Pietro Nardelli

According to our database, Pietro Nardelli authored at least 18 papers between 2014 and 2023.

Collaborative distances:

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

2023

Artificial neural networks exploiting point cloud data for fragmented solid objects classification.

Alessandro Baiocchi, Stefano Giagu, Christian Napoli, M. Serra, Pietro Nardelli, M. Valleriani

Mach. Learn. Sci. Technol., December, 2023

CryptoComparator: Supporting cryptocurrencies analysis through Visual Analytics.

Pietro Manganelli Conforti, Matteo Emanuele, Pietro Nardelli, Giuseppe Santucci, Marco Angelini

Comput. Graph., August, 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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Enhancing Air Quality Forecasting Through Deep Learning and Continuous Wavelet Transform.

Pietro Manganelli Conforti, Andrea Fanti, Pietro Nardelli, Paolo Russo

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

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

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, George R. Washko, Raúl San José Estépar

Comput. Medical Imaging Graph., 2020

Functional-Consistent CycleGAN for CT to Iodine Perfusion Map Translation.

Pietro Nardelli, Rubén San José Estépar, Farbod N. Rahaghi, Raúl San José Estépar

Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020

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

Bronchial Cartilage Assessment with Model-Based GAN Regressor.

Pietro Nardelli, George R. Washko, Raúl San José Estépar

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Targeting Precision with Data Augmented Samples in Deep Learning.

Pietro Nardelli, Raúl San José Estépar

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

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

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

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

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

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

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

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

CT Image Enhancement for Feature Detection and Localization.

Pietro Nardelli, James C. Ross, Raúl San José Estépar

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

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

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2014

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

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014