• Biofluorescent response in lumpfish Cyclopterus lumpus to a therapeutic stressor as assessed by hyperspectral imaging 

      Juhasz-Dora, Thomas; Lindberg, Stein-Kato; Karlsen, Amanda Katrine; Ortega, Samuel (Peer reviewed; Journal article, 2024)
    • 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 ...
    • Characterization of vasskveite (water halibut) syndrome for automated detection 

      Ortega, Samuel; Ofstad, Ragni; Syed, Shaheen; Kranz, Mathias; Heia, Karsten; Anderssen, Kathryn Elizabeth (Peer reviewed; Journal article, 2023)
      In recent years, cases of vasskveite (water halibut) syndrome in halibut have been increasing. At the moment, there exists no way to screen for the syndrome immediately after capture, which is problematic for both exporters ...
    • 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 ...
    • Early identification of mushy Halibut syndrome with hyperspectral image analysis 

      Ortega, Samuel; Lindberg, Stein-Kato; Olsen, Stein Harris; Anderssen, Kathryn Elizabeth; Heia, Karsten (Peer reviewed; Journal article, 2023)
      Mushy Halibut Syndrome (MHS) is a condition that appears in Greenland halibut and manifests itself as abnormally opaque, flaccid and jelly-like flesh. Fish affected by this syndrome show poor meat quality, which results ...
    • Early identification of mushy Halibut syndrome with hyperspectral image analysis 

      Ortega, Samuel; Lindberg, Stein-Kato; Olsen, Stein Harris; Anderssen, Kathryn Elizabeth; Heia, Karsten (Journal article, 2023)
      Mushy Halibut Syndrome (MHS) is a condition that appears in Greenland halibut and manifests itself as abnormally opaque, flaccid and jelly-like flesh. Fish affected by this syndrome show poor meat quality, which results ...
    • 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. ...
    • 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)
    • Laboratory Hyperspectral Image Acquisition System Setup and Validation 

      Morales, Alejandro; Horstrand, Pablo; Guerra, Raúl; Leon, Raquel; Ortega, Samuel; Díaz, María; Melián, José M.; López, Sebastián; López, José F.; Callico, Gustavo M.; Martel, Ernestina; Sarmiento, Roberto (Peer reviewed; Journal article, 2022)
      Hyperspectral Imaging (HSI) techniques have demonstrated potential to provide useful information in a broad set of applications in different domains, from precision agriculture to environmental science. A first step in the ...
    • 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 ...
    • Perspective Chapter: Hyperspectral Imaging for the Analysis of Seafood 

      Ortega, Samuel; Lindberg, Stein-Kato; Anderssen, Kathryn Elizabeth; Heia, Karsten (Journal article, 2022)
      Hyperspectral imaging technology is able to provide useful information about the interaction between electromagnetic radiation and matter. This information makes possible chemical characterization of materials in a ...
    • Teknologi for automatisk sortering av tørrfisk 

      Nilsen, Heidi; Ortega, Samuel; Nyrud, Thomas; Karlsen, Amanda Katrine; Lindberg, Stein-Kato; Heia, Karsten; Joensen, Sjúrður (Nofima rapportserie, Research report, 2024)
      Tørking av fisk ute på hjell er en tradisjonell og mye brukt metode for konservering av fisk. Kvaliteten på sluttproduktet blir i stor grad avhengig av værforhold under tørking og kvaliteten på råstoffet som henges. Når ...
    • 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)