Novel Methodology for Alzheimer's Disease Biomarker Identification in Plasma using Hyperspectral Microscopy. - Himar Fabelo; Raquel León; Samuel Ortega; Francisco Balea-Fernández; Cristina Bilbao; Gustavo M. Callicó; Ana Wagner (DCIS, 2020)

Hyperspectral Imaging for Major Neurocognitive Disorder Detection in Plasma Samples. - Raquel León; Beatriz Martínez-Vega; Himar Fabelo; Samuel Ortega; Gustavo M. Callicó; Francisco Balea-Fernández; Cristina Bilbao Sieyro (DCIS, 2020)

Evaluating the use of Hyperspectral Imaging as Complementary Blood Sample Tests. - Himar Fabelo; Raquel León; Samuel Ortega; Francisco Balea-Fernández; Bernardino Clavo; Gustavo M. Callicó; Ana Wagner (DCIS, 2021)

Exploring a Segmentation-Classification Deep Learning-based Heart Murmurs Detector. - Daniel Enériz; Antonio J. Rodríguez-Almeida; Himar Fabelo; Samuel Ortega; Francisco Balea-Fernández; Nicolás Medrano; Belén Calvo; Gustavo M. Callicó (CinC, 2022)

Towards Skin Cancer Self-Monitoring through an Optimized MobileNet with Coordinate Attention. - María Castro-Fernández; Abián Hernández; Himar Fabelo; Francisco Balea-Fernández; Samuel Ortega; Gustavo M. Callicó (DSD, 2022)

Development of a Hyperspectral Colposcope for Early Detection and Assessment of Cervical Dysplasia. - Carlos Vega; Raquel León; Norberto Medina; Himar Fabelo; Samuel Ortega; Fran Balea; Aday García; Margarita Medina; Silvia De León; Alicia Martín; Gustavo M. Callicó (DSD, 2022)

In the use of artificial intelligence and hyperspectral imaging in digital pathology for breast cancer cell identification. - Laura Quintana; Samuel Ortega; Raquel León; Himar Fabelo; Francisco Javier Balea-Fernández; Esther Sauras; Marylène Lejeune; Ramón Bosch; Carlos López 002; Gustavo M. Callicó (Digital and Computational Pathology, 2022)

Hyperspectral imaging for in-vivo/ex-vivo tissue analysis of human brain cancer. - Raquel León; Sofia H. Gelado; Himar Fabelo; Samuel Ortega; Laura Quintana; Adam Szolna; Juan F. Piñeiro; Francisco Balea-Fernández; Jesús Morera; Bernardino Clavo; Gustavo M. Callicó (Image-Guided Procedures, 2022)

Evaluation of Preprocessing Methods on Independent Medical Hyperspectral Databases to Improve Analysis. - Beatriz Martínez-Vega; Mariia Tkachenko; Marianne Matkabi; Samuel Ortega; Himar Fabelo; Francisco Balea-Fernández; Marco La Salvia; Emanuele Torti; Francesco Leporati; Gustavo M. Callicó; Claire Chalopin (Sensors, 2022)

Neural Networks-Based On-Site Dermatologic Diagnosis through Hyperspectral Epidermal Images. - Marco La Salvia; Emanuele Torti; Raquel León; Himar Fabelo; Samuel Ortega; Francisco Balea-Fernández; Beatriz Martínez-Vega; Irene Castaño; Pablo Almeida; Gregorio Carretero; Javier A. Hernández; Gustavo M. Callicó; et al. (Sensors, 2022)

Hyperspectral Image Dataset for Focus Analysis (HIDFA). - Laura Quintana; Samuel Ortega; Himar Fabelo; Francisco Balea-Fernández; Gustavo M. Callicó (IEEE DataPort, 2022)

Synthetic Patient Data Generation and Evaluation in Disease Prediction Using Small and Imbalanced Datasets. - Antonio J. Rodríguez-Almeida; Himar Fabelo; Samuel Ortega; Alejandro Deniz; Francisco Javier Balea-Fernández; Eduardo Quevedo; Cristina Soguero-Ruíz; Ana M. Wägner; Gustavo M. Callicó (IEEE J. Biomed. Health Informatics, 2023)

Low-Cost FPGA Implementation of Deep Learning-Based Heart Sound Segmentation for Real-Time CVDs Screening. - Daniel Enériz; Antonio J. Rodríguez-Almeida; Himar Fabelo; Samuel Ortega; Francisco Javier Balea-Fernández; Gustavo M. Callicó; Nicolás Medrano; Belén Calvo (IEEE Trans. Instrum. Meas., 2024)