Luca Boldrini

According to our database, Luca Boldrini authored at least 6 papers between 2015 and 2022.

Collaborative distances:

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

2022

Local tuning of radiomics-based model for predicting pathological response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.

Bin Tang, Jacopo Lenkowicz, Qian Peng, Luca Boldrini, Qing Hou, Nicola Dinapoli, Vincenzo Valentini, Peng Diao, Gang Yin, Lucia Clara Orlandini

BMC Medical Imaging, 2022

Federated Cox Proportional Hazards Model with multicentric privacy-preserving LASSO feature selection for survival analysis from the perspective of personalized medicine.

Carlotta Masciocchi, Benedetta Gottardelli, Mariachiara Savino, Luca Boldrini, Antonella Martino, Ciro Mazzarella, Mariangela Massaccesi, Vincenzo Valentini, Andrea Damiani

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

2021

Building an Artificial Intelligence Laboratory Based on Real World Data: The Experience of Gemelli Generator.

Andrea Damiani, Carlotta Masciocchi, Jacopo Lenkowicz, Nikola Dino Capocchiano, Luca Boldrini, Luca Tagliaferri, A. Cesario, P. Sergi, Antonio Marchetti, Alice Luraschi, S. Patarnello, Vincenzo Valentini

Frontiers Comput. Sci., 2021

2019

On the Feasibility of Distributed Process Mining in Healthcare.

Roberto Gatta, Mauro Vallati, Jacopo Lenkowicz, Carlotta Masciocchi, Francesco Cellini, Luca Boldrini, Carlos Fernández-Llatas, Vincenzo Valentini, Andrea Damiani

Proceedings of the Computational Science - ICCS 2019, 2019

2016

RadioBio data: A Moddicom Module to Predict Tumor Control Probability and Normal Tissue Complication Probability in Radiotherapy.

Nicola Dinapoli, Anna Rita Alitto, Mauro Vallati, Rosa Autorino, Roberto Gatta, Luca Boldrini, Andrea Damiani, Giovanna Mantini, Vincenzo Valentini

Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016

2015

Moddicom: a complete and easily accessible library for prognostic evaluations relying on image features.

Nicola Dinapoli, Anna Rita Alitto, Mauro Vallati, Roberto Gatta, Rosa Autorino, Luca Boldrini, Andrea Damiani, Vincenzo Valentini

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015