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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
41
Citations
7468
World Ranking
4271
National Ranking
75

Overview

José Rodellar is affiliated with the Universitat Politècnica de Catalunya in Spain. Their research primarily focuses on areas within computer science and medicine, with a significant emphasis on digital imaging and artificial intelligence applications related to blood diseases.

Their recent work includes publications in various scientific journals. Notable papers by José Rodellar are:

  • "A dataset of microscopic peripheral blood cell images for development of automatic recognition systems," 2020, Data in Brief
  • "A deep learning model (ALNet) for the diagnosis of acute leukaemia lineage using peripheral blood cell images," 2021, Computer Methods and Programs in Biomedicine
  • "A Deep Learning Approach for Segmentation of Red Blood Cell Images and Malaria Detection," 2020, Entropy
  • "Automatic identification of malaria and other red blood cell inclusions using convolutional neural networks," 2021, Computers in Biology and Medicine
  • "Automatic generation of artificial images of leukocytes and leukemic cells using generative adversarial networks (syntheticcellgan)," 2022, Computer Methods and Programs in Biomedicine

José Rodellar has collaborated frequently with other researchers. Their most common coauthors include:

  • Anna Merino
  • Ángel Molina
  • Santiago Alférez
  • Laura Boldú
  • Andrea Acevedo

Their work is published predominantly in these venues:

  • Computer Methods and Programs in Biomedicine
  • Computers in Biology and Medicine
  • Journal of Clinical Pathology
  • Ciencia Latina Revista Científica Multidisciplinar
  • Data in Brief

José Rodellar's main fields of study include computer science, with 17 publications, and medicine, with 10 publications. Their research branches into specialized subfields such as computer vision and pattern recognition, artificial intelligence, biophysics, radiology, nuclear medicine and imaging, as well as infectious diseases.

Their primary research topics are:

  • Digital Imaging for Blood Diseases
  • AI in cancer detection
  • Cell Image Analysis Techniques
  • COVID-19 diagnosis using AI
  • Image Processing Techniques and Applications
  • Viral Infections and Vectors
  • Neonatal and Maternal Infections

Best Publications

  • The Hysteresis Bouc-Wen Model, a Survey

    Mohammed Ismail;Fayçal Ikhouane;José Rodellar

  • Systems with Hysteresis: Analysis, Identification and Control Using the Bouc-Wen Model

    Faycal Ikhouane;José Rodellar

  • Dynamic properties of the hysteretic Bouc-Wen model ☆

    Fayçal Ikhouane;Víctor Mañosa;José Rodellar

  • Adaptive Predictive Control: From the Concepts to Plant Optimization

    Juan Manuel Martâin Sâanchez;Jose Rodellar

  • Active and semi-active control of structures – theory and applications: A review of recent advances:

    Fabio Casciati;José Rodellar;Umut Yildirim

  • ON THE HYSTERETIC BOUC–WEN MODEL. PART I: FORCED LIMIT CYCLE CHARACTERIZATION

    Fayçal Ikhouane;José Rodellar

  • On the Hysteretic Bouc–Wen Model

    Fayçal Ikhouane;José Rodellar

  • Adaptive control of a hysteretic structural system

    FayçAl Ikhouane;VíCtor MañOsa;José Rodellar

  • Damage classification in structural health monitoring using principal component analysis and self-organizing maps

    D. A. Tibaduiza;L. E. Mujica;J. Rodellar

  • Predictive control method for decentralized operation of irrigation canals

    Manuel Gómez;José Rodellar;Juan A. Mantecón

  • A European Association for the Control of Structures joint perspective. Recent studies in civil structural control across Europe

    Biswajit Basu;Oreste S. Bursi;Fabio Casciati;Sara Casciati

  • Variation of the Hysteresis Loop with the Bouc–Wen Model Parameters

    Fayçal Ikhouane;Jorge E. Hurtado;José Rodellar

  • An innovative isolation device for aseismic design

    M. Ismail;J. Rodellar;F. Ikhouane

  • Predictive Control of Structures

    José Rodellar;Alex H. Barbat;Juan M. Martín‐Sánchez

  • Wind turbine fault detection and classification by means of image texture analysis

    Magda Ruiz;Luis E. Mujica;Santiago Alférez;Leonardo Acho

  • Active Control of Nonlinear Base-Isolated Buildings

    Alex Barbat;J. Rodellar;E. P. Ryan;N. Molinares

  • A study of two unsupervised data driven statistical methodologies for detecting and classifying damages in structural health monitoring

    D.-A. Tibaduiza;M.-A. Torres-Arredondo;L.E. Mujica;J. Rodellar

  • Structural damage detection using principal component analysis and damage indices

    Diego A Tibaduiza;Luis E Mujica;José Rodellar;Alfredo Güemes

  • Hierarchical semi-active control of base-isolated structures using a new inverse model of magnetorheological dampers

    Arash Bahar;Francesc Pozo;Leonardo Acho;José Rodellar

  • ROBUST STABILIZATION OF A CLASS OF UNCERTAIN TIME DELAY SYSTEMS IN SLIDING MODE

    Ningsu Luo;Manuel De La Sen;José Rodellar

  • EXPERIMENTAL DIGITAL CONTROL OF STRUCTURES

    J. Rodellar;L. L. Chung;T. T. Soong;A. M. Reinhorn

Frequent Co-Authors

Vicenç Puig
Vicenç Puig Universitat Politècnica de Catalunya
Hamid Reza Karimi
Hamid Reza Karimi Polytechnic University of Milan
George Leitmann
George Leitmann University of California, Berkeley
Lieven Vandevelde
Lieven Vandevelde Ghent University

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