LIST OF PUBLICATIONS
 
Journal Papers

 

1.      Xu, S., Kang, C.H., Gou, X., Peng, Q., Yan, J., Zhuo, S., Cheng, C.L., He, Y., Kang, Y., Xia, W., So, P.T.C., Welsch, R.,  J. C. Rajapakse, and H. Yu, “Quantification of liver fibrosis via second harmonic imaging of the Glisson’s capsule from liver surface,” Journal of Biophotonics, 9(4):351-63, 2016

2.      A. Kumar, F. Lin, and J. C. Rajapakse, “Mixed spectrum analysis on fMRI time series,” IEEE Transactions on Medical Imaging, Vol. 35, No. 6, pp. 1555-62, 2016.

3.      P. A. Mundra and J. C. Rajapakse, “Gene and sample selection with T-score with sample selection,” Journal of Biomedical Informatics, 59, pp. 31-41, 2016.

4.      L. Yin, D. Zheng, G. V. Limmon, N. H. N. Leung, S. Xu, J. C. Rajapakse, H. Yu, V. T. K. Chow, and J. Chen, “Aging exacerbates damage and delays repair of alveolar epithelia following influenza viral pneumonia,” Respiratory Research, Vol. 1, Issue 1, Article No 116, September 2014.

5.      S. Xu, Y. Wang, D. C. S. Tai, S. Wang, C. L. Cheng, Q. Peng, J. Yan, Y. Chen, J. Sun, X. Liang, Y. Zhu, J. C. Rajapakse, R. E. Welsch, P. T. C. So, A. Wee, J. Hou, H. Yu, “QFibrosis: A fully quantitative innovative method incorporating histological features to facilitate accurate fibrosis scoring in animal model and chronic Hepatitis B patients,” Journal of Hepatology, Vol. 16, Issue 10, pp. 260-269, August 2014

6.      A. Siau, X. Huang, X. Y. Yam, N. S. Bob, H. Sun, J. C. Rajapakse, L. Renia, and P. R. Preiser, “Identification of new export signal in Plasmodium Yoelii: Identification of anew exportome,” Cellular Microbiology, Vol. 16, Issue 5, May 2014, pp. 673-686

7.      M. R. Sukup-Jackson, O. Kiraly, J. E. Kay, L. Na, E. A. Rowland, K. E. Winther, D. N. Chow, T. Kimoto, T. Matsuguchi, V. S. Jonnalagadda, V. I. Maklakova, V. R. Singh, D. N. Wadduwage, J. C. Rajapakse, P. T. C. So, L. S. Collier, B. P. Engleward, “Rosa26-GFP direct repeat (RaDR-GFP) mice reveal tissue and age-dependence homologous recombination in mammals in vivo,” PLOS Genetics, Vol. 10, Issue 6, Article No e1004299, June 2014

8.      W. Liu, K. Miao, G. Li, K. Chang, J. Zheng, and J.C. Rajapakse, “Extracting rate changes in transcriptional regulation from MEDLINE abstracts,” BMC Bioinformatics, 2014, 15 (Suppl 2): S4

9.      L. Yin, S. Xu, J. Cheng, D. Zheng, G. V. Limmon, N. H. N. Leung, J. C. Rajapakse, V. T. K. Chow, J. Chen, H. Yu, “Spatiotemporal quantification of cell dynamics in the lung following influenza virus infection,” Journal of Biomedical Optics, 18(4), April 2013

10.   F. X. Ivan, K. S. Tan, M. C. Phoon,  B. P. Engleward, R. E. Welsch, J. C. Rajapakse, V. T. Chow, “Neutrophils infected with highly virulent influenza H3N2 virus exhibit augmented early cell death and rapid induction of type I interferon signaling pathways, Genomics, 101 (2), pp. 101-112, February 2013

11.   J. C. Rajapakse and P. Mundra, “Multiclass gene selection using Pareto fronts,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 10, Issue. 1, pp. 87-97, January 2013

12.   Y. Kumar, C. Liang, Z. Bo, J. C. Rajapakse, E. E. Ooi, S. R. Tannenbaum, “Serum proteome and cytokine analysis in a longitudinal cohot of adults with primary Dengue infection reveals predictive markers of DHF, PLOS Neglected Tropical Disease, 6(11), art. No. e1187, 2012

13.   F. X. Ivan, J. C. Rajapakse, R. E. Welsch, S. G. Rozen, T. Narasaraju, G. M. Xiong, B. P. Engelward, and V. T. K. Chow,  “Differential pulmonary transcriptomic profiles in murine lungs infected with low and highly virulent influenza H3N2 viruses reveal dysregulation of TERM1 signaling, cytokines, and chemokines,” Functional and Integrative Genomics, 12: 105 – 117, 2012

14.   F. X. Ivan, J. C. Rajapakse, R. E. Welsch, S. G. Rozen, T. Narasaraju, G. M. Xiong, B. P. Engelward, and V. T. K. Chow,  “Differential pulmonary transcriptomic profiles in murine lungs infected with low and highly virulent influenza H3N2 viruses reveal dysregulation of TERM1 signaling, cytokines, and chemokines,” Functional and Integrative Genomics, (published on line)

15.   V. R. Singh, H. Choi, E. Y. S. Yew, D. Bhattacharya, L. Yuan, C. J. R. Sheppard, J. C. Rajapakse, G. Barbastathiis, P. So, “Improving signal-to-noise ratio of structured light microscopy based on photon reassignment,” Biomedical Optical Express, Vol. 3, No. 1, pp. 206 – 214, 2012

16.   W. L. Au, J. Zhou, P. Palmes, Y.-Y. Sitoh,  L. C. Tan, and J. C. Rajapakse, “Levodopa and the feedback process on set-shifting in Parkinson’s disease,” Human Brain Mapping,33 (1), pp. 27-39, 2012

17.   J. C. Rajapakse and P. A. Mundra, “Stability of building gene regulatory networks with sparse autoregressive models,” BMC Bioinformatics, 12, (Suppl. 13), S17, 2011

18.   M. Veronica, R. E. Welsch, A. Ng, P. Matsudaira, and J.C. Rajapakse, “Correlation of cell membrane dynamics and cell motility,” BMC Bioinformatics, 12 (Suppl.13), S19, 2011 

19.   H. Q. Sun,  M. Y. H. Low, W. J. Hsu, C. W. Tan, and J. C. Rajapakse, “Tree-structured algorithm for long weak motif discovery,” Bioinformatics, Vol. 27, No. 19, pp. 2641 – 2647, 2011

20.   M. N. Nguyen, J. M. Zurada, and J. C. Rajapakse, “Towards better understanding of protein secondary structure: extracting prediction rules,” IEEE Transactions on Computational Biology and Bioinformatics, Vol. 8, No. 3, pp. 858 – 864, 2011

21.   H. Q. Sun, M. Y. H. Low, W. J. Hsu, J. C. Rajapakse, “RecMotif: a novel fast algorithm for weak motif discovery,” BMC Bioinformatics, Suppl. 11: art. no.: S8, Dec 2010

22.   I. Chaturvedi and J. C. Rajapakse, “Building gene networks with time-delayed regulations,” Pattern Recognition Letters, Vol. 31, Issue 14, pp. 2133 - 2137, Oct 15, 2010

23.   A. M. Raja, S. Xu, W. Sun, J. Zhou, D.C.S Tai, C.S. Chen, J. C. Rajapakse, P. T.C. So, and H. Yu, Pulse modulated second harmonic imaging microscope (PM-SHIM) imaging quantitatively demonstrates marked increase of collagen in tumor after chemotherapy, Journal of Biomedical Optics, Vol. 15, Issue 5, art. no.:056016, pp. 1 – 12, Sep - Oct 2010

24.   Y. He, C. H. Kang, S. Xu, X. Tuo, S. Trasti, D. C.S. Tai, A. M. Raja, Q. Peng, P. T. C. So, J. C. Rajapakse, R. Welsch, H. Yu, Towards surface quantification of liver fibrosis progression, Journal of Biomedical Optics, Vol. 15, Issue 5, art. no.:056007, pp. 1 -11, Sep – Oct 2010

25.   A. Ng, J. C. Rajapakse, R. E. Welsch, P. Matsudaira, and J. Evans, “Cell profiling framework for modeling drug responses from HCS imaging,” Journal of Biomolecular Screening, Vol. 15, Issue 7, pp. 858 - 868, Aug 2010

26.   P. A. Mundra and J. C. Rajapakse, “Gene and sample selection for cancer classification with support vectors based t-statistic,” Neurocomputing, Vol. 73, Issue 13 - 15, pp. 2353 -2362, Aug 2010

27.   P. A. Mundra and J. C. Rajapakse, “SVM-RFE with MRMR filter for gene selection,” IEEE Transactions on Nanobiosciences, Vol. 9, Issue 1, pp. 31 - 37, Mar 2010

28.   M. Veronika, J. Evans, P. Matsudaira, R. Welsch, and J. C. Rajapakse, “Subpopulation analysis based on temporal features of high content images,” BMC Bioinformatics, 10: Suppl. 15, art. no. S4, Dec 2009

29.   I. Chaturvedi and J. C. Rajapakse, “Detecting robust time-delayed regulation in Mycobacterium tuberculosis,” BMC Genomics, 10: art. no. S28, Dec 2009

30.   M. N. Nguyen, J. Ma, G. Fogel, and J. C. Rajapakse, “Di-codon usage for classification of genes,“ Biosystems, Vol. 98, Issue 1, pp. 1 - 6, Oct 2009

31.   D. C. S. Tai, N. Tan, S. Xu, C. H. Kang, S. M. Chia, C. L. Cheng, A. Wee, C. L. Wei, A. M. Raja, G. Xiao, J. C. Rajapakse, P. T. C. So, and H. Yu, “Fibro-C-Index – A comprehensive, morphology-based quantification of liver fibrosis using second harmonic generation and two-photon microscopy,” Journal of Biomedical Optics, Vol. 14, Issue 4, art. no. 044013, Jul - Aug 2009

32.   J. C. Rajapakse, “Computational techniques: Pattern recognition in bioinformatics,” IEEE Engineering in Medicine and Biology Magazine, Vol. 28, Issue 4, pp. 16-18, Jul - Aug 2009

33.   J. C. Rajapakse, Pooja, C. Chen, S.-L. Ho, “Comparative genomic workflow: Discovery of conserved non-coding patterns of DNA sequences,” IEEE Engineering in Medicine and Biology Magazine, Vol. 28, Issue 4, pp. 19 - 24, Jul - Aug 2009

34.   J. Cheng and J. C. Rajapakse, “Segmentation of clustered nuclei with shape markers and marking function,” IEEE Transactions on Biomedical Engineering, Vol. 56, Issue 3, pp. 741 - 748, Mar 2009

35.   B. Zheng and J. C. Rajapakse, “Time-efficient DT-MRI acquisition parameters for robust estimation of fiber tracts”, Journal of Signal Processing Systems for Signal, Image, and Video Technology, Vol. 54, Issue 1 – 3, pp. 25-31, Mar 2009

36.   J. M. Ma, M. N. Nguyen, and J. C. Rajapakse “Gene classification using codon usage and support vector machines,” IEEE-ACM Transactions on Computational Biology and Bioinformatics, Vol. 6, Issue 1, pp. 134 – 143, Jan - Mar 2009

37.   J. Zhou and J. C. Rajapakse, “Fuzzy approach to incorporate hemodynamic variability and contextual information for detection of brain activation,” Neurocomputing, Vol. 71,  Issue 16–18, pp. 3184 – 3192, Oct 2008

38.   J. C. Rajapakse, W. Yang, X. Zheng, and J. Zhou, “Probabilistic Framework for brain connectivity from functional MR images,” IEEE Transactions on Medical Imaging, Vol. 27, Issue 6, pp. 825 - 833, Jun 2008

39.   A. Kumar and J. C. Rajapakse, “Power spectral based detection of brain activation from fMR images” Neural Computing & Applications, Vol. 16, Issue 6, pp. 551 - 557, Oct 2007

40.   J. Zhou and J. C. Rajapakse, “Modeling hemodynamic variability using fuzzy features for detecting brain activation from fMR time-series,” Neural Computing & Applications, Vol. 16, Issue 6, pp. 541 - 549, Oct 2007

41.   C. Chen and J. C. Rajapakse, “Grid-enabled BlastZ: applications to comparative genomics,” Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology, Vol. 48, Issue 3, pp. 301 - 309, 2007

42.   J. C. Rajapakse and J. Zhou, “Learning effective connectivity with dynamic Bayesian networks,” NeuroImage, Vol. 37, Issue 3, pp. 749 - 760, Sep 2007

43.   J. C. Rajapakse, Y. Zhang, and G. Fogel, “Guest editor’s introduction to the special section: computational intelligence approaches in computational biology and bioinformatics,” IEEE-ACM Transactions on Computational Biology and Bioinformatics, Vol. 4, Issue 2, pp. 161 - 162, Apr - Jun 2007

44.   M. N. Nguyen and J. C. Rajapakse, “Prediction of protein secondary structure with two-stage multi-class SVM,” International Journal of Data Mining and Bioinformatics, Vol. 1, No. 3, pp. 248 – 269, Jan 2007

45.   W. Lu and J. C. Rajapakse, “ICA with Reference,” Neurocomputing, Vol. 69, Issues 16-19, pp. 2244 – 2257, Oct 2006

46.   X. Zheng and J. C. Rajapakse, “Learning functional structure from fMR images,” NeuroImage, Vol. 31, Issue 4, pp. 1601 - 1613, Jul 15, 2006

47.   Y. Wang and J. C. Rajapakse, “Contextual modeling of functional MR images with conditional random fields,” IEEE Transactions on Medical Imaging, Vol. 25, Issue 6, pp. 804 - 812, Jun 2006

48.   M. N. Nguyen and J. C. Rajapakse, “Two-stage support vector regression approach for predicting accessible surface areas of amino acids,” PROTIENS: Structure, Function, and Bioinformatics, Vol. 63, Issue 3, pp. 542 - 550, May 15, 2006 

49.   J. C. Rajapakse, C. L. Tan, X. Zheng, S. Mukhopadyay, and K. Yang, “Exploratory analysis of brain connectivity with ICA,” IEEE Engineering in Medicine and Biology Magazine, Vol. 25, Issue 2, pp. 102 - 111, Mar - Apr 2006

50.   D. Corne, G. Fogel, J. C. Rajapakse, and L. Wang, “Editorial for special issue on soft computing for bioinformatics and medical informatics” Soft Computing, Vol. 10, Issue 4, pp. 285 – 286, Feb 2006

51.   L. S. Ho, and J. C. Rajapakse, “Input encoding method for identifying transcription start sites in RNA polymerase II promoters by neural networks,” Soft Computing, Vol. 10, Issue 4, pp. 331-337, Feb 2006

52.   R. G. N. Meegama and J. C. Rajapakse, “NURBS-based visualization of age-related diversity in cortical morphology,” Journal of Visualization, Vol. 9, Issue 1, pp. 9 – 11, Jan 2006

53.   J. Zhou and J. C. Rajapakse, “Segmentation of subcortical brain structures using fuzzy templates,” NeuroImage, Vol. 28, Issue 4, pp. 915 - 924, Nov 2005

54.   W. W. P. Tham, S. J. R. Liow, J. C. Rajapakse, C. L. Tan, S. E. S. Ng, W. E. H. Lim, and L. G. Ho, “Phonological processing in Chinese-English bilingual biscriptals: an fMRI study,“ NeuroImage, Vol. 28, Issue 3, pp. 579 - 587, Nov 2005

55.   J. C. Rajapakse, K.-B. Duan, and W. K. Yeo, “Proteomic cancer classification with mass spectroscopy data”, American Journal of Pharmacogenomics, Vol. 5, Issue 5, pp. 281 – 292, Oct 2005

56.   K.-B. Duan, J. C. Rajapakse, H. Wang, and F. Azuaje, “Multiple SVM-RFE for gene selection in cancer classification with expression data,” IEEE Transactions on Nanobioscience, Vol. 4, Issue 3, pp. 228 - 234, Sep 2005

57.   J. C. Rajapakse and L. S. Ho, "Markov encoding for detecting signals in genomic sequences,", IEEE-ACM Transactions on Computational Biology and Bioinformatics, Vol. 2, Issue 2, pp. 1 – 12, Apr – Jun 2005

58.   M. N. Nguyen and J. C. Rajapakse, “Prediction of protein relative solvent accessibility with a two-stage SVM approach,” PROTIENS: Structure, Function, and Bioinformatics, Vol. 59, Issue 1, pp. 30 - 37, Apr 1, 2005

59.   W. Lu and J. C. Rajapakse, “Approach and applications of constrained ICA,” IEEE Transactions on Neural Networks, Vol. 16, Issue 1, pp. 203 - 212, Jan 2005

60.   R. G. N. Meegama and J. C. Rajapakse, “Fully Automated Peeling Technique for T1-Weighted High Quality MR Head Scans," International Journal of Image and Graphics, World Scientific, Vol. 4, Issue 2, pp. 141 - 154, 2004

61.   K. Yang and J. C. Rajapakse, “ICA gives higher-order connectivity of the brain,” Neural Information Processing: letters and reviews Vol. 2, Issue 2, Feb 2004

62.   R. G. N. Meegama and J. C. Rajapakse, “NURBS-based visualization of age-related diversity in cortical morphology,” International Journal of Pattern Recognition and Artificial Intelligence, Vol. 17, Issue 6, pp 995 - 1003, Sep 2003

63.   R.G. N. Meegama and J. C. Rajapakse, "NURBS snakes," Image and Vision Computing, Vol. 21, Issue 6, pp. 551 – 562, Jun 1, 2003

64.   M. N. Nguyen and J. C. Rajapakse, "Two-stage support vector machines for protein secondary structure prediction," Neural, Parallel, and Scientific Computing, Vol. 11, Issue 1 & 2, pp. 1 - 18, 2003

65.   J. C. Rajapakse and M. N. Nguyen, "General framework for two-stage approaches to protein secondary structure prediction," Asia Pacific Biotech News, Vol. 7, Issue 3, pp. 122 – 128, 2003

66.   W. Lu and J. C. Rajapakse, “Eliminating indeterminacy in ICA,” Neurocomputing, Vol. 50, pp. 271 - 290, Jan 2003

67.   N. Lundbom, E. Gaily, K. Vuori, R. Paetau, E. Liukkonen, J. C. Rajapakse, L. Valanne, A.-M. Hakkinen, and M.-L. Granstrom, “Proton spectroscopy imaging shows abnormality in glial and neuronal cell pools in frontoparietal epilepsy,” Epilepsia, Vol. 42, Issue 12, pp. 1507 – 1514, Dec 2001 

68.   J. C. Rajapakse and J. Piyaratna, "Bayesian approach to segmentation of statistical parametric maps," IEEE Transactions on Biomedical Engineering, Vol. 48, Issue 10, pp.1186 - 1194, Oct  2001

69.   J. C. Rajapakse, "Random-grid stereologic volumetry of MR head scans", Journal of Magnetic Resonance Imaging, Vol. 12, Issue 6, pp. 833 - 841, Dec 2000

70.   J. C. Rajapakse, "Probabilistic fusion of hemodyanamic parameter maps" Critical Reveiws in Biomedical Engineering, Vol. 28, Issue 3 & 4, pp. 363 - 369, May 2000

71.   J. C. Rajapakse and K. K. Lee, "Efficient sampling in 3-D stereologic volumetry," Critical Reveiws in Biomedical Engineering, Vol. 28, Issue 3 & 4, pp. 493 – 498, May 2000

72.   J. N. Giedd, J. Blumenthal, N. O. Jeffries, J. C. Rajapakse, A. C. Vaituzis, H. Liu, Y. C. Berry, M. Tobin, J. Nelson, F. X. Castellanos, “Development of the human corpuscollosum during childhood and adolescence: A longitudinal study,” Progress in Neuro-Psychopharmachology and Biological Psychiatry, Vol. 23, Issue 4, pp. 571 – 588, May 1999

73.   N. Lundbom, A. Barnett, S. Bonavita, N. Patronas, J. C. Rajapakse, G. Tedeschi, G. Di Chiro, "MR image segmentation and tissue, metabolite contrast in H spectroscopic imaging of normal and aging brain," Magnetic Resonance in Medicine, USA, Vol. 41, Issue 4, pp. 841 – 845, Apr 1999

74.   J. C. Rajapakse, F. Kruggel, S. Zysset and D. Y. von Cramon, "Neuronal and hemodynamic events from fMRI time-series," Journal of Advanced Computational Intelligence, Vol. 2, Issue 6, pp. 185 - 194, 1998

75.   J. C. Rajapakse, F. Kruggel, J. Moisag and D. Y. von Cramon, "Modeling hemodynamic response for analysis of functional MRI time-series," Human Brain Mapping, USA, Vol. 6, Issue 4, pp. 283 - 300, Jun 1998

76.   V. Ibanez, P. Pietrini, G. E. Alexander, M. L. Furey, D. Teichberg, J. C. Rajapakse, S. I. Rapoport, M. B. Schapiro, B. Horwitz, "Regional glucose metabolic abnormalities are not the result of atrophy in Alzheimer’s disease," Neurology, Vol. 50, Issue 6, pp. 1585 – 1593, Jun 1998

77.   J. C. Rajapakse and F. Kruggel, "Segmentation of MR images with intensity inhomogeneities," Image and Vision Computing, Vol. 16, Issue 3, pp. 165 - 180, Mar 16, 1998

78.   J. N. Giedd, F. X. Castellanos, J. C. Rajapakse, A. C. Vaituzis and J. L. Rapoport, "Sexual dimorphism of the developing human brain," Progress in Neuro-Psychopharmacology and Biological Psychiatry, Vol. 21, Issue 8, pp. 1185 - 1201, Nov 1997

79.   J. C. Rajapakse, J. N. Giedd and J. L. Rapoport, "Statistical approach to segmentation of single-channel cerebral MR images," IEEE Transactions on Medical Imaging, Vol. 16, Issue 2, pp. 176 - 186, Apr 1997

80.   L. K. Jacobsen, J. N. Giedd, J. C. Rajapakse, S. D. Hamburger, A. C. Vaituzis, J. A. Frazer, M. C. Lenane and J. L. Rapoport, "Quantitative magnetic resonance imaging of the corpus callosum in childhood onset schizophrenia," Psychiatry Research-Neuroimaging, Vol. 68, No. 2 - 3, pp. 77 - 86, Feb 1997

81.   J. C. Rajapakse, J. N. Giedd, C. DeCarli, J. W. Snell, A. McLaughlin, Y. C. Vauss, A. L. Krain, S. Hamburger and J. L. Rapoport, "A technique for single-channel MR brain tissue segmentation: Application to a pediatric sample," Magnetic Resonance Imaging, Vol. 14, Issue 9, pp. 1053 - 1065, 1996

82.   J. C. Rajapakse, J. N. Giedd, J. M. Rumsey, A. C. Vaituzis, S. D. Hamburger and J. L. Rapoport, "Regional MRI measurements of the corpus callosum: A methodological and developmental study," Brain & Development, Vol. 18, Issue 5, pp. 379 - 388, Sep – Oct 1996

83.   J. N. Giedd, J. W. Snell, N. Lange, J. C. Rajapakse, B. J. Casey, P. L. Kozuch, A. C. Vaituzis, Y. C. Vauss, S. D. Hamburger, D. Kaysen and J. L. Rapoport, "Quantitative magnetic resonance imaging of human brain development: Ages 4-18," Cerebral Cortex, USA, Vol. 6, Issue 4, pp. 551 - 560, Jul – Aug 1996

84.   F. X. Castellanos, J. N. Giedd, W. L. Marsh, S. D. Hamburger, A. C. Vaituzis, D. P. Dickstein, S. E. Sarfatti, Y. C. Vauss, J. W. Snell, N. Lange, D. Kaysen, A. L. Krain, G. F. Richie, J. C. Rajapakse and J. L. Rapoport, "Quantitative brain magnetic resonance imaging in attention-deficit hyperactivity disorder," Archives of General Psychiatry, USA, Vol. 53, Issue 7, pp. 607 - 616, Jul 1996

85.   J. A. Frazier, J. N. Giedd, S. D. Hamburger, K. E. Albus, D. Kaysen, A. C. Vaituzis, J. C. Rajapakse, M. C. Lenane, K. McKenna, L. K. Jacobsen, C. T. Gordon, A. Breier and J. L. Rapoport, "Brain anatomic magnetic resonance imaging in childhood-onset schizophrenia," Archives of General Psychiatry, USA, Vol. 53, Issue 7, pp. 617 - 624, Jul 1996

86.   L. K. Jacobson, J. N. Giedd, J. C. Rajapakse, S. D. Hamburger, A. C. Vaituzis, J. A. Frazier, M. C. Lenane and J. L. Rapoport, "The corpus callosum in childhood onset schizophrenia," Biological Psychiatry, USA, Vol. 39, Issue 7, pp. 66 – 66, Apr 1, 1996

87.   J. C. Rajapakse, C. DeCarli, A. McLaughlin, J. N. Giedd, S. D. Hamburger and J. L. Rapoport, "Cerebral magnetic resonance image segmentation using data fusion," Journal of Computer Assisted Tomography, USA, Vol. 20, Issue 2, pp. 206 - 218, Mar – Apr 1996

88.   J. N. Giedd, A. C. Vaituzis, S. D. Hamburger, N. Lange, J. C. Rajapakse, D. Kaysen, Y. C. Vauss and J. L. Rapoport, "Quantitative MRI of the temporal lobe, amygdala, and hippocampus in normal human development: Ages 4-18 years," Journal of Comparative Neurology, Vol. 366, Issue 2, pp. 223 – 230, Mar 4, 1996

89.   L. K. Jacobsen, J. N. Giedd, A. C. Vaituzis, S. D. Hamburger, J. C. Rajapakse, J. A. Frazier, d. Kaysen, M. C. Lenane, K. McKenna, C. T. Gordon and J. L. Rapoport, "Temporal lobe morphology in childhood-onset schizophrenia," American Journal of Psychiatry, Vol. 153, Issue 3, pp.355 - 361, Mar 1996

90.   J. N. Giedd, J. M. Rumsey, F. X. Castellanos, J. C. Rajapakse, D. Kaysen, A. C. Vaituzis, Y. C. Vauss, S. D. Hamburger and J. L. Rapoport, "A quantitative MRI study of the corpus callosum in children and adolescents," Developmental Brain Research, Vol. 91, Issue 2, pp.274 – 280, Feb 26, 1996

91.   J. N. Giedd, F. X. Castellanos, J. C. Rajapakse, D. Kaysen, A. C. Vaituzis, Y. C. Vauss, S. D. Hamburger and J. L. Rapoport, “Cerebral MRI of human brain-development: Ages 4-18,” Biological Psychiatry, Vol. 37, Issue 9, pp. 657 – 657, May 1, 1995

 

 

Book Chapters

 

 

1.     Y. Wang and J. C. Rajapakse, “Discriminative framework of Neural Activation Analysis with fMRI,” Advanced Topics in Biometrics, H. Li, L. Li, and K.-A. Toh (Eds.), World Scientific Publishing Co. Pte Ltd., 2011

2.     J. C. Rajapakse and S. L. Ho, “Markov/neural model for eukaryotic promoter recognition,” Machine Learning in Bioinformatics, Y. Zhang and J. C. Rajapakse (Eds.), John Wiley and Sons, pp. 283 – 300, 2009

3.     A. R. Omondi, J. C. Rajapakse, and M. Bagjer, “FPGA Neurocomputers” A. Omondi and J. C. Rajapakse, (eds.) FPGA Implementation of Neural Networks, pp. 1-34, Kluwer Academic Publishers, Boston, pp. 1 – 36, 2006

4.     K. Duan and J. C. Rajapakse, “SVM-RFE peak selection for cancer classification with mass spectrometry data,” P. Chen and L. Wong, (Eds.), Advances in Bioinformatics and Computational Biology, pp. 191 - 200,  Imperial College Press, London, January, 2005

 
 

Technical Reports

 

5.     J. Zhou and J. C. Rajapakse, “High Performance Implementation of Bayesian netowkrs for high throughput applications in functional imaging,” Prepared for Sun Microsystems Grant on Advanced High Throughput Image Computations. Nanyang Technological University, Singapore, 2008

6.     J. C. Rajapakse, “Analysis of functional MR time-series,” Academic Research Grant Report (RGM 45/98), Nanyang Technological University, Singapore

7.     J. C. Rajapakse, “Information fusion in visual reconstruction and recognition,” Ph.D. Dissertation, State University of New York at Buffalo, New York, USA (Dissertation advisor: Prof. Raj Acharya)

8.     J. C. Rajapakse, “Multi-layer adaptive resonance architecture (MARA),” M.Sc. Thesis, State University of New York at Buffalo, NY, USA (Thesis advisor: Prof. Raj Acharya)

 

 

Edited Books

 

9.     Y. Zhang and J. C. Rajapakse, (Eds.) Machine Learning in Bioinformatics, John Wiley and Sons, Inc., New Jersey, ISBN 978-0-470-11672-3, 456 pages, 2009

10.   A. Omondi and J. C. Rajapakse, (Eds.) FPGA Implementations of Neural Networks, Springer,  Dordrecht, The Netherlands, ISBN: 0-387-28485-0, 365 pages, Feb 2006

11.   J. C. Rajapakse and L. Wang, (Eds.) Neural Information Processing: Research and Development, Springer – Verlag, Berlin Heidelberg, ISSN 1434-9922, 478 pages,  Mar 2004

 

 

Book Reviews

 

12.   J. C. Rajapakse, “Adaptive blind signal and image processing – by A. Cichocki and S. I. Amari,” IEEE Transactions on Neural Networks, Vol. 14, Issue 6, pp. 1580 - 1580, Nov 2003

13.   J. C. Rajapakse, “Adaptive blind signal and image processing – by A. Cichocki and S. I. Amari” Neurocomputing, Vol. 49, pp. 439 - 443, 2002

 

 

Edited Proceedings

 

14.   J. C. Rajapakse, B. Schmidt, and G. Volkert (Eds.) Proceedings of Second International Conference on Pattern Recognition in Bioinformatics (PRIB 2007), Singapore, Lecture Notes in Bioinformatics, LNBI 4146, Springer-Verlag Berlin Heidelberg, Oct 2007

15.   J. C. Rajapakse, B. Schmidt, G. Volkert, F. Lin, and S. L. Ho (Eds.), Proceedings of PRIB 2007 Supplemental, Singapore, Oct 2007

16.   J. C. Rajapakse, B. Schmidt, G. Volkert (Eds.), PRIB 2007 Abstracts, Singapore, Oct 2007

17.   E. Marchiori, J. H. Moore, and J. C. Rajapakse (Eds.) Proceedings of Fifth European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (EvoBIO 2007), Valencia, Spain, Lecture Notes in Computer Science, LNCS 4447, Springer-Verlag Berlin Heidelberg, ISBN 978-3-540-71782-9, 302 pages, Apr 2007

18.   J. C. Rajapakse, L. Wong, and R. Acharya (Eds.) Proceedings of First International Conference on Pattern Recognition in Bioinformatics (PRIB 2006), Hong Kong, China, Lecture Notes in Bioinformatics, LNBI 4146, Springer-Verlag Berlin, Heidelberg, ISBN 3-540-37446-9, 186 pages, Aug 2006

19.   L. Wang, J. C. Rajapakse, K. Fukushima, S.-Y. Lee, and X. Yao, (eds.) Proceeding of the 9 th Advanced Neural Information Processing (ICONIP’02), Singapore, Nov 2002

20.   L. Wang, J. C. Rajapakse, K. C. Tan, S. Halgamuge, K. Fukushima, S.-Y. Lee, T. Furuhashi, J.-H. Kim, and X. Yao, (Eds.) ICONIP’02-SEAL’02-FSKD’02 Abstracts, Singapore, Nov 2002

 

 

Referreed Conference Papers

 

21.   J. C. Rajapakse and I. Chaturvedi, “Stability of inferring gene regulatory networks with dynamic Bayesian networks,  Proceedings of Pattern Recognition in Bioinformatics (PRIB 2011), Delft, The Netherlands, Lecture Notes in Bioinformatics, LNBI 7038, pp. 237-248, Nov 2011

22.    J. Zheng, I. Chaturvedi, and J. C. Rajapakse, “Integration of epigenetic data in Bayesian network modelling of gene regulatory networks,” Proceedings of Pattern Recognition in Bioinformatics (PRIB 2011), Delft, The Netherlands, Lecture Notes in Bioinformatics, LNBI 7038, pp. 87-96, Nov 2011

23.   A. Kumar and J. C. Rajapakse, “Scale space analysis of event-related fMRI data using higher-order harmonics,” Defense Science Research Conference and Expo (DSR 2011), Singapore

24.   J. C. Rajapakse and S. Liu, “Staging tissues with conditional random fields,” Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’ 11), Boston, USA, Aug 28 – Sep 3, 2011

25.   S. Liu, P. A. Mundra, and J. C. Rajapakse, “Features for cells and nuclei classification,” Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’ 11), Boston, USA, Aug 28 – Sep 3, 2011

26.   F. X. Ivan, R. E. Welsch, V. T. K. Chow, and J. C. Rajapakse, “Estimation of population of neutrophils induced to differentiate from the MPRO mouse promyelocytic cell line,” Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’ 11), Boston, USA, Aug 28 – Sep 3, 2011

27.   S. Xu, D. Tai, A. Wee, R. E. Welsch, P. So, H. Yu, and J. C. Rajapakse, “Automatic scoring of liver fibrosis through combined features from different collagen groups,” Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’ 11), Boston, USA, Aug 28 – Sep 3, 2011

28.   V. R. Singh, J. C. Rajapakse, P. T. So, and H. Yu, "Intensity normalization of two-photon microscopy images for liver fibrosis analysis", SPIE Photonics West Conference, San Francisco, California, CA, Proceedings of  SPIE 7903, 79030P-1 - 79030P-8  (2011); doi:10.1117/12.876246, 22-27 January 2011

29.   H.-Q. Sun, M. Y. H. Low, W. J. Hsu, and J. C. Rajapakse, “ListMotif: A time and memory efficient algorithm for week motif discovery,” Proceedings of 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2010, art. No. 5680875, pp. 254 – 260

30.   S. Zhu, P. Matsudaira, R. E. Welsch, and J. C. Rajapakse, “Quantification of cytoskeletal protein co-localization from high content images” Proceedings of 5th IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB 2010), Nijmegen, The Netherlands, Lecture Notes in Bioinformatics, LNBI 6282, pp. 289 - 300, Nov 2010

31.   W. L. Au, J. Zhou, P. Palmes, Y.-Y. Sitoh,  L. C. S. Tan, and J. C. Rajapakse,, “Effects of Levodopa and the feedback process on set-shifting in Parkinson’s disease,” 14th International Congress on Parkinsonions Disease and Movement Disorders, Buno Aires, Argentina, Movement Disorders, Vol. 25, Issue 7, S370 – S370, Sep 2010

32.   J. C. Rajapakse and I. Chaturvedi, “Gene regulatory networks with variable-order dynamic Bayesian networks,” International Joint Conference on Neural Networks (IJCNN 2010), Barcelona, Spain, Jul 2010

33.   J. C. Rajapakse and W. Chen, “Complex ICA-R,” International Joint Conference on Neural Networks (IJCNN 2010), Barcelona, Spain, Jul 2010

34.   K. S. Sri, J. M. Zurada, and J. C. Rajapakse, “Evolutionary approach to ICA-R,” International Joint Conference on Neural Networks (IJCNN 2010), Barcelona, Spain, Jul 2010

35.   J. C. Rajapakse and X. Zheng, “Neuronal systems involved in letter search in high-frequency and low-frequency words,” Proceeding of the Fourteenth International Conference on Cognitive and Neural Systems, Boston, Massachusetts, May 2010

36.   P. A. Mundra and J. C. Rajapakse, “Support vectors based correlation coefficient for gene and sample selection in cancer classification,” 2010 IEEE Symposium on Computational Intelligence in Computational Biology and Bioinformatics (CIBCB 2010), pp. 88 – 94, Apr 2010

37.   J. Cheng, E. G. L. Koh, S. Ahmed, and J. C. Rajapakse, “Joint tracking of cell morphology and motion,”   Proceedings of Pattern Recognition in Bioinformatics (PRIB 2009), Sheffield, UK, Lecture Notes in Bioinformatics, LNBI 5780, pp. 36-45, Sep 2009

38.   M. N. Nguyen, J. Ma, G. B. Fogel, and J. C. Rajapakse, “Di-codon usage for gene classification,” Proceedings of Pattern Recognition in Bioinformatics (PRIB 2009), Sheffield, UK, Lecture Notes in Bioinformatics, 5780 LNBI, pp. 211-221, 2009

39.   P. A. Mundra and J. C. Rajapakse, “F-score with Pareto front analysis for multiclass gene selection,” Proceedings of International Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (EvoBio 2009), C. Pizzuti, M. D. Ritchie, M. Giacobini (Eds.), Lecture Notes in Computer Science, LNCS 5483, pp. 56-67, Apr 15 – 17, 2009

40.   M. N. Nguyen, J. M. Zurada, and J. C. Rajapakse, "Extracting decision rules in predicting of protein secondary structure", Proceedings of the 8th IEEE International Conference on BioInformatics and BioEngineering (IEEE BIBE 2008), Athens, Greece, Vol. 1 – 2, pp. 308 – 313, Oct 8 - 10, 2008

41.   P. A. Mundra and J. C. Rajapakse “Support vector based T-score for gene ranking”, In: M. Chetty, A. Ngom and S. Ahmad (Eds.), Proceedings of International Conference on Pattern Recognition in Bioinformatics (PRIB 2008), Melbourne, Australia, Lecture Notes in Bioinformatics, LNBI 5265, pp. 144-153, Oct 15 – 17, 2008

42.   I. Chaturvedi and J. C. Rajapakse, “Fusion of gene regulatory and protein interaction networks using skip-chain models,” Proceedings of International Conference on Pattern Recognition in Bioinformatics (PRIB 2008), Melbourne, Australia, Lecture Notes in Bioinformatics, LNBI 5265, pp. 214 - 224. Oct 15 – 17, 2008.

43.   K. S. Sri and J. C. Rajapakse, “Extracting EEG rhythms using ICA-R,  2008 IEEE International Joint Conference on Neural Networks (IJCNN 2008), Hong Kong, Vol. 1 – 8, pp. 2134 - 2139, Jun 1 – 6, 2008

44.   S. Liu and J. C. Rajapakse, “Protein localization on cellular images with Markov random filed,” 2008 IEEE International Joint Conference on Neural Networks (IJCNN 2008), Hong Kong, Vol. 1 – 8, pp. 2128 - 2133, Jun 1  - 6, 2008

45.   B. Zheng and J. C. Rajapakse, “Human brain anatomical connectivity analysis using sequential sampling and re-sampling,” J. C. Rajapakse, B. Schmidt, G. Volkert (Eds.), Proceedings of the International Conference on Pattern Recognition in Bioinformatics (PRIB 2007), Singapore, Lecture Notes in Bioinformatics, LNBI  4774, pp. 391 - 400, Springer – Verlag, Berlin, Oct 1 – 2, 2007

46.   A. Kumar and J. C. Rajapakse, “Time-frequency method base activation detection in functional time-series,” J. C. Rajapakse, B. Schmidt, G. Volkert (Eds.), Proceedings of the International Conference on Pattern Recognition in Bioinformatics (PRIB 2007), Singapore, Lecture Notes in Bioinformatics, LNBI  4774, pp. 368 – 377, Springer – Verlag, Berlin, Oct 1 – 2, 2007

47.   I. Chaturvedi, M. K. Sakharkar, and J. C. Rajapakse, “Validation of gene regulatory networks from protein-protein interaction data,” J. C. Rajapakse, B. Schmidt, G. Volkert (Eds.), Proceedings of the International Conference on Pattern Recognition in Bioinformatics (PRIB 2007), Singapore, Lecture Notes in Bioinformatics, LNBI  4774, pp. 214 – 224, Springer – Verlag, Berlin, Oct 1 – 2, 2007

48.   P. A. Mundra and J. C. Rajapakse, “SVM-RFE with MRMR criteria for gene classification,” J. C. Rajapakse, B. Schmidt, G. Volkert (Eds.), Proceedings of the International Conference on Pattern Recognition in Bioinformatics (PRIB 2007), Singapore, Lecture Notes in Bioinformatics, LNBI  4774, pp. 242 - 252, Springer – Verlag, Berlin, Oct 1 – 2, 2007

49.   J. Zhou and J. C. Rajapakse, “Individual variability of brain connectivity from functional MR scans,” Proceedings Supplemental, PRIB 2007, Singapore, Oct 1 – 2, 2007

50.   K. S. Sri and J. C. Rajapakse, “Detecting brain waves using ICA-R,” Proceedings Supplemental, PRIB 2007, Singapore, Oct 1 – 2, 2007

51.   S. Liu and J. C. Rajapakse, “Features for protein localization in microscopic cellular images,” Proceedings Supplemental, PRIB 2007, Singapore, Oct 1 – 2, 2007

52.   J. Cheng and J. C. Rajapakse, “Clustered nuclei segmentation by marker-controlled watershed algorithm,” Proceedings Supplemental, PRIB 2007, Singapore, Oct 1 – 2, 2007

53.   M. N. Nguyen, J. C. Rajapakse, and K.-B. Duan, “Amino acid features for prediction of protein-protein interface residues with support vector machines,” E. Marchiori, J. H. Moore, and J. C. Rajapakse (Eds.), Proceedings of 5th European Conference on Evolutionary Computation, Machine Learning, and Data Mining in Bioinformatics (EvoBio 2007), Valencia, Spain, Lecture Notes of Computer Science, LNCS 4447, pp. 287 - 296, Springer-Verlag, Berlin Heidelberg, Apr 11 – 13, 2007

54.   K.-B. Duan, J. C. Rajapakse, and M. N. Nguyen, “One-versus-one and one-versus-all multiclass SVM-RFE for gene selection in cancer classification,” E. Marchiori, J. H. Moore, and J.C. Rajapakse (Eds.), Proceedings of Evolutionary Computation, Machine Learning, and Data Mining in Bioinformatics (EvoBio 2007), Valencia, Spain, Lecture Notes of Computer Science, LNCS 4447, pp. 47 - 56, , Springer-Verlag,  Berlin Heidelberg, Apr 11 – 13, 2007

55.   Pooja and J. C. Rajapakse, “Comparison of human and mouse pseudogenes,” Proceedings of 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2007), Hawaii, pp. 219 – 224, Apr 1 - 5, 2007

56.   J. Zhou and J. C. Rajapakse, “Extraction of fuzzy features for detecting brain activation from functional MR time-series,” I. King et al., (Eds.), Proceeding of the 13th International Conference on Neural Information Processing (ICONIP 2006), Hong Kong, China, Lecture Notes in Computer Science, LNCS 4234, pp. 983 - 992, Springer-Verlag Berlin Heidelberg, Oct 3 – 6, 2006

57.   N. Sinha, M. Saranathan, A. G. Ramakrishnan, J. Zhou, and J. C. Rajapakse, “Ultra-fast fMR imaging with high-fidelity activation map,” I. King et al. (Eds.) Proceeding of the 13th International Conference on Neural Information Processing (ICONIP 2006), Hong Kong, China, Lecture Notes in Computer Science, LNCS 4233, pp. 361 - 368, Springer-Verlag Berlin Heidelberg, Oct 3 – 6, 2006

58.   B. Zheng and J. C. Rajapakse, “Effect of diffusion weighting and number of sensitizing directions on fiber tracking in DTI,” I. King et al. (Eds.), Proceeding of the 13th International Conference on Neural Information Processing (ICONIP 2006), Hong Kong, China, Lecture Notes in Computer Science, LNCS 4234, pp. 983 - 992, Springer-Verlag Berlin Heidelberg, Oct 3 – 6, 2006

59.   J. C. Rajapakse and C. Chen, “ Computational grid for comparative genomics to identify conserved non-coding regions,” The 3rd International Life Science Grid Workshop (LSGrid 2006), Yokohama, Oct 2006

60.   C. Chen and J. C. Rajapakse, “Grid-enabled BLASTZ,” The 3rd International Life Science Grid Workshop (LSGrid 2006), Yokohama, Oct 2006

61.   J. M. Ma, M. N. Nguyen, G. B. Fogel, and J. C. Rajapakse, “Determination of the relative importance of gene function or taxonomic grouping to codon usage bias using cluster analysis and SVM,” Proceedings of 2006 IEEE Symposium on Bioinformatics and Computational Biology (CIBCB 2006), Toronto, pp. 335 – 342, Sep 28 – 29, 2006

62.   M. N. Nguyen and J. C. Rajapakse, “Protein-protein interface residue prediction with SVM using evolutionary profiles and accessible surface areas,” Proceedings of 2006 IEEE Symposium on Bioinformatics and Computational Biology (CIBCB 2006), Toronto, pp. 31 – 35, Sep 28 – 29, 2006

63.   J. C. Rajapakse, L. Wong, and R. Acharya, “Pattern recognition in bioinformatics: an introduction,” J. C. Rajapakse, L. Wong, R. Acharya (Eds.), Proceedings of the International Workshop on Pattern Recognition in Bioinformatics (PRIB 2006), Hong Kong, China, Lecture Notes in Bioinformatics, LNBI  4146, pp. 1-3, Springer-Verlag, Berlin  Heidelberg, Aug 20, 2006

64.   S. L. Ho and J. C. Rajapakse, “Graphical approach to weak motif recognition in noisy datasets,” J. C. Rajapakse, L. Wong, R. Acharya (Eds.), Proceedings of the International Workshop on Pattern Recognition in Bioinformatics (PRIB 2006), Hong Kong, China,, Lecture Notes in Bioinformatics, LNBI  4146, pp. 23-31, Springer-Verlag, Berlin  Heidelberg, Aug 20, 2006

65.   J. C. Rajapakse, S. J. R. Liow, K.-Happuch E., W. E. H. Lim, X. Zheng, L. G. Ho, W. W. P. Tham, and C. L. Tan, “Strong vs. weak lexicalization: letter search in high and low frequency words,” Proceedings of the 21th Annual Meeting of the Organization of Human Brain Mapping, Rome, Italy, NeuroImage, Vol. 31, Sup. 1, S39, Jun 2006

66.   J. C. Rajapakse, S. J. R. Liow, K.-Happuch E., Winston E. H. Lim, X. Zheng, L. G. Ho, W. W. P. Tham, and C. L. Tan, “Orthographic processing: letter search in legal and illegal nonwords,” Proceedings of the 21th Annual Meeting of the Organization of Human Brain Mapping, Rome, Italy,  NeuroImage, Vol. 31, Sup. 1, S56, Jun 2006

67.   J. Zhou, K.-Happuch E., Y. Y. Sitoh, W. L. Lee, J. J. Chin, and M. S. Chong, and J. C. Rajapakse, “Differences in neural correlates of visual spatial and visual object working memory: an fMRI study,”  Proceedings of the 21th Annual Meeting of the Organization of Human Brain Mapping, Rome, Italy, NeuroImage, Vol. 31, Sup. 1, S59, Jun 2006

68.   X. Zheng, W. E. H. Lim, S. J .R. Liow, and J. C. Rajapakse, “Modeling functional connectivity of brain for lesion study,” Proceedings of the 21th Annual Meeting of the Organization of Human Brain Mapping, Rome, Italy, NeuroImage, Vol. 31, Sup. 1, S62, Jun 2006

69.   K.-Happuch E., J. Zhou, Y. Y. Sitoh, W. L. Lee, J. J. Chin, M. S. Chong, and J. C. Rajapakse, “Attentional network involving dorsal ACC: digit-based counting Sroop fMR study,”  Proceedings of the 21th Annual Meeting of the Organization of Human Brain Mapping, Rome, Italy, NeuroImage, Vol. 31, Sup.1, S102, Jun 2006

70.   A. Kumar and J. C. Rajapakse, “Hidden Markov model based analysis of single trial functional MRI data,” 12th International Conference on BioMedical Engineering (ICBME 2005), Singapore, Dec 2005.

71.   G. W. L. Pang, J. Ma, and J. C. Rajapakse, “Analysis of Parkin point mutations to establish genotype-phenotype relationships,” 12th International Conference on BioMedical Engineering (ICBME 2005), Singapore, Dec 2005.

72.   X. Zheng and J. C. Rajapakse, “Disconnectivity analysis of brain disease from fMR images,” 12th International Conference on BioMedical Engineering (ICBME 2005), Singapore, Dec 2005

73.   W. Yang and J. C. Rajapakse, “Detection of activation from functional MR images based on conditional random fields,” 12th International Conference on BioMedical Engineering (ICBME 2005), Singapore, Dec 2005.

74.   K. S. Toh, M. N. Nguyen, and J. C. Rajapakse, “LVQ approach using AA indices for protein subcellular localization prediction,” Proceedings of 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2005), La Jolla, USA, pp. 296 – 302, Nov 14 - 15, 2005

75.   J. Ma, M. N. Nguyen, G. W. L. Pang, and J. C. Rajapakse, “Gene classification using codon usage patterns and SVMs,” Proceedings of 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2005), La Jolla, USA, pp. 435 – 442, Nov 14 - 15, 2005

76.   X. Yang and J. C. Rajapakse, “Robust algorithm for finding weak motifs,” Proceedings of 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2005), La Jolla, USA, pp. 414 – 419, Nov 14 - 15, 2005

77.   G. W. L. Peng and J. C. Rajapakse, “Multi-class protein subcellular localization classification using support vector machines,” Proceedings of 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2005) La Jolla, USA, pp. 526 – 533, Nov 14 - 15, 2005

78.   J. Zhou and J. C. Rajapakse, “Decision-level fusion of structural and functional MR images,” The 12th International Conference on Neural Information Processing (ICONIP 2005), Taipei, Taiwan, pp. 264 – 269, Nov 2005

79.   M. N. Nguyen and J. C. Rajapakse, “Two-stage multi-class support vector machines for protein relative solvent accessibility prediction,” The 12th International Conference on Neural Information Processing (ICONIP 2005), Taipei, Taiwan, pp. 671 – 675, Nov 2005

80.   K. M. A. Baten, S. K. Halgamuge, N. Wickramarachchi, J. C. Rajapakse, “Splice site detection using a combination of Markov model and neural network,” International Joint Conference of AASBi, InCoB, and KSBI (BIOINFO2005), Busan, Korea, Sep 2005

81.   G. W. L. Pang and J. C. Rajapakse, “Comparative genomic study of Parkinson’s disease candidate genes,” International Joint Conference on Neural Networks (IJCNN 2005), Montreal, Vol. 1, pp. 422 – 427, Aug 2005

82.   L. K. L. Joshua and J. C. Rajapakse, “Extraction of event-related potentials from EEG signals using ICA with Reference,” International Joint Conference on Neural Networks (IJCNN 2005), Montreal, Vol. 4, pp. 2526 – 2531, Aug 2005

83.   K. Pulasinghe and J. C. Rajapakse, “Syntactic approach to predict membrane spanning regions of transmembrane proteins,” F. Rothlauf, J. Branke, S. Cagnoni, et al. (eds.), Proceedings of Evolutionary Computation, Machine Learning, and Data Mining in Bioinformatics (EvoBio 2005), Lousanne, Switzerland, Lecture Notes of Computer Science, LNCS 3449, pp. 95-104, Springer Verlag, Berlin, Mar 30 – Apr 1, 2005

84.   M. N. Nguyen and J. C. Rajapakse, “Two-stage multi-class support vector machines to protein secondary structure prediction,” R. B. Altman, A. K. Dunker, L. Hunter, T. A. Jung, T. E. Klein, (Eds.), 10th Annual Pacific Symposium on Biocomputing (PSB 2005) World Scientific, New Jersey,  pp. 346 – 357, Jan 2005

85.   X. Yang, and J. C. Rajapakse, “Graphical approach to weak motif recognition,” T. Akutsu, V. Brusic, M. Kanehisa, S. Miyano, T. Takagi (Eds.), Proceedings of the Workshop of Genomic Informatics (GIW 2004), Japan, Genome Informatics, Vol. 15, Issue 2, pp. 52 -62, Universal Academic Press Inc., Dec 2004

86.   C. L. Tan, J. C. Rajapakse, W. T. Hong, W. L. Lee, Y-Y, Sitoh, “Different hemodynamic responses in Chinese, Romanized Chinese, and English Reading tasks,  Proceedings of the 2004 IEEE International Workshop on BioMedical Circuits and Systems, Singapore, S3.1, pp. 18 - 22, Dec 2004

87.   W. W. P. Tham, S. J. R. Liow, C. L. Tan, J. C. Rajapakse, S. E. S. Ng, W. E. H. Lim, L. G. Ho, “Phonological processing in Chinese-English bilingual biscriptals: an fMRI study,  Proceedings of the 2004 IEEE International Workshop on BioMedical Circuits and Systems, Singapore, S3.1, pp. 13 - 17, Dec 2004

88.   D. Imanuel, S. S. Abeysekera, J. C. Rajapakse, and K. Duan, “Efficient spectral analysis of Fourier transform mass spectrometry (FTMS) data,” Proceedings of the 2004 IEEE International Workshop on BioMedical Circuits and Systems, Singapore, S2.5, pp. 1 - 4, Dec 2004

89.   J. C. Rajapakse and S. L. Ho, “Computational approach for regulatory signal detection in genomic sequences,” First KIT Bioinformatics Workshop and Symposium, Kiyushi Institute of Technology, Japan, Dec 2004

90.   M. P. Rajapakse, J. Tan, and J. C. Rajapakse, “Color channel encoding with NMF for face recognition,” Proceedings of the IEEE International Conference on Image Processing, (ICIP04), Singapore, Vol. 3, pp. 2007 - 2010, Oct 24 – 27, 2004

91.   M. N. Nguyen and J. C. Rajapakse, “Two-stage support vector machines to protein relative accessibility prediction,” Proceedings of 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2004), La Jolla, CA, pp. 67 - 72, Oct 7 – 8, 2004

92.   X. Yang, and J. C. Rajapakse, “Graphical approach for motif recognition in DNA sequences,” Proceedings of 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2004), La Jolla, CA, pp. 147 - 152, Oct 7 – 8, 2004

93.   K. Duan and J. C. Rajapakse, “A variant of SVM-RFE for gene selection in cancer classification with expression data,” Proceedings of 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2004), La Jolla, CA, pp. 49 - 55, Oct 7 – 8, 2004

94.   G. Pang and J. C. Rajapakse, “Inferring neutral evolution from Parkinson’s disease genes,” Proceedings of 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2004), La Jolla, CA, pp. 102 - 107, Oct 7 – 8, 2004

95.   S. L. Ho and J. C. Rajapakse, “High sensitive technique for translation initiation site detection,” Proceedings of 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2004), La Jolla, CA, pp. 153 - 159, Oct 7 – 8, 2004

96.   J. C. Rajapakse, D. Srinivasan, M. J. Er., G.-B. Huang, and L. Wang, “Excerpts of research in brain sciences and neural networks in Singapore,” Proceedings of 2004 IEEE International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, pp. 369 – 375, Jun 25 – 29, 2004

97.   X. Zheng and J. C. Rajapakse, “Graphical models for brain connectivity from functional imaging data,” Proceedings of 2004 IEEE International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, pp. 531 – 536, Jun 25 – 29, 2004

98.   K. Yang and J. C. Rajapakse, “An exploratory approach to modeling effective connectivity,” Proceedings of 2004 IEEE International Symposium on Biomedical Imaging, Arlington, VA, pp. 844 - 847, Apr 15 – 18, 2004

99.   M. N. Nguyen and J. C. Rajapakse, "Multi-class Support Vector Machines for Protein Secondary Structure Prediction," M. Gribskov, et al. (Eds.), Proceedings of the Workshop of Genomic Informatics (GIW 2003), Japan, Genome Informatics, Vol. 14, pp. 218 - 227, Universal Academic Press Inc., Dec 2003.

100.S. L. Ho and J. C. Rajapakse, "Splice site detection with a higher-order Markov model implemented on a neural network," M. Gribskov, et al. (Eds.), Proceedings of the Workshop of Genomic Informatics (GIW 2003), Japan, Genome Informatics, Vol. 14, pp. 64 - 72, Universal Academic Press Inc., Dec 2003

101.K. Yang and J. C. Rajapakse, “Denoising of functional MRI using ICA,” Proceedings of 3rd International Symposium on Image and Signal Processing and Analysis, (ISPA’03), Rome, Italy, pp. 561 - 566, Sep 18 – 20, 2003

102.C. L. Tan and J. C. Rajapakse, “Tissue segmentation of multi-channel brain images with inhomogeneity correction,” Proceedings of 3rd International Symposium on Image and Signal Processing and Analysis, (ISPA’03), Rome, Italy, pp. 571 - 576, Sep 18 – 20, 2003

103.R. G. N. Meegama and J. C. Rajapakse, “Curvature-based rational surface model for the detection of age and gender-related diversity in cortical morphology,” Proceedings of 3rd International Symposium on Image and Signal Processing and Analysis, (ISPA’03), Rome, Italy pp. 411 - 416, Sep 18 – 20, 2003

104.J. C. Rajapakse, R. G. N. Meegama, and L. S. Ho, “NURBS-Based analysis of gender-related variability of the human brain surface,” Proceedings of the 7th International Conference on Control, Automation, Robotics, and Vision (ICARCV 2002), Singapore, pp. 520 – 524, Dec 2002

105.K. W. Choo and J. C. Rajapakse, "Parameter estimation of fMRI time-series using frequency analysis," Proceedings of the 7th International Conference on Control, Automation, Robotics, and Vision (ICARCV 2002), Singapore, pp. 1293 – 1298, Dec 2002

106.M. N. Nguyen and J. C. Rajapakse, "Combining GOR techniques with support vector machines for protein secondary structure prediction," Proceedings of the 7th International Conference on Control, Automation, Robotics, and Vision (ICARCV 2002), Singapore, pp. 1528 – 1533, Dec 2002

107.J. C. Rajapakse, “Blind signal processing in neuroimaging: EEG, MEG, and fMRI,” Proceedings of the 7th International Conference on Control, Automation, Robotics, and Vision (ICARCV 2002), Singapore, pp. 1180 – 1185, Dec 2002

108.J. C. Rajapakse "Emerging region segmentation," Proceedings of the 7th International Conference on Control, Automation, Robotics, and Vision (ICARCV 2002), Singapore, pp. 1706 – 1709, Dec 2002

109.S. L. Ho and J. C. Rajapakse, “Augmenting HMM with neural network for finding gene structure,” Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision (ICARCV 2002), Singapore, pp. 1522 – 1527, Dec 2002

110.S. Jian, L. Shan and J. C. Rajapakse, "Fuzzy neural approach for segmentation of subcortical structures from MR head scans," Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision (ICARCV 2002), Singapore, pp. 1534 – 1538, Dec 2002

111.R. G. N. Meegama and J. C. Rajapakse, “A NURBS based technique for the segmentation of medical images,” Proceedings of the Indian Conference on Computer Vision, Graphics, and Image Processing (ICVGIP 2002), India, Dec 2002

112.J. C. Rajapakse, L. Shan, S. Jian, and S. Peng, “Soft Computing Approach to Brain Structure Segmentation” Proceedings of the 9th International Conference on Neural Information Processing (ICONIP’02), Singapore, pp. 1534 - 1538, Nov 18 – 22, 2002

113.Y.-Y. Sitoh, J. Karthik, J. C. Rajapakse, W.-T. Hong, W.-Li. Lee, S. Sahadevan, and J.-J. Chin, “Cerebral and hippocampal volumetry in early Alzheimer’s disease,” Proceedings of the 9th International Conference on Neural Information Processing (ICONIP’02), Singapore, pp. 1523 - 1526, Nov 18 – 22, 2002

114.C. Renz, J. C. Rajapakse, K. Razvi, and S. Liang, “Overian cancer classification with missing data,” Proceedings of the 9th International Conference on Neural Information Processing (ICONIP’02), Singapore, pp. 809 - 813, Nov 18 – 22, 2002

115.W. Lu and J. C. Rajapakse, “Subspace blind extraction by less-complete ICA,” Proceedings of the 9th International Conference on Neural Information Processing (ICONIP’02), Singapore, pp. 1388 - 1392, Nov 18 – 22, 2002

116.S. L. Ho and J. C. Rajapakse, “Splice site detection with neural network/hidden Markov model hybrids,” Proceedings of the 9th International Conference on Neural Information Processing (ICONIP’02), Singapore, pp. 2249 - 2253, Nov 18 – 22, 2002

117.M. N. Nguyen and J. C. Rajapakse, “Optimal Approach to sequence-to-sequence prediction: Applications in bioinformatics,” Proceedings of 9th International Conference on Neural Information Processing (ICONIP’02), Singapore, pp. 2254 - 2258, Nov 18 – 22, 2002

118.M. N. Nguyen and J. C. Rajapakse, “Prediction of protein secondary structure using Bayesian method and support vector machines,” Proceedings of the 9th International Conference on Neural Information Processing (ICONIP’02), Singapore, pp. 616 - 620, Nov 18 – 22, 2002

119.J. C. Rajapakse and I. Faleel, “Genetic approach to biosequence alignment (GABA),” Proceedings of the 9th International Conference on Neural Information Processing (ICONIP’02), Singapore, pp. 611 - 615, Nov 18 – 22, 2002

120.C. L. Tan and J. C. Rajapakse, “Tissue segmentation of MR images using first order polynomial modeling,” Proceedings of the 9th International Conference on Neural Information Processing (ICONIP’02), Singapore, pp. 1661 - 1665, Nov 18 – 22, 2002

121.R. G. N. Meegama and J. C. Rajapakse, “NURBS-based detection of age-related variability of human brain surface,” Proceedings of the 9th International Conference on Neural Information Processing (ICONIP’02), Singapore, pp. 211 - 215, Nov 18 – 22, 2002

122.S. Peng and J. C. Rajapakse, “Fuzzy region integration approach for subcortical structure segmentation,” Proceedings of the 9th International Conference on Neural Information Processing (ICONIP’02), Singapore, pp. 1419 - 1423, Nov 18 – 22, 2002

123.J. C. Rajapakse, A. Cichocki, and V. D. Sanchez A., “Independent component analysis and beyond in brain imaging: EEG, MEG, fMRI, and PET,” Proceedings of the 9th International Conference on Neural Information Processing (ICONIP’02), Singapore, pp. 404 - 412, , Nov 18 – 22, 2002 (Invited paper)

124.A. Omondi and J. C. Rajapakse, “Neural networks in FPGAs,” Proceedings of the 9th International Conference on Neural Information Processing (ICONIP’02), Singapore, pp. 954 - 958, , Nov 18 – 22, 2002 (Invited Paper)

125.K. W. Choo and J. C. Rajapakse, “Wavelet analysis of event-related fMRI experiments,” Proceedings of the 9th International Conference on Neural Information Processing (ICONIP’02), Singapore, pp. 1671 - 1675, Nov 18 – 22, 2002

126.J. C. Rajapakse, A. Cichocki, and K. Siwek, “Non independent strategies for blind source separation in functional MRI,” Proceedings of the 9th International Conference on Neural Information Processing (ICONIP’02), Singapore, pp. 1654 – 1660, Nov 18 – 22, 2002

127.C. L. Tan and J. C. Rajapakse, “Bayesian tissue segmentation of multispectral brain images,” Proceedings of the 9th International Conference on Neural Information Processing (ICONIP’02), Singapore, pp. 206 – 210, Nov 18 – 22, 2002

128.F. Kruggel, C. Chalopin, X. Descombes, V. Kovalev, and J. C. Rajapakse, “Segmentation of pathological features in MRI datasets,” Proceedings of the 9th International Conference on Neural Information Processing (ICONIP’02), Singapore, pp. 2673 – 2682, Nov 18 – 22, 2002

129.Z. Xiang, Z. Dazhi, T. Jinwen, P. Shichun, and J. C. Rajapakse, “A hybrid method for 3D segmentation of MR brain images,” Proceedings of 6th  International Conference on Signal Processing     (ICSP' 02), Beijing, China, Aug 2002

130.R. G. N. Meegama and J. C. Rajapakse, "Active contours: Recent developments and NURGS snakes," Digital Image Computing Techniques and Applications (DICTA’02), Melbourne, Australia, Jan 2002

131.W. Lu and J. C. Rajapakse, "ICA with reference," Proceedings of 3rd International Conference on Independent Component Analysis and Blind Signal Separation (ICA’01), San Diego, Dec 2001

132.J. C. Rajapakse and W. Lu, "Semi-blind ICA applied to functional MRI," Proceedings of 3rd International Conference on Independent Component Analysis and Blind Signal Separation (ICA’01), San Diego, Dec 2001

133.J. Piyaratna, J. C. Rajapakse, and J. Hennig, "Eigenimage analysis of resting brain fMR images," Singapore. Proceedings of the 8th International Conference on Information, Communications & Signal Processing (ICICS‘01), Singapore, Dec 2001 

134.R. G. N. Meegama, J. C. Rajapakse, N. M. I. Lundbom, and K. Vuori, "Fully automated peeling technique for MR head scans," Proceedings of the 8th International Conference on Information, Communications & Signal Processing (ICICS’01), Singapore, Dec 2001

135.R. G. N. Meegama and J. C. Rajapakse, "NURBS-based modeling of human brain surface," Proceedings of the 8th International Conference on Information, Communications & Signal Processing (ICICS’01), Singapore, Dec 2001

136.R. G. N. Meegama and J. C. Rajapakse, "NURBS-snakes," Proceedings of the 8th International Conference on Neural Information Processing (ICONIP’01), Shanghai, Vol. 1 – 3, pp. 424 – 429, Nov 14 – 18,  2001

137.W. Lu and J. C. Rajapakse, "Extracting a desired source in ICA," Proceedings of the 8th International Conference on Neural Information Processing (ICONIP’01), Shanghai, China, Vol. 1 – 3, pp. 801 – 809, Nov 14 – 18,  2001

138.W. Lu and J. C. Rajapakse, "Application of ICA using stimulation as reference to extract task-related component in fMRI," Proceedings of the 8th International Conference on Neural Information Processing (ICONIP’01), Shanghai, China, Vol. 1 – 3, pp. 1023 – 1028, Nov 14 – 18,  2001

139.W. Lu, and J. C. Rajapakse, "Constrained independent component analysis", Todd Leen, Tom Dietterich, Volker Tresp (Eds), Proceedings of the 14th Annual Neural Information Processing Systems Conference (NIPS), Denver, Colorado, Advances in Neural Information Processing Systems, Vol. 13,  pp. 570 - 576, MIT Press, 2001

140.V. Venkatraman and J. C. Rajapakse, "Dynamically weighted time-delay neural networks for temporal functional approximation," Proceedings of 2001 IEEE International Joint Conference on Neural Networks (IJCNN), Washington, DC, Vol. 4, pp. 2768 – 2773, Jul 15 – 19, 2001

141.W. Lu and J. C. Rajapakse, "Unique ICA solution by eliminating indeterminacy," Proceedings of 2001 IEEE International Joint Conference on Neural Networks (IJCNN), Washington, DC, Vol. 1, pp. 388 – 393, Jul 15 – 19, 2001

142.J. C. Rajapakse and A. R. Omondi, "Comparative study of implementing ICNNs on FPGAs," Proceedings of 2001 IEEE International Joint Conference on Neural Networks (IJCNN), Washington, DC, Vol. 1, pp. 177 – 182, Jul 15 – 19, 2001

143.H. P. Ong and J. C. Rajapakse, "Fuzzy-Region-Segmentation," Proceedings of 2001 IEEE International Joint Conference on Neural Networks (IJCNN), Washington, DC, Vol. 2, pp. 1374 – 1379, Jul 15 – 19, 2001

144.J. Piyaratna and J. C. Rajapakse "Spatiotemporal analysis of functional images using the fixed effect model," M. F. Insana and R. M. Leahy (Eds.), Proceedings of Information Processing in Medical Imaging (IPMI 2001), Irvine, CA, Lecture Notes in Computer Science, LNCS, pp. 190 - 196, Springer, Berlin, Jun 2001

145.V. Venkatraman and J. C. Rajapakse, "A dynamically weighted time-delay neural network for modeling fMRI response," Proceedings of Joint Annual Meeting of ISMRM-ESMRMB, Glassgow, Apr 2001

146.J. C. Rajapakse and J. Piyaratna, "Fixed effect model for analyzing the spatiotemporal brain," Proceedings of Joint Annual Meeting of ISMRM-ESMRMB, Glassgow, Apr 2001

147.C. L. Tan and J. C. Rajapakse, "Neuroanatomical segmentation of MR brain images," Proceedings of Joint Annual Meeting of ISMRM-ESMRMB, Glassgow, Apr 2001

148.J. C. Rajapakse, S. P. Chua, L.-H. Ling, and J. Piyaratna, "Multi-feature Bayesian segmentation of ultrasound images", Proceedings of the 6th International Conference on Control, Automation, Robotics, and Vision (ICARCV 2000), Singapore, Dec 2000

149.J. Piyaratna and J. C. Rajapakse, "Spatiotemporal analysis of functional images using Markov model", Proceedings of the 6th International Conference on Control, Automation, Robotics, and Vision (ICARCV 2000), Singapore, Dec 2000

150.C. L. Tan and J. C. Rajapakse, "Finding parameters in variational image segmentation", Proceedings of the 6th International Conference on Control, Automation, Robotics, and Vision (ICARCV 2000), Singapore, Dec 2000

151.F. Kruggel and J. C. Rajapakse, "Image processing and acquisition in neuroscience", Proceedings of the 7th International Conference on Neural Information Processing (ICONIP’00), Korea, Nov 2000, (Invited Paper)

152.H. P. Ong and J. C. Rajapakse, "Fuzzy region growing," Proceedings of the 7th International Conference on Neural Information Processing (ICONIP’00), Korea, Nov 2000

153.V. Venkatraman, J. C. Rajapakse, and S. S. Abeysekera, " Baseline correction of  functional MR time-series," Proceedings of the 7th International Conference on Neural Information Processing (ICONIP’00), Korea, Nov 2000

154.J. Piyaratna and J. C. Rajapakse, "Gaussian and Markov random field approaches for detection of activation in fMRI," Proceedings of the 7th International Conference on Neural Information Processing (ICONIP’00), Korea, Nov 2000

155.J. Piyaratna and J. C. Rajapakse, "Spatiotemporal decomposition of functional images incorporating brain connectivity," Proceedings of the 7th International Conference on Neural Information Processing (ICONIP’00), Korea, Nov 2000

156.W. Lu and J. C. Rajapakse, “Less complete independent component neural networks,” European Symposium on Artificial Neural Networks (ESANN’00), Belgium, Apr 2000

157.B. Guojun and J. C. Rajapakse, “Boundary-based movement correction of functional MR data using a genetic algorithm,” European Symposium on Artificial Neural Network, (ESANN’00), Belgium, Apr 2000

158.W. Lu and J. C. Rajapakse, “Approach to less complete independent component analysis,” Neural Computation (NC 2000), Berlin, Apr 2000

159.B. Guojun and J. C. Rajapakse, “Chamfer-distance based genetic algorithm for multimodal image registration,” Neural Computation (NC 2000), Berlin, Apr 2000

160.J. C. Rajapakse and W. Lu, “Unified approach to independent component networks,” Neural Computation (NC 2000), Berlin, Apr 2000

161.V. Venkatraman, M. W. L. Chee, and J. C. Rajapakse, “Optimization of block-design fMR experiments using different strategies for distributed sampling,” Proceedings of the 8th Scientific Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM 2000), Apr 2000

162.J. C. Rajapakse, V. Venkatraman, and S. S. Abeysekera, “Frequency analysis of fMR time-series” Proceedings of the 7th International Conference on Information, Communication, and Signal Processing (ICICS’99), Singapore, Dec 1999

163.J. C. Rajapakse, V. K. Loh, I. McLoughlin, and W. Lu, “Performance comparison of ICA neural networks separating audio signals,” Proceedings of the 7th International Conference on Information, Communication, and Signal Processing (ICICS’99), Singapore, Dec 1999

164.J. C. Rajapakse and J. Piyaratna, “Contextual clustering of statistical maps,” Proceedings of the 7th International Conference on Information, Communication, and Signal Processing (ICICS’99), Singapore, Dec 1999

165.W. Lu and J. C. Rajapakse, “Principal independent component analysis,” Proceedings of the 7th International Conference on Information, Communication, and Signal Processing (ICICS’99), Singapore, Dec 1999

166.C. L. Tan and J. C. Rajapakse, “Fitting piecewise-smooth functions to noisy data,” Proceedings of the 7th International Conference on Information, Communication, and Signal Processing (ICICS’99), Singapore, Dec 1999

167.J. C. Rajapakse and V. Venkatraman, “Neural network modeling of neuronal-vascular coupling,” Proceedings of the 6th International Conference on Neural Information Processing (ICONIP’99), Perth, Australia, pp. 934 – 940, Nov 1999

168.J. C. Rajapakse and C. L. Tan, “Emerging segmentation of neuroanatomical structures in magnetic resonance images,” Proceedings of the 6th International Conference on Neural Information Processing (ICONIP’99), Perth, Australia, pp. 910 – 916, Nov 1999

169.J. C. Rajapakse and B. Guojun, “Functional MR image registration using a genetic algorithm,” Proceedings of the 6th International Conference on Neural Information Processing (ICONIP’99), Perth, Australia, pp. 922 – 928, Nov 1999

170.K. K. Lee and J. C. Rajapakse, “Random grid stereology applied to MR brain images,” Proceedings of the 6th International Conference on Neural Information Processing (ICONIP’99), Perth, Australia, pp. 916 – 922, Nov 1999

171.J. C. Rajapakse, "Hemodynamic parameter maps," Proceedings of Conference of the International Graphonomics Society, Singapore, Jun 1999

172.J. C. Rajapakse, "Probabilistic fusion of hemodynamic parameter maps," Proceedings of Southern Biomedical Engineering Conference, Clemson, USA, May 1999

173.J. C. Rajapakse and K. K. Lee, "Efficient sampling in stereologic volumetry,", Proceedings of Southern Biomedical Engineering Conference, Clemson, USA, May 1999

174.J. C. Rajapakse and F. Kruggel, "Neuronal and hemodynamic responses from functional MRI time-series," Proceedings of the 5th the International Conference on Neural Information Processing (ICONIP’97), Dunedin, New Zealand, Progress in Connectionist-Based Information Systems, Vol. 1 – 2, pp. 30 - 33, Sep 1997

175.J. N. Giedd, A. C. Vaituzis, J. C. Rajapakse, et al., “Quantitative MRI of the temporal lobe, amyg­dala and hippocampus,” Proceedings of Meeting of Society for Neuroscience, San Diego, USA, 1995

176.F. X. Castellanos, J. N. Giedd, J. C. Rajapakse, et al., “Quantitative brain magnetic resonance imaging in attention‑deficit/hyperactivity disorder,” Proceedings of Meeting of Society for Neuroscience, San Diego, USA, 1995

177.J. C. Rajapakse, R. Acharya, and R. Wasserman, “Multimodality fusion of physiological imaging using regularization theory and deformable models,” Proceedings of SPIE Conference on Physiology and Function from Multidimensional Images, Newport Beach, CA, Vol. 2168, pp. 246 – 259, Feb 13 – 14, 1994

178.R. Wasserman, J. C. Rajapakse, and R. Acharya, “Multi-modality medical imaging for radiotherapy treatment planning,” Proceedings of IEEE Workshop on Biomedical Image Analysis, Seatle, USA, IEEE Computer Society, 1994

179.J. C. Rajapakse and R. Acharya, “Regularization approach to multi‑sensor reconstruction,” Proceedings of SPIE Conference on Sensor Fusion VI, Boston, MA, Vol. 2059, pp. 260 – 271, Sep 7 – 8, 1993

180.J. C. Rajapakse and R. Acharya, “Neuromorphic model for information fusion,” Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP’91), Toronto, Canada, Vol. 4, pp. 2397 – 2400, May 14 – 17, 1991

181.J. C. Rajapakse and R. Acharya, “Hierarchical neural architecture for pattern recognition and reconstruction,” Proceedings of SPIE Conference on Parallel Architectures for Image Processing, San Diego, USA, Vol. 1246, pp. 288 – 296, 1990

182.J. C. Rajapakse and R. Acharya, “Medical image segmentation with MARA,” Proceedings of IEEE/INNS International Joint Conference on Neural Networks (IJCNN’90), Washington D.C., USA, Jun 15 – 19, 1990

183.J. C. Rajapakse and R. Acharya, “Multisensor data fusion within hierarchical neural networks,” Proceedings of IEEE/INNS International Joint Conference on Neural Networks (IJCNN’90), Washington D.C., USA, Jun 15 – 19, 1990

184.J. C. Rajapakse, O. G. Jakubowicz and R. S. Acharya, “A real-time ART‑1 based vision system for distortion invariant recognition and auto‑association,” Proceedings of IEEE/INNS International Joint Conference on Neural Networks (IJCNN’90), Washington D.C., Vol. 1 – 2, pp. B298 – B301, Jun 15 – 19, 1990

185.J. C. Rajapakse and R. Acharya, “Sensor fusion and automatic target recognition using MARA type networks,” Proceedings of Conference on Neural Networks for Automatic Target Recognition, Boston, USA, May 1990

 

----

Last updated on 7/3/2012