BORGESE, Riccardo Filippo
BORGESE, Riccardo Filippo
EPR RESPONSE OF PHENOLIC SOLID STATE PELLETS FOR DOSIMETRY OF RADIO- THERAPEUTIC PHOTON AND ELECTRON BEAMS
2020-01-01 Riccardo Filippo Borgese ; Salvatore Gallo; Giorgio Collura ; Salvatore Panzeca; Ivan Veronese; Daniele Dondi; Giuseppina Iacoviello; Gianfranco Loi; Eleonora Mones; Maurizio Marrale
PREDICTIVE MODELS BASED ON RADIOMICS AND MACHINE LEARNING FOR LUNG CANCER RADIOTHERAPY DATA ANALYSIS
2020-01-01 L Ubaldi; V Valenti; RF Borgese; G Collura; ME Fantacci; G Ferrera; G Iacoviello; F Laruina; A Tripoli; A Retico; M Marrale
Strategies to develop radiomics and machine learning models for lung cancer stage and histology prediction using small data samples
2021-09-01 Ubaldi L.; Valenti V.; Borgese R.F.; Collura G.; Fantacci M.E.; Ferrera G.; Iacoviello G.; Abbate B.F.; Laruina F.; Tripoli A.; Retico A.; Marrale M.
Thalamic parcellation for target identification in trans-cranial MR-guided Focused UltraSound (tcMRgFUS) thalamotomies: A preliminary probabilistic tractography study
2020-01-01 M Marrale; G Collura; RF Borgese; M Midiri; C Gagliardo
Transcranial magnetic resonance imaging-guided focused ultrasound treatment at 1.5 T: A retrospective study on treatment- and patient-related parameters obtained from 52 procedures
2020-01-01 Borgese RF; D’Angelo C; Cannella R; Collura G; Iacopino G; D’Amelio M; Napoli A; Bartolotta TV; Catalano C; Lagalla R; Midiri M; Gagliardo C; Marrale M
| Data di pubblicazione | Titolo | Autori | Tipologia | Autore(i) | File |
|---|---|---|---|---|---|
| 1-gen-2020 | EPR RESPONSE OF PHENOLIC SOLID STATE PELLETS FOR DOSIMETRY OF RADIO- THERAPEUTIC PHOTON AND ELECTRON BEAMS | Riccardo Filippo BorgeseSalvatore GalloGiorgio ColluraSalvatore PanzecaMaurizio Marrale + | 02 - Contributo in volume::2.08 Abstract in atti di convegno pubblicato in volume | Riccardo Filippo Borgese ; Salvatore Gallo; Giorgio Collura ; Salvatore Panzeca; Ivan Veronese; Daniele Dondi; Giuseppina Iacoviello; Gianfranco Loi; Eleonora Mones; Maurizio Marrale | |
| 1-gen-2020 | PREDICTIVE MODELS BASED ON RADIOMICS AND MACHINE LEARNING FOR LUNG CANCER RADIOTHERAPY DATA ANALYSIS | V ValentiRF BorgeseG ColluraG FerreraA TripoliM Marrale + | 02 - Contributo in volume::2.08 Abstract in atti di convegno pubblicato in volume | L Ubaldi; V Valenti; RF Borgese; G Collura; ME Fantacci; G Ferrera; G Iacoviello; F Laruina; A Tripoli; A Retico; M Marrale | |
| 1-set-2021 | Strategies to develop radiomics and machine learning models for lung cancer stage and histology prediction using small data samples | Borgese R. F.Collura G.Ferrera G.Abbate B. F.Marrale M. + | 01 - Contributo in rivista::1.01 Articolo in rivista | Ubaldi L.; Valenti V.; Borgese R.F.; Collura G.; Fantacci M.E.; Ferrera G.; Iacoviello G.; Abbate B.F.; Laruina F.; Tripoli A.; Retico A.; Marrale M. | |
| 1-gen-2020 | Thalamic parcellation for target identification in trans-cranial MR-guided Focused UltraSound (tcMRgFUS) thalamotomies: A preliminary probabilistic tractography study | M MarraleG ColluraRF BorgeseM MidiriC Gagliardo | 02 - Contributo in volume::2.08 Abstract in atti di convegno pubblicato in volume | M Marrale; G Collura; RF Borgese; M Midiri; C Gagliardo | |
| 1-gen-2020 | Transcranial magnetic resonance imaging-guided focused ultrasound treatment at 1.5 T: A retrospective study on treatment- and patient-related parameters obtained from 52 procedures | Borgese RFCannella RCollura GIacopino GD’Amelio MBartolotta TVCatalano CLagalla RMidiri MGagliardo CMarrale M + | 02 - Contributo in volume::2.08 Abstract in atti di convegno pubblicato in volume | Borgese RF; D’Angelo C; Cannella R; Collura G; Iacopino G; D’Amelio M; Napoli A; Bartolotta TV; Catalano C; Lagalla R; Midiri M; Gagliardo C; Marrale M |