Image Analysis, Computational Modelling and Geometry

  1. 2024
  2. E-pub ahead of print

    Building an AI Support Tool for Real-Time Ulcerative Colitis Diagnosis

    Møller, Bjørn Leth, Lo, B. Z. S., Burisch, J., Bendtsen, Flemming, Vind, Ida, Ibragimov, Bulat & Igel, Christian, 2024, (E-pub ahead of print) In: KI - Künstliche Intelligenz. 8 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data

    Mehdipour Ghazi, Mostafa, Sørensen, L., Ourselin, S. & Nielsen, Mads, 2024, In: IEEE Transactions on Neural Networks and Learning Systems. 35, 1, p. 792-802

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Published

    Deep Implicit Statistical Shape Models for 3D Lumbar Vertebrae Image Delineation

    Ocepek, D., Podobnik, G., Ibragimov, Bulat & Vrtovec, T., 2024, Medical Imaging 2024: Image Processing. Colliot, O. & Mitra, J. (eds.). SPIE, 1292638. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol. 12926).

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

  5. Published

    Deep-learning versus greyscale segmentation of voids in X-ray computed tomography images of filament-wound composites

    Upadhyay, S., Smith, Abraham George, Vandepitte, D., Lomov, S. V., Swolfs, Y. & Mehdikhani, M., 2024, In: Composites Part A: Applied Science and Manufacturing. 177, 107937.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. Published

    Development and Usability of an Inexpensive and Reusable Phantom for Ultrasound-Guided Needle Cannulation

    Linnet, J., Obinah, M. P., Madsen, M. H., Møller, M. M., Russell, Lene, Ekelund, Kim, Svendsen, M. B. & Thinggaard, Ebbe, 2024, In: Cureus. 16, 1, 10 p., e52583.

    Research output: Contribution to journalJournal articleResearchpeer-review

  7. Published

    Differentiable Rendering as a Way to Program Cable-Driven Soft Robots

    Arnavaz, Kasra & Erleben, Kenny, 2024, arXiv.org, 10 p.

    Research output: Working paperPreprintResearch

  8. Published

    Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification

    Llambias, Sebastian Nørgaard, Nielsen, Mads & Mehdipour Ghazi, Mostafa, 2024, Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}). PMLR, p. 138-144 (Proceedings of Machine Learning Research, Vol. 233).

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

  9. Published

    Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI

    Middleton, Jon Anthony, Bauer, Marko, Johansen, Jacob, Perslev, Mathias, Sheng, K., Ingala, S., Nielsen, Mads & Pai, A., 2024, Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}). PMLR, p. 158-164 (Proceedings of Machine Learning Research, Vol. 233).

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

  10. E-pub ahead of print

    Morphology of the dysplastic hip and the relationship with sex and acetabular version

    Mechlenburg, I., De Raedt, S., Achterberg, H. C., Stilling, M., Rømer, L., Søballe, K. & de Bruijne, Marleen, 2024, (E-pub ahead of print) In: Clinical Anatomy.

    Research output: Contribution to journalJournal articleResearchpeer-review

  11. Published

    Most Probable Paths for Anisotropic Brownian Motions on Manifolds

    Grong, E. & Sommer, Stefan Horst, 2024, In: Foundations of Computational Mathematics. 24, p. 313–345 33 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

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