| 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 | 138 | 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 | 135 | 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 | 130 | 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 ... | 112* | 2017 |
| Magnetic Resonance, vendor-independent, intensity histogram analysis predicting pathological complete response after radiochemotherapy of rectal cancer International Journal of Radiation Oncology • Biology • Physics, 2018 | 91 | 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 | 86 | 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 | 66 | 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 | 57 | 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 | 45 | 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 | 43 | 2020 |
| Radiomics for rectal cancer N Dinapoli, C Casà, B Barbaro, GV Chiloiro, A Damiani, M Di Matteo, ... Translational Cancer Research 5 (4), 2016 | 42 | 2016 |
| 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 | 39 | 2020 |
| Nomogram for predicting radiation maculopathy in patients treated with Ruthenium-106 plaque brachytherapy for uveal melanoma J Contemp Brachytherapy 6 (9), 540-547, 2017 | 38* | 2017 |
| 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 | 26 | 2021 |
| 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 | 26 | 2020 |
| 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 | 22 | 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 | 21 | 2018 |
| A real-time integrated framework to support clinical decision making for covid-19 patients R Murri, C Masciocchi, J Lenkowicz, M Fantoni, A Damiani, A Marchetti, ... Computer Methods and Programs in Biomedicine 217, 106655, 2022 | 17 | 2022 |
| 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 | 17 | 2021 |
| 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 | 17 | 2021 |
