RogerSoberanis

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Roger 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)
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)
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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