| Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics M Sollini, L Antunovic, A Chiti, M Kirienko European journal of nuclear medicine and molecular imaging 46, 2656-2672, 2019 | 219 | 2019 |
| Prediction of disease-free survival by the PET/CT radiomic signature in non-small cell lung cancer patients undergoing surgery M Kirienko, L Cozzi, L Antunovic, L Lozza, A Fogliata, E Voulaz, A Rossi, ... European journal of nuclear medicine and molecular imaging 45, 207-217, 2018 | 171 | 2018 |
| PET Radiomics in NSCLC: state of the art and a proposal for harmonization of methodology M Sollini, L Cozzi, L Antunovic, A Chiti, M Kirienko Scientific reports 7 (1), 358, 2017 | 165 | 2017 |
| Ability of FDG PET and CT radiomics features to differentiate between primary and metastatic lung lesions M Kirienko, L Cozzi, A Rossi, E Voulaz, L Antunovic, A Fogliata, A Chiti, ... European Journal of Nuclear Medicine and Molecular Imaging 45, 1649-1660, 2018 | 129 | 2018 |
| PET/CT radiomics in breast cancer: promising tool for prediction of pathological response to neoadjuvant chemotherapy L Antunovic, R De Sanctis, L Cozzi, M Kirienko, A Sagona, R Torrisi, ... European journal of nuclear medicine and molecular imaging 46, 1468-1477, 2019 | 119 | 2019 |
| 11C-Choline PET/CT as a guide to radiation treatment planning of lymph-node relapses in prostate cancer patients M Picchio, G Berardi, A Fodor, E Busnardo, C Crivellaro, G Giovacchini, ... European journal of nuclear medicine and molecular imaging 41, 1270-1279, 2014 | 110 | 2014 |
| Texture analysis and machine learning to characterize suspected thyroid nodules and differentiated thyroid cancer: Where do we stand? M Sollini, L Cozzi, A Chiti, M Kirienko European journal of radiology 99, 1-8, 2018 | 108 | 2018 |
| State-of-the-art of FAPI-PET imaging: a systematic review and meta-analysis M Sollini, M Kirienko, F Gelardi, F Fiz, N Gozzi, A Chiti European Journal of Nuclear Medicine and Molecular Imaging 48 (13), 4396-4414, 2021 | 91 | 2021 |
| Radiomics based analysis to predict local control and survival in hepatocellular carcinoma patients treated with volumetric modulated arc therapy L Cozzi, N Dinapoli, A Fogliata, WC Hsu, G Reggiori, F Lobefalo, ... BMC cancer 17, 1-10, 2017 | 87 | 2017 |
| Radiomics of MRI for pretreatment prediction of pathologic complete response, tumor regression grade, and neoadjuvant rectal score in patients with locally advanced rectal … H Shaish, A Aukerman, R Vanguri, A Spinelli, P Armenta, S Jambawalikar, ... European radiology 30, 6263-6273, 2020 | 84 | 2020 |
| FDG-PET/CT findings highly suspicious for COVID-19 in an Italian case series of asymptomatic patients L Setti, M Kirienko, SC Dalto, M Bonacina, E Bombardieri European Journal of Nuclear Medicine and Molecular Imaging 47, 1649-1656, 2020 | 84 | 2020 |
| Convolutional neural networks promising in lung cancer T-parameter assessment on baseline FDG-PET/CT M Kirienko, M Sollini, G Silvestri, S Mognetti, E Voulaz, L Antunovic, ... Contrast Media & Molecular Imaging 2018, 2018 | 82 | 2018 |
| Imaging biomarkers in prostate cancer: role of PET/CT and MRI M Picchio, P Mapelli, V Panebianco, P Castellucci, E Incerti, A Briganti, ... European journal of nuclear medicine and molecular imaging 42, 644-655, 2015 | 71 | 2015 |
| [18F]FDG PET/CT features for the molecular characterization of primary breast tumors L Antunovic, F Gallivanone, M Sollini, A Sagona, A Invento, G Manfrinato, ... European journal of nuclear medicine and molecular imaging 44, 1945-1954, 2017 | 70 | 2017 |
| PET/CT radiomics in breast cancer: Mind the step M Sollini, L Cozzi, G Ninatti, L Antunovic, L Cavinato, A Chiti, M Kirienko Methods 188, 122-132, 2021 | 68 | 2021 |
| Radiomics and gene expression profile to characterise the disease and predict outcome in patients with lung cancer M Kirienko, M Sollini, M Corbetta, E Voulaz, N Gozzi, M Interlenghi, ... European journal of nuclear medicine and molecular imaging 48, 3643-3655, 2021 | 66 | 2021 |
| Imaging-based prediction of molecular therapy targets in NSCLC by radiogenomics and AI approaches: a systematic review G Ninatti, M Kirienko, E Neri, M Sollini, A Chiti Diagnostics 10 (6), 359, 2020 | 63 | 2020 |
| Computed tomography based radiomic signature as predictive of survival and local control after stereotactic body radiation therapy in pancreatic carcinoma L Cozzi, T Comito, A Fogliata, C Franzese, D Franceschini, C Bonifacio, ... PloS one 14 (1), e0210758, 2019 | 63 | 2019 |
| Clinical use of PET-CT data for radiotherapy planning: what are we looking for? A Chiti, M Kirienko, V Grégoire Radiotherapy and Oncology 96 (3), 277-279, 2010 | 63 | 2010 |
| Computed tomography (CT)-derived radiomic features differentiate prevascular mediastinum masses as thymic neoplasms versus lymphomas M Kirienko, G Ninatti, L Cozzi, E Voulaz, N Gennaro, I Barajon, F Ricci, ... La radiologia medica 125, 951-960, 2020 | 61 | 2020 |
Martina SolliniHumanitas UniversityVerified email at cancercenter.humanitas.it
