ELENA MOROTTI

Junior assistant professor

University of Bologna

Italy

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About

Elena Morotti is a Junior Assistant Professor at the University of Bologna, Italy. Her research focuses on the application of deep learning techniques in imaging, particularly in areas such as image inpainting, medical imaging reconstruction, and behavioral data analysis in motor insurance. Recent articles include works on telematics in driving style improvement and advanced methods for solving imaging inverse problems.

Articles (16)

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2025

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2020

Collaborators (4)

Roberto Cavicchioli

University of Modena and Reggio Emilia

ITALY

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Elena ESPOSITO

University of Bologna

ITALY

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Andrea Sebastiani

University of Bologna

ITALY

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Gustavo Marfia

University of Bologna

ITALY

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ELENA MOROTTI

Research Interests

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Articles (16)

Can Telematics Improve Driving Style? The Use of Behavioral Data in Motor Insurance

Inpainting with style: forcing style coherence to image inpainting with deep image prior

Deep image prior inpainting of ancient frescoes in the Mediterranean Alpine arc

Ambiguity in Solving Imaging Inverse Problems with Deep-Learning-Based Operators

RISING: A new framework for model-based few-view CT image reconstruction with deep learning

Ambiguity in Solving Imaging Inverse Problems with Deep-Learning-Based Operators

RISING: A new framework for model-based few-view CT image reconstruction with deep learning

Plug-and-Play gradient-based denoisers applied to CT image enhancement

Plug-and-Play gradient-based denoisers applied to CT image enhancement

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

Sparse Regularized CT Reconstruction: An Optimization Perspective

Exploiting fashion x-commerce through the empowerment of voice in the fashion virtual reality arena

A Green Prospective for Learned Post-Processing in Sparse-View Tomographic Reconstruction

A Model-Based Optimization Framework for Iterative Digital Breast Tomosynthesis Image Reconstruction

A Green Prospective for Learned Post-Processing in Sparse-View Tomographic Reconstruction

GPU acceleration of a model-based iterative method for Digital Breast Tomosynthesis

Collaborators (4)

Roberto Cavicchioli

Elena ESPOSITO

Andrea Sebastiani

Gustavo Marfia

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