Rosa Sicilia

Assistant Professor (RTDA)

Università Campus Bio-Medico di Roma

Italy

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About

Rosa Sicilia is an Assistant Professor (RTDA) at Università Campus Bio-Medico di Roma in Italy. Her research focuses on machine learning applications in medical imaging and cancer diagnostics, with recent articles exploring topics such as radiomics, time series analysis, and multimodal learning. She has contributed significantly to advancements in the classification of clinical conditions, particularly in prostate and lung cancer.

Articles (8)

Year:

2024

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2023

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2023

Year:

2023

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2022

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2021

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ITALY

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Paolo Soda

Visiting professor

Umeå Universitet

SWEDEN

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Rosa Sicilia

Research Interests

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Articles (8)

Translating Image XAI to Multivariate Time Series

Radiomic Machine-Learning Analysis of Multiparametric Magnetic Resonance Imaging in the Diagnosis of Clinically Significant Prostate Cancer: New Combination of Textural and Clinical Features

RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy

A Cascade of Learners for Firemen’ Emergency Events Classification

A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer

Grasping Inter-Attribute and Temporal Variability in Multivariate Time Series

3T MRI-Radiomic Approach to Predict for Lymph Node Status in Breast Cancer Patients

Radiomics-Based Prediction of Overall Survival in Lung Cancer Using Different Volumes-Of-Interest

Collaborators (6)

Sara Ramella

Giulio Iannello

Matteo Tortora

Michele Fiore

Lorenzo Ricciardi Celsi

Paolo Soda

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