Leda Lorenzon

432 total citations
12 papers, 222 citations indexed

About

Leda Lorenzon is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Oncology. According to data from OpenAlex, Leda Lorenzon has authored 12 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Radiation and 2 papers in Oncology. Recurrent topics in Leda Lorenzon's work include Medical Imaging Techniques and Applications (7 papers), Radiopharmaceutical Chemistry and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Leda Lorenzon is often cited by papers focused on Medical Imaging Techniques and Applications (7 papers), Radiopharmaceutical Chemistry and Applications (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Leda Lorenzon collaborates with scholars based in Italy, United States and Sweden. Leda Lorenzon's co-authors include Massimiliano Pacilio, B. Cassano, Elisabetta Di Castro, R. Pani, Pasquale Ialongo, Lucio Mango, Guido Ventroni, R. Pellegrini, Giulia Anna Follacchio and Viviana Frantellizzi and has published in prestigious journals such as PLoS ONE, Medical Physics and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Leda Lorenzon

11 papers receiving 218 citations

Peers

Countries citing papers authored by Leda Lorenzon

Since Specialization

Citations

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

Fields of papers citing papers by Leda Lorenzon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leda Lorenzon

This figure shows the co-authorship network connecting the top 25 collaborators of Leda Lorenzon. A scholar is included among the top collaborators of Leda Lorenzon 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 Leda Lorenzon. Leda Lorenzon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	Robust machine learning challenge: An AIFM multicentric competition to spread knowledge, identify common pitfalls and recommend best practice 2024 ·Physica Medica ·(unknown), Annarita Fanizzi, (unknown), (unknown), (unknown), Leda Lorenzon, Alessia Giuliano, (unknown), (unknown), (unknown), (unknown), Gina Belmonte, Marco Giannelli, C. Talamonti, Mauro Iori, Sabina Tangaro, Raffaella Massafra, Pietro Mancosu, Michele Avanzo	3
2	Developing an ensemble machine learning study: Insights from a multi-center proof-of-concept study 2024 ·PLoS ONE ·Annarita Fanizzi, (unknown), (unknown), (unknown), Leda Lorenzon, (unknown), (unknown), Alessia Giuliano, (unknown), (unknown), (unknown), Gina Belmonte, Marco Giannelli, Pietro Mancosu, C. Talamonti, Mauro Iori, Sabina Tangaro, Michele Avanzo, Raffaella Massafra	2
3	Applications of Artificial Intelligence and Radiomics in Molecular Hybrid Imaging and Theragnostics for Neuro-Endocrine Neoplasms (NENs) 2023 ·Life ·Michele Balma, Riccardo Laudicella, E. Gallio, (unknown), Leda Lorenzon, (unknown), (unknown), Osvaldo Rampado, Mohsen Farsad, Laura Evangelista, Désirèe Deandreis, (unknown), Virginia Liberini	6
4	Cutaneous squamous cell carcinoma of the lip successfully treated with Rhenium-188 brachytherapy 2023 ·Dermatology Reports ·(unknown), (unknown), Leda Lorenzon, Mohsen Farsad, (unknown)	2
5	Radiomics and artificial intelligence in prostate cancer: new tools for molecular hybrid imaging and theragnostics 2022 ·European Radiology Experimental ·Virginia Liberini, Riccardo Laudicella, Michele Balma, (unknown), Ambra Buschiazzo, Séréna Grimaldi, Leda Lorenzon, Andrea Bianchi, (unknown), Tommaso Vincenzo Bartolotta, Mohsen Farsad, Sergio Baldari, Irene A. Burger, Martin W. Huellner, (unknown), Désirèe Deandreis	36
6	Impact of missing attenuation and scatter corrections on ^99mTc‐MAA SPECT 3D dosimetry for liver radioembolization using the patient relative calibration methodology: A retrospective investigation on clinical images 2018 ·Medical Physics ·Francesca Botta, Mahila Ferrari, Claudio Chiesa, (unknown), (unknown), (unknown), Marta Mira-Aladrén, Leda Lorenzon, Massimiliano Pacilio, Marta Cremonesi	9
7	A multicenter dosimetric and observational study for lesion dosimetry in 223Ra therapy of bone metastases: Calibration protocol and eligibility criteria 2016 ·Physica Medica ·Massimiliano Pacilio, B. Cassano, Claudio Chiesa, Mahila Ferrari, Cinzia Pettinato, Ernesto Amato, Federica Fioroni, Leda Lorenzon, R. Pellegrini, Elisabetta Di Castro, R. Pani, Marta Cremonesi	1
8	Impact of SPECT corrections on 3D‐dosimetry for liver transarterial radioembolization using the patient relative calibration methodology 2016 ·Medical Physics ·Massimiliano Pacilio, Mahila Ferrari, Claudio Chiesa, Leda Lorenzon, Marta Mira-Aladrén, Francesca Botta, (unknown), Leonel Torres, (unknown), Alex Vergara Gil, (unknown), Michael Ljungberg, R. Pani, Marta Cremonesi	16
9	The Italian multicentre dosimetric study for lesion dosimetry in 223 Ra therapy of bone metastases: Calibration protocol of gamma cameras and patient eligibility criteria 2016 ·Physica Medica ·Massimiliano Pacilio, B. Cassano, Claudio Chiesa, (unknown), Mahila Ferrari, Cinzia Pettinato, Ernesto Amato, Federica Fioroni, Leda Lorenzon, R. Pellegrini, Elisabetta Di Castro, R. Pani, Marta Cremonesi	19
10	Monte Carlo and clinical study of the impact of attenuation and scatter corrections on prospective 3D dosimetry for radioembolization with 90Y microspheres 2016 ·Physica Medica ·Massimiliano Pacilio, Leda Lorenzon, Mahila Ferrari, Claudio Chiesa, Francesca Botta, Marta Mira-Aladrén, (unknown), Leonel Torres, (unknown), (unknown), Michael Ljungberg, R. Pani, Marta Cremonesi	0
11	A case report of image-based dosimetry of bone metastases with Alpharadin (223Ra-dichloride) therapy: inter-fraction variability of absorbed dose and follow-up 2015 ·Annals of Nuclear Medicine ·Massimiliano Pacilio, Guido Ventroni, B. Cassano, Pasquale Ialongo, Leda Lorenzon, Elisabetta Di Castro, Federica Recine, Cora N. Sternberg, Lucio Mango	21
12	Dosimetry of bone metastases in targeted radionuclide therapy with alpha-emitting 223Ra-dichloride 2015 ·European Journal of Nuclear Medicine and Molecular Imaging ·Massimiliano Pacilio, Guido Ventroni, Giuseppe De Vincentis, B. Cassano, R. Pellegrini, Elisabetta Di Castro, Viviana Frantellizzi, Giulia Anna Follacchio, (unknown), Leda Lorenzon, Pasquale Ialongo, R. Pani, Lucio Mango	107

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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