Descripción

He has completed a degree in Telecommunications Engineering, specialising in Telematics (2016 - 2021) at the Polytechnic University of Madrid (ETSIST) and is a member and member of the board of directors of the Electronic Association of Telecommunications (AETEL) and the Telecommunications Programming Association (Programatel).

In 2022 he studied the Master's Degree in Internet Of Things (IoT) and in the academic year 2022/2023 he starts his PhD focused on medical image processing, specifically in the area of neurosurgery assisted by hyperspectral imaging. He is currently employed as a predoctoral researcher in the GDEM group and is actively participating in the AIMS5.0 project.

He is interested in Machine Learning and especially in its applications in the field of health. His latest work has focused on the use of convolutional neural networks in depth estimation tasks. Specifically, obtaining complete depth maps of a scene, from the depth information on the edges of an image, carrying out Depth Completion tasks.

Publicaciones

• Unifying heterogeneous hyperspectral databases for in vivo human brain cancer classification Towards robust algorithm developmen

• Martín Pérez, A., Martínez-Vega, B., Villa Romero, M., León, R., Martínez de Ternero Ruíz, A., Fabelo, H. et al
  2025
  ScienceDirect, 7, 100183

• SLIMBRAIN database: A multimodal image database of in vivo human brains for tumour detection

• Martín Pérez, A., Villa Romero, M., Rosa Olmeda, G., Sancho Aragón, J., Vázquez Valle, G., Urbanos García, G. et al
  2025
  Scientific Data, 12(836)

• Spectral analysis comparison of pushbroom and snapshot hyperspectral cameras for in vivo brain tissues and chromophore identification

• Martín Pérez, A., Martínez de Ternero Ruíz, A., Lagares, A., Juárez Martínez, E. & Sanz Álvaro, C
  2024
  Journal of Biomedical Optics, 29(9), 093510

Proyectos

• AIMS5.0: Artificial Intelligence in Manufacturing leading to Sustainability and Industry5.0