Mauricio Reyes

10.6k total citations · 1 hit paper
154 papers, 4.0k citations indexed

About

Mauricio Reyes is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Mauricio Reyes has authored 154 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Radiology, Nuclear Medicine and Imaging, 46 papers in Computer Vision and Pattern Recognition and 26 papers in Biomedical Engineering. Recurrent topics in Mauricio Reyes's work include Radiomics and Machine Learning in Medical Imaging (40 papers), Medical Image Segmentation Techniques (31 papers) and Glioma Diagnosis and Treatment (20 papers). Mauricio Reyes is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (40 papers), Medical Image Segmentation Techniques (31 papers) and Glioma Diagnosis and Treatment (20 papers). Mauricio Reyes collaborates with scholars based in Switzerland, United States and Portugal. Mauricio Reyes's co-authors include Roland Wiest, Stefan Bauer, Lutz-P. Nolte, Raphael Meier, Carlos A. Silva, Sérgio Pereira, Johannes Slotboom, Richard McKinley, Ronald M. Summers and Stefan Weber and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mauricio Reyes

143 papers receiving 3.9k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A survey of MRI-based medical image analysis for brain tumor studies

2013 686 citations Stefan Bauer, Roland Wiest et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mauricio Reyes	1.4k	1.4k	1.2k	734	720	154	4.0k
Ron Kikinis	1.8k 1.2×	2.3k 1.6×	482 0.4×	352 0.5×	1.1k 1.5×	84	5.2k
Wiesław L. Nowinski	1.4k 1.0×	1.6k 1.1×	316 0.3×	275 0.4×	874 1.2×	221	4.1k
Yaozong Gao	2.2k 1.5×	1.8k 1.3×	589 0.5×	1.2k 1.6×	1.0k 1.4×	124	4.5k
Ghassan Hamarneh	1.9k 1.3×	2.7k 1.9×	287 0.2×	1.8k 2.4×	1.1k 1.5×	252	6.7k
Ulaş Bağcı	2.1k 1.4×	1.2k 0.8×	255 0.2×	934 1.3×	636 0.9×	217	4.2k
Wei Yang	1.8k 1.2×	1.5k 1.1×	1.1k 1.0×	923 1.3×	883 1.2×	175	3.7k
Hongen Liao	829 0.6×	1.6k 1.2×	128 0.1×	346 0.5×	1.7k 2.4×	266	4.8k
Jan Egger	769 0.5×	898 0.6×	105 0.1×	470 0.6×	951 1.3×	164	2.9k
Anne L. Martel	1.9k 1.3×	978 0.7×	238 0.2×	1.4k 1.8×	481 0.7×	132	4.0k

Countries citing papers authored by Mauricio Reyes

Since Specialization

Citations

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

Fields of papers citing papers by Mauricio Reyes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauricio Reyes

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

All Works

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20 of 20 papers shown

Willmann, Jonas, et al.. (2025). Predicting the impact of target volume contouring variations on the organ at risk dose: results of a qualitative survey. Radiotherapy and Oncology. 210. 110999–110999.

Müller, Michael, et al.. (2025). AUDIT: An open-source Python library for AI model evaluation with use cases in MRI brain tumor segmentation. Computer Methods and Programs in Biomedicine. 271. 108991–108991.

Mahapatra, Dwarikanath, Behzad Bozorgtabar, Zongyuan Ge, & Mauricio Reyes. (2024). GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification. Medical Image Analysis. 93. 103075–103075. 5 indexed citations

Mahapatra, Dwarikanath, Ruwan Tennakoon, Yasmeen George, et al.. (2024). ALFREDO: Active Learning with FeatuRe disEntangelement and DOmain adaptation for medical image classification. Medical Image Analysis. 97. 103261–103261. 3 indexed citations

Mortanges, Aurélie Pahud de, et al.. (2024). Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging. npj Digital Medicine. 7(1). 195–195. 21 indexed citations

Willmann, Jonas, Nicolaus Andratschke, Ekin Ermiş, et al.. (2023). Deep-Learning-Based Dose Predictor for Glioblastoma–Assessing the Sensitivity and Robustness for Dose Awareness in Contouring. Cancers. 15(17). 4226–4226. 5 indexed citations

Reyes, Mauricio, et al.. (2023). Hermansky-Pudlak Syndrome: A Comprehensive Review of Clinical Presentation, Pathogenesis, and Therapeutic Strategies. International Journal of Medical Science and Clinical Research Studies. 3(11). 1 indexed citations

Suter, Yannick, et al.. (2023). PyRaDiSe: A Python package for DICOM-RT-based auto-segmentation pipeline construction and DICOM-RT data conversion. Computer Methods and Programs in Biomedicine. 231. 107374–107374. 6 indexed citations

Benz, Dominik C., Sarah Cuddy, Stephan Dobner, et al.. (2023). Current and Evolving Multimodality Cardiac Imaging in Managing Transthyretin Amyloid Cardiomyopathy. JACC. Cardiovascular imaging. 17(2). 195–211. 14 indexed citations

10.

Pérez-Beteta, Julián, David Molina-García, Yannick Suter, et al.. (2023). A comprehensive dataset of annotated brain metastasis MR images with clinical and radiomic data. Scientific Data. 10(1). 208–208. 23 indexed citations

11.

Suter, Yannick, Urspeter Knecht, Waldo Valenzuela, et al.. (2022). The LUMIERE dataset: Longitudinal Glioblastoma MRI with expert RANO evaluation. Scientific Data. 9(1). 768–768. 13 indexed citations

12.

Reyes, Mauricio, et al.. (2022). Design of an eOSCE for the Chilean Healthcare Context. International Journal of Online and Biomedical Engineering (iJOE). 18(13). 56–72.

13.

Suter, Yannick, Urspeter Knecht, Waldo Valenzuela, et al.. (2020). Radiomics for glioblastoma survival analysis in pre-operative MRI: exploring feature robustness, class boundaries, and machine learning techniques. Cancer Imaging. 20(1). 55–55. 43 indexed citations

14.

Chandran, Vimal, Ghislain Maquer, Thomas M. Gerig, Philippe K. Zysset, & Mauricio Reyes. (2018). Supervised learning for bone shape and cortical thickness estimation from CT images for finite element analysis. Medical Image Analysis. 52. 42–55. 24 indexed citations

15.

Chandran, Vimal, Mauricio Reyes, & Philippe K. Zysset. (2017). A novel registration-based methodology for prediction of trabecular bone fabric from clinical QCT: A comprehensive analysis. PLoS ONE. 12(11). e0187874–e0187874. 7 indexed citations

16.

Gerber, Nicolas, Mauricio Reyes, Hans Martin Kjer, et al.. (2017). A multiscale imaging and modelling dataset of the human inner ear. Scientific Data. 4(1). 170132–170132. 39 indexed citations

17.

Maquer, Ghislain, et al.. (2014). Including the trabecular anisotropy from registered microCT data in homogenized FE model improves the bone's mechanical predictions. Bern Open Repository and Information System (University of Bern). 1 indexed citations

18.

Vermathen, Peter, et al.. (2013). iSix - Image Segmentation in Osirix. Bern Open Repository and Information System (University of Bern). 1 indexed citations

19.

Meier, Raphael, Stefan Bauer, Johannes Slotboom, Roland Wiest, & Mauricio Reyes. (2013). A Hybrid Model for Multimodal Brain Tumor Segmentation. Bern Open Repository and Information System (University of Bern). 54 indexed citations

20.

Gavaghan, Kate, et al.. (2011). Portable image overlay projection for the visualization of surgical planning and navigation data. Bern Open Repository and Information System (University of Bern). 1 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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