Luis Carlos Rivera Monroy, M. Sc.
Luis Carlos Rivera Monroy, M. Sc.
Researcher
Martensstr. 3
91058 Erlangen
Germany
Chair of Computer Science 5 (Pattern Recognition)
Department of Computer Science
Martensstr. 3
91058 Erlangen
Germany
- Phone number: +49 9131 85-27775
- Fax number: +49 9131 85-27270
- Email: luis.rivera@fau.de
- Website: https://lme.tf.fau.de/person/rivera/
Academic CV
- Since 11/2020:
Ph.D. Student at Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg - 09/2017 – 06/2020:
Master of Science in Medical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg - 06/2015 – 06/2018:
Researcher at the Biomedical Computer Vision Group (BCV), Biomedical Engineering Department, Universidad de los Andes, Bogota-Colombia - 01/2013 – 05/2017:
Bachelor in Biomedical Engineering, Universidad de los Andes, Bogota-Colombia
Projects
No projects found.
Publications
2024
Journal Articles
- Rivera Monroy LC., Rist L., Ostalecki C., Bauer A., Vera J., Breininger K., Maier A.:
Graph neural networks in multi-stained pathological imaging: extended comparative analysis of Radiomic features
In: International Journal of Computer Assisted Radiology and Surgery (2024)
ISSN: 1861-6410
DOI: 10.1007/s11548-024-03277-x
BibTeX: Download - Rivera Monroy LC., Rist L., Wilm F., Ostalecki C., Baur A., Vera González J., Breininger K., Maier A.:
Multi-level cancer profiling through joint cell-graph representations
In: Smart Health 32 (2024), p. 100470
ISSN: 2352-6483
DOI: 10.1016/j.smhl.2024.100470
BibTeX: Download
Conference Contributions
- Rivera Monroy LC., Rist L., Eberhardt M., Ostalecki C., Bauer A., Vera J., Breininger K., Maier A.:
Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data using Graph Neural Networks
Bildverarbeitung für die Medizin 2024 (Erlangen, March 10, 2024 - March 12, 2024)
DOI: 10.1007/978-3-658-44037-4_49
BibTeX: Download
2023
Conference Contributions
- Rivera Monroy LC., Rist L., Eberhardt M., Ostalecki C., Baur A., Vera J., Breininger K., Maier A.:
Employing Graph Representations for Cell-Level Characterization of Melanoma MELC Samples
IEEE International Symposium on Biomedical Imaging (Cartagena, April 18, 2023 - April 21, 2023)
In: IEEE (ed.): 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) 2023
DOI: 10.1109/ISBI53787.2023.10230519
BibTeX: Download
2022
Conference Contributions
- Rivera Monroy LC., Eberhardt M., Ostalecki C., Baur A., Vera J., Maier A.:
Melanoma Segmentation and Classification Employing Imaging and Graph Encodings
7th IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2022 (Washington, DC, November 17, 2022 - November 19, 2022)
In: Proceedings - 2022 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2022 2022
DOI: 10.1145/3551455.3559153
BibTeX: Download
2020
Book Contributions
- Maier J., Rivera Monroy LC., Syben-Leisner C., Jeon Y., Choi JH., Hall M., Levenston M., Gold G., Fahrig R., Maier A.:
Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-Beam CT
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Bildverarbeitung für die Medizin 2020, Wiesbaden: Springer Vieweg, 2020, p. 67-72 (Informatik aktuell)
ISBN: 9783658292669
DOI: 10.1007/978-3-658-29267-6_14
BibTeX: Download
2018
Journal Articles
- Winzeck S., Hakim A., Mckinley R., Pinto JAADSR., Alves V., Silva C., Pisov M., Krivov E., Belyaev M., Monteiro M., Oliveira A., Choi Y., Palk MC., Kwon Y., Lee H., Kim BJ., Won JH., Islam M., Ren H., Robben D., Suetens P., Gong E., Niu Y., Xu J., Pauly JM., Lucas C., Heinrich MP., Rivera LC., Castillo LS., Daza LA., Beers AL., Arbelaers P., Maier O., Chang K., Brown JM., Kapalthy-Cramer J., Zaharchuk G., Wiest R., Reyes M.:
ISLES 2016 and 2017-benchmarking ischemic stroke lesion outcome prediction based on multispectral MRI
In: Frontiers in Neurology 9 (2018), Article No.: 679
ISSN: 1664-2295
DOI: 10.3389/fneur.2018.00679
BibTeX: Download
Conference Contributions
- Silvana Castillo L., Alexandra Daza L., Rivera LC., Arbelaez P.:
Brain Tumor segmentation and parsing on MRIs using multiresolution neural networks
3rd International Workshop on Brainlesion, BrainLes 2017 Held in Conjunction with Medical Image Computing for Computer Assisted Intervention , MICCAI 2017 (Quebec City, QC, September 14, 2017 - September 14, 2017)
In: Bjoern Menze, Alessandro Crimi, Hugo Kuijf, Mauricio Reyes, Spyridon Bakas (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2018
DOI: 10.1007/978-3-319-75238-9_29
BibTeX: Download
2017
Conference Contributions
- Silvana Castillo L., Alexandra Daza L., Rivera LC., Arbelaez P.:
Volumetric multimodality neural network for brain tumor segmentation
13th International Conference on Medical Information Processing and Analysis, SIPAIM 2017 (San Andres Island, October 5, 2017 - October 7, 2017)
In: Natasha Lepore, Jorge Brieva, Juan David Garcia, Eduardo Romero (ed.): Proceedings of SPIE - The International Society for Optical Engineering 2017
DOI: 10.1117/12.2285942
BibTeX: Download
Lectures
No matching records found.
Student Thesis and Research Projects
| Type | Title | Status |
|---|---|---|
| BA thesis | Brain Tumor Segmentation with Focus on Complex Subregions | finished |
| MA thesis | Graph Neural Networks in Pathological Speech | finished |
| MA thesis | Refining Image Segmentation on the BRATS Challenge 2023 | finished |
| Project | Brain Tumour Segmentation Focused on Complex Sub-regions | finished |
| MA thesis | Multi-domain Stain Normalization for Digital Pathology (MELC Images) | open |
| MA thesis | Deep learning method for emotion recognition through the Fusion of body and context features | finished |