Silas Nyboe Ørting

Silas Nyboe Ørting

Postdoc


  1. 2020
  2. 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. 854-865

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  3. 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. 149 - 1159

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  4. 2019
  5. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  6. 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/rapportPh.d.-afhandlingForskning

  7. 2018
  8. 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. 510-513

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  9. Udgivet

    Deep Learning from Label Proportions for Emphysema Quantification

    Bortsova, G., Dubost, F., Ørting, Silas Nyboe, Katramados, I., Hogeweg, L., Thomsen, L., Wille, M. & de Bruijne, Marleen, 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  10. Udgivet

    Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans

    Ørting, Silas Nyboe, Petersen, Jens, Cheplygina, V., Thomsen, L. H., Wille, M. M. W. & de Bruijne, Marleen, 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  11. 2017
  12. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  13. 2016
  14. Udgivet

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

    Ørting, Silas Nyboe, Petersen, Jens, Wille, M., Thomsen, L. & de Bruijne, Marleen, 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.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  15. Udgivet

    Training shortest-path tractography: automatic learning of spatial priors

    Kasenburg, N., Liptrot, M. G., Reislev, N. L., Ørting, Silas Nyboe, Nielsen, Mads, Garde, E. & Feragen, Aasa, 2016, I : NeuroImage. 130, s. 63-76 14 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

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