| 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 | 44 | 2021 |
| 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 | 18 | 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 | 17 | 2022 |
| 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 | 10 | 2020 |
| 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 | 6 | 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 | 5 | 2021 |
| 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 | 4 | 2023 |
| 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, 2023 | 4 | 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 | 3 | 2022 |
| 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 | 3 | 2020 |
| Could normalization improve robustness of abdominal MRI radiomic features? V Giannini, J Panic, D Regge, G Balestra, S Rosati Biomedical Physics & Engineering Express 9 (5), 055002, 2023 | 2 | 2023 |
| Comparison of different classifiers to recognize active bone marrow from CT images S Rosati, P Franco, C Fiandra, F Arcadipane, P Silvetti, E Gallio, J Panic, ... 2020 IEEE International Symposium on Medical Measurements and Applications …, 2020 | 2 | 2020 |
| How to Design, Implement, and Validate MRI-based Artificial Intelligence Systems for Oncological applications J Panic Politecnico di Torino, 2024 | | 2024 |
| Comparison between Different Approaches for the Creation of the Training Set: How Clustering and Dimensionality Impact the Performance of a Deep Learning Model J Panic, A Defeudis, D Regge, G Balestra, S Rosati, V Giannini 2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering …, 2023 | | 2023 |
| 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 | | 2022 |
| Impact of network parameters on a U-Net based system for rectal cancer segmentation on MR images J Panic, V Giannini, A Defeudis, D Regge, G Balestra, S Rosati 2022 IEEE International Symposium on Medical Measurements and Applications …, 2022 | | 2022 |
| Colorectal cancer segmentation on MRI images using Convolutional Neural Networks J Panic Politecnico di Torino, 2019 | | 2019 |
