Bruno Oliveira

1.2k total citations
55 papers, 528 citations indexed

About

Bruno Oliveira is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Bruno Oliveira has authored 55 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 17 papers in Biomedical Engineering and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Bruno Oliveira's work include AI in cancer detection (9 papers), Craniofacial Disorders and Treatments (8 papers) and Medical Image Segmentation Techniques (7 papers). Bruno Oliveira is often cited by papers focused on AI in cancer detection (9 papers), Craniofacial Disorders and Treatments (8 papers) and Medical Image Segmentation Techniques (7 papers). Bruno Oliveira collaborates with scholars based in Portugal, Germany and Brazil. Bruno Oliveira's co-authors include João L. Vilaça, Helena R. Torres, Pedro Morais, Jaime C. Fonseca, Sandro Queirós, G Sharp, Xue Feng, Xiao Han, Brent van der Heyden and Dao Lam and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

In The Last Decade

Bruno Oliveira

45 papers receiving 518 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 Oliveira Portugal 11 246 172 145 113 108 55 528
Xuanang Xu United States 13 312 1.3× 237 1.4× 150 1.0× 113 1.0× 240 2.2× 33 657
Laurent Massoptier Italy 11 252 1.0× 263 1.5× 128 0.9× 66 0.6× 142 1.3× 23 543
Tao Zhong China 11 233 0.9× 75 0.4× 131 0.9× 31 0.3× 79 0.7× 36 462
Mostafa Ghelich Oghli Iran 9 237 1.0× 97 0.6× 107 0.7× 39 0.3× 98 0.9× 19 386
Dakai Jin United States 15 370 1.5× 208 1.2× 149 1.0× 138 1.2× 154 1.4× 35 697
Maysam Shahedi United States 11 215 0.9× 110 0.6× 151 1.0× 45 0.4× 127 1.2× 37 435
Jeroen Bertels Belgium 10 210 0.9× 127 0.7× 114 0.8× 31 0.3× 116 1.1× 15 527
Andrzej Skalski Poland 13 96 0.4× 141 0.8× 121 0.8× 56 0.5× 176 1.6× 61 523
Heinrich Schulz Germany 7 134 0.5× 77 0.4× 103 0.7× 47 0.4× 76 0.7× 20 326
Christian Daul France 12 105 0.4× 201 1.2× 75 0.5× 80 0.7× 71 0.7× 62 461

Countries citing papers authored by Bruno Oliveira

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Oliveira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Oliveira

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Oliveira. A scholar is included among the top collaborators of Bruno Oliveira 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 Oliveira. Bruno Oliveira 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.
Torres, Helena R., Bruno Oliveira, Cahit Birdir, et al.. (2024). Deep-DM: Deep-Driven Deformable Model for 3D Image Segmentation Using Limited Data. IEEE Journal of Biomedical and Health Informatics. 28(12). 7287–7299. 1 indexed citations
2.
3.
Queirós, Sandro, Helena R. Torres, Bruno Oliveira, et al.. (2024). Exploring optical flow inclusion into nnU-Net framework for surgical instrument segmentation. arXiv (Cornell University). 78–78.
4.
Torres, Helena R., Bruno Oliveira, Pedro Morais, et al.. (2024). Infant head and brain segmentation from magnetic resonance images using fusion-based deep learning strategies. Multimedia Systems. 30(2). 2 indexed citations
5.
Morais, Pedro, et al.. (2023). Remote Monitoring System of Dynamic Compression Bracing to Correct Pectus Carinatum. Sensors. 23(9). 4427–4427.
6.
Vilaça, João L., et al.. (2023). Smart scan of medical device displays to integrate with a mHealth application. Heliyon. 9(6). e16297–e16297. 2 indexed citations
7.
Oliveira, Bruno, Helena R. Torres, Pedro Morais, et al.. (2023). A multi-task convolutional neural network for classification and segmentation of chronic venous disorders. Scientific Reports. 13(1). 761–761. 14 indexed citations
8.
Torres, Helena R., et al.. (2022). ECG classification using Artificial Intelligence: Model Optimization and Robustness Assessment. 1–8. 2 indexed citations
9.
Oliveira, Bruno, et al.. (2022). Ultrasound training simulator using augmented reality glasses: an accuracy and precision assessment study. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 4461–4464. 10 indexed citations
10.
Torres, Helena R., et al.. (2022). Comparative Analysis of Current Deep Learning Networks for Breast Lesion Segmentation in Ultrasound Images. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 3878–3881. 8 indexed citations
11.
Torres, Helena R., et al.. (2022). Deep learning methods for lesion detection on mammography images: a comparative analysis. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 3526–3529. 7 indexed citations
12.
Torres, Helena R., Bruno Oliveira, Pedro Morais, et al.. (2022). Realistic 3D infant head surfaces augmentation to improve AI-based diagnosis of cranial deformities. Journal of Biomedical Informatics. 132. 104121–104121. 1 indexed citations
13.
Oliveira, Bruno, et al.. (2022). Analysis of Current Deep Learning Networks for Semantic Segmentation of Anatomical Structures in Laparoscopic Surgery. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 3502–3505. 9 indexed citations
14.
Veloso, Fernando, D. Miranda, Pedro Morais, et al.. (2022). Study of the compression behavior of functionally graded lattice for customized cranial remodeling orthosis. Journal of the mechanical behavior of biomedical materials. 130. 105191–105191. 3 indexed citations
15.
Torres, Helena R., Sandro Queirós, Pedro Morais, et al.. (2020). Kidney Segmentation in 3-D Ultrasound Images Using a Fast Phase-Based Approach. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 68(5). 1521–1531. 10 indexed citations
16.
Queirós, Sandro, et al.. (2020). A system for the generation of in-car human body pose datasets. Machine Vision and Applications. 32(1). 9 indexed citations
17.
Rodrigues, Nuno F., et al.. (2019). Top-Down Human Pose Estimation with Depth Images and Domain Adaptation. 281–288. 1 indexed citations
18.
Torres, Helena R., Sandro Queirós, Pedro Morais, et al.. (2018). Kidney segmentation in ultrasound, magnetic resonance and computed tomography images: A systematic review. Computer Methods and Programs in Biomedicine. 157. 49–67. 69 indexed citations
19.
Torres, Helena R., Bruno Oliveira, Sandro Queirós, et al.. (2016). Kidney segmentation in 3D CT images using B-Spline Explicit Active Surfaces. RepositóriUM (Universidade do Minho). 18. 1–7. 4 indexed citations
20.
Oliveira, Bruno, et al.. (2006). Prevalence of allergic rhinitis among adolescents from Distrito Federal, Brazil: comparison between ISAAC phases I and III. Jornal de Pediatria. 82(2). 137–143. 22 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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