Fostering fashion retail experiences through virtual reality and voice assistants E Morotti, L Donatiello, G Marfia 2020 IEEE conference on virtual reality and 3D user interfaces abstracts and …, 2020 | 43 | 2020 |
Exploiting fashion x-commerce through the empowerment of voice in the fashion virtual reality arena: Integrating voice assistant and virtual reality technologies for fashion … E Morotti, L Stacchio, L Donatiello, M Roccetti, J Tarabelli, G Marfia Virtual Reality, 1-14, 2022 | 35 | 2022 |
Exploiting immersive virtual reality for fashion gamification L Donatiello, E Morotti, G Marfia, S Di Vaio 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile …, 2018 | 28 | 2018 |
A fast total variation-based iterative algorithm for digital breast tomosynthesis image reconstruction EL Piccolomini, E Morotti Journal of Algorithms & Computational Technology 10 (4), 277-289, 2016 | 28 | 2016 |
Plug-and-Play gradient-based denoisers applied to CT image enhancement P Cascarano, EL Piccolomini, E Morotti, A Sebastiani Applied Mathematics and Computation 422, 126967, 2022 | 24 | 2022 |
Reconstruction of 3D X-ray CT images from reduced sampling by a scaled gradient projection algorithm EL Piccolomini, VL Coli, E Morotti, L Zanni Computational Optimization and Applications 71, 171-191, 2018 | 18 | 2018 |
A green prospective for learned post-processing in sparse-view tomographic reconstruction E Morotti, D Evangelista, E Loli Piccolomini Journal of Imaging 7 (8), 139, 2021 | 16 | 2021 |
RISING: A new framework for model-based few-view CT image reconstruction with deep learning D Evangelista, E Morotti, EL Piccolomini Computerized Medical Imaging and Graphics 103, 102156, 2023 | 11 | 2023 |
A model-based optimization framework for iterative digital breast tomosynthesis image reconstruction EL Piccolomini, E Morotti Journal of imaging 7 (2), 2021 | 11 | 2021 |
GPU acceleration of a model-based iterative method for Digital Breast Tomosynthesis R Cavicchioli, JC Hu, E Loli Piccolomini, E Morotti, L Zanni Scientific reports 10 (1), 43, 2020 | 10 | 2020 |
A fast gradient projection method for 3D image reconstruction from limited tomographic data VL Coli, EL Piccolomini, E Morotti, L Zanni Journal of Physics: Conference Series 904 (1), 012013, 2017 | 8 | 2017 |
Ambiguity in solving imaging inverse problems with deep learning based operators D Evangelista, E Morotti, E Loli Piccolomini, J Nagy Journal of Imaging 9 (7), 2023 | 3 | 2023 |
Sparse Regularized CT Reconstruction: An Optimization Perspective E Morotti, E Loli Piccolomini Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, 2022 | 1 | 2022 |
Rising a new framework for few-view tomographic image reconstruction with deep learning D Evangelista, E Morotti, EL Piccolomini arXiv preprint arXiv:2201.09777, 2022 | 1 | 2022 |
Plug-and-Play external and internal priors for image restoration. P Cascarano, EL Piccolomini, E Morotti, A Sebastiani arXiv preprint arXiv:2102.07510, 2021 | 1 | 2021 |
Reconstruction of 3D X-ray CT images from reduced sampling by a scaled gradient projection algorithm VL Coli, EL Piccolomini, E Morotti, L Zanni Computational Optimization and Applications, accepted for pubblication, 0 | 1 | |
Optimization methods for very accurate Digital Breast Tomosynthesis image reconstruction E Morotti, EL Piccolomini arXiv preprint arXiv:2007.10039, 2020 | | 2020 |
Tecniche di regolarizzazione per analisi perfusionali da immagini tomografiche EL PICCOLOMINI, E MOROTTI | | |
Metodi numerici per la segmentazione di immagini digitali E Morotti | | |
Metodi numerici per la segmentazione di immagini digitali EL PICCOLOMINI, E MOROTTI | | |