Vittorio Didonna

985 total citations
33 papers, 726 citations indexed

About

Vittorio Didonna is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Vittorio Didonna has authored 33 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Artificial Intelligence and 8 papers in Cancer Research. Recurrent topics in Vittorio Didonna's work include Radiomics and Machine Learning in Medical Imaging (18 papers), AI in cancer detection (16 papers) and Breast Cancer Treatment Studies (8 papers). Vittorio Didonna is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (18 papers), AI in cancer detection (16 papers) and Breast Cancer Treatment Studies (8 papers). Vittorio Didonna collaborates with scholars based in Italy. Vittorio Didonna's co-authors include Raffaella Massafra, Annarita Fanizzi, Daniele La Forgia, Pasquale Tamborra, R. Bellotti, Sabina Tangaro, Vito Lorusso, Alfredo Zito, Agnese Latorre and Teresa M. A. Basile and has published in prestigious journals such as PLoS ONE, Scientific Reports and BMC Bioinformatics.

In The Last Decade

Vittorio Didonna

33 papers receiving 717 citations

Peers

Countries citing papers authored by Vittorio Didonna

Since Specialization

Citations

This map shows the geographic impact of Vittorio Didonna'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 Vittorio Didonna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vittorio Didonna more than expected).

Fields of papers citing papers by Vittorio Didonna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vittorio Didonna. 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 Vittorio Didonna. The network helps show where Vittorio Didonna may publish in the future.

Co-authorship network of co-authors of Vittorio Didonna

This figure shows the co-authorship network connecting the top 25 collaborators of Vittorio Didonna. A scholar is included among the top collaborators of Vittorio Didonna 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 Vittorio Didonna. Vittorio Didonna 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	Explainable 3D CNN based on baseline breast DCE-MRI to give an early prediction of pathological complete response to neoadjuvant chemotherapy 2024 ·Computers in Biology and Medicine ·Maria Colomba Comes, Annarita Fanizzi, Samantha Bove, Vittorio Didonna, (unknown), (unknown), Daniele La Forgia, Francesco Giotta, Agnese Latorre, Annalisa Nardone, Gennaro Palmiotti, (unknown), L. Rinaldi, Alessandro Rizzo, (unknown), Pasquale Tamborra, Alfredo Zito, Vito Lorusso, Raffaella Massafra	8
2	Machine learning survival models trained on clinical data to identify high risk patients with hormone responsive HER2 negative breast cancer 2023 ·Scientific Reports ·Annarita Fanizzi, Domenico Pomarico, Alessandro Rizzo, Samantha Bove, Maria Colomba Comes, Vittorio Didonna, Francesco Giotta, Daniele La Forgia, Agnese Latorre, Maria Irene Pastena, (unknown), L. Rinaldi, Pasquale Tamborra, Alfredo Zito, Vito Lorusso, Raffaella Massafra	5
3	Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer 2022 ·Frontiers in Medicine ·Annarita Fanizzi, (unknown), (unknown), (unknown), Samantha Bove, Maria Colomba Comes, (unknown), Vittorio Didonna, (unknown), (unknown), (unknown), Pasquale Tamborra, (unknown), Salvatore Parisi, (unknown), Alfredo Zito, (unknown), Raffaella Massafra	5
4	A machine learning ensemble approach for 5- and 10-year breast cancer invasive disease event classification 2022 ·PLoS ONE ·Raffaella Massafra, Maria Colomba Comes, Samantha Bove, Vittorio Didonna, (unknown), Francesco Giotta, Agnese Latorre, Daniele La Forgia, Annalisa Nardone, Domenico Pomarico, (unknown), Alessandro Rizzo, Pasquale Tamborra, Alfredo Zito, Vito Lorusso, Annarita Fanizzi	11
5	An Invasive Disease Event-Free Survival Analysis to Investigate Ki67 Role with Respect to Breast Cancer Patients’ Age: A Retrospective Cohort Study 2022 ·Cancers ·Raffaella Massafra, Samantha Bove, Daniele La Forgia, Maria Colomba Comes, Vittorio Didonna, Gianluca Gatta, Francesco Giotta, Agnese Latorre, Annalisa Nardone, Gennaro Palmiotti, Davide Quaresmini, L. Rinaldi, Pasquale Tamborra, Alfredo Zito, Alessandro Rizzo, Annarita Fanizzi, Vito Lorusso	6
6	A ultrasound-based radiomic approach to predict the nodal status in clinically negative breast cancer patients 2022 ·Scientific Reports ·Samantha Bove, Maria Colomba Comes, Vito Lorusso, (unknown), Vittorio Didonna, Gianluca Gatta, Francesco Giotta, Daniele La Forgia, Agnese Latorre, Maria Irene Pastena, (unknown), Domenico Pomarico, L. Rinaldi, Pasquale Tamborra, Alfredo Zito, Annarita Fanizzi, Raffaella Massafra	30
7	A Clinical Decision Support System for Predicting Invasive Breast Cancer Recurrence: Preliminary Results 2021 ·Frontiers in Oncology ·Raffaella Massafra, Agnese Latorre, Annarita Fanizzi, R. Bellotti, Vittorio Didonna, Francesco Giotta, Daniele La Forgia, Annalisa Nardone, Maria Irene Pastena, (unknown), L. Rinaldi, (unknown), Pasquale Tamborra, Sabina Tangaro, Alfredo Zito, Vito Lorusso	28
8	Early prediction of neoadjuvant chemotherapy response by exploiting a transfer learning approach on breast DCE-MRIs 2021 ·Scientific Reports ·Maria Colomba Comes, Annarita Fanizzi, Samantha Bove, Vittorio Didonna, (unknown), Daniele La Forgia, Agnese Latorre, Eugenio Martinelli, Arianna Mencattini, Annalisa Nardone, Angelo Paradiso, (unknown), Pasquale Tamborra, Vito Lorusso, Raffaella Massafra	54
9	Early Prediction of Breast Cancer Recurrence for Patients Treated with Neoadjuvant Chemotherapy: A Transfer Learning Approach on DCE-MRIs 2021 ·Cancers ·Maria Colomba Comes, Daniele La Forgia, Vittorio Didonna, Annarita Fanizzi, Francesco Giotta, Agnese Latorre, Eugenio Martinelli, Arianna Mencattini, Angelo Paradiso, Pasquale Tamborra, (unknown), Alfredo Zito, Vito Lorusso, Raffaella Massafra	34
10	Investigation of Radiation-Induced Toxicity in Head and Neck Cancer Patients through Radiomics and Machine Learning: A Systematic Review 2021 ·Journal of Oncology ·Roberta Carbonara, Pierluigi Bonomo, (unknown), Vittorio Didonna, Fabiana Gregucci, (unknown), Alessia Surgo, (unknown), Alba Fiorentino, Angela Sardaro	23
11	A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis 2020 ·BMC Bioinformatics ·Annarita Fanizzi, Teresa M. A. Basile, L. Losurdo, R. Bellotti, U. Bottigli, (unknown), Vittorio Didonna, Alfonso Fausto, Raffaella Massafra, Marco Moschetta, Ondina Popescu, Pasquale Tamborra, Sabina Tangaro, Daniele La Forgia	42
12	Radiomic Analysis in Contrast-Enhanced Spectral Mammography for Predicting Breast Cancer Histological Outcome 2020 ·Diagnostics ·Daniele La Forgia, Annarita Fanizzi, Francesco Campobasso, R. Bellotti, Vittorio Didonna, Vito Lorusso, Marco Moschetta, Raffaella Massafra, Pasquale Tamborra, Sabina Tangaro, Michele Telegrafo, Maria Irene Pastena, Alfredo Zito	76
13	Elite VABB 13G: A New Ultrasound-Guided Wireless Biopsy System for Breast Lesions. Technical Characteristics and Comparison with Respect to Traditional Core-Biopsy 14–16G Systems 2020 ·Diagnostics ·Daniele La Forgia, Alfonso Fausto, Gianluca Gatta, Graziella Di Grezia, (unknown), Annarita Fanizzi, (unknown), (unknown), Vittorio Didonna, Vito Lorusso, Raffaella Massafra, Sabina Tangaro, Maria Antonietta Mazzei	7
14	Fully Automated Support System for Diagnosis of Breast Cancer in Contrast-Enhanced Spectral Mammography Images 2019 ·Journal of Clinical Medicine ·Annarita Fanizzi, L. Losurdo, Teresa M. A. Basile, R. Bellotti, U. Bottigli, P. Delogu, Domenico Diacono, Vittorio Didonna, Alfonso Fausto, Angela Lombardi, Vito Lorusso, Raffaella Massafra, Sabina Tangaro, Daniele La Forgia	40
15	Microcalcification detection in full-field digital mammograms: A fully automated computer-aided system 2019 ·Physica Medica ·Teresa M. A. Basile, Annarita Fanizzi, L. Losurdo, R. Bellotti, U. Bottigli, (unknown), Vittorio Didonna, Alfonso Fausto, Raffaella Massafra, Marco Moschetta, Pasquale Tamborra, Sabina Tangaro, Daniele La Forgia	43
16	The 3D isodose structure‐based method for clinical dose distributions comparison in pretreatment patient‐QA 2018 ·Medical Physics ·Pasquale Tamborra, (unknown), Raffaella Massafra, (unknown), (unknown), (unknown), Vittorio Didonna	8
17	A Gradient-Based Approach for Breast DCE-MRI Analysis 2018 ·BioMed Research International ·L. Losurdo, Teresa M. A. Basile, Annarita Fanizzi, R. Bellotti, U. Bottigli, Roberta Carbonara, (unknown), Domenico Diacono, Vittorio Didonna, Angela Lombardi, Francesco Giotta, Cataldo Guaragnella, Anita Mangia, Raffaella Massafra, Pasquale Tamborra, Sabina Tangaro, Daniele La Forgia	24
18	Incidents analysis in radiation therapy: application of the human factors analysis and classification system. 2009 ·PubMed ·Maurizio Portaluri, (unknown), (unknown), (unknown), (unknown), Giorgio Pili, Vittorio Didonna, Francesco Tramacere, (unknown), (unknown), (unknown)	11
19	Quality assurance in radiotherapy. How to improve the effectiveness and completeness of an electronic patient's chart. 2005 ·PubMed ·Maurizio Portaluri, Sergio Casciaro, (unknown), Francesco Tramacere, Ernesto Casciaro, (unknown), Antonio Sanzo, Giorgio Pili, Vittorio Didonna, A. Distante	2
20	Clinical and anatomical guidelines in pelvic cancer contouring for radiotherapy treatment planning 2004 ·Cancer/Radiothérapie ·Maurizio Portaluri, (unknown), (unknown), G. Giuliano, (unknown), Michele Scialpi, Giorgio Pili, Vittorio Didonna, (unknown)	7

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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