The image biomarker standardization initiative: standardized quantitative radiomics for high-throughput image-based phenotyping A Zwanenburg, M Vallières, MA Abdalah, HJWL Aerts, V Andrearczyk, ... Radiology 295 (2), 328-338, 2020 | 3017 | 2020 |
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 | 138 | 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 | 120 | 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 | 89 | 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 |
CT radiomics signature of tumor and peritumoral lung parenchyma to predict nonsmall cell lung cancer postsurgical recurrence risk TA D'Antonoli, A Farchione, J Lenkowicz, M Chiappetta, G Cicchetti, ... Academic radiology 27 (4), 497-507, 2020 | 89 | 2020 |
pMineR: an innovative R library for performing process mining in medicine R Gatta, J Lenkowicz, M Vallati, E Rojas, A Damiani, L Sacchi, B De Bari, ... Artificial Intelligence in Medicine: 16th Conference on Artificial …, 2017 | 69 | 2017 |
The image biomarker standardization initiative: standardized convolutional filters for reproducible radiomics and enhanced clinical insights P Whybra, A Zwanenburg, V Andrearczyk, R Schaer, AP Apte, A Ayotte, ... Radiology 310 (2), e231319, 2024 | 63 | 2024 |
ENT COBRA ONTOLOGY: the covariates classification system proposed by the Head & Neck and Skin GEC-ESTRO Working Group for interdisciplinary standardized data collection in head … L Tagliaferri, A Budrukkar, J Lenkowicz, M Cambeiro, F Bussu, JL Guinot, ... Journal of contemporary brachytherapy 10 (3), 260-266, 2018 | 59 | 2018 |
Comparison of radiomics tools for image analyses and clinical prediction in nasopharyngeal carcinoma ZG Liang, HQ Tan, F Zhang, LK Rui Tan, L Lin, J Lenkowicz, H Wang, ... The British Journal of Radiology 92 (1102), 20190271, 2019 | 55 | 2019 |
Identification of the most significant magnetic resonance imaging (MRI) radiomic features in oncological patients with vertebral bone marrow metastatic disease: a feasibility study L Filograna, J Lenkowicz, F Cellini, N Dinapoli, S Manfrida, N Magarelli, ... La radiologia medica 124, 50-57, 2019 | 55 | 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 | 48 | 2020 |
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 |
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 | 47 | 2019 |
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 |
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 | 42 | 2022 |
CT-based radiomics and deep learning for BRCA mutation and progression-free survival prediction in ovarian cancer using a multicentric dataset G Avesani, HE Tran, G Cammarata, F Botta, S Raimondi, L Russo, ... Cancers 14 (11), 2739, 2022 | 41 | 2022 |
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 |
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 | 40 | 2020 |
A multicentre evaluation of dosiomics features reproducibility, stability and sensitivity L Placidi, E Gioscio, C Garibaldi, T Rancati, A Fanizzi, D Maestri, ... Cancers 13 (15), 3835, 2021 | 39 | 2021 |