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Jordi Freixenet

Jordi Freixenet

Overview

Jordi Freixenet is affiliated with the University of Girona in Spain. Their research largely centers on the field of medicine, with a focus on subfields such as epidemiology, neurology, computer vision and pattern recognition, computer science applications, and developmental and educational psychology.

Their work spans multiple interconnected topics, including:

  • Acute Ischemic Stroke Management
  • Brain Tumor Detection and Classification
  • Advanced Neural Network Applications
  • Teaching and Learning Programming
  • Educational Games and Gamification
  • Digital Games and Media
  • Cardiovascular Conditions and Treatments

Freixenet's recent papers illustrate the application of machine learning, image analysis, and educational technology within medical and computational domains. Notable publications include:

  • "Acute and sub-acute stroke lesion segmentation from multimodal MRI," 2020, published in Computer Methods and Programs in Biomedicine
  • "Encouraging early mastery of computational concepts through play," 2020, appearing on arXiv (Cornell University)
  • "TEACHING MEDICAL IMAGE ANALYSIS FROM AN INNOVATIVE PERSPECTIVE," 2025, published in EDULEARN proceedings
  • "Deep learning framework for vertebral heart size and cardiothoracic ratio estimation in dogs and cats using thoracic radiographs," 2025, published in Frontiers in Veterinary Science

Frequent collaborators in their research include Arnau Oliver, Xavier Lladó, Xavier Cufí, Robert Martí, and Albert Clèrigues.

The publication venues where Freixenet has contributed reflect a blend of biomedical engineering, computer science, veterinary science, and educational research. These venues are:

  • Computer Methods and Programs in Biomedicine
  • arXiv (Cornell University)
  • EDULEARN proceedings
  • Frontiers in Veterinary Science

Overall, Jordi Freixenet's academic work intersects medical image analysis, computational methods, and educational practices, emphasizing interdisciplinary approaches to both scientific challenges and teaching methodologies.

Best Publications

  • Yet Another Survey on Image Segmentation: Region and Boundary Information Integration

    Jordi Freixenet;Xavier Muñoz;D. Raba;Joan Martí

  • A review of atlas-based segmentation for magnetic resonance brain images

    Mariano Cabezas;Arnau Oliver;Xavier Lladó;Jordi Freixenet

  • A review of automatic mass detection and segmentation in mammographic images.

    Arnau Oliver;Jordi Freixenet;Joan Martí;Elsa Pérez

  • Computer-Aided Detection and diagnosis for prostate cancer based on mono and multi-parametric MRI

    Guillaume Lemaître;Robert Martí;Jordi Freixenet;Joan C. Vilanova

  • A Novel Breast Tissue Density Classification Methodology

    A. Oliver;J. Freixenet;R. Marti;J. Pont

  • Segmentation of multiple sclerosis lesions in brain MRI: A review of automated approaches

    Xavier Lladó;Arnau Oliver;Mariano Cabezas;Jordi Freixenet

  • Strategies for image segmentation combining region and boundary information

    X. Muñoz;J. Freixenet;X. Cufí;J. Martí

  • A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images

    Soumya Ghose;Arnau Oliver;Robert Martí;Xavier Lladó

  • False positive reduction in mammographic mass detection using local binary patterns

    Arnau Oliver;Xavier Lladó;Jordi Freixenet;Joan Martí

  • Automatic microcalcification and cluster detection for digital and digitised mammograms

    Arnau Oliver;Albert Torrent;Xavier Lladó;Meritxell Tortajada

  • A review on strategies for recognizing natural objects in colour images of outdoor scenes

    Joan Batlle;Alicia Casals;Jordi Freixenet;Joan Martí

  • A textural approach for mass false positive reduction in mammography.

    Xavier Lladó;Arnau Oliver;Jordi Freixenet;Robert Marti

  • Automated detection of multiple sclerosis lesions in serial brain MRI

    Xavier Lladó;Onur Ganiler;Arnau Oliver;Robert Martí

  • Acute ischemic stroke lesion core segmentation in CT perfusion images using fully convolutional neural networks.

    Albert Clèrigues;Sergi Valverde;Jose Bernal;Jordi Freixenet

  • Automatic classification of breast density

    A. Oliver;J. Freixenet;R. Zwiggelaar

  • A Statistical Approach for Breast Density Segmentation

    Arnau Oliver;Xavier Lladó;Elsa Pérez;Josep Pont

  • A review of image segmentation techniques integrating region and boundary information

    X. Cufí;X. Muñoz;J. Freixenet;J. Martí

  • A review of source detection approaches in astronomical images

    M. Masias;J. Freixenet;X. Lladó;M. Peracaula

  • Segmentation and description of natural outdoor scenes

    A. Bosch;X. Muñoz;J. Freixenet

  • A supervised learning framework of statistical shape and probability priors for automatic prostate segmentation in ultrasound images.

    Soumya Ghose;Arnau Oliver;Jhimli Mitra;Robert Marti

Frequent Co-Authors

Arnau Oliver
Arnau Oliver University of Girona
Xavier Lladó
Xavier Lladó University of Girona
Fabrice Meriaudeau
Fabrice Meriaudeau University of Franche-Comté
Rafael Garcia
Rafael Garcia Complutense University of Madrid
Marc Modat
Marc Modat King's College London

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