Silas Nyboe Ørting

2020

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

1 Citationer (Scopus)

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

1 Citationer (Scopus)

2019

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).

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3 Citationer (Scopus)

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

69 Downloads (Pure)

2018

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).

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5 Citationer (Scopus)

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. 510-513

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4 Citationer (Scopus)

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).

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2017

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).

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2 Citationer (Scopus)

2016

Quantifying emphysema extent from weakly labeled CT scans of the lungs using label proportions learning

Ørting, S. N., Petersen, J., Wille, M., Thomsen, L. & de Bruijne, M., 2016, The Sixth International Workshop on Pulmonary Image Analysis. Beichel, R. R., Farahani, K., Jacobs, C., Kabus, S., Kiraly, A. P., Kuhnigk, J-M., McClelland, J. R., Mori, K., Petersen, J. & S. R. (red.). CreateSpace Independent Publishing Platform , s. 31-42 11 s.

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215 Downloads (Pure)

Training shortest-path tractography: automatic learning of spatial priors

Kasenburg, N., Liptrot, M. G., Reislev, N. L., Ørting, S. N., Nielsen, M., Garde, E. & Feragen, A., 15 apr. 2016, I: NeuroImage. 130, s. 63-76 14 s.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

8 Citationer (Scopus)

2014

Graph-based fibre tractography computing shortest paths between regions of interest

Kasenburg, N., Liptrot, M. G., Borgwardt, K., Ørting, S. N., Nielsen, M. & Feragen, A., 2014. 1 s.

Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › peer review

Silas Nyboe Ørting

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