Pablo Borrelli

498 total citations
23 papers, 354 citations indexed

About

Pablo Borrelli is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Ecology. According to data from OpenAlex, Pablo Borrelli has authored 23 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 4 papers in Ecology. Recurrent topics in Pablo Borrelli's work include Radiomics and Machine Learning in Medical Imaging (10 papers), Medical Imaging Techniques and Applications (8 papers) and Prostate Cancer Diagnosis and Treatment (5 papers). Pablo Borrelli is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Medical Imaging Techniques and Applications (8 papers) and Prostate Cancer Diagnosis and Treatment (5 papers). Pablo Borrelli collaborates with scholars based in Sweden, Denmark and Spain. Pablo Borrelli's co-authors include Olof Enqvist, Lars Edenbrandt, Elin Trägårdh, Johannes Ulén, Reza Kaboteh, Andrés F. Cibils, Gabriel Oliva, Henrik Kjölhede, Poul Flemming Høilund‐Carlsen and Mads Hvid Poulsen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Pablo Borrelli

23 papers receiving 342 citations

Peers

Pablo Borrelli
Shane Blackett New Zealand
Richard Pais United States
Ian Kirkwood Australia
Sarah L. Hale United States
Joseph M. Terry United States
James Foley United Kingdom
Pablo Borrelli
Citations per year, relative to Pablo Borrelli Pablo Borrelli (= 1×) peers Thibaut Jacques

Countries citing papers authored by Pablo Borrelli

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Borrelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Borrelli

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

All Works

20 of 20 papers shown
1.
Ying, Thomas, Pablo Borrelli, Lars Edenbrandt, et al.. (2024). AI-based fully automatic image analysis: Optimal abdominal and thoracic segmentation volumes for estimating total muscle volume on computed tomography scans. SHILAP Revista de lepidopterología. 10(2). 78–83. 1 indexed citations
2.
Vicente, Ana María García, et al.. (2024). Analytical performance validation of aPROMISE platform for prostate tumor burden, index and dominant tumor assessment with 18F-DCFPyL PET/CT. A pilot study. Scientific Reports. 14(1). 3001–3001. 5 indexed citations
3.
Trägårdh, Elin, Olof Enqvist, Johannes Ulén, et al.. (2022). Freely Available, Fully Automated AI-Based Analysis of Primary Tumour and Metastases of Prostate Cancer in Whole-Body [18F]-PSMA-1007 PET-CT. Diagnostics. 12(9). 2101–2101. 24 indexed citations
4.
Borrelli, Pablo, Reza Kaboteh, Johannes Ulén, et al.. (2022). Freely available convolutional neural network-based quantification of PET/CT lesions is associated with survival in patients with lung cancer. EJNMMI Physics. 9(1). 6–6. 7 indexed citations
5.
Borrelli, Pablo, et al.. (2022). Automated classification of PET‐CT lesions in lung cancer: An independent validation study. Clinical Physiology and Functional Imaging. 42(5). 327–332. 4 indexed citations
6.
Ahlering, Marissa, Clare E. Kazanski, Pablo Borrelli, et al.. (2021). A Synthesis of Ranch-Level Sustainability Indicators for Land Managers and to Communicate Across the US Beef Supply Chain. Rangeland Ecology & Management. 79. 217–230. 9 indexed citations
7.
Ying, Thomas, Pablo Borrelli, Lars Edenbrandt, et al.. (2021). Automated artificial intelligence-based analysis of skeletal muscle volume predicts overall survival after cystectomy for urinary bladder cancer. European Radiology Experimental. 5(1). 50–50. 9 indexed citations
8.
Borrelli, Pablo, Reza Kaboteh, Olof Enqvist, et al.. (2021). Artificial intelligence-aided CT segmentation for body composition analysis: a validation study. European Radiology Experimental. 5(1). 11–11. 35 indexed citations
9.
Borrelli, Pablo, Reza Kaboteh, Johannes Ulén, et al.. (2021). AI-based detection of lung lesions in [18F]FDG PET-CT from lung cancer patients. EJNMMI Physics. 8(1). 32–32. 21 indexed citations
10.
Trägårdh, Elin, Pablo Borrelli, Reza Kaboteh, et al.. (2020). RECOMIA—a cloud-based platform for artificial intelligence research in nuclear medicine and radiology. EJNMMI Physics. 7(1). 51–51. 66 indexed citations
11.
Borrelli, Pablo, Måns Larsson, Johannes Ulén, et al.. (2020). Artificial intelligence‐based detection of lymph node metastases by PET/CT predicts prostate cancer‐specific survival. Clinical Physiology and Functional Imaging. 41(1). 62–67. 19 indexed citations
12.
Borrelli, Pablo, Mads Hvid Poulsen, Oke Gerke, et al.. (2019). Artificial intelligence‐based versus manual assessment of prostate cancer in the prostate gland: a method comparison study. Clinical Physiology and Functional Imaging. 39(6). 399–406. 23 indexed citations
13.
Sadik, May, Reza Kaboteh, Pablo Borrelli, et al.. (2019). Deep learning‐based quantification of PET/CT prostate gland uptake: association with overall survival. Clinical Physiology and Functional Imaging. 40(2). 106–113. 30 indexed citations
14.
Borrelli, Pablo, et al.. (2019). Prognostic value of automatically acquired biomarkers using artificial intelligence in 18F-Choline PET/CT in high-risk prostate cancer.. 60. 1592–1592. 1 indexed citations
15.
Xu, Sutie, Jason E. Rowntree, Pablo Borrelli, Jennifer Hodbod, & Matt R. Raven. (2019). Ecological Health Index: A Short Term Monitoring Method for Land Managers to Assess Grazing Lands Ecological Health. Environments. 6(6). 67–67. 11 indexed citations
16.
Borrelli, Pablo, Olof Enqvist, Johannes Ulén, et al.. (2018). Artificial Intelligence Based Method for Automated PET/CT Measurements of Prostate Gland Volume and Choline Uptake. University of Southern Denmark Research Portal (University of Southern Denmark). 1 indexed citations
17.
Borrelli, Pablo, Maarten L. Donswijk, Marcel P. M. Stokkel, et al.. (2016). Contribution of SPECT/CT for sentinel node localization in patients with ipsilateral breast cancer relapse. European Journal of Nuclear Medicine and Molecular Imaging. 44(4). 630–637. 18 indexed citations
18.
Torres-Espallardó, I., et al.. (2015). Dosimetría individualizada para pacientes de cáncer diferenciado de tiroides basada en tasa de dosis externa. Optimización del número de medidas. Revista Española de Medicina Nuclear e Imagen Molecular. 35(2). 107–114. 1 indexed citations
19.
Teague, Richard & Pablo Borrelli. (2014). Deficiencies in the Briske et al. Rebuttal of the Savory Method: A Reply to the Letter From Andrés Cibils. Rangelands. 36(3). 28–29. 3 indexed citations
20.
Cibils, Andrés F. & Pablo Borrelli. (2005). Grasslands of Patagonia.. 121–170. 10 indexed citations

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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