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Roger D. Soberanis-Mukul, M.Sc. roger.soberanis@tum.de Chair for Computer Aided Medical Procedures & Augmented Reality Fakultät für Informatik / I-16 Technische Universität München Boltzmannstraße 3 85748 Garching bei München Germany Office Garching: MI 03.013.057 +49 (89) 289-19400 |
Research Interests
- Medical Image Segmentation
- Localization in Medical Imaging
- Machine Learning for Medical Applications
- Deep Learning for Medical Applications
- Convolutional and Graph Convolutional Neural Networks
- Uncertainty Analysis
- Weakly- and Semi-supervised Learning
Publications
| 2020 | |
| R.D. Soberanis-Mukul, N. Navab, S. Albarqouni
An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation MIDL 2020 Special Issue at the Journal of Machine Learning for Biomedical Imaging (MELBA), 2020 (bib) |
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| R.D. Soberanis-Mukul, N. Navab, S. Albarqouni
Uncertainty-based graph convolutional networks for organ segmentation refinement Medical Imaging with Deep Learning (MIDL), 2020 (bib) |
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| S. Ali, F. Zhou, B. Braden, A. Bailey, S. Yang, G. Cheng, P. Zhang, X. Li, M. Kayser, R.D. Soberanis-Mukul, S. Albarqouni, et al.
An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy Scientific Reports, 2020 (bib) |
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| Title: | M.Sc. |
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| Firstname: | Roger D. |
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| Lastname: | Soberanis-Mukul |
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| Nationality: | Mexico |
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| Position: | Scientific Staff |
| Status: | Active |
| Emailbefore: | roger.soberanis |
| Emailafter: | tum.de |
| Room: | MI 03.13.057 |
| Telephone: | +49 89 289 19400 |
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