1. Could Machine Learning Improve the Prediction of Pelvic Nodal Status of Prostate Cancer Patients? Preliminary Results of a Pilot Study. (3rd July 2015) Authors: De Bari, B.; Vallati, M.; Gatta, R.; Simeone, C.; Girelli, G.; Ricardi, U.; Meattini, I.; Gabriele, P.; Bellavita, R.; Krengli, M.; Cafaro, I.; Cagna, E.; Bunkheila, F.; Borghesi, S.; Signor, M.; Di Marco, A.; Bertoni, F.; Stefanacci, M.; Pasinetti, N.; Buglione, M. Journal: Cancer investigation Issue: Volume 33:Number 6(2015) Page Start: 232 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. PO-0758: Adjuvant or Salvage?10-y results of the AIRO Group on Prostate cancer multicentre prospective trial. (April 2016) Authors: Maurizi, F.; Antognoni, P.; Barra, S.; Bertoni, F.; Bonetta, A.; Bortolus, G.; Colombo, A.; Frezza, G.; Gabriele, O.; Iotti, C.; Mattana, F.; Meregalli, S.; Moro, G.; Signor, M.; Malinverni, G. Journal: Radiotherapy and oncology Issue: Volume 119(2016)Supplement 1 Page Start: S354 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗