Luis Carlos Rivera Monroy, M. Sc.
Luis Carlos Rivera Monroy, M. Sc.
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
2025
Unpublished Publications
Graph Neural Networks in Multi-Stained Pathological Imaging: Extended Comparative Analysis of Radiomic Features
(2025)
DOI: 10.21203/rs.3.rs-4241891/v1
BibTeX: Download
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2024
Journal Articles
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
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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
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Conference Contributions
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
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2023
Conference Contributions
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
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2022
Conference Contributions
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
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2020
Book Contributions
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
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2018
Journal Articles
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
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Conference Contributions
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
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2017
Conference Contributions
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
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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 | running |
MA thesis | Refining Image Segmentation on the BRATS Challenge 2023 | finished |
Project | Brain Tumour Segmentation Focused on Complex Sub-regions | finished |
MA thesis | Deep learning method for emotion recognition through the Fusion of body and context features | finished |