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Arlindo L. Oliveira

Arlindo L. Oliveira

D-Index & Metrics

Computer Science

D-Index
39
Citations
10029
World Ranking
9555
National Ranking
23

Overview

Arlindo L. Oliveira is affiliated with the University of Lisbon in Portugal and has a research focus spanning Computer Science and Medicine. Their work contributes notably to the subfields of Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cognitive Neuroscience, and Epidemiology.

Their principal areas of research topics include Cardiac Imaging and Diagnostics, Coronary Interventions and Diagnostics, Reinforcement Learning in Robotics, Acute Ischemic Stroke Management, Advanced X-ray and CT Imaging, Cerebrovascular and Carotid Artery Diseases, and Neural Dynamics and Brain Function.

Recent publications by Oliveira cover a range of topics primarily related to medical imaging and artificial intelligence applications in medicine:

  • Artificial intelligence-based diagnosis of acute pulmonary embolism: Development of a machine learning model using 12-lead electrocardiogram, 2023, Revista Portuguesa de Cardiologia
  • Graph Neural Networks for Traffic Forecasting, 2020, OMAINTEC journal.
  • Coronary X-ray angiography segmentation using Artificial Intelligence: a multicentric validation study of a deep learning model, 2023, The International Journal of Cardiovascular Imaging
  • Development of deep learning segmentation models for coronary X-ray angiography: Quality assessment by a new global segmentation score and comparison with human performance, 2022, Revista Portuguesa de Cardiologia
  • Learning the dynamics of realistic models of C. elegans nervous system with recurrent neural networks, 2023, Scientific Reports

Frequent collaborators in Oliveira's research include Miguel Nobre Menezes, Fausto J. Pinto, João Lourenço Silva, Tiago Rodrigues, and Ruxandra Bărbulescu, reflecting ongoing joint work across multiple publications.

Oliveira's research is published in various academic venues, notably:

  • arXiv (Cornell University)
  • Revista Portuguesa de Cardiologia
  • The International Journal of Cardiovascular Imaging
  • OMAINTEC journal.
  • Scientific Reports

Their scholarly output extends to book publications as well, including a contribution to the 2023 Springer International Publishing volume titled Multidisciplinary Perspectives on Artificial Intelligence and the Law.

Best Publications

  • Biclustering Algorithms for Biological Data Analysis: A Survey

    Sara C. Madeira;Arlindo L. Oliveira

  • Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

    Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer

  • The YEASTRACT database: a tool for the analysis of transcription regulatory associations in Saccharomyces cerevisiae

    Miguel C. Teixeira;Pedro T. Monteiro;Pooja Jain;Sandra Tenreiro

  • Temporal Data Mining: an overview

    Cláudia M. Antunes;Arlindo L. Oliveira

  • The YEASTRACT database: an upgraded information system for the analysis of gene and genomic transcription regulation in Saccharomyces cerevisiae

    Miguel Cacho Teixeira;Pedro Tiago Monteiro;Joana Fernandes Guerreiro;Joana Pinho Gonçalves

  • YEASTRACT: providing a programmatic access to curated transcriptional regulatory associations in Saccharomyces cerevisiae through a web services interface

    Dário Abdulrehman;Pedro Tiago Monteiro;Miguel Cacho Teixeira;Nuno Pereira Mira

  • YEASTRACT-DISCOVERER: new tools to improve the analysis of transcriptional regulatory associations in Saccharomyces cerevisiae

    Pedro T. Monteiro;Nuno D. Mendes;Miguel C. Teixeira;Sofia d’Orey

  • Techniques for the creation of digital watermarks in sequential circuit designs

    A.L. Oliveira

  • ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI.

    Stefan Winzeck;Arsany Hakim;Richard McKinley;José A. A. D. S. R. Pinto

  • Identification of Regulatory Modules in Time Series Gene Expression Data Using a Linear Time Biclustering Algorithm

    Sara C. Madeira;Miguel C. Teixeira;Isabel Sa-Correia;Arlindo L. Oliveira

  • Biotechnology, Big Data and Artificial Intelligence.

    Arlindo L Oliveira

  • Using Machine Learning to Improve the Prediction of Functional Outcome in Ischemic Stroke Patients

    Miguel Monteiro;Ana Catarina Fonseca;Ana Teresa Freitas;Teresa Pinho e Melo

  • Generalization of pattern-growth methods for sequential pattern mining with gap constraints

    Cláudia Antunes;Arlindo L. Oliveira

  • Finite state machine decomposition for low power

    José C. Monteiro;Arlindo L. Oliveira

  • An Empirical Comparison of Text Categorization Methods

    Ana Cardoso-Cachopo;Ana Cardoso-Cachopo;Arlindo L. Oliveira;Arlindo L. Oliveira

  • Robust techniques for watermarking sequential circuit designs

    Arlindo L. Oliveira

  • BiGGEsTS: integrated environment for biclustering analysis of time series gene expression data

    Joana P Gonçalves;Joana P Gonçalves;Joana P Gonçalves;Sara C Madeira;Sara C Madeira;Sara C Madeira;Arlindo L Oliveira;Arlindo L Oliveira

  • A new algorithm for the reduction of incompletely specified finite state machines

    Jorge M. Pena;Arlindo L. Oliveira

  • Prime implicant computation using satisfiability algorithms

    V.M. Manquinho;P.F. Flores;J.P.M. Silva;A.L. Oliveira

  • The bio.tools registry of software tools and data resources for the life sciences.

    Jon Ison;Hans Ienasescu;Piotr Jaroslaw Chmura;Emil Karol Rydza

  • A polynomial time biclustering algorithm for finding approximate expression patterns in gene expression time series

    Sara C Madeira;Sara C Madeira;Arlindo L Oliveira

  • Fully compressed suffix trees

    Luís M. S. Russo;Gonzalo Navarro;Arlindo L. Oliveira

Frequent Co-Authors

Isabel Sá-Correia
Isabel Sá-Correia Instituto Superior Técnico
Joao Marques-Silva
Joao Marques-Silva Institució Catalana de Recerca i Estudis Avançats
Mário A. T. Figueiredo
Mário A. T. Figueiredo Instituto Superior Técnico
Alberto Sangiovanni-Vincentelli
Alberto Sangiovanni-Vincentelli University of California, Berkeley
Marie-France Sagot
Marie-France Sagot Claude Bernard University Lyon 1
gonzalo navarro
gonzalo navarro University of Chile
Tom Vercauteren
Tom Vercauteren King's College London
Koen Van Leemput
Koen Van Leemput Harvard University
Ricardo Baeza-Yates
Ricardo Baeza-Yates Royal Institute of Technology
Jayashree Kalpathy-Cramer
Jayashree Kalpathy-Cramer Harvard University

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