Personal profile
Research interests
Interested in biomedical image processing (currently segmentation)
Education/Academic qualification
Master, Dimensionality Reduction applied to SURF and SIFT descriptors, University of Campinas (UNICAMP)
1 Mar 2011 → 28 Feb 2014
Award Date: 28 Feb 2014
Keywords
- QA75 Electronic computers. Computer science
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
- 5 Article
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Accuracy of deep learning-based AI models for early caries lesion detection: the influence of annotation quality and reference choice
Gonzalez-Valenzuela, R. E., Mettes, P., Loos, B. G., Marquering, H. & Berkhout, E., 1 Dec 2025, In: Clinical oral investigations. 29, 12, 598.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile27 Downloads (Pure) -
Microtomography to traditional dental radiograph: projecting 3-dimensional initial proximal caries lesion annotations for enhanced radiographic delineation
Gonzalez-Valenzuela, R. E., Vu, Q. T. D., Mettes, P., Loos, B. G., Marquering, H. & Berkhout, E., 1 May 2025, In: Dento maxillo facial radiology. 54, 4, p. 320-328 9 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile25 Downloads (Pure) -
Efficient Fusion of Multidimensional Descriptors for Image Retrieval
Gonzalez Valenzuela, R. E., Bhowmik, N., Gouet-Brunet, V. & Pedrini, H., 2014, In: International Conference on Image Processing.Research output: Contribution to journal › Article › Academic › peer-review
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Linear Dimensionality Reduction using SIFT and SURF Feature Descriptors
Gonzalez Valenzuela, R. E., Pedrini, H. & Schwartz, W., 2014, In: Journal of Electronic Imaging.Research output: Contribution to journal › Article › Academic › peer-review
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Dimensionality Reduction through LDA and Bag-of-Features Applied to Image Retrival
Gonzalez Valenzuela, R. E., Pedrini, H. & Schwartz, W., 2013, In: Thematic Conference on Computational Vision and Medical Image Processing.Research output: Contribution to journal › Article › Academic › peer-review