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
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
BibTeX: Download
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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
BibTeX: Download
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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
BibTeX: Download
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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
BibTeX: Download
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Lectures
Lecture (VORL)
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Medical Image Processing for Interventional Applications (online course)
mathematics for engineering; This lecture focuses on interventional procedures. It is recommended but not necessary to attend Medical Image Processing for Diagnostic Applications (MIPDA) before.
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Medical Image Processing for Diagnostic Applications (VHB course)
Requirements: mathematics for engineering
Organization:
This is an online course of Virtuelle Hochschule Bayern (VHB).
Go to https://www.vhb.org to register to this course.
FAU students register for the written exam via meinCampus.
Student Thesis and Research Projects
Type | Title | Status |
---|---|---|
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 |