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Mário A. T. Figueiredo

Mário A. T. Figueiredo

Award Badge
Computer Science
Portugal
2026

D-Index & Metrics

Computer Science

D-Index
68
Citations
34098
World Ranking
2026
National Ranking
4

Research.com Recognitions

  • 2026 - Research.com Computer Science in Portugal Leader Award
  • 2025 - Research.com Computer Science in Portugal Leader Award
  • 2023 - Research.com Computer Science in Portugal Leader Award
  • 2022 - Research.com Computer Science in Portugal Leader Award
  • 2010 - IEEE Fellow For contributions to pattern recognition and computer vision
  • 2008 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to unsupervised and supervised learning, image analysis, and wavelet-based image restoration.

Overview

Mário A. T. Figueiredo is affiliated with Instituto Superior Técnico in Portugal and has research contributions primarily in the field of Computer Science, with a specific focus on Artificial Intelligence. Their work spans multiple subfields including Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Computer Networks and Communications, and Electrical and Electronic Engineering.

Their research covers a diverse range of topics, notably Radiomics and Machine Learning in Medical Imaging, Distributed Sensor Networks and Detection Algorithms, Explainable Artificial Intelligence (XAI), Generative Adversarial Networks and Image Synthesis, Ethics and Social Impacts of AI, MRI in cancer diagnosis, and Anomaly Detection Techniques and Applications.

Frequent collaborators include João Santinha, Pedro Saleiro, Pedro Bizarro, Nuno Loução, and André F. T. Martins.

They have published extensively in various scientific venues. The most frequent publication outlets include arXiv (Cornell University) with 28 publications, Preprints.org with 3, Entropy with 2, Journal of Medical Imaging with 2, and Remote Sensing with 2 publications.

Recent published papers include:

  • The use of machine learning methods to estimate aboveground biomass of grasslands: A review, 2021, Ecological Indicators
  • Imputation of data Missing Not at Random: Artificial generation and benchmark analysis, 2024, Expert Systems with Applications
  • A multicenter study on radiomic features from T2-weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics, 2020, Magnetic Resonance in Medicine
  • Block-Gaussian-Mixture Priors for Hyperspectral Denoising and Inpainting, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Human-AI Collaboration in Decision-Making: Beyond Learning to Defer, 2022, arXiv (Cornell University)

Mário A. T. Figueiredo has received recognition through awards including the IEEE Fellow distinction in 2010 for contributions to pattern recognition and computer vision, and becoming a Fellow of the International Association for Pattern Recognition (IAPR) in 2008 for contributions to unsupervised and supervised learning, image analysis, and wavelet-based image restoration.

Best Publications

  • Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems

    M.A.T. Figueiredo;R.D. Nowak;S.J. Wright

  • Unsupervised learning of finite mixture models

    M.A.T. Figueiredo;A.K. Jain

  • Sparse Reconstruction by Separable Approximation

    S.J. Wright;R.D. Nowak;M.A.T. Figueiredo

  • A New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration

    J.M. Bioucas-Dias;M.A.T. Figueiredo

  • An EM algorithm for wavelet-based image restoration

    M.A.T. Figueiredo;R.D. Nowak

  • Fast Image Recovery Using Variable Splitting and Constrained Optimization

    Manya V Afonso;José M Bioucas-Dias;Mário A T Figueiredo

  • An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems

    M V Afonso;José M Bioucas-Dias;Mário A T Figueiredo

  • Image classification for content-based indexing

    A. Vailaya;M.A.T. Figueiredo;A.K. Jain;Hong-Jiang Zhang

  • Sparse multinomial logistic regression: fast algorithms and generalization bounds

    B. Krishnapuram;L. Carin;M.A.T. Figueiredo;A.J. Hartemink

  • On the Role of Sparse and Redundant Representations in Image Processing

    Michael Elad;Mario A T Figueiredo;Yi Ma

  • Simultaneous feature selection and clustering using mixture models

    M.H.C. Law;M.A.T. Figueiredo;A.K. Jain

  • Adaptive sparseness for supervised learning

    M.A.T. Figueiredo

  • Alternating direction algorithms for constrained sparse regression: Application to hyperspectral unmixing

    Jose M. Bioucas-Dias;Mario A. T. Figueiredo

  • Majorization–Minimization Algorithms for Wavelet-Based Image Restoration

    M.A.T. Figueiredo;J.M. Bioucas-Dias;R.D. Nowak

  • Restoration of Poissonian Images Using Alternating Direction Optimization

    M A T Figueiredo;J M Bioucas-Dias

  • Review: Adaptive total variation image deblurring: A majorization-minimization approach

    João P. Oliveira;José M. Bioucas-Dias;Mário A. T. Figueiredo

  • Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization

    José M Bioucas-Dias;Mário A T Figueiredo

  • Wavelet-based image estimation: an empirical Bayes approach using Jeffrey's noninformative prior

    M.A.T. Figueiredo;R.D. Nowak

  • Boosting Algorithms: A Review of Methods, Theory, and Applications

    Artur Jorge Ferreira;Mário A. T. Figueiredo

  • Total Variation-Based Image Deconvolution: a Majorization-Minimization Approach

    J.M. Bioucas-Dias;M.A.T. Figueiredo;J.P. Oliveira

  • Content-based hierarchical classification of vacation images

    A. Vailaya;M. Figueiredo;A. Jain;Hong Jiang Zhang

Frequent Co-Authors

Jose M. Bioucas-Dias
Jose M. Bioucas-Dias Instituto Superior Técnico
Robert Nowak
Robert Nowak University of Wisconsin–Madison
Jorge S. Marques
Jorge S. Marques Instituto Superior Técnico
André F. T. Martins
André F. T. Martins Instituto Superior Técnico
Anil K. Jain
Anil K. Jain Michigan State University
Noah A. Smith
Noah A. Smith University of Washington
Vittorio Murino
Vittorio Murino University of Verona
Eric P. Xing
Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence
Arlindo L. Oliveira
Arlindo L. Oliveira University of Lisbon
Tom Goldstein
Tom Goldstein University of Maryland, College Park

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