Silas Nyboe Ørting
Postdoc
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1, 2100 København Ø, Bygning: 1.11
ORCID: 0000-0002-3081-1547
1 - 1 ud af 1Pr. side: 10
- 2017
- Udgivet
Crowdsourced emphysema assessment
Ørting, Silas Nyboe, Cheplygina, V., Petersen, Jens, Thomsen, L. H., Wille, M. M. W. & de Bruijne, Marleen, 2017, Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis: 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings. Cardoso, M. J., Arbel, T., Lee, S-L., Cheplygina, V., Balocco, S., Mateus, D., Zahnd, G., Maier-Hein, L., Dermirci, S., Granger, E., Duong, L., Carbonneau, M-A., Albarquoni, S. & Carneiro, G. (red.). Springer, s. 126-135 10 s. (Lecture notes in computer science, Bind 10552).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
ID: 156727261
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258
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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
Udgivet -
174
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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
Udgivet