Supervised Machine Learning Methods and Hyperspectral Imaging Techniques Jointly Applied for Brain Cancer Classification. - Gemma Urbanos; Alberto Martín; Guillermo Vázquez; Marta Villanueva; Manuel Villa; Luis Jimenez-Roldan; Miguel Chavarrías; Alfonso Lagares; Eduardo Juárez 001; César Sanz (Sensors, 2021)

Exploration of Realtime Brain tumor classification from Hyperspectral Images in Heterogeneous Embedded MPSoC. - Pallab Sutradhar; Jaime Sancho; Manuel Villa; Alberto Martín-Pérez; Guillermo Vázquez; Gonzalo Rosa; Alejandro Martinez de Ternero; Luis Jimenez-Roldan; Angel Perez-Nuñez; Alfonso Lagares; Miguel Chavarrías; Eduardo Juárez 001; et al. (DCIS, 2022)

Analysis and methodology for enabling DNN inference in an IoT edge environment in depth completion tasks. - Alejandro Martinez de Ternero; Jaime Sancho; Guillermo Vázquez; Manuel Villa; Gonzalo Rosa; Pallab Sutradhar; Alberto Martín-Pérez; Miguel Chavarrías; Luis Jimenez-Roldan; Angel Perez-Nuñez; Alfonso Lagares; Eduardo Juárez 001; et al. (DCIS, 2022)

Sparse to Dense Ground Truth Pre-Processing in Hyperspectral Imaging for In-Vivo Brain Tumour Detection. - Guillermo Vázquez; Alberto Martín-Pérez; Manuel Villa; Jaime Sancho; Gonzalo Rosa; Pedro L. Cebrián; Pallab Sutradhar; Alejandro Martinez de Ternero; Angel Perez-Nuñez; Luis Jimenez-Roldan; Alfonso Lagares; Miguel Chavarrías; et al. (MetroXRAINE, 2023)