activity
20142023
most citedA Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis

199 citations · 338 across the 10 of their papers we have counts for

collaborators

10 papers

cs.AI2023★ 11 cited

A store-and-forward cloud-based telemonitoring system for automatic assessing dysarthria evolution in neurological diseases from video-recording analysis

Lucia Migliorelli, Daniele Berardini, Kevin Cela +4

Background and objectives: Patients suffering from neurological diseases may develop dysarthria, a motor speech disorder affecting the execution of speech. Close and quantitative m…

cs.MM2023★ 11 cited

A New Technique of the Virtual Reality Visualization of Complex Volume Images from the Computer Tomography and Magnetic Resonance Imaging

Iva Vasic, Roberto Pierdicca, Emanuele Frontoni +1

This paper presents a new technique for the virtual reality (VR) visu-alization of complex volume images obtained from computer tomography (CT) and Magnetic Resonance Imaging (MRI)…

cs.CY2022★ 6 cited

Trusted Data Forever: Is AI the Answer?

Emanuele Frontoni, Marina Paolanti, Tracey P. Lauriault +3

Archival institutions and programs worldwide work to ensure that the records of governments, organizations, communities, and individuals are preserved for future generations as cul…

eess.IV2022★ 199 cited

A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis

Maria Chiara Fiorentino, Francesca Pia Villani, Mariachiara Di Cosmo +2

Deep-learning (DL) algorithms are becoming the standard for processing ultrasound (US) fetal images. Despite a large number of survey papers already present in this field, most of…

cs.CV2021★ 36 cited

Real-Time Human Pose Estimation on a Smart Walker using Convolutional Neural Networks

Manuel Palermo, Sara Moccia, Lucia Migliorelli +2

Rehabilitation is important to improve quality of life for mobility-impaired patients. Smart walkers are a commonly used solution that should embed automatic and objective tools fo…

eess.IV2020★ 4 cited

Comparison of different CNNs for breast tumor classification from ultrasound images

Jorge F. Lazo, Sara Moccia, Emanuele Frontoni +1

Breast cancer is one of the deadliest cancer worldwide. Timely detection could reduce mortality rates. In the clinical routine, classifying benign and malignant tumors from ultraso…