| Convolutional neural networks for the segmentation of microcalcification in mammography imaging G Valvano, G Santini, N Martini, A Ripoli, C Iacconi, D Chiappino, ... Journal of healthcare engineering 2019, 2019 | 71 | 2019 |
| An automatic deep learning approach for coronary artery calcium segmentation G Santini, DD Latta, N Martini, G Valvano, A Gori, A Ripoli, CL Susini, ... European Medical and Biological Engineering Confernce, 374-377, 2017 | 39 | 2017 |
| Kidney tumor segmentation using an ensembling multi-stage deep learning approach. A contribution to the KiTS19 challenge G Santini, N Moreau, M Rubeaux arXiv preprint arXiv:1909.00735, 2019 | 28 | 2019 |
| Deep learning approaches for bone and bone lesion segmentation on 18FDG PET/CT imaging in the context of metastatic breast cancer* N Moreau, C Rousseau, C Fourcade, G Santini, L Ferrer, M Lacombe, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 26 | 2020 |
| Synthetic contrast enhancement in cardiac CT with Deep Learning G Santini, LM Zumbo, N Martini, G Valvano, A Leo, A Ripoli, F Avogliero, ... arXiv preprint arXiv:1807.01779, 2018 | 19 | 2018 |
| Automatic Segmentation of Metastatic Breast Cancer Lesions on 18F-FDG PET/CT Longitudinal Acquisitions for Treatment Response Assessment N Moreau, C Rousseau, C Fourcade, G Santini, A Brennan, L Ferrer, ... Cancers 14 (1), 101, 2021 | 17 | 2021 |
| Evaluation of a Deep Convolutional Neural Network method for the segmentation of breast microcalcifications in Mammography Imaging G Valvano, D Della Latta, N Martini, G Santini, A Gori, C Iacconi, A Ripoli, ... EMBEC & NBC 2017: Joint Conference of the European Medical and Biological …, 2018 | 17 | 2018 |
| Unpaired PET/CT image synthesis of liver region using CycleGAN G Santini, C Fourcade, N Moreau, C Rousseau, L Ferrer, M Lacombe, ... 16th International Symposium on Medical Information Processing and Analysis …, 2020 | 8 | 2020 |
| Combining Superpixels and Deep Learning Approaches to Segment Active Organs in Metastatic Breast Cancer PET Images* C Fourcade, L Ferrer, G Santini, N Moreau, C Rousseau, M Lacombe, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 7 | 2020 |
| Deformable image registration with deep network priors: a study on longitudinal PET images C Fourcade, L Ferrer, N Moreau, G Santini, A Brennan, C Rousseau, ... Physics in Medicine & Biology 67 (15), 155011, 2022 | 5 | 2022 |
| Comparison between threshold-based and deep learning-based bone segmentation on whole-body CT images N Moreau, C Rousseau, C Fourcade, G Santini, L Ferrer, M Lacombe, ... Medical Imaging 2021: Computer-Aided Diagnosis 11597, 661-667, 2021 | 5 | 2021 |
| Synthetic contrast enhancement in cardiac CT with deep learning,(2018) 1–8 G Santini, LM Zumbo, N Martini, G Valvano, A Leo, A Ripoli, F Avogliero, ... | 5 | 1779 |
| Deep Learning for pericardial fat extraction and evaluation on a population study G Santini, DD Latta, A Vatti, A Ripoli, S Chiappino, V Piagneri, ... MedRxiv, 2020.01. 30.20019109, 2020 | 3 | 2020 |
| Training of a Skull-Stripping Neural Network with efficient data augmentation G Valvano, N Martini, A Leo, G Santini, D Della Latta, E Ricciardi, ... arXiv preprint arXiv:1810.10853, 2018 | 3 | 2018 |
| Unsupervised data selection for supervised learning G Valvano, A Leo, D Della Latta, N Martini, G Santini, D Chiappino, ... arXiv preprint arXiv:1810.12142, 2018 | 2 | 2018 |
| Influence of inputs for bone lesion segmentation in longitudinal 18F-FDG PET/CT imaging studies N Moreau, C Rousseau, C Fourcade, G Santini, L Ferrer, M Lacombe, ... 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 1 | 2022 |
| Segmentation automatique des métastases hépatiques en imagerie tep/tdm basée sur l’apprentissage profond dans le cadre du cancer du sein métastatique G Santini, C Fourcade, C Rousseau, L Ferrer, M Campone, M Colombié, ... Médecine Nucléaire 44 (2), 135, 2020 | 1 | 2020 |
| Robust reconstruction of cardiac T1 maps using RNNs N Martini, A Vatti, A Ripoli, S Salaris, G Santini, MF Santarelli, ... arXiv preprint arXiv:1907.12454, 2019 | 1 | 2019 |
| Intercostal Space Prediction Using Deep Learning In Fully Endoscopic Mitral Valve Surgery R Margaryan, DD Latta, G Bianchi, N Martini, G Santini, D Chiappino, ... bioRxiv, 710996, 2019 | 1 | 2019 |
| Automatic AHA model segmentation of cardiac T1 maps with deep learning N Martini, D Della Latta, G Santini, G Valvano, A Barison, F Avogliero, ... Proc Intl Soc Mag Reson Med 26, 1047, 2018 | 1 | 2018 |
Daniele Della LattaData Scientist, Terarecon Inc.Email verificata su terarecon.com
