Silas Nyboe Ørting
Postdoc
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1, 2100 København Ø, Bygning: 1.11
- 2020
- Udgivet
- Udgivet
A small note on variation in segmentation annotations
Ørting, Silas Nyboe, 3 dec. 2020, I : arXiv.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning
- Udgivet
Multi-layered tensor networks for image classification
Selvan, Raghav, Ørting, Silas Nyboe & Dam, Erik Bjørnager, 13 nov. 2020, First Workshop on Quantum Tensor Networks in Machine Learning. In conjunction with 34th NeurIPS, 2020.. (arXiv).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
- Udgivet
Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem
Tennakoon, R., Bortsova, G., Ørting, Silas Nyboe, Gostar, A. K., Wille, M. M. W., Saghir, Zaigham, Hoseinnezhad, R., de Bruijne, Marleen & Bab-Hadiashar, A., 2020, I : IEEE transactions on medical imaging. 39, 4, s. 854-865Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Learning to quantify emphysema extent: What labels do we need?
Ørting, Silas Nyboe, Petersen, Jens, Thomsen, L. H., Winkler Wille, M. M. & de Bruijne, Marleen, 2020, I : IEEE Journal of Biomedical and Health Informatics. 24, 4, s. 1149 -1159Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 2019
- Udgivet
A Survey of Crowdsourcing in Medical Image Analysis
Ørting, Silas Nyboe, Doyle, A., Hilten, A. V., Hirth, M., Inel, O., Madan, C. R., Mavridis, P., Spiers, H. & Cheplygina, V., 25 feb. 2019, I : arXiv.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning
- Udgivet
A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation
Kouw, W. M., Ørting, Silas Nyboe, Petersen, Jens, Pedersen, Kim Steenstrup & de Bruijne, Marleen, 1 jan. 2019, Information Processing in Medical Imaging : 26th International Conference, IPMI 2019, Proceedings. Bao, S., Chung, A. C. S., Gee, J. C. & Yushkevich, P. A. (red.). Springer, s. 360-371 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11492 LNCS).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Assessing emphysema in CT scans of the lungs: Using machine learning, crowdsourcing and visual similarity
Ørting, Silas Nyboe, 2019, Department of Computer Science, Faculty of Science, University of Copenhagen. 89 s.Publikation: Bog/antologi/afhandling/rapport › Ph.d.-afhandling › Forskning
- 2018
- Udgivet
Detecting emphysema with multiple instance learning
Ørting, Silas Nyboe, Petersen, Jens, Thomsen, L. H., Wille, M. M. W. & de Bruijne, Marleen, 23 maj 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE, s. 510-513Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
ID: 156727261
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Quantifying emphysema extent from weakly labeled CT scans of the lungs using label proportions learning
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Assessing emphysema in CT scans of the lungs: Using machine learning, crowdsourcing and visual similarity
Publikation: Bog/antologi/afhandling/rapport › Ph.d.-afhandling › Forskning
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