Michele Catellani

According to our database, Michele Catellani authored at least 11 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• 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

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

Robot-assisted ex vivo neobladder reconstruction: preliminary results of surgical skill evaluation.

Ziyang Chen, Serenella Terlizzi, Tommaso Da Col, Aldo Marzullo, Michele Catellani, Giancarlo Ferrigno, Elena De Momi

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

Automating Endoscope Motion in Robotic Surgery: A Usability Study on da Vinci-Assisted Ex Vivo Neobladder Reconstruction.

Tommaso Da Col, Guido Caccianiga, Michele Catellani, Andrea Mariani, Matteo Ferro, Giovanni Cordima, Elena De Momi, Giancarlo Ferrigno, Ottavio De Cobelli

Frontiers Robotics AI, 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

Towards realistic laparoscopic image generation using image-domain translation.

Aldo Marzullo, Sara Moccia, Michele Catellani, Francesco Calimeri, Elena De Momi

Comput. Methods Programs Biomed., 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

Standard vs. Learning-based Codecs for Real Time Endoscopic Video Transmission.

Aldo Marzullo, Martina Golini, Michele Catellani, Elena De Momi, Francesco Calimeri, Giuseppe Fiameni, Iuri Frosio

Proceedings of the 1st Italian Workshop on Artificial Intelligence and Applications for Business and Industries (AIABI 2021) co-located with 20th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2021), 2021

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