activity
20072024
most citedSpatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations

178 citations · 396 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024★ 40 cited

Implementation of the Principal Component Analysis onto High-Performance Computer Facilities for Hyperspectral Dimensionality Reduction: Results and Comparisons

E. Martel, R. Lazcano, J. Lopez +7

Dimensionality reduction represents a critical preprocessing step in order to increase the efficiency and the performance of many hyperspectral imaging algorithms. However, dimensi…

eess.IV2024★ 176 cited

In-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detection

H. Fabelo, S. Ortega, A. Szolna +25

The use of hyperspectral imaging for medical applications is becoming more common in recent years. One of the main obstacles that researchers find when developing hyperspectral alg…

eess.IV2024★ 178 cited

Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations

H. Fabelo, S. Ortega, D. Ravi +19

Surgery for brain cancer is a major problem in neurosurgery. The diffuse infiltration into the surrounding normal brain by these tumors makes their accurate identification by the n…

astro-ph.IM2018

Processing diffraction-limited images through innovative Super-Resolution techniques

E. Quevedo, S. Velasco, C. Colodro-Conde +10

In the ELTs era, where the need for versatile and innovative solutions to produce very high spatial resolution images has become a major issue, the search of synergies with other s…

cs.MM2007★ 2 cited

A High Quality/Low Computational Cost Technique for Block Matching Motion Estimation

S. Lopez, G. M. Callico, J. F. Lopez +1

Motion estimation is the most critical process in video coding systems. First of all, it has a definitive impact on the rate-distortion performance given by the video encoder. Seco…