Image Analysis, Computational Modelling and Geometry

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  1. 2022
  2. Published

    A K-function for inhomogeneous random measures with geometric features

    Svane, A. M., Stephensen, Hans Jacob Teglbjærg & Waagepetersen, R., 2022, In: Spatial Statistics. 51, p. 1-30 100656.

    Research output: Contribution to journal › Journal article › Research › peer-review

  3. Published

    A buffered online transfer learning algorithm with multi-layer network

    Kang, Z., Yang, B., Nielsen, Mads, Deng, L. & Yang, S., 2022, In: Neurocomputing. 488, p. 581-597 17 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  4. Published

    A deep learning framework for vertebral morphometry and Cobb angle measurement with external validation

    Alukaev, D., Kiselev, S., Mustafaev, T., Ainur, A., Ibragimov, Bulat & Vrtovec, T., 2022, In: European Spine Journal. 31, p. 2115–2124

    Research output: Contribution to journal › Journal article › Research › peer-review

  5. Published

    AI-based analysis of radiologist's eye movements for fatigue estimation: A pilot study on chest X-rays

    Pershin, I., Kholiavchenko, M., Maksudov, B., Mustafaev, T. & Ibragimov, Bulat, 2022, Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment. Mello-Thoms, C. R., Mello-Thoms, C. R. & Taylor-Phillips, S. (eds.). SPIE, 4 p. 120350Y. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol. 12035).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  6. Published

    An Artificial Intelligence–based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload

    Lauritzen, Andreas, Rodríguez-Ruiz, A., von Euler-Chelpin, My Catarina, Lynge, Elsebeth, Vejborg, I., Nielsen, Mads, Karssemeijer, N. & Lillholm, Martin, 2022, In: Radiology. 304, 1, p. 41-49

    Research output: Contribution to journal › Journal article › Research › peer-review

  7. Published

    An algebra for local histograms

    Sporring, Jon & Darkner, Sune, 2022, In: Frontiers in Computer Science. 4, p. 1-9 939563.

    Research output: Contribution to journal › Journal article › Research › peer-review

  8. Published

    Artificial Intelligence for the Analysis of Workload-Related Changes in Radiologists' Gaze Patterns

    Pershin, I., Kholiavchenko, M., Maksudov, B., Mustafaev, T., Ibragimova, D. & Ibragimov, Bulat, 2022, In: IEEE Journal of Biomedical and Health Informatics. 26, 9, p. 4541-4550

    Research output: Contribution to journal › Journal article › Research › peer-review

  9. Published

    Assessing the fine root growth dynamics of Norway spruce manipulated by air humidity and soil nitrogen with deep learning segmentation of smartphone images

    Sell, M., Smith, Abraham George, Burdun, I., Rohula-Okunev, G., Kupper, P. & Ostonen, I., 2022, In: Plant and Soil. 480, p. 135–150

    Research output: Contribution to journal › Journal article › Research › peer-review

  10. Published

    Atlas generative models and geodesic interpolation

    Stolberg-Larsen, J. & Sommer, Stefan Horst, 2022, In: Image and Vision Computing. 122, 23 p., 104433.

    Research output: Contribution to journal › Journal article › Research › peer-review

  11. Published

    Auto-segmentation of Hip Joints Using MultiPlanar UNet with Transfer Learning

    Xu, Peidi, nsv780, nsv780, Gholamalizadeh, T., Nielsen, Michael Bachmann, Erleben, Kenny & Darkner, Sune, 2022, Medical Image Learning with Limited and Noisy Data: First International Workshop, MILLanD 2022 Held in Conjunction with MICCAI 2022 Singapore, September 22, 2022 Proceedings. Zamzmi, G., Antani, S., Rajaraman, S., Xue, Z., Bagci, U. & Linguraru, M. G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 153-162 10 p. (Medical Image Learning with Limited and Noisy Data, Vol. 13559).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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