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)

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 (ICPR, 2020)

Comparison of different CNNs for breast tumor classification from ultrasound images. - Jorge F. Lazo; Sara Moccia; Emanuele Frontoni; Elena De Momi (CoRR, 2020)

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)

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)

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)

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 (IROS, 2022)

Semi-supervised GAN for Bladder Tissue Classification in Multi-Domain Endoscopic Images. - Jorge F. Lazo; Benoit Rosa; Michele Catellani; Matteo Fontana; Francesco Alessandro Mistretta; Gennaro Musi; Ottavio De Cobelli; Michel de Mathelin; Elena De Momi (CoRR, 2022)

Computer vision aided diagnosis and guidance in endoscopic urology - Jorge F. Lazo (2023)

Semi-Supervised Bladder Tissue Classification in Multi-Domain Endoscopic Images. - Jorge F. Lazo; Benoit Rosa; Michele Catellani; Matteo Fontana; Francesco Alessandro Mistretta; Gennaro Musi; Ottavio De Cobelli; Michel de Mathelin; Elena De Momi (IEEE Trans. Biomed. Eng., 2023)

Applying Machine Learning for Forest Attribute Mapping in Latvia - Sharing Insights from the Swedish Approach. - Johan E. S. Fransson; Dag Björnberg; Anton Holmström; Jorge F. Lazo; Welf Löve; Mats Nilsson; Jari Salo 001; Maurizio Santoro; Elif Sertel; Shafiullah Soomro; Jörgen Wallerman; Cem Ünsalan; et al. (IGARSS, 2024)