Rosa Sicilia

654 total citations
34 papers, 352 citations indexed

About

Rosa Sicilia is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rosa Sicilia has authored 34 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 16 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rosa Sicilia's work include Radiomics and Machine Learning in Medical Imaging (14 papers), AI in cancer detection (10 papers) and Lung Cancer Diagnosis and Treatment (6 papers). Rosa Sicilia is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (14 papers), AI in cancer detection (10 papers) and Lung Cancer Diagnosis and Treatment (6 papers). Rosa Sicilia collaborates with scholars based in Italy, Sweden and United States. Rosa Sicilia's co-authors include Paolo Soda, Ermanno Cordelli, Mykola Pechenizkiy, Giulio Iannello, Yulong Pei, Sara Ramella, Valerio Guarrasi, Michele Fiore, Mario Merone and Natascha Claudia D’Amico and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Rosa Sicilia

30 papers receiving 348 citations

Peers

Countries citing papers authored by Rosa Sicilia

Since Specialization

Citations

This map shows the geographic impact of Rosa Sicilia's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Rosa Sicilia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rosa Sicilia more than expected).

Fields of papers citing papers by Rosa Sicilia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rosa Sicilia. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Rosa Sicilia. The network helps show where Rosa Sicilia may publish in the future.

Co-authorship network of co-authors of Rosa Sicilia

This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Sicilia. A scholar is included among the top collaborators of Rosa Sicilia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rosa Sicilia. Rosa Sicilia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Class balancing diversity multimodal ensemble for Alzheimer’s disease diagnosis and early detection 2025 ·Computerized Medical Imaging and Graphics ·(unknown), Lazzaro di Biase, Donato Cappetta, Fabrizio Rebecchi, Paolo Soda, Rosa Sicilia, Valerio Guarrasi	6
2	Hierarchical embedding attention for overall survival prediction in lung cancer from unstructured EHRs 2025 ·BMC Medical Informatics and Decision Making ·(unknown), Carlo Greco, Alessio Cortellini, Sara Ramella, Paolo Soda, Alessandro Bria, Rosa Sicilia	1
3	Deep learning for human locomotion analysis in lower-limb exoskeletons: a comparative study 2025 ·Frontiers in Computer Science ·(unknown), Christian Tamantini, (unknown), (unknown), Rosa Sicilia, Loredana Zollo, Paolo Soda	0
4	Translating Image XAI to Multivariate Time Series 2024 ·IEEE Access ·(unknown), Ermanno Cordelli, Lorenzo Ricciardi Celsi, (unknown), Massimo Natale, Paolo Soda, Rosa Sicilia	4
5	RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy 2023 ·IEEE Access ·(unknown), Ermanno Cordelli, Rosa Sicilia, (unknown), Edy Ippolito, Giuseppe Perrone, Sara Ramella, Paolo Soda	18
6	Deep pathomics: A new image-based tool for predicting response to treatment in stage III non-small cell lung cancer 2023 ·PLoS ONE ·(unknown), Carlo Greco, Ermanno Cordelli, Giovanna Sabarese, Michele Fiore, (unknown), Edy Ippolito, Rosa Sicilia, (unknown), (unknown), Chiara Taffon, Mehrdad Rakaee, Paolo Soda, Sara Ramella, Giuseppe Perrone	6
7	A Cascade of Learners for Firemen’ Emergency Events Classification 2023 ·IEEE Access ·(unknown), Paolo Soda, (unknown), (unknown), Rosa Sicilia	0
8	Radiomic Machine-Learning Analysis of Multiparametric Magnetic Resonance Imaging in the Diagnosis of Clinically Significant Prostate Cancer: New Combination of Textural and Clinical Features 2023 ·Current Oncology ·Francesco Prata, Umberto Anceschi, Ermanno Cordelli, Eliodoro Faiella, (unknown), (unknown), (unknown), Alberto Ragusa, Francesco Esperto, (unknown), Rosa Sicilia, Giovanni Muto, Rosario Francesco Grasso, Roberto Mario Scarpa, Paolo Soda, Giuseppe Simone, Rocco Papalia	18
9	Named Entity Recognition in Italian Lung Cancer Clinical Reports using Transformers 2023 ·(unknown), Alessandro Bria, Carlo Greco, Marco Russano, Sara Ramella, Paolo Soda, Rosa Sicilia	2
10	A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer 2022 ·Journal of Imaging ·(unknown), Valerio Guarrasi, Ermanno Cordelli, Rosa Sicilia, (unknown), (unknown), Michele Fiore, Claudia Lucia Piccolo, Bruno Beomonte Zobel, Giulio Iannello, Sara Ramella, Paolo Soda	18
11	3T MRI-Radiomic Approach to Predict for Lymph Node Status in Breast Cancer Patients 2021 ·Cancers ·Domiziana Santucci, Eliodoro Faiella, Ermanno Cordelli, Rosa Sicilia, Carlo de Felice, Bruno Beomonte Zobel, Giulio Iannello, Paolo Soda	26
12	Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays 2021 ·Pattern Recognition ·Valerio Guarrasi, Natascha Claudia D’Amico, Rosa Sicilia, Ermanno Cordelli, Paolo Soda	24
13	Deep Reinforcement Learning for Fractionated Radiotherapy in Non-Small Cell Lung Carcinoma 2021 ·Artificial Intelligence in Medicine ·(unknown), Ermanno Cordelli, Rosa Sicilia, (unknown), Paolo Matteucci, Giulio Iannello, Sara Ramella, Paolo Soda	16
14	A Multi-Expert System to Detect COVID-19 Cases in X-ray Images 2021 ·IRIS Research product catalog (Sapienza University of Rome) ·Valerio Guarrasi, Natascha Claudia D’Amico, Rosa Sicilia, Ermanno Cordelli, Paolo Soda	7
15	Radiomics-Based Prediction of Overall Survival in Lung Cancer Using Different Volumes-Of-Interest 2020 ·Applied Sciences ·Natascha Claudia D’Amico, Rosa Sicilia, Ermanno Cordelli, (unknown), Carlo Greco, Michele Fiore, (unknown), Giulio Iannello, Sara Ramella, Paolo Soda	13
16	Grasping Inter-Attribute and Temporal Variability in Multivariate Time Series 2019 ·IEEE Transactions on Big Data ·Paolo Soda, Rosa Sicilia, (unknown), Giulio Iannello	3
17	Twitter rumour detection in the health domain 2018 ·Expert Systems with Applications ·Rosa Sicilia, (unknown), Yulong Pei, Mykola Pechenizkiy, Paolo Soda	61
18	A radiomic approach for adaptive radiotherapy in non-small cell lung cancer patients 2018 ·PLoS ONE ·Sara Ramella, Michele Fiore, Carlo Greco, Ermanno Cordelli, Rosa Sicilia, Mario Merone, (unknown), (unknown), Patrizia Cornacchione, Edy Ippolito, Giulio Iannello, Rolando Maria D’Angelillo, Paolo Soda	48
19	Cross-topic Rumour Detection in the Health Domain 2018 ·Rosa Sicilia, Mario Merone, Roberto Valenti, Ermanno Cordelli, Federico D’Antoni, (unknown), (unknown), Sara Esposito, Paolo Soda	7
20	Health-related rumour detection on Twitter 2017 ·TU/e Research Portal ·Rosa Sicilia, (unknown), Yulong Pei, Mykola Pechenizkiy, Paolo Soda	17

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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