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Computer Science

D-Index
31
Citations
7600
World Ranking
13376
National Ranking
5356

Overview

Demetrio Labate is affiliated with the University of Houston in the United States. Their research spans multiple fields including Engineering, Computer Science, and Biochemistry, Genetics and Molecular Biology, with a significant focus on subfields such as Computer Vision and Pattern Recognition, Molecular Biology, Computational Mechanics, Biophysics, and Astronomy and Astrophysics.

The main topics covered in their work include Cell Image Analysis Techniques, Single-cell and Spatial Transcriptomics, Image and Signal Denoising Methods, Neuroinflammation and Neurodegeneration Mechanisms, Sparse and Compressive Sensing Techniques, Advanced Numerical Analysis Techniques, and Astro and Planetary Science.

Frequent co-authors in their research include Michela Marini, Kazem Safari, Cihan Bilge Kayasandık, Tatiana A. Bubba, and Tommi Heikkilä.

Demetrio Labate has published papers in various venues, often contributing to:

  • arXiv (Cornell University)
  • Scientific Reports
  • SSRN Electronic Journal
  • Acta Astronautica
  • IEEE Geoscience and Remote Sensing Letters

Some notable recent publications include:

  • A Multiscale Deep Learning Approach for High-Resolution Hyperspectral Image Classification, 2020, IEEE Geoscience and Remote Sensing Letters
  • LUMIO: A CubeSat for observing and characterizing micro-meteoroid impacts on the Lunar far side, 2022, Acta Astronautica
  • A multistep deep learning framework for the automated detection and segmentation of astrocytes in fluorescent images of brain tissue, 2020, Scientific Reports
  • High throughput microscopy and single cell phenotypic image-based analysis in toxicology and drug discovery, 2023, Biochemical Pharmacology
  • Meteoroids detection with the LUMIO lunar CubeSat, 2022, Icarus

Best Publications

  • Sparse directional image representations using the discrete shearlet transform

    Glenn Easley;Demetrio Labate;Wang-Q Lim

  • OPTIMALLY SPARSE MULTIDIMENSIONAL REPRESENTATION USING SHEARLETS

    Kanghui Guo;Demetrio Labate

  • Sparse multidimensional representation using shearlets

    Demetrio Labate;Wang-Q. Lim;Gitta Kutyniok;Guido Weiss

  • A Shearlet Approach to Edge Analysis and Detection

    Sheng Yi;D. Labate;G.R. Easley;H. Krim

  • Shearlets: Multiscale Analysis for Multivariate Data

    Gitta Kutyniok;Demetrio Labate

  • Resolution of the wavefront set using continuous shearlets

    Gitta Kutyniok;Demetrio Labate

  • Wavelets with composite dilations and their MRA properties

    Kanghui Guo;Demetrio Labate;Wang-Q Lim;Guido Weiss

  • Shearlet-Based Total Variation Diffusion for Denoising

    G.R. Easley;D. Labate;F. Colonna

  • A unified characterization of reproducing systems generated by a finite family, II

    Eugenio Hernández;Demetrio Labate;Guido Weiss

  • Edge analysis and identification using the continuous shearlet transform

    Kanghui Guo;Demetrio Labate;Wang Q. Lim

  • Wavelets with composite dilations

    Kanghui Guo;Demetrio Labate;Wang Q. Lim;Guido Weiss

  • Introduction to Shearlets

    Gitta Kutyniok;Demetrio Labate

  • Characterization and Analysis of Edges Using the Continuous Shearlet Transform

    Kanghui Guo;Demetrio Labate

  • A unified characterization of reproducing systems generated by a finite family

    Unknown

  • The Construction of Smooth Parseval Frames of Shearlets

    Kanghui Guo;D. Labate

  • 3-D Discrete Shearlet Transform and Video Processing

    P. S. Negi;D. Labate

  • Radon Transform Inversion using the Shearlet Representation

    Flavia Colonna;Glenn Easley;Kanghui Guo;Demetrio Labate

  • Pseudodifferential Operators on Modulation Spaces

    Demetrio Labate

  • Oversampling, quasi-affine frames, and wave packets

    Eugenio Hernández;Demetrio Labate;Guido Weiss;Edward Wilson

  • Representation of Fourier Integral Operators Using Shearlets

    Kanghui Guo;Demetrio Labate

  • The Theory of Wavelets with Composite Dilations

    Kanghui Guo;Demetrio Labate;Wang-Q Lim;Guido Weiss

Frequent Co-Authors

Gitta Kutyniok
Gitta Kutyniok Ludwig-Maximilians-Universität München
Saurabh Prasad
Saurabh Prasad University of Houston
Vishal M. Patel
Vishal M. Patel Johns Hopkins University
Ioannis A. Kakadiaris
Ioannis A. Kakadiaris University of Houston
Hamid Krim
Hamid Krim North Carolina State University
Rama Chellappa
Rama Chellappa Johns Hopkins University
Flavio Canavero
Flavio Canavero Polytechnic University of Turin
Xiaobo Zhou
Xiaobo Zhou The University of Texas Health Science Center at Houston
Thomas A. Green
Thomas A. Green The University of Texas Medical Branch at Galveston
Filippo Tempia
Filippo Tempia University of Turin

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