| Automatic lesion detection in breast DCE-MRI S Marrone, G Piantadosi, R Fusco, A Petrillo, M Sansone, C Sansone International conference on image analysis and processing, 359-368, 2013 | 21 | 2013 |
| Chatbots Meet eHealth: Automatizing Healthcare. F Amato, S Marrone, V Moscato, G Piantadosi, A Picariello, C Sansone WAIAH@ AI* IA, 40-49, 2017 | 19 | 2017 |
| Machine learning applications in head and neck radiation oncology: lessons from open-source radiomics challenges H Elhalawani, TA Lin, S Volpe, ASR Mohamed, AL White, J Zafereo, ... Frontiers in oncology 8, 294, 2018 | 18 | 2018 |
| An investigation of deep learning for lesions malignancy classification in breast DCE-MRI S Marrone, G Piantadosi, R Fusco, A Petrillo, M Sansone, C Sansone International Conference on Image Analysis and Processing, 479-489, 2017 | 13 | 2017 |
| Breast segmentation using Fuzzy C-Means and anatomical priors in DCE-MRI S Marrone, G Piantadosi, R Fusco, A Petrillo, M Sansone, C Sansone 2016 23rd International Conference on Pattern Recognition (ICPR), 1472-1477, 2016 | 12 | 2016 |
| A novel model-based measure for quality evaluation of image registration techniques in DCE-MRI S Marrone, G Piantadosi, R Fusco, A Petrillo, M Sansone, C Sansone 2014 IEEE 27th International Symposium on Computer-Based Medical Systems …, 2014 | 12 | 2014 |
| A Comprehensive Computer-Aided Diagnosis for Breast T1w DCE-MRI via Quantitative Dynamical Features and Spatio-Temporal Local Binary Patterns G Piantadosi, S Marrone, R Fusco, M Sansone, C Sansone IET Computer Vision, 2018 | 11* | 2018 |
| Breast segmentation in mri via u-net deep convolutional neural networks G Piantadosi, M Sansone, C Sansone 2018 24th International Conference on Pattern Recognition (ICPR), 3917-3922, 2018 | 9 | 2018 |
| HOLMeS: EHealth in the big data and deep learning era F Amato, S Marrone, V Moscato, G Piantadosi, A Picariello, C Sansone Information 10 (2), 34, 2019 | 8 | 2019 |
| A secure, scalable and versatile multi-layer client–server architecture for remote intelligent data processing G Piantadosi, S Marrone, M Sansone, C Sansone Journal of Reliable Intelligent Environments 1 (2-4), 173-187, 2015 | 8 | 2015 |
| LBP-TOP for volume lesion classification in breast DCE-MRI G Piantadosi, R Fusco, A Petrillo, M Sansone, C Sansone International Conference on Image Analysis and Processing, 647-657, 2015 | 8 | 2015 |
| A secure osirix plug-in for detecting suspicious lesions in breast dce-mri G Piantadosi, S Marrone, M Sansone, C Sansone International Conference on Algorithms and Architectures for Parallel …, 2013 | 8 | 2013 |
| Multi-planar 3D breast segmentation in MRI via deep convolutional neural networks G Piantadosi, M Sansone, R Fusco, C Sansone Artificial Intelligence in Medicine 103, 101781, 2020 | 7 | 2020 |
| Data-driven selection of motion correction techniques in breast DCE-MRI G Piantadosi, S Marrone, R Fusco, A Petrillo, M Sansone, C Sansone 2015 IEEE International Symposium on Medical Measurements and Applications …, 2015 | 7 | 2015 |
| On Reproducibility of Deep Convolutional Neural Networks Approaches G Piantadosi, S Marrone, C Sansone International Workshop on Reproducible Research in Pattern Recognition, 104-109, 2018 | 5 | 2018 |
| Reproducibility of Deep CNN for Biomedical Image Processing Across Frameworks and Architectures S Marrone, S Olivieri, G Piantadosi, C Sansone 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 4 | 2019 |
| 3TP-CNN: Radiomics and Deep Learning for Lesions Classification in DCE-MRI M Gravina, S Marrone, G Piantadosi, M Sansone, C Sansone International Conference on Image Analysis and Processing, 661-671, 2019 | 1 | 2019 |
| Evaluating Impacts of Motion Correction on Deep Learning Approaches for Breast DCE-MRI Segmentation and Classification A Galli, M Gravina, S Marrone, G Piantadosi, M Sansone, C Sansone International Conference on Computer Analysis of Images and Patterns, 294-304, 2019 | 1 | 2019 |
| DCE-MRI Breast Lesions Segmentation with a 3TP U-Net Deep Convolutional Neural Network G Piantadosi, S Marrone, A Galli, M Sansone, C Sansone 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems …, 2019 | 1 | 2019 |
| Look-up tables for efficient non-linear parameters estimation S Marrone, G Piantadosi, M Sansone, C Sansone International Conference on Optimization and Decision Science, 49-57, 2017 | 1 | 2017 |
Carlo SansoneFull Professor, Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'InformazioneEmail verificata su unina.it
