Carlo Biffi

1.7k total citations
8 papers, 194 citations indexed

About

Carlo Biffi is a scholar working on Cardiology and Cardiovascular Medicine, Oncology and Artificial Intelligence. According to data from OpenAlex, Carlo Biffi has authored 8 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 3 papers in Oncology and 3 papers in Artificial Intelligence. Recurrent topics in Carlo Biffi's work include Colorectal Cancer Screening and Detection (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Carlo Biffi is often cited by papers focused on Colorectal Cancer Screening and Detection (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Carlo Biffi collaborates with scholars based in United Kingdom, Italy and Austria. Carlo Biffi's co-authors include Daniel Rueckert, Antonio de Marvao, Declan P. O’Regan, Timothy J. W. Dawes, Wenjia Bai, Ghalib Bello, Jinming Duan, Jo Schlemper, Wenzhe Shi and J. Simon R. Gibbs and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Medical Imaging and Frontiers in Oncology.

In The Last Decade

Carlo Biffi

7 papers receiving 189 citations

Peers

Carlo Biffi

RNMI

CCM

CVPR

BE

PRM

Sekeun Kim United States

Gary Brahm Canada

Mostafa Ghelich Oghli Iran

Giacomo Tarroni Italy

Iván Macía Spain

Eva Nyktari United Kingdom

Sarah Leclerc France

Cristian Izquierdo Spain

Kal Clark United States

Carlos Martín-Isla Spain

Sekeun Kim United States

Carlo Biffi

67 ×0.6

RNMI

43 ×0.6

CCM

43 ×0.7

CVPR

28 ×0.7

BE

29 ×0.8

PRM

Citations per year, relative to Carlo Biffi Carlo Biffi (= 1×) peers Sekeun Kim

Countries citing papers authored by Carlo Biffi

Since Specialization

Citations

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

Fields of papers citing papers by Carlo Biffi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlo Biffi

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

All Works

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8 of 8 papers shown

1.

Biffi, Carlo, et al.. (2025). A temporal convolutional network-based approach and a benchmark dataset for colonoscopy video temporal segmentation. Computer Methods and Programs in Biomedicine. 270. 108782–108782. 1 indexed citations

2.

Cherubini, Andrea, et al.. (2024). Assessing clinical efficacy of polyp detection models using open-access datasets. Frontiers in Oncology. 14. 1422942–1422942.

3.

Biffi, Carlo, et al.. (2024). REAL-Colon: A dataset for developing real-world AI applications in colonoscopy. Scientific Data. 11(1). 539–539. 7 indexed citations

4.

Duan, Jinming, Ghalib Bello, Jo Schlemper, et al.. (2019). Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach. IEEE Transactions on Medical Imaging. 38(9). 2151–2164. 137 indexed citations

5.

Bhuva, Anish, Thomas A. Treibel, Antonio de Marvao, et al.. (2019). Sex and regional differences in myocardial plasticity in aortic stenosis are revealed by 3D model machine learning. European Heart Journal - Cardiovascular Imaging. 21(4). 417–427. 9 indexed citations

6.

Dawes, Timothy J. W., Antonio de Marvao, Carlo Biffi, et al.. (2018). Metabolic pathways associated with right ventricular adaptation to pulmonary hypertension: 3D analysis of cardiac magnetic resonance imaging. European Heart Journal - Cardiovascular Imaging. 20(6). 668–676. 17 indexed citations

7.

Cerrolaza, Juan J., Yuanwei Li, Carlo Biffi, et al.. (2018). Fetal Skull Reconstruction via Deep Convolutional Autoencoders. PubMed. 2018. 887–890. 4 indexed citations

8.

Biffi, Carlo, Antonio de Marvao, Timothy J. W. Dawes, et al.. (2017). Three-dimensional cardiovascular imaging-genetics: a mass univariate framework. Bioinformatics. 34(1). 97–103. 19 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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