SARA MOCCIA

Assistant Professor

Scuola Superiore Sant'Anna

Italy

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About

Dr. Sara Moccia is an Assistant Professor at Scuola Superiore Sant'Anna in Italy. Her research focuses on the application of artificial intelligence and machine learning in healthcare, with recent articles exploring topics such as neuromodulation, skin cancer screening, and cognitive functional decline detection in older adults. She is also involved in innovative methodologies for analyzing medical imaging and speech disorders using advanced technologies.

Articles (18)

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2025

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2025

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2024

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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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2022

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2022

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2021

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2021

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2021

Collaborators (10)

Jonathan Gomez-Raja

Chief Scientific Officer

Junta de Extremadura

SPAIN

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Simona Tiribelli

Massachusetts Institute of Technology

UNITED STATES

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Enrico Caiani

Istituto Auxologico Italiano

ITALY

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Professore Ordinario

University of Brescia

ITALY

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SARA MOCCIA

Research Interests

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Articles (18)

Building hybrid models of neuromodulation from automatic segmentation of peripheral nerve histological sections

Estimating shear modulus of isotropic materials from scanning laser Doppler vibrometry via convolutional neural networks

A Thermal-Imaging System and Machine-Learning Classification Algorithm for Skin Cancer Screening

Online Knowledge Distillation and Deep Supervision in HRNet: Green AI for Preterm Infants’ Pose Estimation

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

Real‐Time Laryngeal Cancer Boundaries Delineation on White Light and Narrow‐Band Imaging Laryngoscopy with Deep Learning

On the use of contrastive learning for standard-plane classification in fetal ultrasound imaging

Automatic Spontaneous Speech Analysis for the Detection of Cognitive Functional Decline in Older Adults: Multilanguage Cross-Sectional Study

A token-mixer architecture for CAD-RADS classification of coronary stenosis on multiplanar reconstruction CT images

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

Accountable Deep-Learning-Based Vision Systems for Preterm Infant Monitoring

Convolutional neural network classifies visual stimuli from cortical response recorded with wide-field imaging in mice

Artificial Intelligence for Upper Aerodigestive Tract Endoscopy and Laryngoscopy: A Guide for Physicians and State‐of‐the‐Art Review

Development of a convolutional neural network for the identification and the measurement of the median nerve on ultrasound images acquired at carpal tunnel level

A deep-learning framework for metacarpal-head cartilage-thickness estimation in ultrasound rheumatological images

Automated left and right ventricular chamber segmentation in cardiac magnetic resonance images using dense fully convolutional neural network

Mask-R$$^{2}$$CNN: a distance-field regression version of Mask-RCNN for fetal-head delineation in ultrasound images

Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients

Collaborators (10)

Jonathan Gomez-Raja

Simona Tiribelli

Enrico Caiani

Marco Penso

Adriano Mancini

Gastone CIUTI

Silvestro Micera

Emanuele Frontoni

Tommaso Pizzorusso

Cesare PIAZZA

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