Jon Anthony Middleton
Industrial PhD
Image Analysis, Computational Modelling and Geometry
Universitetsparken 1, 2100 København Ø
1 - 4 out of 4Page size: 10
- 2023
- Published
Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders
Middleton, Jon Anthony, Bauer, Marko, Johansen, Jacob, Nielsen, M., Sommer, Stefan Horst & Pai, A. S. U., 2023, Medical Applications with Disentanglements .Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2022
- Published
Automated Identification of Multiple Findings on Brain MRI for Improving Scan Acquisition and Interpretation Workflows: A Systematic Review
Sheng, K., Offersen, C. M., Middleton, Jon Anthony, Carlsen, Jonathan Frederik, Truelsen, Thomas Clement, Pai, A., Johansen, Jacob & Nielsen, Michael Bachmann, Aug 2022, In: Diagnostics. 12, 8, 19 p., 1878.Research output: Contribution to journal › Review › peer-review
- 2021
- Published
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Jimenez-Solem, E., Petersen, Tonny Studsgaard, Hansen, C., Hansen, C., Lioma, Christina, Igel, Christian, Boomsma, Wouter, Krause, Oswin, Lorenzen, S., Selvan, Raghav, Petersen, Janne, Nyeland, M. E., Ankarfeldt, Mikkel Zöllner, Virenfeldt, G. M., Winther-Jensen, M., Linneberg, Allan René, Mehdipour Ghazi, Mostafa, Detlefsen, N., Lauritzen, Andreas, Smith, Abraham George, de Bruijne, Marleen, Ibragimov, Bulat, Petersen, Jens, Lillholm, Martin, Middleton, Jon Anthony, Mogensen, S. H., Thorsen-Meyer, H., Perner, Anders, Helleberg, M., Kaas-Hansen, Benjamin Skov, Bonde, M., Bonde, A., Pai, A., Nielsen, Mads & Sillesen, Martin Hylleholt, 2021, In: Scientific Reports. 11, 1, 12 p., 3246.Research output: Contribution to journal › Journal article › peer-review
- 2020
- Published
Uncertainty quantification in medical image segmentation with normalizing flows
Selvan, Raghav, Faye, F., Middleton, Jon Anthony & Pai, A., 2020, Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings. Springer, 12 p. (Lecture Notes in Computer Science, Vol. 12436).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 230170193
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Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Research output: Contribution to journal › Journal article › peer-review
Published -
21
downloads
Uncertainty quantification in medical image segmentation with normalizing flows
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Published