| Radiomics and magnetic resonance imaging of rectal cancer: from engineering to clinical practice F Coppola, V Giannini, M Gabelloni, J Panic, A Defeudis, S Lo Monaco, ... Diagnostics 11 (5), 756, 2021 | 50 | 2021 |
| Impact of inter-reader contouring variability on textural radiomics of colorectal liver metastases F Rizzetto, F Calderoni, C De Mattia, A Defeudis, V Giannini, S Mazzetti, ... European radiology experimental 4, 1-12, 2020 | 40 | 2020 |
| Radiomics predicts response of individual HER2‐amplified colorectal cancer liver metastases in patients treated with HER2‐targeted therapy V Giannini, S Rosati, A Defeudis, G Balestra, L Vassallo, G Cappello, ... International journal of cancer 147 (11), 3215-3223, 2020 | 39 | 2020 |
| MRI-based radiomics to predict response in locally advanced rectal cancer: comparison of manual and automatic segmentation on external validation in a multicentre study A Defeudis, S Mazzetti, J Panic, M Micilotta, L Vassallo, G Giannetto, ... European Radiology Experimental 6 (1), 19, 2022 | 29 | 2022 |
| Delta-radiomics predicts response to first-line oxaliplatin-based chemotherapy in colorectal cancer patients with liver metastases V Giannini, L Pusceddu, A Defeudis, G Nicoletti, G Cappello, S Mazzetti, ... Cancers 14 (1), 241, 2022 | 26 | 2022 |
| A Convolutional Neural Network based system for Colorectal cancer segmentation on MRI images J Panic, A Defeudis, S Mazzetti, S Rosati, G Giannetto, L Vassallo, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 24 | 2020 |
| A fully automatic artificial intelligence system able to detect and characterize prostate cancer using multiparametric MRI: multicenter and multi-scanner validation V Giannini, S Mazzetti, A Defeudis, G Stranieri, M Calandri, E Bollito, ... Frontiers in Oncology 11, 718155, 2021 | 23 | 2021 |
| Standardization of CT radiomics features for multi-center analysis: impact of software settings and parameters A Defeudis, C De Mattia, F Rizzetto, F Calderoni, S Mazzetti, A Torresin, ... Physics in Medicine & Biology 65 (19), 195012, 2020 | 23 | 2020 |
| Liver metastases: The role of magnetic resonance imaging C Maino, F Vernuccio, R Cannella, F Cortese, PN Franco, C Gaetani, ... World Journal of Gastroenterology 29 (36), 5180, 2023 | 14 | 2023 |
| An innovative radiomics approach to predict response to chemotherapy of liver metastases based on CT images V Giannini, A Defeudis, S Rosati, G Cappello, S Mazzetti, J Panic, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 14 | 2020 |
| Normalization strategies in multi-center radiomics abdominal MRI: systematic review and meta-analyses J Panic, A Defeudis, G Balestra, V Giannini, S Rosati IEEE open journal of engineering in medicine and biology 4, 67-76, 2023 | 9 | 2023 |
| Comparison of radiomics approaches to predict resistance to 1st line chemotherapy in liver metastatic colorectal cancer A Defeudis, L Cefaloni, G Giannetto, G Cappello, F Rizzetto, J Panic, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 8 | 2021 |
| Deep learning model for automatic prostate segmentation on bicentric T2w images with and without endorectal coil D Barra, G Nicoletti, A Defeudis, S Mazzetti, J Panic, M Gatti, R Faletti, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 7 | 2021 |
| Deep learning to segment liver metastases on CT images: Impact on a radiomics method to predict response to chemotherapy V Giannini, A Defeudis, S Rosati, G Cappello, L Vassallo, S Mazzetti, ... 2020 IEEE International Symposium on Medical Measurements and Applications …, 2020 | 6 | 2020 |
| Virtual biopsy in abdominal pathology: where do we stand? A Defeudis, J Panic, G Nicoletti, S Mazzetti, V Giannini, D Regge BJR| Open 5 (1), 20220055, 2023 | 5 | 2023 |
| A fully automatic deep learning algorithm to segment rectal Cancer on MR images: a multi-center study J Panic, A Defeudis, S Mazzetti, S Rosati, G Giannetto, M Micilotta, ... 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 5 | 2022 |
| Virtual biopsy in prostate cancer: can machine learning distinguish low and high aggressive tumors on MRI? G Nicoletti, D Barra, A Defeudis, S Mazzetti, M Gatti, R Faletti, F Russo, ... 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 4 | 2021 |
| Development and validation of a clinical decision support system based on PSA, microRNAs, and MRI for the detection of prostate cancer S Mazzetti, A Defeudis, G Nicoletti, G Chiorino, S De Luca, R Faletti, ... European Radiology, 1-10, 2024 | 1 | 2024 |
| A Deep Learning model to segment liver metastases on CT images acquired at different time-points during chemotherapy A Defeudis, J Panic, W Guzzinati, L Pusceddu, L Vassallo, D Regge, ... 2022 IEEE International Symposium on Medical Measurements and Applications …, 2022 | 1 | 2022 |
| Radiomics features on CT scans to predict response to HER2-targeted therapy of hepatic metastases from colorectal cancer. V Giannini, S Mazzetti, A Defeudis, G Cappello, L Vassallo, A Vanzulli, ... Journal of Clinical Oncology 37 (15_suppl), e15086-e15086, 2019 | 1 | 2019 |
