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Distributed learning on 20 000+ lung cancer patients–The Personal Health Train
TM Deist, FJWM Dankers, P Ojha, MS Marshall, T Janssen, C Faivre-Finn, ...
Radiotherapy and Oncology 144, 189-200, 2020
Deep learning: a review for the radiation oncologist
L Boldrini, JE Bibault, C Masciocchi, Y Shen, MI Bittner
Frontiers in oncology 9, 977, 2019
Delta radiomics for rectal cancer response prediction with hybrid 0.35 T magnetic resonance-guided radiotherapy (MRgRT): a hypothesis-generating study for an innovative …
L Boldrini, D Cusumano, G Chiloiro, C Casà, C Masciocchi, J Lenkowicz, ...
La radiologia medica 124, 145-153, 2019
Fractal‐based radiomic approach to predict complete pathological response after chemo‐radiotherapy in rectal cancer
VV Davide Cusumano, Nicola Dinapoli, Luca Boldrini, Giuditta Chiloiro ...
Magnetic Resonance, vendor-independent, intensity histogram analysis predicting pathological complete response after radiochemotherapy of rectal cancer
International Journal of Radiation Oncology • Biology • Physics, 2018
A field strength independent MR radiomics model to predict pathological complete response in locally advanced rectal cancer
D Cusumano, G Meijer, J Lenkowicz, G Chiloiro, L Boldrini, C Masciocchi, ...
La radiologia medica 126, 421-429, 2021
Time to surgery and pathologic complete response after neoadjuvant chemoradiation in rectal cancer: a population study on 2094 patients
G Macchia, MA Gambacorta, C Masciocchi, G Chiloiro, G Mantello, ...
Clinical and translational radiation oncology 4, 8-14, 2017
Timing to achieve the highest rate of pCR after preoperative radiochemotherapy in rectal cancer: a pooled analysis of 3085 patients from 7 randomized trials
MA Gambacorta, C Masciocchi, G Chiloiro, E Meldolesi, G Macchia, ...
Radiotherapy and Oncology 154, 154-160, 2021
Towards a modular decision support system for radiomics: A case study on rectal cancer
R Gatta, M Vallati, N Dinapoli, C Masciocchi, J Lenkowicz, D Cusumano, ...
Artificial intelligence in medicine 96, 145-153, 2019
Delta radiomics can predict distant metastasis in locally advanced rectal cancer: the challenge to personalize the cure
G Chiloiro, P Rodriguez-Carnero, J Lenkowicz, C Casa, C Masciocchi, ...
Frontiers in Oncology 10, 595012, 2020
Radiomics for rectal cancer
N Dinapoli, C Casà, B Barbaro, GV Chiloiro, A Damiani, M Di Matteo, ...
Translational Cancer Research 5 (4), 2016
Nomogram for predicting radiation maculopathy in patients treated with Ruthenium-106 plaque brachytherapy for uveal melanoma
J Contemp Brachytherapy 6 (9), 540-547, 2017
SKIN-COBRA (Consortium for Brachytherapy data Analysis) ontology: The first step towards interdisciplinary standardized data collection for personalized oncology in skin cancer
V Lancellotta, JL Guinot, B Fionda, A Rembielak, A Di Stefani, ...
Journal of contemporary brachytherapy 12 (2), 105-110, 2020
Exploring technical issues in personalized medicine: NSCLC survival prediction by quantitative image analysis—usefulness of density correction of volumetric CT data
A Farchione, AR Larici, C Masciocchi, G Cicchetti, MT Congedo, ...
La radiologia medica 125, 625-635, 2020
Building an artificial intelligence laboratory based on real world data: the experience of gemelli generator
A Damiani, C Masciocchi, J Lenkowicz, ND Capocchiano, L Boldrini, ...
Frontiers in Computer Science 3, 768266, 2021
Integrating downstaging in the risk assessment of patients with locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy: validation of Valentini's nomograms …
S Rosello, M Frasson, E García-Granero, D Roda, E Jordá, S Navarro, ...
Clinical Colorectal Cancer 17 (2), 104-112. e2, 2018
Assessing the conformity to clinical guidelines in oncology: An example for the multidisciplinary management of locally advanced colorectal cancer treatment
J Lenkowicz, R Gatta, C Masciocchi, C Casà, F Cellini, A Damiani, ...
Management Decision 56 (10), 2172-2186, 2018
Generator breast datamart—the novel breast cancer data discovery system for research and monitoring: Preliminary results and future perspectives
F Marazzi, L Tagliaferri, V Masiello, F Moschella, GF Colloca, B Corvari, ...
Journal of Personalized Medicine 11 (2), 65, 2021
A machine-learning parsimonious multivariable predictive model of mortality risk in patients with Covid-19
R Murri, J Lenkowicz, C Masciocchi, C Iacomini, M Fantoni, A Damiani, ...
Scientific Reports 11 (1), 21136, 2021
Myocardial Injury portends a higher risk of Mortality and Long-Term Cardiovascular Sequelae after Hospital Discharge in COVID-19 survivors
R Rinaldi, M Basile, C Salzillo, DL Grieco, A Caffè, C Masciocchi, L Lilli, ...
Journal of Clinical Medicine 11 (19), 5964, 2022
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