activity
20072025
most citedSpatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations

178 citations · 371 across the 5 of their papers we have counts for

collaborators

5 papers

physics.optics2025

Exploring the role of sample thickness for hyperspectral microscopy tissue discrimination through Monte Carlo simulations

Laura Quintana-quintana, Mark Witteveen, Behdad Dashtbozorg +4

Recent advancements in multispectral (MS) and hyperspectral (HS) microscopy have focused on sensor and system improvements, yet sample processing remains overlooked. We conducted a…

cs.PF2024★ 15 cited

Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications

Raquel Lazcano, Daniel Madroñal, Giordana Florimbi +12

Hyperspectral (HS) imaging presents itself as a non-contact, non-ionizing and non-invasive technique, proven to be suitable for medical diagnosis. However, the volume of informatio…

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…

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…