Jens Petersen

Jens Petersen

Associate Professor


  1. Published

    Learning to quantify emphysema extent: What labels do we need?

    Orting, S. N., 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 -1159

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Published

    Detecting emphysema with multiple instance learning

    Orting, S. N., Petersen, Jens, Thomsen, L. H., Wille, M. M. W. & de Bruijne, Marleen, 23 May 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE, p. 510-513

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  3. Published

    Population-based Incidence of Myopericarditis After COVID-19 Vaccination in Danish Adolescents

    Nygaard, Ulrikka, Holm, M., Bohnstedt, Cathrine, Chai, Q., Schmidt, Lisbeth Samsø, Hartling, U. B., Petersen, Jens, Thaarup, J., Bjerre, J., Vejlstrup, N. G., Juul, K. & Stensballe, Lone Graff, Jan 2022, In: Pediatric Infectious Disease Journal. 41, 1, p. E25-E28 4 p.

    Research output: Contribution to journalLetterResearchpeer-review

  4. Published

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

    Nyboe Ørting, S., 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. (eds.). Springer, p. 140-149 Chapter 16. (Lecture Notes in Computer Science, Vol. 11043).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  5. Published

    Airway distensibility in chronic obstructive pulmonary disease – evaluation by CT airway segmentation and lung density measurement based on the Danish lung cancer screening trial

    M. W. Wille, M., Petersen, Jens, Dirksen, A., Pedersen, J. J. H. & de Bruijne, Marleen, 2013, In: American Journal of Respiratory and Critical Care Medicine. 187, p. A2871 1 p.

    Research output: Contribution to journalConference abstract in journalResearchpeer-review

  6. Published

    Carotid artery lumen segmentation in 3D free-hand ultrasound images using surface graph cuts

    Lorza, A. M. A., Carvalho, D. D. B., Petersen, Jens, Dijk, A. C. V., Lugt, A. V. D., Niessen, W. J., Klein, S. & de Bruijne, Marleen, 2013, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II. Mori, K., Sakuma, I., Sato, Y., Barillot, C. & Navab, N. (eds.). Springer, p. 542-549 8 p. (Lecture notes in computer science, Vol. 8150).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  7. Published

    Diagnosis of bronchiectasis and airway wall thickening in children with cystic fibrosis: objective airway-artery quantification

    Kuo, W., de Bruijne, Marleen, Petersen, Jens, Nasserinejad, K., Ozturk, H., Chen, Y., Perez-Rovira, A. & Tiddens, H. A. W. M., Nov 2017, In: European Radiology. 27, 11, p. 4680-4689 10 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Published

    A Cross-Center Smoothness Prior for Variational Bayesian Brain Tissue Segmentation

    Kouw, W. M., Ørting, S. N., 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 proceedingArticle in proceedingsResearchpeer-review

  9. Published

    Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

    Jimenez-Solem, E., Petersen, T. S., Hansen, C., Hansen, C., Lioma, C., Igel, C., Boomsma, W., Krause, O., Lorenzen, S., Selvan, R., Petersen, J., Nyeland, M. E., Ankarfeldt, M. Z., Virenfeldt, G. M., Winther-Jensen, M., Linneberg, A., Ghazi, M. M., Detlefsen, N., Lauritzen, A. D., Smith, A. G. & 15 others, 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 journalJournal articleResearchpeer-review

  10. Published

    Structural characterisation of multilayer lipid bilayer by small-angel neutron and X-ray scattering

    Ishoy, T., Lemmich, J., Ipsen, J., Honger, T., Petersen, Jens, Kharkar, J., Nylander, T., Mortensen, Kell, Bauer, R. & Mouritsen, Ole G., 1 Jan 2001, In: Biophysical Society. Annual Meeting. Abstracts. 80, 1, p. 522A-522A

    Research output: Contribution to journalJournal articleResearchpeer-review

ID: 22733621