Silas Nyboe Ørting
Postdoc
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1, 2100 København Ø
- 2023
- Published
Artificial intelligence enabled ECG screening for left ventricular systolic dysfunction: a systematic review
Bjerkén, L. V., Rønborg, S. N., Jensen, M. T., Ørting, Silas Nyboe & Nielsen, Olav Wendelboe, 2023, In: Heart Failure Reviews. 28, 2, p. 419-430Research output: Contribution to journal › Review › Research › peer-review
- E-pub ahead of print
Morphology on Categorical Distributions
Ørting, Silas Nyboe, Stephensen, Hans Jacob Teglbjærg & Sporring, Jon, 2023, (E-pub ahead of print) In: Journal of Mathematical Imaging and Vision. 13 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 2021
- Published
Locally orderless tensor networks for classifying two- and three-dimensional medical images
Selvan, Raghav, Ørting, Silas Nyboe & Dam, Erik Bjørnager, 2021, In: The Journal of Machine Learning for Biomedical Imaging. 5, SI, p. 1-21Research output: Contribution to journal › Conference article › Research › peer-review
- 2020
- Published
- Published
A small note on variation in segmentation annotations
Ørting, Silas Nyboe, 3 Dec 2020, In: arXiv. 6 p.Research output: Contribution to journal › Journal article › Research
- Published
A Survey of Crowdsourcing in Medical Image Analysis
Ørting, Silas Nyboe, Doyle, A., van Hilten, Arno, Hirth, M., Inel, O., Madan, C. R., Mavridis, P., Spiers, H. & Cheplygina, V., 2020, In: Human Computation. 7, 26 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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, In: IEEE Transactions on Medical Imaging. 39, 4, p. 854-865Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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, In: IEEE Journal of Biomedical and Health Informatics. 24, 4, p. 1149 -1159Research output: Contribution to journal › Journal article › Research › peer-review
- Published
- 2019
- Published
A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation
Kouw, W. M., Ørting, Silas Nyboe, Petersen, Jens, Steenstrup Pedersen, Kim & 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. (eds.). Springer, p. 360-371 (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
ID: 156727261
Most downloads
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343
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Assessing emphysema in CT scans of the lungs: Using machine learning, crowdsourcing and visual similarity
Research output: Book/Report › Ph.D. thesis › Research
Published -
122
downloads
Quantifying emphysema extent from weakly labeled CT scans of the lungs using label proportions learning
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published