Mads Nielsen

Mads Nielsen

Professor

ORCID: 0000-0003-1535-068X

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  1. Published

    Measurement challenge: protocol for international case–control comparison of mammographic measures that predict breast cancer risk

    Dench, E., Bond-smith, D., Darcey, E., Lee, G., Aung, Y. K., Chan, A., Cuzick, J., Ding, Z. Y., Evans, C. F., Harvey, J., Highnam, R., Hsieh, M., Kontos, D., Li, S., Mariapun, S., Nickson, C., Nguyen, T. L., Pertuz, S., Procopio, P., Rajaram, N. & 12 others, Repich, K., Tan, M., Teo, S., Trinh, N. H., Ursin, G., Wang, C., Dos-santos-silva, I., Mccormack, V., Nielsen, Mads, Shepherd, J., Hopper, J. L. & Stone, J., 2019, In: BMJ Open. 9, 12, p. 1-6 e031041.

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

  2. Published

    Kunstig intelligens til cancerdiagnostik i brystkræftscreening

    Elhakim, M. T., Graumann, O., Brønsro Larsen, L., Nielsen, Mads & Rasmussen, B. S., 2020, In: Ugeskrift for Laeger. 182, 16, p. 1488-1492 V06200423.

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

  3. Published

    Brain region's relative proximity as marker for Alzheimer's disease based on structural MRI

    Erleben, L. L., Sørensen, L. E., Pai, A. S. U., Dam, Erik Bjørnager, Nielsen, Mads & Initiative, A. D. N., 2014, In: BMC Medical Imaging. 14, 1, 12 p., 21.

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

  4. Published

    Morphometric connectivity analysis to distinguish normal, mild cognitive impaired, and Alzheimer subjects based on brain MRI

    Erleben, L. L., Sørensen, L., Mysling, P., Pai, A. S. U., Dam, E. B. & Nielsen, Mads, 2013, Medical Imaging 2013: image processing . Ourselin, S. & Haynor, D. R. (eds.). SPIE - International Society for Optical Engineering, 6 p. 866926. (Progress in Biomedical Optics and Imaging; No. 36, Vol. 14).

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

  5. Published

    Growth patterns of abdominal atherosclerotic calcified deposits from lumbar lateral X-rays

    Erleben, L. L., Ganz, Melanie, Barascuk, N., Dam, E. B. & Nielsen, Mads, 2010, In: International Journal of Cardiovascular Imaging. 26, 7, p. 751-761 11 p.

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

  6. Special Issue on the Second International Conference on Scale Space Theory in Computer Vision: Guest Editors' Comments

    Faugeras, O., Nielsen, Mads, Perona, P., Romeny, B. T. H. & Sapiro, G., 2000, In: Journal of Visual Communication and Image Representation. 11, 2, p. 95 1 p.

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

  7. Published

    Fundamental geodesic deformations in spaces of treelike shapes

    Feragen, A., Lauze, Francois Bernard & Nielsen, Mads, 2010, 20th International Conference on Pattern Recogniction - ICPR 2010. IEEE, p. 2089-2093 5 p.

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

  8. Published

    Information Processing in Medical Imaging: 27th International Conference, IPMI 2021, Virtual Event, June 28–June 30, 2021, Proceedings

    Feragen, A. (ed.), Sommer, Stefan Horst (ed.), Schnabel, J. (ed.) & Nielsen, Mads (ed.), 2021, Springer. 782 p. (Lecture Notes in Computer Science, Vol. 12729).

    Research output: Book/Report › Anthology › Research › peer-review

  9. Published

    Geometries on spaces of treelike shapes

    Feragen, A., Lauze, Francois Bernard, Lo, P. C. P., de Bruijne, Marleen & Nielsen, Mads, 2011, Computer Vision – ACCV 2010 : 10th Asian Conference on Computer Vision, Queenstown, New Zealand, November 8-12, 2010, Revised Selected Papers, Part II. Kimmel, R., Klette, R. & Sugimoto, A. (eds.). Springer, p. 160-173 14 p. (Lecture notes in computer science, Vol. 6493).

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

  10. Published

    Means in spaces of tree-like shapes

    Feragen, A., Hauberg, S., Nielsen, Mads & Lauze, Francois Bernard, 2011, 2011 IEEE International Conference on Computer Vision (ICCV). IEEE, p. 739-746 8 p.

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

  11. Published

    A geometric framework for statistics on trees

    Feragen, A., Nielsen, Mads, Hauberg, S., Lo, P. C. P., de Bruijne, Marleen & Lauze, Francois Bernard, 2011, Department of Computer Science, University of Copenhagen. 47 p. (Koebenhavns Universitet. Datalogisk Institut. Rapport; No. 11/02).

    Research output: Book/Report › Report › Research

  12. Published

    An airway tree-shape model for geodesic airway branch labeling

    Feragen, A., Lo, P. C. P., Gorbunova, V., Nielsen, Mads, Dirksen, A., Reinhardt, J. M., Lauze, Francois Bernard & de Bruijne, Marleen, 2011, MFCA 2011: 3rd MICCAI Workshop on Mathematical Foundations of Computational Anatomy. Pennec, X., Joshi, S. & Nielsen, M. (eds.). p. 123-134 12 p.

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

  13. Published

    Toward a theory of statistical tree-shape analysis

    Feragen, A., Lo, P. C. P., de Bruijne, Marleen, Nielsen, Mads & Lauze, Francois Bernard, 2013, In: I E E E Transactions on Pattern Analysis and Machine Intelligence. 35, 8, p. 2008-2021 14 p.

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

  14. Published

    Geometry and statistics: manifolds and stratified spaces

    Feragen, A., Nielsen, Mads, Jensen, E. B. V., Plessis, A. D. & Lauze, Francois Bernard, 2014, In: Journal of Mathematical Imaging and Vision. 50, 1, p. 1-4 4 p.

    Research output: Contribution to journal › Editorial › Research

  15. Published

    Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19

    Ferrer, N. R., Vendela Sagar, M., Klein, Kiril Vadimovic, Kruuse, Christina Rostrup, Nielsen, Mads & Mehdipour Ghazi, Mostafa, 2023, 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE Computer Society Press, p. 1-4 4 p. (Proceedings - International Symposium on Biomedical Imaging, Vol. 2023-April).

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

  16. The intrinsic structure of optic flow incorporating measurement duality

    Florack, L., Niessen, W. & Nielsen, Mads, 1998, In: International Journal of Computer Vision. 27, 3, p. 263-286 24 p.

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

  17. Locating articular cartilage in MR images

    Folkesson, J., Dam, E., Pettersen, P., Olsen, O. F., Nielsen, Mads & Christiansen, C., 2005, Medical Imaging. p. 1484-1490 7 p.

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

  18. Published

    Nonrigid Object Segmentation and Occlusion Detection in Image Sequences

    Fundana, K., Overgaard, N., Heyden, A., Gustafsson, D. K. J. & Nielsen, Mads, 2008, VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008. Ranchordas, A. & Ara, H. (eds.). INSTICC - Institute for Systems and Technologies of Information, Control and Communications, Vol. 1. p. 211-218

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

  19. Published

    Patch-based generative shape model and MDL model selection for statistical analysis of archipelagos

    Ganz, Melanie, Nielsen, Mads & Brandt, S., 2010, Machine Learning in Medical Imaging: First International Workshop, MLMI 2010, Held in Conjunction with MICCAI 2010, Beijing, China, September 20, 2010. Proceedings. Wang, F., Yan, P., Suzuki, K. & Shen, D. (eds.). Springer, p. 34-41 8 p. (Lecture notes in computer science, Vol. 6357).

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

  20. Published

    Dense Iterative Contextual Pixel Classification using Kriging

    Ganz, Melanie, Loog, M., Brandt, S. & Nielsen, Mads, 2009, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2009. CVPR Workshops 2009. . p. 87-93 7 p.

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

  21. Published

    MACD - an imaging marker for cardiovascular disease

    Ganz, Melanie, de Bruijne, Marleen & Nielsen, Mads, 2010, Medical Imaging 2010: computer-aided diagnosis. Karssemeijer, N. & Summers, R. M. (eds.). SPIE - International Society for Optical Engineering, 9 p. 76240

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

  22. Published

    BMD PREDICTION OF DEATH IS ENCAPSULATED BY THE MORPHOLOGICAL ATHEROSCLEROSIS CALCIFICATION DISTRIBUTION (MACD) INDEX

    Ganz, Melanie, Nielsen, Mads, Karsdal, M. & Christiansen, C., 2009, In: Bone. suppl. 2, p. S265 1 p.

    Research output: Contribution to journal › Conference abstract in journal › Research

  23. Published

    Distribution, size, and shape of abdominal aortic calcified deposits and their relationship to mortality in postmenopausal women

    Ganz, Melanie, de Bruijne, Marleen, Dam, E. B., Pettersen, P., Karsdal, M. A., Christiansen, C. & Nielsen, Mads, 2012, In: International Journal of Biomedical Imaging. 2012, 8 p., 459286.

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

  24. 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 journal › Journal article › Research › peer-review

  25. Published

    Estimating risk of future fracture or deformity of vertebrae of spine, by comparing processed data representing appearance of vertebra of spine with statistical model and deriving similarity between vertebra of spine and model

    Ghosh, A., Nielsen, Mads, Karsdal, M. A., Christiansen, C., de Bruijne, Marleen & Petterson, P., 2011, IPC No. G06T-007/00, Patent No. WO2009124995-A1, 15 Oct 2009, Priority date 10 Apr 2008, Priority No. GB006509

    Research output: Patent

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