Browsing NOFIMA vitenarkiv by Author "Fabelo, Himar"

Now showing items 1-8 of 8

    • Blur-specific image quality assessment of microscopic hyperspectral images 

      Quintana, Laura; Ortega, Samuel; Fabelo, Himar; Balea-Fernández, Francisco J.; Callico, Gustavo M. (Peer reviewed; Journal article, 2023)
      Hyperspectral (HS) imaging (HSI) expands the number of channels captured within the electromagnetic spectrum with respect to regular imaging. Thus, microscopic HSI can improve cancer diagnosis by automatic classification ...

    • Deep Convolutional Generative Adversarial Networks to Enhance Artificial Intelligence in Healthcare: A Skin Cancer Application 

      La Salvia, Marco; Torti, Emanuele; Leon, Raquel; Fabelo, Himar; Ortega, Samuel; Martinez-Vega, Beatriz; Callico, Gustavo M.; Leporati, Francesco (Peer reviewed; Journal article, 2022)
      In recent years, researchers designed several artificial intelligence solutions for healthcare applications, which usually evolved into functional solutions for clinical practice. Furthermore, deep learning (DL) methods ...

    • Evaluation of Preprocessing Methods on Independent Medical Hyperspectral Databases to Improve Analysis 

      Martinez-Vega, Beatriz; Tkachenko, Mariia; Matkabi, Marianne; Ortega, Samuel; Fabelo, Himar; Balea-Fernandez, Francisco; La Salvia, Marco; Torti, Emanuele; Leporati, Francesco; Callico, Gustavo M.; Chalopin, Claire (Peer reviewed; Journal article, 2022)
      Currently, one of the most common causes of death worldwide is cancer. The development of innovative methods to support the early and accurate detection of cancers is required to increase the recovery rate of patients. ...

    • Histological Hyperspectral Glioblastoma Dataset (HistologyHSI-GB) 

      Ortega, Samuel; Quintana-Quintana, Laura; Leon, Raquel; Fabelo, Himar; de la Luz Plaza, María; Camacho, Rafael Conde; Callico, Gustavo M. (Peer reviewed; Journal article, 2024)
      Hyperspectral (HS) imaging (HSI) technology combines the main features of two existing technologies: imaging and spectroscopy. This allows to analyse simultaneously the morphological and chemical attributes of the objects ...

    • Hyperspectral imaging benchmark based on machine learning for intraoperative brain tumour detection 

      Leon, Raquel; Fabelo, Himar; Ortega, Samuel; Cruz-Guerrero, Ines A.; Campos-Delgado, Daniel Ulises; Szolna, Adam; Piñeiro, Juan F.; Espino, Carlos; O’Shanahan, Aruma J.; Hernandez, Maria; Carrera, David; Bisshopp, Sara; Sosa, Coralia; Balea-Fernandez, Francisco J.; Morera, Jesus; Clavo, Bernardino; Callico, Gustavo M. (Peer reviewed; Journal article, 2023)

    • Neural Networks-Based On-Site Dermatologic Diagnosis through Hyperspectral Epidermal Images 

      La Salvia, Marco; Torti, Emanuele; Leon, Raquel; Fabelo, Himar; Ortega, Samuel; Balea-Fernandez, Francisco; Martinez-Vega, Beatriz; Castaño, Irene; Almeida, Pablo; Carretero, Gregorio; Hernandez, Javier A.; Callico, Gustavo M.; Leporati, Francesco (Peer reviewed; Journal article, 2022)
      Cancer originates from the uncontrolled growth of healthy cells into a mass. Chromophores, such as hemoglobin and melanin, characterize skin spectral properties, allowing the classification of lesions into different ...

    • Towards Real-Time Hyperspectral Multi-Image Super-Resolution Reconstruction Applied to Histological Samples 

      Urbina Ortega, Carlos; Quevedo Gutiérrez, Eduardo; Quintana, Laura; Ortega, Samuel; Fabelo, Himar; Santos Falcón, Lucana; Marrero Callico, Gustavo (Peer reviewed; Journal article, 2023)

    • VNIR–NIR hyperspectral imaging fusion targeting intraoperative brain cancer detection 

      Leon, Raquel; Fabelo, Himar; Ortega, Samuel; Piñeiro, Juan F.; Szolna, Adam; Hernandez, Maria; Espino, Carlos; O'Shanahan, Aruma J.; Carrera, David; Bisshopp, Sara; Sosa, Coralia; Marquez, Mariano; Morera, Jesus; Clavo, Bernardino; Callico, Gustavo M. (Peer reviewed; Journal article, 2021)