| Chatbots Meet eHealth: Automatizing Healthcare. F Amato, S Marrone, V Moscato, G Piantadosi, A Picariello, C Sansone WAIAH@ AI* IA, 40-49, 2017 | 117 | 2017 |
| 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 | 80 | 2020 |
| The Kubic FLOTAC microscope (KFM): a new compact digital microscope for helminth egg counts G Cringoli, A Amadesi, MP Maurelli, B Celano, G Piantadosi, A Bosco, ... Parasitology 148 (4), 427-434, 2021 | 42 | 2021 |
| 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 | 40 | 2018 |
| 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 | 40 | 2018 |
| 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 | 38 | 2019 |
| 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 | 30* | 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 | 29 | 2019 |
| Automatic lesion detection in breast DCE-MRI S Marrone, G Piantadosi, R Fusco, A Petrillo, M Sansone, C Sansone Image Analysis and Processing–ICIAP 2013: 17th International Conference …, 2013 | 28 | 2013 |
| 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 Image Analysis and Processing-ICIAP 2017: 19th International Conference …, 2017 | 27 | 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 | 27 | 2016 |
| 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 | 18 | 2019 |
| 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 | 17 | 2014 |
| 3TP-CNN: radiomics and deep learning for lesions classification in DCE-MRI M Gravina, S Marrone, G Piantadosi, M Sansone, C Sansone Image Analysis and Processing–ICIAP 2019: 20th International Conference …, 2019 | 14 | 2019 |
| On reproducibility of deep convolutional neural networks approaches G Piantadosi, S Marrone, C Sansone Reproducible Research in Pattern Recognition: Second International Workshop …, 2019 | 14 | 2019 |
| 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 | 14 | 2015 |
| 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, 173-187, 2015 | 11 | 2015 |
| LBP-TOP for volume lesion classification in breast DCE-MRI G Piantadosi, R Fusco, A Petrillo, M Sansone, C Sansone Image Analysis and Processing—ICIAP 2015: 18th International Conference …, 2015 | 11 | 2015 |
| A secure osirix plug-in for detecting suspicious lesions in breast dce-mri G Piantadosi, S Marrone, M Sansone, C Sansone Algorithms and Architectures for Parallel Processing: 13th International …, 2013 | 9 | 2013 |
| A pipelined tracer-aware approach for lesion segmentation in breast DCE-MRI A Galli, S Marrone, G Piantadosi, M Sansone, C Sansone Journal of imaging 7 (12), 276, 2021 | 8 | 2021 |
Carlo SansoneFull Professor, Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'InformazioneEmail verificata su unina.it
