Roger D. Soberanis-Mukul
Roger D. Soberanis-Mukul
Phd Student, Computer Aided Medical Procedures, Technical University of Munich
Verified email at tum.de
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Year
An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy
S Ali, F Zhou, B Braden, A Bailey, S Yang, G Cheng, P Zhang, X Li, ...
Scientific reports 10 (1), 1-15, 2020
162020
An automatic algorithm for the detection of Trypanosoma cruzi parasites in blood sample images
R Soberanis-Mukul, V Uc-Cetina, C Brito-Loeza, H Ruiz-Piņa
Computer methods and programs in biomedicine 112 (3), 633-639, 2013
72013
Focal loss for artefact detection in medical endoscopy
M Kayser, RD Soberanis-Mukul, S Albarqouni, N Navab
Proceedings of the 2019 Challenge on Endoscopy Artefacts Detection (EAD2019 …, 0
1
Convolutional Neural Network U-Net for Trypanosoma cruzi Segmentation
A Ojeda-Pat, A Martin-Gonzalez, R Soberanis-Mukul
International Symposium on Intelligent Computing Systems, 118-131, 2020
2020
A learning without forgetting approach to incorporate artifact knowledge in polyp localization tasks
RD Soberanis-Mukul, M Kayser, AM Zvereva, P Klare, N Navab, ...
arXiv preprint arXiv:2002.02883, 2020
2020
Uncertainty-based graph convolutional networks for organ segmentation refinement
RD Soberanis-Mukul, N Navab, S Albarqouni
arXiv preprint arXiv:1906.02191, 2019
2019
An Uncertainty-Driven GCN Refinement Strategy for Organ Segmentation.
RD Soberanis-Mukul, S Albarqouni, N Navab
CoRR, 2019
2019
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Articles 1–7