Jorge F. Lazo

According to our database, Jorge F. Lazo authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Semi-Supervised Bladder Tissue Classification in Multi-Domain Endoscopic Images.

Jorge F. Lazo, Benoit Rosa, Michele Catellani, Matteo Fontana, Francesco A. Mistretta, Gennaro Musi, Ottavio De Cobelli, Michel de Mathelin, Elena De Momi

IEEE Trans. Biomed. Eng., October, 2023

Computer vision aided diagnosis and guidance in endoscopic urology

Jorge F. Lazo

PhD thesis, 2023

2022

Semi-supervised GAN for Bladder Tissue Classification in Multi-Domain Endoscopic Images.

Jorge F. Lazo, Benoit Rosa, Michele Catellani, Matteo Fontana, Francesco A. Mistretta, Gennaro Musi, Ottavio De Cobelli, Michel de Mathelin, Elena De Momi

CoRR, 2022

Autonomous Intraluminal Navigation of a Soft Robot using Deep-Learning-based Visual Servoing.

Jorge F. Lazo, Chun-Feng Lai, Sara Moccia, Benoit Rosa, Michele Catellani, Michel de Mathelin, Giancarlo Ferrigno, Paul Breedveld, Jenny Dankelman, Elena De Momi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

A transfer-learning approach for lesion detection in endoscopic images from the urinary tract.

Jorge F. Lazo, Sara Moccia, Aldo Marzullo, Michele Catellani, Ottavio De Cobelli, Benoit Rosa, Michel de Mathelin, Elena De Momi

CoRR, 2021

A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture.

Jorge F. Lazo, Aldo Marzullo, Sara Moccia, Michele Catellani, Benoit Rosa, Michel de Mathelin, Elena De Momi

CoRR, 2021

Using spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy.

Jorge F. Lazo, Aldo Marzullo, Sara Moccia, Michele Catellani, Benoit Rosa, Michel de Mathelin, Elena De Momi

Int. J. Comput. Assist. Radiol. Surg., 2021

2020

Comparison of different CNNs for breast tumor classification from ultrasound images.

Jorge F. Lazo, Sara Moccia, Emanuele Frontoni, Elena De Momi

CoRR, 2020

A Lumen Segmentation Method in Ureteroscopy Images based on a Deep Residual U-Net architecture.

Jorge F. Lazo, Aldo Marzullo, Sara Moccia, Michele Catellani, Benoit Rosa, Francesco Calimeri, Michel de Mathelin, Elena De Momi

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2018

Network-based indicators of Bitcoin bubbles.

Alexandre Bovet, Carlo Campajola, Jorge F. Lazo, Francesco Mottes, Iacopo Pozzana, Valerio Restocchi, Pietro Saggese, Nicoló Vallarano, Tiziano Squartini, Claudio J. Tessone

CoRR, 2018