activity
20192025
most citedLaparoscopy Surgery CO2 Removal via Generative Adversary Network and Dark Channel Prior

2 citations · 4 across the 3 of their papers we have counts for

collaborators

4 papers

cond-mat.mtrl-sci2025★ 2 cited

Revisiting and Accelerating the Basin Hopping Algorithm for Lennard-Jones Clusters: Adaptive and Parallel Implementation in Python

Oliver Carmona, Peter Ludwig Rodríguez-Kessler, Sebastián Salazar-Colores +1

We present an adaptive and parallel implementation of the Basin Hopping (BH) algorithm for the global optimization of atomic clusters interacting via the Lennard-Jones (LJ) potenti…

cs.CV2021

A trainable monogenic ConvNet layer robust in front of large contrast changes in image classification

E. Ulises Moya-Sánchez, Sebastiá Xambo-Descamps, Abraham Sánchez +2

Convolutional Neural Networks (ConvNets) at present achieve remarkable performance in image classification tasks. However, current ConvNets cannot guarantee the capabilities of the…

eess.IV2020

Desmoking laparoscopy surgery images using an image-to-image translation guided by an embedded dark channel

Sebastián Salazar-Colores, Hugo Alberto-Moreno, César Javier Ortiz-Echeverri +1

In laparoscopic surgery, the visibility in the image can be severely degraded by the smoke caused by the injection, and dissection tools, thus reducing the visibility of org…

physics.med-ph2019★ 2 cited

Laparoscopy Surgery CO2 Removal via Generative Adversary Network and Dark Channel Prior

Sebastián Salazar-Colores, Hugo Alberto-Moreno, Gerardo Flores +1

Laparoscopic surgery uses a thin tube with a camera called a laparoscope, which is inserted into the abdomen through a small incision in the skin during surgery. This allows to a s…