Research output per year
Research output per year
Personal profile
Short presentation
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.
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Research output
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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, In: IEEE Transactions on Medical Imaging.Research output: Contribution to journal › Journal article › Research › 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, In: IEEE Journal of Biomedical and Health Informatics.Research output: Contribution to journal › Journal article › Research › 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. (eds.). Springer Verlag, p. 360-371 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11492 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › 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 p.Research output: Book/Report › Ph.D. thesis
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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. (eds.). Springer, p. 768-776 (Lecture notes in computer science, Vol. 11071).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › 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 May 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE, p. 510-513Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › 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. (eds.). Springer, p. 140-149 Chapter 16. (Lecture Notes in Computer Science, Vol. 11043).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › 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. (eds.). Springer, p. 126-135 10 p. (Lecture notes in computer science, Vol. 10552).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review