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Alessandro Foi

Alessandro Foi

D-Index & Metrics

Computer Science

D-Index
39
Citations
21714
World Ranking
9466
National Ranking
79

Overview

Alessandro Foi is affiliated with Tampere University in Finland and specializes in research within the field of Engineering. Their research is particularly focused on several subfields including Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics and Optics, and Biomedical Engineering.

Their scholarly work spans a range of topics primarily related to imaging and signal processing technologies. Key topics covered by their research include:

  • Image and Signal Denoising Methods
  • Advanced Fiber Laser Technologies
  • Optical Network Technologies
  • Medical Imaging Techniques and Applications
  • Photonic Crystal and Fiber Optics
  • Advanced X-ray and CT Imaging
  • Advanced X-ray Imaging Techniques

Alessandro Foi has contributed to multiple publications, including work published in venues like Zenodo (CERN European Organization for Nuclear Research), Journal of Synchrotron Radiation, Proceedings of the International Society for Magnetic Resonance in Medicine Scientific Meeting and Exhibition, Nature Machine Intelligence, and IEEE Transactions on Image Processing.

Their recent papers include:

  • Predicting ultrafast nonlinear dynamics in fibre optics with a recurrent neural network, 2021, Nature Machine Intelligence
  • Collaborative Filtering of Correlated Noise: Exact Transform-Domain Variance for Improved Shrinkage and Patch Matching, 2020, IEEE Transactions on Image Processing
  • Feed-forward neural network as nonlinear dynamics integrator for supercontinuum generation, 2022, Optics Letters
  • Mimicking Barkhausen noise measurement by in-situ transmission electron microscopy - effect of microstructural steel features on Barkhausen noise, 2021, Acta Materialia
  • Ring artifact and Poisson noise attenuation via volumetric multiscale nonlocal collaborative filtering of spatially correlated noise, 2022, Journal of Synchrotron Radiation

Frequent co-authors who have collaborated with Alessandro Foi include:

  • Goëry Genty
  • Lauri Salmela
  • John M. Dudley
  • Ymir Mäkinen
  • Nikolaos Tsipinakis

Best Publications

  • Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering

    Kostadin Dabov;Alessandro Foi;Vladimir Katkovnik;Karen Egiazarian

  • Nonlocal Transform-Domain Filter for Volumetric Data Denoising and Reconstruction

    M. Maggioni;V. Katkovnik;K. Egiazarian;A. Foi

  • Practical Poissonian-Gaussian Noise Modeling and Fitting for Single-Image Raw-Data

    A. Foi;M. Trimeche;V. Katkovnik;K. Egiazarian

  • Image denoising with block-matching and 3D filtering

    Kostadin Dabov;Alessandro Foi;Vladimir Katkovnik;Karen Egiazarian

  • Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images

    A. Foi;V. Katkovnik;K. Egiazarian

  • Video denoising by sparse 3D transform-domain collaborative filtering

    Kostadin Dabov;Alessandro Foi;Karen Egiazarian

  • BM3D Image Denoising with Shape-Adaptive Principal Component Analysis

    Kostadin Dabov;Alessandro Foi;Vladimir Katkovnik;Karen Egiazarian

  • Color Image Denoising via Sparse 3D Collaborative Filtering with Grouping Constraint in Luminance-Chrominance Space

    K. Dabov;A. Foi;V. Katkovnik;K. Egiazarian

  • From Local Kernel to Nonlocal Multiple-Model Image Denoising

    Vladimir Katkovnik;Alessandro Foi;Karen Egiazarian;Jaakko Astola

  • Image restoration by sparse 3D transform-domain collaborative filtering

    Kostadin Dabov;Alessandro Foi;Vladimir Katkovnik;Karen O. Egiazarian

  • Video Denoising, Deblocking, and Enhancement Through Separable 4-D Nonlocal Spatiotemporal Transforms

    Matteo Maggioni;Giacomo Boracchi;Alessandro Foi;Karen Egiazarian

  • Optimal Inversion of the Anscombe Transformation in Low-Count Poisson Image Denoising

    M Makitalo;A Foi

  • Optimal Inversion of the Generalized Anscombe Transformation for Poisson-Gaussian Noise

    M. Makitalo;A. Foi

  • Predicting ultrafast nonlinear dynamics in fibre optics with a recurrent neural network

    Lauri Salmela;Nikolaos Tsipinakis;Alessandro Foi;Cyril Billet

  • Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge

    Sylvia Rueda;Sana Fathima;Caroline L. Knight;Mohammad Yaqub

  • Compressed Sensing Image Reconstruction Via Recursive Spatially Adaptive Filtering

    K. Egiazarian;A. Foi;V. Katkovnik

  • Noise estimation and removal in MR imaging: The variance-stabilization approach

    Alessandro Foi

  • Modeling the Performance of Image Restoration From Motion Blur

    G. Boracchi;A. Foi

  • Collaborative Filtering of Correlated Noise: Exact Transform-Domain Variance for Improved Shrinkage and Patch Matching

    Ymir Makinen;Lucio Azzari;Alessandro Foi

  • Clipped noisy images: Heteroskedastic modeling and practical denoising

    Alessandro Foi

  • Variance Stabilization for Noisy+Estimate Combination in Iterative Poisson Denoising

    Lucio Azzari;Alessandro Foi

Frequent Co-Authors

Karen O. Egiazarian
Karen O. Egiazarian Tampere University
Vladimir Katkovnik
Vladimir Katkovnik Tampere University
Jaakko Astola
Jaakko Astola Tampere University
Brendt Wohlberg
Brendt Wohlberg Los Alamos National Laboratory
Vladimir V. Lukin
Vladimir V. Lukin National Aerospace University – Kharkiv Aviation Institute
Jussi Tohka
Jussi Tohka University of Eastern Finland
Thrasyvoulos N. Pappas
Thrasyvoulos N. Pappas Northwestern University
J. Alison Noble
J. Alison Noble University of Oxford
Changming Sun
Changming Sun Commonwealth Scientific and Industrial Research Organisation
Mikhail S. Gelfand
Mikhail S. Gelfand Skolkovo Institute of Science and Technology

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