Publikationer pr. år
Publikationer pr. år
Personlig profil
Kort præsentation
Silas is a Post Doc researcher affiliated with the Center for Quantification of Imaging Data from Max IV (QIM).
Silas received a Ph.D degree in medical image analysis in 2019 and a Master's degree in computer sicence in 2016, both from the Department of Computer Science, University of Copenhagen. His main area of research is within biomedical image analysis with an emphasis on the practical application of machine learning in settings where labeled data are scarce, expensive and noisy. This includes weakly supervised machine learning, as well as image annotation strategies such as crowdsourcing, visual similarity and low-effort annotations.
Fingeraftryk
Dyk ned i forskningsemnerne, hvor Silas Nyboe Ørting er aktive. Disse emneetiketter kommer fra dennes persons arbejder. Sammen danner de et unikt fingerprint.
- 6 Lignende profiler
Publikation
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Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem
Tennakoon, R., Bortsova, G., Orting, S., Gostar, A. K., Wille, M. M. W., Saghir, Z., Hoseinnezhad, R., de Bruijne, M. & Bab-Hadiashar, A., apr. 2020, I: IEEE Transactions on Medical Imaging.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Learning to quantify emphysema extent: What labels do we need?
Orting, S. N., Petersen, J., Thomsen, L. H., Winkler Wille, M. M. & Bruijne, M. D., apr. 2020, I: IEEE Journal of Biomedical and Health Informatics.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation
Kouw, W. M., Ørting, S. N., Petersen, J., Pedersen, K. S. & de Bruijne, M., 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 Verlag, s. 360-371 12 s. (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 › peer review
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Assessing emphysema in CT scans of the lungs: Using machine learning, crowdsourcing and visual similarity
Ørting, S. N., 2019, Department of Computer Science, Faculty of Science, University of Copenhagen. 89 s.Publikation: Bog/antologi/afhandling/rapport › Ph.d.-afhandling
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Deep Learning from Label Proportions for Emphysema Quantification
Bortsova, G., Dubost, F., Ørting, S., Katramados, I., Hogeweg, L., Thomsen, L., Wille, M. & de Bruijne, M., 2018, Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: 21st International Conference, 2018, Proceedings Part II. Frangi, A. F., Schnabel, J. A., Davatzikos, C., Alberola-López, C. & Fichtinger, G. (red.). Springer, s. 768-776 (Lecture notes in computer science, Bind 11071).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
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Detecting emphysema with multiple instance learning
Orting, S. N., Petersen, J., Thomsen, L. H., Wille, M. M. W. & De Bruijne, M., 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 › peer review
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Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans
Nyboe Ørting, S., Petersen, J., Cheplygina, V., Thomsen, L. H., Wille, M. M. W. & De Bruijne, M., 2018, Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis: 7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018 Held in Conjunction with MICCAI 2018 Granada, Spain, September 16, 2018 Proceedings. Stoyanov, D., Taylor, Z., Balocco, S. & Sznitman, R. (red.). Springer, s. 140-149 Chapter 16. (Lecture Notes in Computer Science, Bind 11043).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review
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Crowdsourced emphysema assessment
Ørting, S. N., Cheplygina, V., Petersen, J., Thomsen, L. H., Wille, M. M. W. & de Bruijne, M., 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 › peer review