Curzio Basso

763 total citations
16 papers, 493 citations indexed

About

Curzio Basso is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Curzio Basso has authored 16 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Biomedical Engineering. Recurrent topics in Curzio Basso's work include Advanced Vision and Imaging (4 papers), Face recognition and analysis (3 papers) and Advanced X-ray and CT Imaging (3 papers). Curzio Basso is often cited by papers focused on Advanced Vision and Imaging (4 papers), Face recognition and analysis (3 papers) and Advanced X-ray and CT Imaging (3 papers). Curzio Basso collaborates with scholars based in Italy, Switzerland and Norway. Curzio Basso's co-authors include Volker Blanz, Tomaso Poggio, Thomas Vetter, Alessandro Verri, Thomas Vetter, Michele Conti, Alice Finotello, Angelo Ravelli, Bianca Pane and Giovanni Spinella and has published in prestigious journals such as Lara D. Veeken, Journal of Translational Medicine and Respiratory Research.

In The Last Decade

Curzio Basso

16 papers receiving 466 citations

Peers

Curzio Basso

CVPR

CSE

PRM

HEMAT

Andy Wang United States

Javier Oliván Bescós Netherlands

Muhammad Nadeem Pakistan

Soochahn Lee South Korea

Arnaldo Mayer Israel

Rocco Gasteiger Germany

Iyad Mansour United States

Mathias Neugebauer Germany

Th. Schiemann Germany

Juan J. Cerrolaza United States

Andy Wang United States

Curzio Basso

104 ×0.3

CVPR

18 ×0.2

15 ×0.2

CSE

11 ×0.2

PRM

8 ×0.1

HEMAT

Citations per year, relative to Curzio Basso Curzio Basso (= 1×) peers Andy Wang

Countries citing papers authored by Curzio Basso

Since Specialization

Citations

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

Fields of papers citing papers by Curzio Basso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Curzio Basso

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

All Works

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16 of 16 papers shown

Basso, Curzio, et al.. (2024). Automatic 3D Segmentation and Identification of Anomalous Aortic Origin of the Coronary Arteries Combining Multi-view 2D Convolutional Neural Networks. Journal of Imaging Informatics in Medicine. 37(2). 884–891. 4 indexed citations

Polverini, Eugenia, Gino Villetti, Nicola Sverzellati, et al.. (2024). A semi-automatic pipeline integrating histological and µCT data in a mouse model of lung fibrosis. Journal of Translational Medicine. 22(1). 1040–1040. 1 indexed citations

Spinella, Giovanni, et al.. (2023). Artificial Intelligence Application to Screen Abdominal Aortic Aneurysm Using Computed tomography Angiography. Journal of Digital Imaging. 36(5). 2125–2137. 11 indexed citations

Basso, Curzio, Annalisa Barla, Francesca Odone, et al.. (2022). A fully automated deep learning pipeline for micro-CT-imaging-based densitometry of lung fibrosis murine models. Respiratory Research. 23(1). 308–308. 18 indexed citations

Espósito, Mario, Alice Finotello, Ferdinando Auricchio, et al.. (2020). 3D Automatic Segmentation of Aortic Computed Tomography Angiography Combining Multi-View 2D Convolutional Neural Networks. Cardiovascular Engineering and Technology. 11(5). 576–586. 49 indexed citations

Perin, Alessandro, Francesco Prada, Piergiorgio d’Orio, et al.. (2017). USim: A New Device and App for Case-Specific, Intraoperative Ultrasound Simulation and Rehearsal in Neurosurgery. A Preliminary Study. Operative Neurosurgery. 14(5). 572–578. 17 indexed citations

Basso, Curzio, et al.. (2014). Unsupervised tissue segmentation from dynamic contrast-enhanced magnetic resonance imaging. Artificial Intelligence in Medicine. 61(1). 53–61. 2 indexed citations

Malattia, Clara, Maria Beatrice Damasio, Curzio Basso, et al.. (2012). Novel automated system for magnetic resonance imaging quantification of the inflamed synovial membrane volume in patients with juvenile idiopathic arthritis. Arthritis Care & Research. 64(11). 1657–1664. 14 indexed citations

Malattia, Clara, Maria Beatrice Damasio, Curzio Basso, et al.. (2009). Dynamic contrast-enhanced magnetic resonance imaging in the assessment of disease activity in patients with juvenile idiopathic arthritis. Lara D. Veeken. 49(1). 178–185. 60 indexed citations

10.

Basso, Curzio, Matteo Santoro, Alessandro Verri, & Mario Espósito. (2009). Segmentation of inflamed synovia in multi-modal 3D MRI. 1496. 229–232. 1 indexed citations

11.

Basso, Curzio & Alessandro Verri. (2007). FITTING 3D MORPHABLE MODELS USING IMPLICIT REPRESENTATIONS. 45–52. 7 indexed citations

12.

Basso, Curzio, Pascal Paysan, & Thomas Vetter. (2006). Registration of Expressions Data using a 3D Morphable Model. 205–210. 9 indexed citations

13.

Basso, Curzio & Thomas Vetter. (2006). Registration of Expressions Data using a 3D Morphable Model. Journal of Multimedia. 1(4). 3 indexed citations

14.

Basso, Curzio, Thomas Vetter, & Volker Blanz. (2003). Regularized 3D morphable models. 272. 3–10. 10 indexed citations

15.

Pittore, Massimiliano, Curzio Basso, & Alessandro Verri. (2003). Representing and recognizing visual dynamic events with support vector machines. 18–23. 7 indexed citations

16.

Blanz, Volker, Curzio Basso, Tomaso Poggio, & Thomas Vetter. (2003). Reanimating Faces in Images and Video. Computer Graphics Forum. 22(3). 641–650. 280 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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