Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Josefine Vilsbøll Sundgaard is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Identifying Nonalcoholic Fatty Liver Disease and Advanced Liver Fibrosis from MRI in UK Biobank
Al-Belmpeisi, R., Sørensen, K. A., Sundgaard, J. V., Nabilou, P., Emerson, M. J., Larsen, P. H., Gluud, L. L., Andersen, T. L. & Dahl, A. B., 2025, Proceedings of the 15th International Workshop Machine Learning in Medical Imaging, MLMI 2024. Springer, Vol. 15242. p. 222-231Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Deep reinforcement learning and convolutional autoencoders for anomaly detection of congenital inner ear malformations in clinical CT images
López Diez, P., Sundgaard, J. V., Margeta, J., Diab, K., Patou, F. & Paulsen, R. R., 2024, In: Computerized Medical Imaging and Graphics. 113, 10 p., 102343.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile59 Downloads (Orbit) -
Multi-modal deep learning for joint prediction of otitis media and diagnostic difficulty
Sundgaard, J. V., Hannemose, M. R., Laugesen, S., Bray, P., Harte, J., Kamide, Y., Tanaka, C., Paulsen, R. R. & Christensen, A. N., 2024, In: Laryngoscope Investigative Otolaryngology. 9, 1, 7 p., e1199.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile51 Downloads (Orbit) -
Multi-modal data generation with a deep metric variational autoencoder
Sundgaard, J. V., Hannemose, M. R., Laugesen, S., Harte, J., Kamide, Y., Tanaka, C., Paulsen, R. R. & Christensen, A. N., 2023, Proceedings of the Northern Lights Deep Learning Workshop 2023. Septentrio Academic Publishing, Vol. 4. 9 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile53 Downloads (Orbit) -
A deep learning approach for detecting otitis media from wideband tympanometry measurements
Sundgaard, J. V., Bray, P., Laugesen, S., Harte, J., Kamide, Y., Tanaka, C., Christensen, A. N. & Paulsen, R. R., 2022, In: IEEE Journal of Biomedical and Health Informatics. 26, 7, p. 2974 - 2982 9735386.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile126 Downloads (Orbit)
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Identifying image derived biomarkers in abdominal MRI scans
Belmpeisi, R. A. (PhD Student), Dahl, A. B. (Main Supervisor), Sundgaard, J. V. (Supervisor) & Larsen, P. H. (Supervisor)
15/09/2023 → 14/09/2026
Project: PhD
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Deep learning for identifying biomarkers in medical images
Dahl, A. B. (PI), Christensen, A. N. (Supervisor) & Sundgaard, J. V. (Project Participant)
15/10/2022 → 14/10/2025
Project: Research
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Deep learning methods for pediatric middle ear diagnostics
Sundgaard, J. V. (PhD Student), Reyes, M. (Examiner), Paulsen, R. R. (Main Supervisor), Christensen, A. N. (Supervisor), Laugesen, S. (Supervisor), Dyrby, T. B. (Examiner) & Østergaard, L. R. (Examiner)
01/05/2019 → 12/09/2022
Project: PhD
Activities
- 1 Conference presentations
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Evaluation of respiratory motion correction in PET/CT using a 3D printed phantom
Vilsbøll, J. H. (Speaker), S. W. Hasler, H. (Guest lecturer), Duchstein, L. D. L. (Guest lecturer), Wilhjelm, J. E. (Guest lecturer) & Lonsdale, M. N. (Guest lecturer)
22 Oct 2017Activity: Talks and presentations › Conference presentations