Publications

[*] = journal publication

  1. T. Bubba, G. Easley, T. Heikkila, D. Labate and J. Rodriguez Ayllon, "Efficient representation of spatio-temporal data using cylindrical shearlets”, Journal of Computational and Applied Mathematics 429, 115206 (doi: 10.1016/j.cam.2023.115206)(2023).
    [online link] - [PDF file] [*]

  2. D. Labate, C. Kayasandik, "Advances in quantitative analysis of astrocytes using machine learning", Neural Regeneration Research 18(2), pp.313-314 (doi:10.4103/1673-5374.346474) (2023)
    [online link] - [PDF file] [*]

  3. J. Schmalfuss, E. Scheurer, H. Zhao, N. Karantzas, A. Bruhn and D. Labate, "Blind Image Inpainting with Sparse Directional Filter Dictionaries for Lightweight CNNs", Journal of Mathematical Imaging and Vision 65(2), pp 323-339 (doi:10.1007/s10851-022-01119-6)(2023)
    [PDF file] [*]

  4. Y. Huang, A. Kruyer, S. Syed, C. Kayasandik, M. Papadakis and D. Labate, "Automated detection of GFAP-labeled astrocytes in micrographs using YOLOv5", Scientific Reports 12, Article number: 22263, (doi: 10.1038/s41598-022-26698-7) (2022).
    [online link] - [PDF file] [*]

  5. D. Labate, "Remarks about Guido Weiss' contributions to wavelets", La Gaceta de la Real Sociedad Matemática Espanola (2022)
    [PDF file]

  6. N. Fularczyk, J. Di Re, L. Stertz, C. Walss-Bass, F. Laezza, D. Labate, "A learning based framework for disease prediction from images of human-derived pluripotent stem cells of schizophrenia patients", Neuroinformatics 20(2), pp.513-523 (doi:10.1007/s12021-022-09561-y) (2022)
    [online link] - [PDF file] [*]

  7. J. Di Re, W. Jim Hsu, C. B. Kayasandik, N Fularczyk, T F James, M. Nenov, P. Negi, M Marosi, F. Scala, S. Prasad, D. Labate, F. Laezza, "Inhibition of AKT signaling alters beta-IV spectrin distribution at the AIS and increases neuronal excitability", Frontiers In Molecular Neuroscience 14, 643860 (doi:10.3389/fnmol.2021.643860) (2021)
    [online link] [*]

  8. C. Conti, M. Cotronei, D. Labate, W. Molina, "Stable recovery of planar regions with algebraic boundaries in Bernstein form", Advances in Computational Mathematics 47(18) (doi:10.1007/s10444-021-09843-0)(2021)
    [PDF file] [*]

  9. G. Easley, K. Guo, D. Labate, B. R. Pahari, "Optimally sparse representations of cartoon-like cylindrical data", The Journal of Geometric Analysis 31, pp. 8926–8946 (doi:10.1007/s12220-020-00493-0)(2021)
    [PDF file] [*]

  10. K. Safari, S. Prasad, D. Labate, "A multiscale deep learning approach for high-resolution hyperspectral image classification", Geoscience and Remote Sensing Letters 18(1) Jan. 2021 (doi: 10.1109/LGRS.2020.2966987)(2021).
    [PDF file] [*]

  11. K. Guo, D. Labate, J. P. Rodriguez Ayllon, "Image inpainting using sparse multiscale representations: image recovery performance guarantees", Appl. Comput. Harmon. Anal. 49(2), pp. 343-380 (doi:10.1016/j.acha.2020.05.001) (2020)
    [PDF file] [*]

  12. D. Labate, B. R. Pahari, S. Hoteit, M. Mecati, "Quantitative methods in ocular fundus imaging: Analysis of retinal microvasculature", in "Landscapes of Time-Frequency Analysis - ATFA 2019", Boggiato et al. eds., pp. 157-174, Birkhauser, 2020.
    [PDF file]

  13. C. Kayasandik, W. Ru and D. Labate, "A multistep deep learning framework for the automated detection and segmentation of astrocytes in fluorescent images of brain tissue", Scientific Reports 10, Article number: 5137 (doi: 10.1038/s41598-020-61953-9) (2020).
    [online link] - Errata corrige - [PDF file] [*]

  14. B. Goossens, D. Labate and B Bodmann, "Robust and stable region-of-interest tomographic reconstruction using a robust width prior", Inverse Problems and Imaging 14(2) pp. 291-316 (doi: 10.3934/ipi.2020013) (2020).
    [PDF file] [*]

  15. D. Labate, K. Safari, N. Karantzas, S. Prasad, F. Foroozandeh Shahraki, "Structured Receptive Field Networks and applications to hyperspectral image classification", Proc. SPIE 11138, Wavelets and Sparsity XVIII, 111380O (9 September 2019) (https://doi.org/10.1117/12.2527712).
    [PDF file]

  16. B. G. Bodmann, D. Labate, B. R. Pahari, "Smooth projections and the construction of smooth Parseval frames of shearlets", Advances in Computational Mathematics 45 pp. 3241–3264 (doi: 10.1007/s10444-019-09736-3) (2019).
    [PDF file] [*]

  17. J. Di Re, C. Kayasandik, G. Botello-Lins, D. Labate, F. Laezza, "Imaging of the Axon Initiation Segment", Current Protocols in Neuroscience 89(1) e78 (doi: 10.1002/cpns.78) (2019).
    [online link] [*]

  18. C. Kayasandik, K. Guo, and D. Labate, "Directional multiscale representations and applications in digital neuron reconstruction" Journal of Computational and Applied Mathematics 349(15) pp 482-493 (https://doi.org/10.1016/j.cam.2018.09.003) (2019).
    [PDF file] [*]

  19. K. Guo, and D. Labate, "Geometric Separation in R3", J. Fourier Anal. Appl. 25(1) pp 108–130 (doi.org/10.1007/s00041-017-9569-z) (2019).
    [PDF file] [*]

  20. C. Kayasandik, P. Negi, F. Laezza, M. Papadakis, and D. Labate "Automated sorting of neuronal trees in fluorescent images of neuronal networks using NeuroTreeTracer", Scientific Reports 8, Article number 6450 (doi: 10.1038/s41598-018-24753-w) (2018).
    [online link] - [PDF file] [*]

  21. K. Guo, and D. Labate, "Detection of singularities by discrete multiscale transforms", The Journal of Geometric Analysis 28(3) pp 2102–2128(doi: 10.1007/s12220-017-9897-x) (2018).
    [PDF file] [*]

  22. R. Azencott, B. Bodmann, T. Chowdhury, D. Labate, A. Sen, and D. Vera, "Region-of-Interest reconstruction from truncated cone-beam projections", Inverse Problems and Imaging 12(1), p. 29-57 (doi: 10.3934/ipi.2018002) (2018).
    [PDF file] [*]

  23. T.A. Bubba, D. Labate, G. Zanghirati, S. Bonettini, "Shearlet-based regularized reconstruction in region-of-interest computed tomography", Math. Model. Nat. Phenom. 13(4) Article number 34 (2018) (https://doi.org/10.1051/mmnp/2018014).
    [PDF file] [*]

  24. M. A. Borgi, T. P. Nguyen, D. Labate, C. Ben Amar, "Statistical binary pattern and post-competitive representation for pattern recognition", International Journal of Machine Learning and Cybernetics 9(6) p. 1023–1038 (doi:10.1007/s13042-016-0625-9) (2018).
    [PDF file] [*]

  25. J. Hsu, P. Negi, M. Nenov, F. Thomas, C. Kayasandik, A. Limon, B.E. Hjelm, M.O. Vawter, S. Prasad, D. Labate, F. Laezza, "Akt Dysfunction Leads to Structure- Function Changes in the Voltage-Gated Na+ Channel Complex at Axonal Initial Segment That Mimic Endophenotypes Associated With Schizophrenia", ACNP 56th Annual Meeting (2017) in Neuropsychopharmacology 2017.

  26. P. Singh, P. Hernandez-Herrera, D. Labate, M. Papadakis, "Automated 3-D detection of dendritic spines from in vivo two-photon image stacks" Neuroinformatics 15(4) pp. 303-319 (doi: 10.1007/s12021-017-9332-2) (2017)
    [online link] - [PDF file] [*]

  27. S. Prasad, D. Labate, M. Cui, Y. Zhang, "Morphologically Decoupled Multi-Scale Sparse Representation for Hyperspectral Image Analysis", IEEE Transactions on Geoscience and Remote Sensing 55(8), pp. 4355–4366 (doi: 10.1109/TGRS.2017.2691607) (2017)
    [PDF file] [*]

  28. S. Dahlke, F. De Mari, E. De Vito, D. Labate, G. Steidl, G. Teschke and S. Vigogna, "Coorbit spaces with voice in a Frechet space", J. Fourier Anal. Appl. 23(1), p. 141–206 (doi: 10.1007/s00041-016-9466-x) (2017)
    [PDF file] [*]

  29. K. Guo, and D. Labate, "Microlocal analysis of edge flatness through directional multiscale representations", Advances in Computational Mathematics 43(2), pp. 295-318 (doi: 10.1007/s10444-016-9486-8) (2017).
    [PDF file] [*]

  30. S. Prasad, D. Labate, M. Cui, Y. Zhang, "Rotation invariance through structured sparsity for robust hyperspectral image classification", ICASSP (2016)
    [PDF file]

  31. C. Kayasandik. D. Labate "Improved detection of soma location and morphology in fluorescence microscopy images of neurons", Journal of Neuroscience Methods 274 p. 61-70 (doi:10.1016/j.jneumeth.2016.09.007) (2016)
    [online link] - [PDF file] [*]

  32. P. Singh, P. Negi, F. Laezza, M. Papadakis, D. Labate "Multiscale analysis of neurite orientation and spatial organization in neuronal images" Neuroinformatics 14(4) p. 465-77 (doi: 10.1007/s12021-016-9306-9) (2016)
    [online link] - [PDF file] [*]

  33. T. K. Alshammari, M. A. Alshammari, M. N. Nenov, E. Hoxha, M. Cambiaghi, A. Marcinno, T. F. James, P. Singh, D. Labate, J. Li, H. Y. Meltzer, B. Sacchetti, F. Tempia and F. Laezza, "Genetic deletion of fibroblast growth factor 14 recapitulates phenotypic alterations underlying cognitive impairment associated with schizophrenia", Translational Psychiatry 6 doi:10.1038/tp.2016.66 (2016)
    [PDF file] - [HTML online] [*]

  34. K. Guo, and D. Labate, "Characterization and analysis of edges in piecewise smooth functions", Appl. Comput. Harmon. Anal. 41(1) July 2016 p. 139-163 (doi:10.1016/j.acha.2015.10.007) (2016).
    [PDF file] [*]

  35. R. Houska, and D. Labate, "Detection of boundary curves on the piecewise smooth boundary surface of three dimensional solids", Appl. Comput. Harmon. Anal. 40(1) p. 137-171 (doi:10.1016/j.acha.2015.01.004) (2016).
    [PDF file] [*]

  36. D. Jimenez, D. Labate, and M. Papadakis, "Directional analysis of 3D tubular structures via isotropic well-localized atoms", Appl. Comput. Harmon. Anal. 40(3) May 2016, p. 588–599 (doi:10.1016/j.acha.2015.08.011) (2016)
    [PDF file] [*]

  37. T. K. Alshammari, M. A. Alshammari, M. N. Nenov, E. Hoxha, M. Cambiaghi, A. Marcinno, T. F. James, P. Singh, D. Labate, J. Li, H. Y. Meltzer, B. Sacchetti, F. Tempia, F. Laezza, "Fibroblast Growth Factor 14 is an essential element of the inhibitory circuit that controls cognitive function associated with schizophrenia", ACNP 54th Annual Meeting (Hollywood, FL, Dec 6-10, 2015), in: Neuropsychopharmacology (2015) vol. 40, S540.
    [PDF file]

  38. S. Dahlke, F. De Mari, P. Grohs and D. Labate, "Harmonic and Applied Analysis: From Groups to Signals", Birkhäuser, 2015.
    [Book Cover, Order from Amazon]

  39. D. Labate, P. Negi, B. Ozcan, M. Papadakis, "Directional ratio based on parabolic molecules and its application to the analysis of tubular structures", Wavelets and Sparsity XVI (San Diego, CA, 2015), SPIE Proc. (2015).
    [PDF file]

  40. G. R. Easley, M. Barbu-McInnis, D. Labate, "Image registration using the shearlet transform", Wavelets and Sparsity XVI (San Diego, CA, 2015), SPIE Proc. (2015).
    [PDF file]

  41. T.A. Bubba, D. Labate, G. Zanghirati, S. Bonettini and B. Goossens, "Shearlet-based regularized ROI reconstruction in fan beam computed tomography", Wavelets and Sparsity XVI (San Diego, CA, 2015), SPIE Proc. (2015).
    [PDF file]

  42. G. Gao, Y. Liu and D. Labate, "A two-stage shearlet-based approach for the removal of random-valued impulse noise in images", J. Vis. Commun. Image Represent. 32 p. 83-94 (2015).
    [PDF file] [*]

  43. K. Guo, and D. Labate, "Efficient analysis and detection of edges through directional multiscale representations," in: "Harmonic and applied analysis. From groups to signals", Editors: S. Dahlke, F. DeMari, P. Grohs, D. Labate, Birkhäuser, Boston, 2015.
    [PDF file]

  44. B. Ozcan, P. Negi, F. Laezza, M. Papadakis, D. Labate, "Automated detection of soma location and morphology in neuronal network cultures", PLOS ONE 10(4) (2015).
    [PDF file] [*]

  45. D. Jimenez, D. Labate, I. A. Kakadiaris and M. Papadakis, "Improved automatic centerline tracing for dendritic and axonal structures", Neuroinformatics 13(2) p. 227-244 (2015)
    [PDF file] [*]

  46. T.F. James, M.N. Nenov, N.C. Wildburger, C. Litchi, J. Luisi, F. Vergara, N. Panova-Electronova, C.L. Nilsson, J. Rudra, T. A. Green, D. Labate and F. Laezza, "The Nav1.2 channel is regulated by glycogen synthase kinase 3 (GSK3)", Biochimica et Biophysica Acta - General Subjects 1850(4) p. 832-844 (2015)
    [PDF file] [*]

  47. K. Guo, and D. Labate, "Geometric separation of singularities using combined multiscale dictionaries", J. Fourier Anal. Appl. 21(4) p. 667-693 (doi=10.1007/s00041-014-9381-y) (2015).
    [PDF file] [*]

  48. M. A. Borgi, D. Labate, M. El Arbi, C. Ben Amar, "Sparse Multi-Stage Regularized Feature Learning for robust Face Recognition" Expert Systems with Applications 42(1) p. 269-279 (2015)
    [PDF file] [*]

  49. M. A. Borgi, D. Labate, M. El Arbi, C. Ben Amar, "Regularized Directional Features Learning For Face Recognition", Multimedia Tools and Applications 74(24) p. 11281-11295 (2015)
    [PDF file] [*]

  50. M. A. Borgi, M. El'Arbi, D. Labate, C. Ben Amar, "Face, gender and race classification using multi-regularized features learning", International Conference on Image Processing (ICIP), (2014)
    [PDF file]

  51. M. A. Borgi, D. Labate, M. El Arbi, C. Ben Amar, "Sparse multi-regularized shearlet-network using convex relaxation for face recognition", International Conference on Pattern Recognition (ICPR), (2014)
    [PDF file]

  52. M. A. Borgi, D. Labate, M. El Arbi, C. Ben Amar, "ShearFace: Efficient extraction of anisotropic features for face recognition", International Conference on Pattern Recognition (ICPR), (2014)
    [PDF file]

  53. M. A. Borgi, D. Labate, M. El Arbi, C. Ben Amar, "Regularized shearlet network for face recognition using single-sample-per-person", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), (2014)
    [PDF file]

  54. X. G. Serra, V. M. Patel, D. Labate and R. Chellappa "Discrete Shearlet Transform on GPU with applications in anomaly detection and denoising", EURASIP J. Adv. Signal Process. 2014:64 (10 May 2014) (2014).
    [PDF file] [*]

  55. D. Labate, F. Laezza, B. Ozcan, P. Negi, M. Papadakis, "Efficient processing of fluorescence images using directional multiscale representations", Math. Model. Nat. Phenom. 9(5) p. 177-193 (2014).
    [PDF file] [*]

  56. K. Guo, R. Houska, and D. Labate, "Microlocal analysis of singularities from directional multiscale representations", Proceedings from: Approximation Theory XIV: San Antonio 2013 (April 7-10, 2013, San Antonio, Texas). Springer Proceedings in Mathematics & Statistics, Volume 83, 2014, pp 173-196 .
    [PDF file]

  57. G. R. Easley, D. Labate and V. Patel, "Directional multiscale processing of images using wavelets with composite dilations", J. Math. Imag. Vision 48(1) p. 13-34 (2014).
    [PDF file] [*]

  58. H. Dinh, D. Jimenez, E. Papadakis, F. Laezza, and D. Labate, "Automated quantitative analysis of confocal images of neuronal network cultures", submitted (2013).
    [PDF file]

  59. B. Ozcan, D. Labate, D. Jimenez, and M. Papadakis, "Directional and non-directional representations for the characterization of neuronal morphology", Wavelets XV (San Diego, CA, 2013), SPIE Proc. 8858 (2013).
    [PDF file]

  60. D. Labate, G. Easley, and K. Guo, "Optimal restoration of noisy 3D X-ray data via shearlet decompositions", Wavelets XV (San Diego, CA, 2013), SPIE Proc. 8858 (2013).
    [PDF file]

  61. M. A. Borgi, D. Labate, M. El Arbi, C. Ben Amar, "Shearlet-network-based sparse coding augmented by facial texture features for face recognition", The 17th International Conference on Image Analysis and Processing (ICIAP), (2013)
    [PDF file]

  62. A. Sen, B. Bodmann, X. Zhou, K. Li, I. Patrikeev, M. Motamedi, D. Labate and R. Azencott, "Full 3D ROI Image Reconstruction from Highly Collimated Computed Tomography", submitted (2012).
    [PDF file]

  63. D. Jimenez, E. Papadakis, D. Labate, and I. A. Kakadiaris, "Improved automatic centerline tracing for dendritic structures", 9th IEEE International Symposium on Biomedical Imaging (ISBI), (2013).
    [PDF file]

  64. D. Labate, G. Weiss, and E. N. Wilson, "Wavelets", Notices of the AMS 60(1) p. 66-76 (2013). [Note: the article also appeared in "Mathematical Advance in Translation", vol. 32, No.4. p. 289-302].
    [PDF file] [*]

  65. D. Labate, L. Mantovani, and P. S. Negi, "Shearlet smoothness spaces", J. Fourier Anal. Appl. 19(3) p. 577-611 (2013).
    [PDF file] [*]

  66. G. Easley, D. Labate, and P. S. Negi, "3D data denoising using combined sparse dictionaries", Math. Model. Nat. Phenom. 8(1) p. 60-74 (2013).
    [PDF file] [*]

  67. K. Guo, and D. Labate, "The construction of smooth Parseval frames of shearlets", Math. Model. Nat. Phenom. 8(1) p. 82-105 (2013).
    [PDF file] [*]

  68. K. Guo, and D. Labate, "Optimal recovery of 3D X-ray tomographic data using the shearlet representation", Advances in Computational Mathematics 39(2) p.227-255 (2013).
    [PDF file] [*]

  69. P. Hernandez-Herrera , D. Jimenez, I. A. Kakadiaris, A. Koutsogiannis, D. Labate, F. Laezza and E. Papadakis, "A harmonic analysis view on neuroscienece imaging", in: Excursions in Harmonic Analysis: February Fourier Talks at the Norbert Wiener Center for Harmonic Analysis and Applications. Editors: J. Benedetto, T. Andrews, R. Balan, W. Czaja, K. Okoudjou. Birkhäuser 2012.
    [PDF file]

  70. G. R. Easley, D. Labate and V. Patel, "Hyerbolic shearlets", Proceedings of 2012 IEEE International Conference on Image Processing (ICIP), Orlando, FL, (2012).
    [PDF file]

  71. G. Kutyniok and D. Labate, "Shearlets: Multiscale analysis for multivariate data", Birkhäuser, 2012.
    [Book Cover, Order from Amazon]

  72. G. Kutyniok and D. Labate, "Introduction to shearlets", in: "Shearlets: Multiscale analysis for multivariate data", Editors: G. Kutyniok and D. Labate, Birkhäuser, Boston, 2012.
    [PDF file]

  73. K. Guo and D. Labate, "Analysis and identification of multidimensional singularities using the continuous shearlet transform", in: "Shearlets: Multiscale Analysis for Multivariate Data", Editors: G. Kutyniok and D. Labate, Birkhäuser, Boston, 2012.
    [PDF file]

  74. G. Easley and D. Labate, "Image processing using shearlets", in: "Shearlets: Multiscale analysis for multivariate data", Editors: G. Kutyniok and D. Labate, Birkhäuser, Boston, 2012.
    [PDF file]

  75. K. Guo, and D. Labate, "Characterization of piecewise-smooth surfaces using the 3D continuous shearlet transform", J. Fourier Anal. Appl. 18 p. 488-516 (2012).
    [PDF file] [*]

  76. K. Guo, and D. Labate, "Optimally sparse representations of 3D data with C2 surface singularities using Parseval frames of shearlets", SIAM J Math. Anal. 44 p. 851-886 (2012).
    [PDF file] [*]

  77. P. S. Negi and D. Labate, "3D discrete shearlet transform and video processing", IEEE Trans. Image Process. 21(6) p. 2944-2954 (2012).
    [PDF file] [*]

  78. G. R. Easley, and D. Labate, "Critically sampled wavelets with composite dilations", IEEE Trans. Image Process., 21(2) p. 550-561 (2012).
    [PDF file] [*]

  79. D. Labate and P. S. Negi, "3D discrete shearlet transform and video denoising", Wavelets XIV (San Diego, CA, 2011), SPIE Proc. 8138 (2011).
    [PDF file]

  80. G. R. Easley, D. Labate and V. Patel, "Multi-composite wavelet estimations", Wavelets XIV (San Diego, CA, 2011), SPIE Proc. 8138 (2011).
    [PDF file]

  81. R. Azencott, B. Bodmann, D. Labate, A. Sen, K. Li, X. Zhou, "Searchlight CT: A new reconstruction method for collimated X-ray tomography", Proceedings of NCMIP 2011.
    [PDF file]

  82. K. Guo, and D. Labate, "Optimally sparse shearlet approximations of 3D data", Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX (Orlando, FL, 2011), SPIE Proc. 8058 (2011).
    [PDF file]

  83. K. Guo, and D. Labate, "Analysis and detection of surface discontinuities using the 3D continuous shearlet transform", Appl. Comput. Harmon. Anal., 30 p. 231-242 (2011).
    [PDF file] [*]

  84. G. Kutyniok, and D. Labate, "Shearlets. The first five years", Oberwolfach Report No. 44/2010 (2010).
    [PDF file]    (Complete Report of Mini-Workshop Shearlets: [PDF file])

  85. K. Guo, and D. Labate, "Optimally sparse 3D approximations using shearlet representations", Electronic Research Announcements in Mathematical Sciences, 17 p. 126-138 (2010).
    [PDF file] [*]

  86. F. Colonna, G. R. Easley, K. Guo, and D. Labate, "Radon transform inversion using the shearlet representation", Appl. Comput. Harmon. Anal., 29(2), p. 232-250 (2010).
    [PDF file] [*]

  87. G. R. Easley, and D. Labate, "Critically sampled composite wavelets", Proc. 43rd Asilomar Conf. on Signals, Systems and Computers, Monterey, November 2009.
    [PDF file]

  88. G. R. Easley, F. Colonna, and D. Labate, "Improved Radon based imaging using the shearlet transform", Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VII (Orlando, FL, 2009), SPIE Proc. 7343 (2009).
    [PDF file]

  89. G. Easley, K. Guo, and D. Labate, "Analysis of singularities and edge detection using the shearlet transform", Proceedings of SAMPTA`09, Marseille 2009.
    [PDF file]

  90. K. Guo, and D. Labate, "Characterization and analysis of edges using the continuous shearlet transform", SIAM on Imaging Sciences 2, p. 959-986 (2009).
    [PDF file] [*]

  91. D. Labate, and G. Weiss, "Continuous and discrete reproducing systems that arise from translations. Theory and applications of composite wavelets", pp. 48, in: Four Short Courses on Harmonic Analysis, Birkhauser (2009).
    [PDF file]

  92. S. Yi, D. Labate, G. R. Easley, and H. Krim, "A shearlet approach to edge analysis and detection", IEEE Trans. Image Process. 18 (5) pp. 929-941 (2009). [Awarded the IEEE Young Author Best Paper Award 2011 to S.Y.]
    [PDF file] [*]

  93. K. Guo, D. Labate and W. Lim, "Edge analysis and identification using the continuous shearlet transform", Appl. Comput. Harmon. Anal., 27(1) pp. 24-46 (2009).
    [PDF file] [*]

  94. G. R. Easley, D. Labate, and F. Colonna, "Shearlet based total variation for denoising", IEEE Trans. Image Process. 18 (2) pp. 260-268 (2009).
    [PDF file] [*]

  95. G. Kutyniok and D. Labate, "Resolution of the wavefront set using continuous shearlets", Trans. Amer. Math. Soc. 361 pp. 2719-2754 (2009).
    [PDF file] [*]

  96. S. Yi, D. Labate, G. R. Easley, and H. Krim, "Edge detection and processing using shearlets", Proceedings of the International Conference on Image Processing, ICIP 2008, October 12-15, 2008, San Diego, California, USA, IEEE, pp. 1148-1151 (2008)
    [PDF file]

  97. G. Easley, D. Labate and W. Lim, "Sparse directional image representations using the discrete shearlet transform", Appl. Comput. Harmon. Anal. 25 pp. 25-46, (2008).
    [PDF file] [*]

  98. K. Guo and D. Labate, "Representation of Fourier Integral Operators using shearlets", J. Fourier Anal. Appl. 14 pp. 327-371, (2008).
    [PDF file] [*]

  99. K. Guo and D. Labate, "Sparse shearlet representation of Fourier integral operators", Electr. Res. Announc. (ERA-MS), 14 pp. 7-19 (2007).
    [PDF file] [*]

  100. G. Kutyniok and D. Labate, "Construction of regular and irregular shearlet frames", J. Wavelet Theory Appl., 1 pp. 1-10 (2007).
    [PDF file] [*]

  101. K. Guo and D. Labate, "Optimally sparse multidimensional representation using shearlets", SIAM J Math. Anal., 39 pp. 298-318 (2007).
    [PDF file] [*]

  102. G. Easley, D. Labate and W. Lim, "Optimally sparse image representations using shearlets", Proc. 40th Asilomar Conf. on Signals, Systems and Computers, Monterey (2006).
    [PDF file]

  103. G. Kutyniok, and D. Labate, "The Theory of Reproducing systems on locally compact Abelian groups", Colloq. Mat., 106 , pp. 197-220 (2006).
    [ PDF file] [*]

  104. K. Guo and D. Labate, "Some remarks on the unified characterization of reproducing systems", Collectanea Math., 57 , pp. 279-293 (2006).
    [PDF file] [*]

  105. K. Guo, D. Labate, W. Lim, G. Weiss, and E. Wilson, "Wavelets with composite dilations and their MRA properties", Appl. Comput. Harmon. Anal., 20 , pp. 231-249 (2006).
    [PDF file] [*]

  106. K. Guo, D. Labate, W. Lim, G. Weiss, and E. Wilson, "The theory of wavelets with composite dilations", in: Harmonic Analysis and Applications, C.~Heil (ed.), pp. 231-249, Birkauser, 2006.
    [PDF file]

  107. K. Guo, G. Kutyniok, and D. Labate, "Sparse multidimensional representations using anisotropic dilation and shear operators", in: Wavelets and Splines: Athens 2005 (Proceedings of the International Conference on the Interactions between Wavelets and Splines. Athens, GA, May 16-19, 2005), G. Chen and M. Lai (eds.)
    [ PDF file]

  108. D. Labate, W. Lim, G. Kutyniok and G. Weiss, and "Sparse multidimensional representation using shearlets", Wavelets XI (San Diego, CA, 2005), 254-262, SPIE Proc. 5914 , SPIE, Bellingham, WA, 2005.
    [PDF file]

  109. D. Labate, and G. Weiss, "Wavelets associated with composite dilations", in: Matematicas: investigacion y educacion. Un homenaje a Miguel de Guzman. Universidad Complutense de Madrid, Ed.Anaya, Madrid, 2005.
    [PDF file]

  110. D. Labate, and E. Wilson, "Connectivity in the set of Gabor frames", Appl. Comput. Harmon. Anal., 18 , pp. 123-136 (2005).
    [PDF file] [*]

  111. K. Guo, D. Labate, W. Lim, G. Weiss, and E. Wilson, "Wavelets with composite dilations", Electr. Res. Ann. AMS, 10 , pp.78-87 (2004).
    [PDF file] [*]

  112. D. Labate, G. Weiss and E. Wilson, "An approach to the study of wave packet systems", Contemp. Mathematics, Wavelets, Frames and Operator Theory, 345 , pp.215-235 (2004).
    [PDF file]

  113. E. Hernandez, D. Labate, G. Weiss and E. Wilson, "Oversampling, quasi-affine frames and wave packets", Appl. Comput. Harmon. Anal. 16 , pp.111-147 (2004).
    [PDF file] [*]

  114. P. Gressman, D. Labate, G. Weiss and E.N. Wilson, "Affine, quasi-affine and co-affine wavelets", in: Beyond Wavelets, edited by G.W. Welland, Studies in Computational Mathematics, Volume 10, Elsevier, pp.215-224, 2003.
    [PDF file]

  115. E. Hernandez, D. Labate and G. Weiss, "A unified characterization of reproducing systems generated by a finite family, II", J. Geometric Analysis 12(4), pp.615-662 (2002).
    [PDF file] [*]

  116. D. Labate, "A unified characterization of reproducing systems generated by a finite family", J. Geometric Analysis 12(3) , pp.469-491 (2002).
    [PDF file] [*]

  117. D. Labate, "Pseudodifferential operators on modulation spaces", Journal of Mathematical Analysis and Applications 262, pp.242-255 (2001).
    [PDF file] [*]

  118. D. Labate, "Time-frequency analysis of pseudodifferential operators", Monatshefte fur Mathematik , 133, pp.143-156 (2001).
    [PDF file] [*]

  119. G.Vecchi, D.Labate, F.G.Canavero, "Fractal approach to lightning radiation on a tortuous channel", Radio Science, 29(4), 691-704 (1994).
    [PDF file] [*]

  120. D.Labate, F.G.Canavero, A.De Marchi, "A comparison of fractal dimension and spectrum coefficient", Metrologia, 31, pp.51-53 (1994)
    [PDF file] [*]

  121. G.Vecchi, F.G.Canavero, D.Labate, "Fractal modeling of high-frequency noise due to lightning", in: Proceedings X RiNEm, Cesena, Italy, September 21-23, 1994.

  122. B.Dilecce, L.Isnardi, D.Labate, F.G.Canavero, "Exact Spice model of field coupling to multiconductor transmission lines", in: Proceedings Int. Symp. EMC 1994, Sendai, Japan, May 16-20, 1994, pp.12-15.

  123. G.Vecchi, D.Labate, F.G.Canavero, "Fractal determination of parameters in lightning and ESD model" in: Proceedings of the 1992 International Aerospace and Ground Conference on Lightning and Static Electricity, Atlantic City, N.J., USA, October 6-8, 1992.



My research is/was supported by the National Science Foundation (grants DMS 1720487 and 1720452DMS [2017-2022], 1320910 [2013-2016], DMS 1008900 [2010-2014], DMS-Career 0746778 [2008-2014], DMS 0604561 [2006-2010]), the GEAR program (grant 1HOU09 [2012-2013]), the Simon Foundation [2016-2018] the Norman Hackerman Advanced Research Program (grant 003652-0136-2009 [2010-2012]), the Army Research Office (grant W911NF-09-1-0564, [2009-2010])


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