Evaluation of a novel tracking system in a breathing lung model. - Kilian O'Donoghue; Alberto Corvò; Pietro Nardelli; Conor O'Shea; Kashif Ali Khan; Marcus P. Kennedy; Pádraig Cantillon-Murphy (EMBC, 2014)

Deep-learning strategy for pulmonary artery-vein classification of non-contrast CT images. - Pietro Nardelli; Daniel Jimenez-Carretero; David Bermejo-Peláez; María J. Ledesma-Carbayo; Farbod N. Rahaghi; Raúl San José Estépar (ISBI, 2017)

CT Image Enhancement for Feature Detection and Localization. - Pietro Nardelli; James C. Ross; Raúl San José Estépar (MICCAI (2), 2017)

Pre-clinical validation of virtual bronchoscopy using 3D Slicer. - Pietro Nardelli; Herman Alexander Jaeger; Conor O'Shea; Kashif A. Khan; Marcus P. Kennedy; Pádraig Cantillon-Murphy (Int. J. Comput. Assist. Radiol. Surg., 2017)

Automated Catheter Navigation With Electromagnetic Image Guidance. - Herman Alexander Jaeger; Pietro Nardelli; Conor O'Shea; Josef Tugwell; Kashif A. Khan; Timothy Power; Michael O'Shea; Marcus P. Kennedy; Pádraig Cantillon-Murphy (IEEE Trans. Biomed. Eng., 2017)

Accurate Measurement of Airway Morphology on Chest CT Images. - Pietro Nardelli; Mathias Buus Lanng; Cecilie Brochdorff Møller; Anne-Sofie Hendrup Andersen; Alex Skovsbo Jørgensen; Lasse Riis Østergaard; Raúl San José Estépar (RAMBO+BIA+TIA@MICCAI, 2018)

Pulmonary Artery-Vein Classification in CT Images Using Deep Learning. - Pietro Nardelli; Daniel Jimenez-Carretero; David Bermejo-Peláez; George R. Washko; Farbod N. Rahaghi; María J. Ledesma-Carbayo; Raúl San José Estépar (IEEE Trans. Medical Imaging, 2018)

Regression of The Navier-Stokes Equation Solutions For Pulmonary Airway Flow Using Neural Networks. - Diego de los Ojos Araúzo; Pietro Nardelli; Raúl San José Estépar (ISBI, 2019)

Targeting Precision with Data Augmented Samples in Deep Learning. - Pietro Nardelli; Raúl San José Estépar (MICCAI (6), 2019)

Bronchial Cartilage Assessment with Model-Based GAN Regressor. - Pietro Nardelli; George R. Washko; Raúl San José Estépar (MICCAI (6), 2019)

A graph-cut approach for pulmonary artery-vein segmentation in noncontrast CT images. - Daniel Jimenez-Carretero; David Bermejo-Peláez; Pietro Nardelli; Patricia Fraga; Eduardo Fraile Moreno; Raúl San José Estépar; María J. Ledesma-Carbayo (Medical Image Anal., 2019)

Functional-Consistent CycleGAN for CT to Iodine Perfusion Map Translation. - Pietro Nardelli; Rubén San José Estépar; Farbod N. Rahaghi; Raúl San José Estépar (TIA@MICCAI, 2020)

An open-source framework for pulmonary fissure completeness assessment. - James C. Ross; Pietro Nardelli; Jorge Onieva; Sarah E. Gerard; Rola Harmouche; Yuka Okajima; Alejandro A. Díaz 001; George R. Washko; Raúl San José Estépar (Comput. Medical Imaging Graph., 2020)

Generative-based airway and vessel morphology quantification on chest CT images. - Pietro Nardelli; James C. Ross; Raúl San José Estépar (Medical Image Anal., 2020)

CryptoComparator: A Visual Analytics Environment for Cryptocurrencies Analysis. - Pietro Manganelli Conforti; Matteo Emanuele; Pietro Nardelli; Giuseppe Santucci; Marco Angelini (EuroVA@EuroVis, 2022)

Enhancing Air Quality Forecasting Through Deep Learning and Continuous Wavelet Transform. - Pietro Manganelli Conforti; Andrea Fanti 001; Pietro Nardelli; Paolo Russo 001 (ICIAP Workshops (1), 2023)

Quantitative Biomarkers Reproducibility Using Generative Adversarial Approaches in Reduced to Conventional Dose CT. - Pietro Nardelli; Rubén San José Estépar; Gonzalo Vegas-Sánchez-Ferrero; Raúl San José Estépar (ISBI, 2023)

CryptoComparator: Supporting cryptocurrencies analysis through Visual Analytics. - Pietro Manganelli Conforti; Matteo Emanuele; Pietro Nardelli; Giuseppe Santucci; Marco Angelini (Comput. Graph., 2023)

Artificial neural networks exploiting point cloud data for fragmented solid objects classification. - Alessandro Baiocchi; Stefano Giagu; Christian Napoli 001; M. Serra; Pietro Nardelli; M. Valleriani (Mach. Learn. Sci. Technol., 2023)

JOSENet: A Joint Stream Embedding Network for Violence Detection in Surveillance Videos. - Pietro Nardelli; Danilo Comminiello (CoRR, 2024)