Loli Piccolomini, Elena; Evangelista, Davide; Morotti, Elena, Deep Guess acceleration for explainable image reconstruction in sparse-view CT, «COMPUTERIZED MEDICAL IMAGING AND GRAPHICS», 2025, 123, Article number: 102530 , pp. 1 - 12 [Scientific article]
Morotti, Elena; Evangelista, Davide; Loli Piccolomini, Elena, Robust Non-convex Model-Based Approach for Deep Learning-Based Image Processing, in: Numerical Computations: Theory and Algorithms, Cham, Springer Nature Switzerland, 2025, pp. 360 - 367 (LECTURE NOTES IN COMPUTER SCIENCE) [Chapter or essay]
Evangelista, D.; Piccolomini, E. L.; Morotti, E.; Nagy, J. G., TO BE OR NOT TO BE STABLE, THAT IS THE QUESTION: UNDERSTANDING NEURAL NETWORKS FOR INVERSE PROBLEMS, «SIAM JOURNAL ON SCIENTIFIC COMPUTING», 2025, 47, pp. 77 - 99 [Scientific article]
Merizzi, Fabio; Saillard, Perrine; Acquier, Oceane; Morotti, Elena; Piccolomini, Elena Loli; Calatroni, Luca; Dessì, Rosa Maria, Deep image prior inpainting of ancient frescoes in the Mediterranean Alpine arc, «HERITAGE SCIENCE», 2024, 12, Article number: 41 , pp. 1 - 22 [Scientific article]Open Access
Morotti, Elena; Merizzi, Fabio; Evangelista, Davide; Cascarano, Pasquale, Inpainting with style: forcing style coherence to image inpainting with deep image prior, «FRONTIERS IN COMPUTER SCIENCE», 2024, 6, pp. 1 - 14 [Scientific article]Open Access
Evangelista D.; Morotti E.; Piccolomini E.L.; Nagy J., Ambiguity in Solving Imaging Inverse Problems with Deep-Learning-Based Operators, «JOURNAL OF IMAGING», 2023, 9, Article number: 133 , pp. 1 - 15 [Scientific article]Open Access
Evangelista, D.; Morotti, E.; Loli Piccolomini, E., RISING: A new framework for model-based few-view CT image reconstruction with deep learning, «COMPUTERIZED MEDICAL IMAGING AND GRAPHICS», 2023, 103, Article number: 102156 , pp. 1 - 8 [Scientific article]Open Access
Morotti, Elena; Stacchio, Lorenzo; Donatiello, Lorenzo; Roccetti, Marco; Tarabelli, Jari; Marfia, Gustavo, Exploiting fashion x-commerce through the empowerment of voice in the fashion virtual reality arena. Integrating voice assistant and virtual reality technologies for fashion communication, «VIRTUAL REALITY», 2022, 26, pp. 871 - 884 [Scientific article]Open Access
Pasquale Cascarano; Elena Loli Piccolomini; Elena Morotti; Andrea Sebastiani, Plug-and-Play gradient-based denoisers applied to CT image enhancement, «APPLIED MATHEMATICS AND COMPUTATION», 2022, 422, Article number: 126967 , pp. 1 - 15 [Scientific article]Open Access
Elena Morotti; Elena Loli Piccolomini, Sparse Regularized CT Reconstruction: An Optimization Perspective, in: Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, Liverpol, Ke Chen, 2022, pp. 1 - 34 [Chapter or essay]
Morotti, E; Piccolomini, El, Sparse Regularized CT Reconstruction: An Optimization Perspective, in: Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging: Mathematical Imaging and Vision, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, SPRINGER INTERNATIONAL PUBLISHING AG, 2022, pp. 551 - 584 [Chapter or essay]
Morotti E.; Evangelista D.; Loli Piccolomini E., A green prospective for learned post-processing in sparse-view tomographic reconstruction, «JOURNAL OF IMAGING», 2021, 7, Article number: 139 , pp. 1 - 14 [Scientific article]Open Access
Loli Piccolomini E.; Morotti E., A model-based optimization framework for iterative digital breast tomosynthesis image reconstruction, «JOURNAL OF IMAGING», 2021, 7, Article number: 36 , pp. 1 - 20 [Scientific article]Open Access
Morotti E.; Donatiello L.; Marfia G., Fostering fashion retail experiences through virtual reality and voice assistants, in: Proceedings - 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020, Institute of Electrical and Electronics Engineers Inc., 2020, pp. 338 - 342 (atti di: 2020 IEEE Conference on Virtual Reality and 3D User Interfaces, VRW 2020, usa, 2020) [Contribution to conference proceedings]
R. Cavicchioli, J. Cheng Hu, E. Loli Piccolomini, E. Morotti, L. Zanni, GpU acceleration of a model-based iterative method for Digital Breast tomosynthesis, «SCIENTIFIC REPORTS», 2020, 10, pp. 1 - 10 [Scientific article]Open Access
