Bruno Barufaldi

693 total citations
61 papers, 489 citations indexed

About

Bruno Barufaldi is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Bruno Barufaldi has authored 61 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Pulmonary and Respiratory Medicine, 52 papers in Radiology, Nuclear Medicine and Imaging and 34 papers in Artificial Intelligence. Recurrent topics in Bruno Barufaldi's work include Digital Radiography and Breast Imaging (52 papers), Medical Imaging Techniques and Applications (36 papers) and AI in cancer detection (34 papers). Bruno Barufaldi is often cited by papers focused on Digital Radiography and Breast Imaging (52 papers), Medical Imaging Techniques and Applications (36 papers) and AI in cancer detection (34 papers). Bruno Barufaldi collaborates with scholars based in United States, Brazil and United Kingdom. Bruno Barufaldi's co-authors include Andrew D. A. Maidment, Predrag R. Bakić, Susan P. Weinstein, Emily F. Conant, Samantha P. Zuckerman, Brad M. Keller, Marie Synnestvedt, Elizabeth S. McDonald, Raymond J. Acciavatti and Miguel A. Lago and has published in prestigious journals such as Current Biology, Radiology and IEEE Transactions on Medical Imaging.

In The Last Decade

Bruno Barufaldi

52 papers receiving 486 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bruno Barufaldi United States 10 394 351 226 145 47 61 489
Raymond J. Acciavatti United States 12 437 1.1× 365 1.0× 142 0.6× 211 1.5× 19 0.4× 62 508
Marco Caballo Netherlands 13 284 0.7× 147 0.4× 113 0.5× 102 0.7× 22 0.5× 30 375
Lucy M. Warren United Kingdom 10 234 0.6× 261 0.7× 177 0.8× 85 0.6× 53 1.1× 25 319
Ted W. Way United States 9 430 1.1× 325 0.9× 162 0.7× 87 0.6× 40 0.9× 11 522
Shonket Ray United States 7 278 0.7× 201 0.6× 138 0.6× 93 0.6× 37 0.8× 14 373
Joanne Hoffman United States 5 259 0.7× 147 0.4× 126 0.6× 97 0.7× 19 0.4× 7 415
William R. Geiser United States 10 215 0.5× 178 0.5× 77 0.3× 111 0.8× 37 0.8× 26 295
Bjørn Helge Østerås Norway 9 200 0.5× 250 0.7× 228 1.0× 68 0.5× 107 2.3× 14 356
Simon Köhl Germany 7 418 1.1× 315 0.9× 147 0.7× 90 0.6× 18 0.4× 11 585
Ramona W. Bouwman Netherlands 10 368 0.9× 216 0.6× 119 0.5× 243 1.7× 17 0.4× 21 428

Countries citing papers authored by Bruno Barufaldi

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Barufaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Barufaldi

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Barufaldi. A scholar is included among the top collaborators of Bruno Barufaldi 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 Bruno Barufaldi. Bruno Barufaldi 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.
Barufaldi, Bruno, Miguel A. Lago, Ehsan Abadi, & Andrew D. A. Maidment. (2025). Container applications for the development and integration of virtual imaging platforms. Medical Physics. 52(6). 3685–3696. 1 indexed citations
3.
Adamo, Stephen H., Bruno Barufaldi, & Miguel A. Lago. (2023). Comparing experts to novices: reduced satisfaction of search when searching with virtual breast tomosynthesis. 72. 1–1.
4.
Barufaldi, Bruno, Raymond J. Acciavatti, Emily F. Conant, & Andrew D. A. Maidment. (2023). Impact of super-resolution and image acquisition on the detection of calcifications in digital breast tomosynthesis. European Radiology. 34(1). 193–203. 5 indexed citations
5.
Barufaldi, Bruno, Thaís G. do Rêgo, Telmo M. Silva Filho, et al.. (2023). Impact of Tomosynthesis Acquisition on 3D Segmentations of Breast Outline and Adipose/Dense Tissue with AI: A Simulation-Based Study. Tomography. 9(4). 1303–1314. 1 indexed citations
6.
Adamo, Stephen H., Nelson Roque, Bruno Barufaldi, et al.. (2023). Assessing satisfaction of search in virtual mammograms for experienced and novice searchers. Journal of Medical Imaging. 10(S1).
7.
Acciavatti, Raymond J., et al.. (2022). Achieving isotropic super-resolution with a non-isocentric acquisition geometry in a next-generation tomosynthesis system. PubMed. 12031. 183–183. 2 indexed citations
8.
Barufaldi, Bruno, et al.. (2022). Spatial dependency of lesion detectability in digital breast tomosynthesis. PubMed. 11595. 50–50. 1 indexed citations
9.
Barufaldi, Bruno, et al.. (2021). Next generation tomosynthesis image acquisition optimization for dedicated PET-DBT attenuation corrections. PubMed. 11595. 97–97. 6 indexed citations
10.
Lago, Miguel A., Craig K. Abbey, Bruno Barufaldi, et al.. (2021). Under-exploration of Three-Dimensional Images Leads to Search Errors for Small Salient Targets. Current Biology. 31(5). 1099–1106.e5. 9 indexed citations
11.
Acciavatti, Raymond J., et al.. (2020). Super-resolution in digital breast tomosynthesis: limitations of the conventional system design and strategies for optimization. PubMed. 11513. 39–39. 1 indexed citations
12.
Acciavatti, Raymond J., Eric A. Cohen, Omid Haji Maghsoudi, et al.. (2020). Calculation of radiomic features to validate the textural realism of physical anthropomorphic phantoms for digital mammography. PubMed. 11513. 101–101. 2 indexed citations
15.
Barufaldi, Bruno, Raymond J. Acciavatti, Predrag R. Bakić, et al.. (2020). Determining the optimal angular range of the X-ray source motion in tomosynthesis using virtual clinical trials. PubMed. 11312. 18–18. 3 indexed citations
16.
Krishnamoorthy, Srilalan, et al.. (2020). Evaluating attenuation correction strategies in a dedicated, single-gantry breast PET-tomosynthesis scanner. Physics in Medicine and Biology. 65(23). 235028–235028. 8 indexed citations
17.
Barufaldi, Bruno, et al.. (2019). Personalization of x-ray tube motion in digital breast tomosynthesis using virtual Defrise phantoms. PubMed. 10948. 10–10. 8 indexed citations
18.
Lago, Miguel A., Craig K. Abbey, Predrag R. Bakić, et al.. (2018). Interactions of lesion detectability and size across single-slice DBT and 3D DBT. PubMed. 10577. 32–32. 11 indexed citations
19.
Zuckerman, Samantha P., Emily F. Conant, Brad M. Keller, et al.. (2016). Implementation of Synthesized Two-dimensional Mammography in a Population-based Digital Breast Tomosynthesis Screening Program. Radiology. 281(3). 730–736. 116 indexed citations
20.
Vieira, Marcelo A. C., Lucas R. Borges, Predrag R. Bakić, et al.. (2015). Feasibility study of dose reduction in digital breast tomosynthesis using non-local denoising algorithms. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9412. 94122C–94122C. 6 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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