| 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 | 140 | 2019 |
| Online adaptive magnetic resonance guided radiotherapy for pancreatic cancer: state of the art, pearls and pitfalls L Boldrini, D Cusumano, F Cellini, L Azario, GC Mattiucci, V Valentini Radiation Oncology 14, 1-6, 2019 | 127 | 2019 |
| Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer D Cusumano, N Dinapoli, L Boldrini, G Chiloiro, R Gatta, C Masciocchi, ... La radiologia medica 123, 286-295, 2018 | 122 | 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 | 90 | 2021 |
| A deep learning approach to generate synthetic CT in low field MR-guided adaptive radiotherapy for abdominal and pelvic cases D Cusumano, J Lenkowicz, C Votta, L Boldrini, L Placidi, F Catucci, ... Radiotherapy and Oncology 153, 205-212, 2020 | 89 | 2020 |
| Artificial Intelligence in magnetic Resonance guided Radiotherapy: Medical and physical considerations on state of art and future perspectives D Cusumano, L Boldrini, J Dhont, C Fiorino, O Green, G Güngör, N Jornet, ... Physica medica 85, 175-191, 2021 | 87 | 2021 |
| Predicting tumour motion during the whole radiotherapy treatment: a systematic approach for thoracic and abdominal lesions based on real time MR D Cusumano, J Dhont, L Boldrini, G Chiloiro, S Teodoli, M Massaccesi, ... Radiotherapy and Oncology 129 (3), 456-462, 2018 | 68 | 2018 |
| MR-guided radiotherapy in rectal cancer: first clinical experience of an innovative technology G Chiloiro, L Boldrini, E Meldolesi, A Re, F Cellini, D Cusumano, ... Clinical and Translational Radiation Oncology 18, 80-86, 2019 | 64 | 2019 |
| On-line adaptive MR guided radiotherapy for locally advanced pancreatic cancer: Clinical and dosimetric considerations L Placidi, A Romano, G Chiloiro, D Cusumano, L Boldrini, F Cellini, ... Technical innovations & patient support in radiation oncology 15, 15-21, 2020 | 54 | 2020 |
| 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 | 49 | 2020 |
| 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 | 49 | 2019 |
| In vivo rectal wall measurements during HDR prostate brachytherapy with MOSkin dosimeters integrated on a trans-rectal US probe: Comparison with planned and reconstructed doses M Carrara, C Tenconi, G Rossi, M Borroni, A Cerrotta, S Grisotto, ... Radiotherapy and Oncology 118 (1), 148-153, 2016 | 49 | 2016 |
| External validation of early regression index (ERITCP) as predictor of pathologic complete response in rectal cancer using magnetic resonance-guided radiation therapy D Cusumano, L Boldrini, P Yadav, G Yu, B Musurunu, G Chiloiro, A Piras, ... International Journal of Radiation Oncology* Biology* Physics 108 (5), 1347-1356, 2020 | 47 | 2020 |
| Radiomics-based prediction of two-year clinical outcome in locally advanced cervical cancer patients undergoing neoadjuvant chemoradiotherapy R Autorino, B Gui, G Panza, L Boldrini, D Cusumano, L Russo, ... La radiologia medica 127 (5), 498-506, 2022 | 45 | 2022 |
| Delta radiomics analysis for local control prediction in pancreatic cancer patients treated using magnetic resonance guided radiotherapy D Cusumano, L Boldrini, P Yadav, C Casà, SL Lee, A Romano, A Piras, ... Diagnostics 11 (1), 72, 2021 | 44 | 2021 |
| Does restaging MRI radiomics analysis improve pathological complete response prediction in rectal cancer patients? A prognostic model development G Chiloiro, D Cusumano, P de Franco, J Lenkowicz, L Boldrini, D Carano, ... La radiologia medica 127 (1), 11-20, 2022 | 43 | 2022 |
| Delta radiomics for rectal cancer response prediction using low field magnetic resonance guided radiotherapy: an external validation D Cusumano, L Boldrini, P Yadav, G Yu, B Musurunu, G Chiloiro, A Piras, ... Physica Medica 84, 186-191, 2021 | 43 | 2021 |
| A deep learning approach to generate synthetic CT in low field MR-guided radiotherapy for lung cases J Lenkowicz, C Votta, M Nardini, F Quaranta, F Catucci, L Boldrini, ... Radiotherapy and Oncology 176, 31-38, 2022 | 40 | 2022 |
| Patient‐specific transfer learning for auto‐segmentation in adaptive 0.35 T MRgRT of prostate cancer: a bi‐centric evaluation M Kawula, I Hadi, L Nierer, M Vagni, D Cusumano, L Boldrini, L Placidi, ... Medical Physics 50 (3), 1573-1585, 2023 | 39 | 2023 |
| Offline and online LSTM networks for respiratory motion prediction in MR-guided radiotherapy E Lombardo, M Rabe, Y Xiong, L Nierer, D Cusumano, L Placidi, ... Physics in Medicine & Biology 67 (9), 095006, 2022 | 36 | 2022 |
