:
Tensor Decomposition of Non-EEG Physiological Signals for Visualization and Recognition of Human Stress. ICBBT 2019: 132-136 - [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]Donggang Yu, Tuan D. Pham, Xiaobo Zhou:
Analysis and recognition of touching cell images based on morphological structures. Comput. Biol. Medicine 39(1): 27-39 (2009) - [j32]Cuong To, Tuan D. Pham:
Analysis of Massive Data in Biology using Hyperplane-based Genetic Algorithms. Trans. Mass Data Anal. Images Signals 1(1): 76-88 (2009) - [j31]Tuan D. Pham, Dominik Beck, Miriam Brandl:
Identification of Protein Biomarkers using Geostatistics and Block-Error Matching Strategy. Trans. Mass Data Anal. Images Signals 1(2): 178 (2009) - [j30]Donggang Yu, Tuan D. Pham, Xiaobo Zhou, Stephen T. C. Wong:
Recognition and analysis of cell nuclear phases for high-content screening based on morphological features. Pattern Recognit. 42(4): 498-508 (2009) - [j29]Tuan D. Pham, Miriam Brandl, Dominik Beck:
Fuzzy declustering-based vector quantization. Pattern Recognit. 42(11): 2570-2577 (2009) - [j28]Tuan D. Pham, Catharina C. Müller, Denis I. Crane:
Fuzzy Scaling Analysis of a Mouse Mutant With Brain Morphological Changes. IEEE Trans. Inf. Technol. Biomed. 13(4): 629-635 (2009) - [c35]Tuan D. Pham, Uwe Eisenblätter, Jonathan Golledge, Bernhard T. Baune, Klaus Berger:
Segmentation of medical images using geo-theoretic distance matrix in fuzzy clustering. ICIP 2009: 3369-3372 - [c34]Tuan D. Pham:
Object Recognition by Permanence of Ratios Based Fusion and Gaussian Bayes Decision. KES (1) 2009: 155-160 - 2008
- [j27]Tuan D. Pham:
Computational prediction models for cancer classification using mass spectrometry data. Int. J. Data Min. Bioinform. 2(4): 405-422 (2008) - [j26]Donggang Yu, Tuan D. Pham, Hong Yan, Jesse S. Jin, Suhuai Luo, Denis I. Crane:
Image processing and reconstruction of cultured neuron skeletons. Int. J. Hybrid Intell. Syst. 5(4): 179-196 (2008) - [j25]Tuan D. Pham:
Fuzzy Fractal Analysis of Molecular Imaging Data. Proc. IEEE 96(8): 1332-1347 (2008) - [j24]Tuan D. Pham, Honghui Wang, Xiaobo Zhou, Dominik Beck, Miriam Brandl, Gerard Hoehn, Joseph Azok, Marie-Luise Brennan, Stanley L. Hazen, King C. Li, Stephen T. C. Wong:
Computational Prediction Models for Early Detection of Risk of Cardiovascular Events Using Mass Spectrometry Data. IEEE Trans. Inf. Technol. Biomed. 12(5): 636-643 (2008) - [c33]Tuan D. Pham:
Cancer classification by minimizing fuzzy scattering effect. FUZZ-IEEE 2008: 377-380 - [c32]Tuan D. Pham, Jonathan Golledge:
Geostatistically constrained fuzzy segmentation of abdominal aortic aneurysm CT images. FUZZ-IEEE 2008: 1446-1451 - [c31]Tuan D. Pham, Dominik Beck, Miriam Brandl, Xiaobo Zhou:
Classification of Proteomic Signals by Block Kriging Error Matching. ICISP 2008: 281-288 - [c30]Donggang Yu, Tuan D. Pham, Xiaobo Zhou:
Detection and Analysis of Cell Nuclear Phases. KES (1) 2008: 401-408 - [c29]Tuan D. Pham, Honghui Wang, Xiaobo Zhou, Dominik Beck, Miriam Brandl, Gerard Hoehn, Joseph Azok, Marie-Luise Brennan, Stanley L. Hazen, Stephen T. C. Wong:
Classification of Mass Spectrometry Based Protein Markers by Kriging Error Matching. MDA 2008: 82-94 - 2007
- [j23]Tuan D. Pham, Dat Tran, Xiaobo Zhou:
Fuzzy information fusion of classification models for high-throughput image screening of cancer cells in time-lapse microscopy. Int. J. Knowl. Based Intell. Eng. Syst. 11(4): 237-246 (2007) - [j22]Tuan D. Pham:
Spectral distortion measures for biological sequence comparisons and database searching. Pattern Recognit. 40(2): 516-529 (2007) - [c28]Bailing Zhang, Tuan D. Pham, Yanchun Zhang:
Bagging Support Vector Machine for Classification of SELDI-ToF Mass Spectra of Ovarian Cancer Serum Samples. Australian Conference on Artificial Intelligence 2007: 820-826 - [c27]Tuan D. Pham:
Mass Spectrometry Based Cancer Classification Using Fuzzy Fractal Dimensions. CIARP 2007: 614-623 - [c26]Donggang Yu, Tuan D. Pham, Xiaobo Zhou:
Analysis and Recognition of Touching Cell Images Based on Morphological Structures. KES (1) 2007: 439-446 - [c25]Tuan D. Pham:
Geo-Thresholding for Segmentation of Fluorescent Microscopic Cell Images. MDA 2007: 15-26 - [c24]Tuan D. Pham, Xiaobo Zhou:
A Novel Image Feature for Nuclear-Phase Classification in High Content Screening. MDA 2007: 84-93 - [c23]Tuan D. Pham:
Double Adaptive Filtering of Gaussian Noise Degraded Images. SCIA 2007: 848-857 - 2006
- [j21]Tuan D. Pham:
Handling missing DNA microarray data by kriging estimators. Int. J. Bioinform. Res. Appl. 2(2): 177-192 (2006) - [j20]Tuan D. Pham, Dat Tran, Xiaobo Zhou, Stephen T. C. Wong:
Integrated Algorithms for Image Analysis and Classification of Nuclear Division for High-Content Cell-Cycle Screening. Int. J. Comput. Intell. Appl. 6(1): 21-43 (2006) - [j19]Hong Yan, Tuan D. Pham:
Spectral similarity for analysis of DNA microarray time-series data. Int. J. Data Min. Bioinform. 1(2): 150-161 (2006) - [j18]Takahiko Hara, Koichi Fukuda, Kazuhisa Kanazawa, Noboru Shibata, Koji Hosono, Hiroshi Maejima, Michio Nakagawa, Takumi Abe, Masatsugu Kojima, Masaki Fujiu, Yoshiaki Takeuchi, Kazumi Amemiya, Midori Morooka, Teruhiko Kamei, Hiroaki Nasu, Chi-Ming Wang, Kiyofumi Sakurai, Naoya Tokiwa, Hiroko Waki, Tohru Maruyama, Susumu Yoshikawa, Masaaki Higashitani, Tuan D. Pham, Yupin Fong, Toshiharu Watanabe:
A 146-mm2 8-gb multi-level NAND flash memory with 70-nm CMOS technology. IEEE J. Solid State Circuits 41(1): 161-169 (2006) - [j17]Tuan D. Pham, Dominik Beck, Hong Yan:
Spectral Pattern Comparison Methods for Cancer Classification Based on Microarray Gene Expression Data. IEEE Trans. Circuits Syst. I Regul. Pap. 53-I(11): 2425-2430 (2006) - [c22]Tuan D. Pham, Vikram Chandramohan, Xiaobo Zhou, Stephen T. C. Wong:
Robust Feature Extraction and Reduction of Mass Spectrometry Data for Cancer Classification. ICDM Workshops 2006: 202-206 - [c21]Tuan Duc Pham:
Similarity Searching in DNA Sequences by Spectral Distortion Measures. ICDM 2006: 24-37 - [c20]Donggang Yu, Tuan D. Pham, Hong Yan, Denis I. Crane:
Dynamic Analysis and Recognition of Cell-Cycle Screening Based on Morphological Structures. ISDA (2) 2006: 1043-1048 - [c19]Tuan D. Pham, Dat Tran:
Image Classification by Fusion for High-Content Cell-Cycle Screening. KES (1) 2006: 524-531 - [c18]Dat Tran, Tuan D. Pham:
Relaxation Labeling for Cell Phase Identification. SMC 2006: 1275-1280 - [c17]Tuan D. Pham, Hong Yan:
LPC-VQ based Hidden Markov Models for Similarity Searching in DNA Sequences. SMC 2006: 1654-1659 - [c16]Tuan D. Pham, Dat Tran:
Gaussian mixture and Markov models for cell-phase classification in microscopic imaging. SoSE 2006: 1-6 - 2005
- [c15]Tuan D. Pham:
An Optimally Weighted Fuzzy k-NN Algorithm. ICAPR (1) 2005: 239-247 - [c14]Tuan D. Pham:
Spectral Analysis of Protein Sequences. ICMLC 2005: 595-604 - 2004
- [j16]Tuan D. Pham, Denis I. Crane, Tuan H. Tran, Tam H. Nguyen:
Extraction of fluorescent cell puncta by adaptive fuzzy segmentation. Bioinform. 20(14): 2189-2196 (2004) - [j15]Tuan D. Pham, Johannes Zuegg:
A probabilistic measure for alignment-free sequence comparison. Bioinform. 20(18): 3455-3461 (2004) - 2003
- [j14]Tuan D. Pham:
Unconstrained logo detection in document images. Pattern Recognit. 36(12): 3023-3025 (2003) - [c13]Tuan D. Pham:
Alignment-Free Sequence Comparison with Vector Quantization and Hidden Markov Models. CSB 2003: 534-535 - [c12]Tuan D. Pham:
Applications of geostatistics and Markov models for logo recognition. DRR 2003: 20-27 - [c11]Tuan D. Pham:
Vector Quantization And Fuzzy C-Means Clustering For Written Language Classification. PRIS 2003: 104-112 - 2002
- [j13]Tuan D. Pham:
Perception-based hidden Markov models: a theoretical framework for data mining and knowledge discovery. Soft Comput. 6(5): 400-405 (2002) - 2001
- [j12]Tuan D. Pham:
An image restoration by fusion. Pattern Recognit. 34(12): 2403-2411 (2001) - [c10]Tuan D. Pham, Michael Wagner, David Clark:
Applications of genetic algorithms, geostatistics, and fuzzy c-means clustering to image segmentation. CEC 2001: 741-746 - [c9]Tuan D. Pham:
Clustering Data With Spatial Continuity. FUZZ-IEEE 2001: 69-72 - 2000
- [j11]Tuan D. Pham:
Computing with words in formal methods. Int. J. Intell. Syst. 15(8): 801-810 (2000) - [j10]Tuan D. Pham, Michael Wagner:
Image Enhancement by Kriging and Fuzzy Sets. Int. J. Pattern Recognit. Artif. Intell. 14(8): 1025-1038 (2000) - [j9]Tuan D. Pham, Michael Wagner:
Similarity normalization for speaker verification by fuzzy fusion. Pattern Recognit. 33(2): 309-315 (2000) - [c8]Tuan D. Pham, Michael Wagner:
Image Restoration by Fuzzy Convex Ordinary Kriging. ICIP 2000: 113-116 - [c7]Tuan D. Pham, Michael Wagner:
Information based Speaker Verification. ICPR 2000: 3282-3285 - [c6]Tuan D. Pham:
Image Restoration by Ordinary Kriging with Convexity. ICPR 2000: 3334-3337
1990 – 1999
- 1999
- [j8]Tuan D. Pham, Hong Yan:
Color image segmentation using fuzzy integral and mountain clustering. Fuzzy Sets Syst. 107(2): 121-130 (1999) - [j7]Tuan D. Pham, Michael Wagner:
Speaker Verification with Fuzzy Fusion and Genetic Optimization. J. Adv. Comput. Intell. Intell. Informatics 3(6): 451-456 (1999) - [j6]Tuan D. Pham, Michael Wagner:
Ambiguity reduction in speaker identification by the relaxation labeling process. Pattern Recognit. 32(7): 1249-1254 (1999) - [c5]Tuan D. Pham, Michael Wagner:
Filtering noisy images using kriging. ISSPA 1999: 427-430 - 1998
- [j5]Ali Reza Mirhosseini, Hong Yan, Kin-Man Lam, Tuan D. Pham:
Human Face Image Recognition: An Evidence Aggregation Approach. Comput. Vis. Image Underst. 71(2): 213-230 (1998) - [j4]Tuan D. Pham, Michael Wagner:
A geostatistical model for linear prediction analysis of speech. Pattern Recognit. 31(12): 1981-1991 (1998) - [j3]Tuan D. Pham, Hong Yan:
An effective algorithm for the segmentation of digital plane curves - The isoparametric formulation. Pattern Recognit. Lett. 19(2): 171-176 (1998) - [c4]Ali Reza Mirhosseini, Catherine Chen, Tuan D. Pham, Hong Yan:
Human Face Recognition: A Minimal Evidence Approach. ICCV 1998: 652-659 - [c3]Tuan D. Pham, Michael Wagner:
Speaker identification using relaxation labeling. ICSLP 1998 - [c2]Tuan D. Pham, Michael Wagner:
Fuzzy-integration based normalization for speaker verification. ICSLP 1998 - 1997
- [j2]Tuan D. Pham, Hong Yan:
A quasi-linear fuzzy measure of multi-attributes. Fuzzy Sets Syst. 90(3): 255-266 (1997) - [j1]Tuan D. Pham, Hong Yan:
A Kriging Fuzzy Integral. Inf. Sci. 98(1-4): 157-173 (1997) - 1996
- [b1]Zheru Chi, Hong Yan, Tuan D. Pham:
Fuzzy Algorithms: With Applications to Image Processing and Pattern Recognition. Advances in Fuzzy Systems - Applications and Theory 10, World Scientific 1996, ISBN 978-981-02-2697-8, pp. 1-240 - [c1]Tuan D. Pham, Hong Yan:
Information fusion by fuzzy integral. ANZIIS 1996: 191-194
Coauthor Index
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