Mads Nielsen

Mads Nielsen

Professor

ORCID: 0000-0003-1535-068X

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  1. Published

    Determination of higher order optic flow: A group theoretical approach

    Nielsen, Mads & Sporring, Jon, 1994, København: DIKU. (Department of Computer Science. University of Copenhagen. Technical Report; No. 34, Vol. 94).

    Research output: Book/Report › Report › Research

  2. Published

    Breast density changes associated with postmenopausal hormone replacement therapy: post hoc radiologist- and computer-based analyses.

    Nielsen, Mads, Pettersen, P., Alexandersen, P., Karemore, G., Raundahl, J., Loog, M. & Christiansen, C., 2010, In: Menopause . 17, 4, p. 772-778 7 p.

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

  3. Preface

    Nielsen, Mads, 2005, Deep Structure, Singularities, and Computer Vision. <Forlag uden navn>, p. VI (Lecture notes in computer science, Vol. 3753/2005).

    Research output: Chapter in Book/Report/Conference proceeding › Preface/postscript › Research

  4. Published

    Medical Image Computing and Computer-Assisted Intervention -MICCAI 2006 Part I: 9th international conference , Copenhagen, Denmark, October 1-6, 2006, proceedings, Part I

    Nielsen, Mads (ed.), Sporring, Jon (ed.) & Larsen, R. (ed.), 2006, Springer. 949 p. (Lecture notes in computer science; No. 4190).

    Research output: Book/Report › Anthology › Research

  5. Published

    Hippocampal texture predicts ad conversion in amyloid positive mild cognitively impaired subjects

    Nielsen, Mads, Igel, Christian & Sørensen, L., 2015, In: Neurodegenerative Diseases. 15, Suppl. 1, p. 262 1 p., ADPD5-0947.

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

  6. On the duality of scalar and density flows

    Nielsen, Mads, Niessen, W., Maas, R., Florack, L. & ter Haar Romeny, B., 1997, Scale-Space Theory in Computer Vision. Springer Science+Business Media, p. 65-76 12 p.

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

  7. Scale-Space Theorics in Computer Vision, Lecture Notes in Computer Science, Vol. 1682

    Nielsen, Mads, Johansen, P. & Olsen, O. F., 1999, Springer Science+Business Media.

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

  8. Published

    Relevance sampling

    Nielsen, Mads, Markussen, Bo & Loog, M., 2015, Proceedings of the Eight Workshop on Information Theoretic Methods in Science and Engineering. Rissanen, J., Harremoës, P., Forchhammer, S., Roos, T. & Myllymäki, P. (eds.). Department of Computer Science, University of Helsinki , p. 35-38 4 p. (Series of Publications B, Vol. B-2015-1).

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

  9. Published

    Den digitale revolution: fortællinger fra datalogiens verden

    Naur, P., Vinter, B., Hansen, Klaus, Mogensen, Torben Ægidius, Erleben, Kenny, Pisinger, D., Nielsen, Mads, Kringelbach, M., Pedersen, E. W., Blume, P., Helles, Rasmus, Andersen, Tariq Osman (ed.), Bansler, Jørgen P. (ed.), Clausen, H. R. (ed.), Jensen, I. H. (ed.) & Zachariasen, M. (ed.), 2010, København: Datalogisk Institut. 156 p.

    Research output: Book/Report › Anthology › Communication

  10. Published

    Change in mammographic density across birth cohorts of Dutch breast cancer screening participants

    Napolitano, George, Lynge, Elsebeth, Lillholm, Martin, Vejborg, I. M. M., van Gils, C. H., Nielsen, Mads & Karssemeijer, N., 2019, In: International Journal of Cancer. 145, 11, p. 2954-2962 9 p.

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

  11. Published

    Automatic segmentation of vertebrae from radiographs: a sample-driven active shape model approach

    Mysling, P., Petersen, P. K., Nielsen, Mads & Lillholm, Martin, 2011, Machine Learning in Medical Imaging: Second International Workshop, MLMI 2011, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 18, 2011. Proceedings. Suzuki, K., Wang, F., Shen, D. & Yan, P. (eds.). Springer, p. 10-17 8 p. (Lecture notes in computer science, Vol. 7009).

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

  12. Published

    A unifying framework for automatic and semi-automatic segmentation of vertebrae from radiographs using sample-driven active shape models

    Mysling, P., Petersen, P. K., Nielsen, Mads & Lillholm, Martin, 2013, In: Machine Vision & Applications. 24, 7, p. 1421–1434 14 p.

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

  13. Published

    Evaluation of a novel approach for automatic delineation of vertebral contours in radiographs

    Mysling, P., Petersen, P. K., Nielsen, Mads & Lillholm, Martin, 2012, In: Osteoporosis International. 23, Supplement 2, p. S250-S250 1 p., P439.

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

  14. Tube Snake Models for 3D Reconstruction of Thin Elongated Structures from their Contour Projections

    Mogensen, I. & Nielsen, Mads, 1999, In: PROCEEDINGS OF THE SCANDINAVIAN CONFERENCE ON IMAGE ANALYSIS. 2, p. 857-864 8 p.

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

  15. Published

    Instance-Specific Augmentation of Brain MRIs with Variational Autoencoders

    Middleton, Jon Anthony, Bauer, Marko, Johansen, Jacob, Nielsen, Mads, Sommer, Stefan Horst & Pai, A. S. U., 2023, Medical Applications with Disentanglements : First MICCAI Workshop, MAD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Springer, p. 49-58 (Lecture Notes in Computer Science, Vol. 13823).

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

  16. 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 proceeding › Article in proceedings › Research › peer-review

  17. Published

    Combining the boundary shift integral and tensor-based morphometry for brain atrophy estimation

    Michalkiewicz, M. D., Pai, A. S. U., Leung, K. K., Sommer, Stefan Horst, Darkner, Sune, Sørensen, L., Sporring, Jon & Nielsen, Mads, 2016, Medical imaging 2016: Image processing. Styner, M. A. & Angelini, E. D. (eds.). SPIE - International Society for Optical Engineering, 6 p. 978406. (Progress in Biomedical Optics and Imaging).

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

  18. Published

    Robust training of recurrent neural networks to handle missing data for disease progression modeling

    Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, A. S. U., Cardoso, M. J., Modat, M., Ourselin, S. & Sørensen, L., 2018. 9 p.

    Research output: Contribution to conference › Paper › Research

  19. Published

    FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain

    Mehdipour Ghazi, Mostafa & Nielsen, Mads, 2022, arXiv.org, 18 p.

    Research output: Working paper › Preprint

  20. Published

    Comparative analysis of multimodal biomarkers for amyloid-beta positivity detection in Alzheimer's disease cohorts

    Mehdipour Ghazi, Mostafa, Selnes, P., Timón-Reina, S., Tecelão, S., Ingala, S., Bjørnerud, A., Kirsebom, B. E., Fladby, T. & Nielsen, Mads, 2024, In: Frontiers in Aging Neuroscience. 16, 1345417.

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

  21. Published

    On the initialization of long short-term memory networks

    Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, A., Modat, M., Cardoso, M. J., Ourselin, S. & Sørensen, L., 2019, Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings. Gedeon, T., Wong, K. W. & Lee, M. (eds.). Springer VS, p. 275-286 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11953 LNCS).

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

  22. Published

    Robust parametric modeling of Alzheimer's disease progression

    Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, A., Modat, M., Jorge Cardoso, M., Ourselin, S. & Sørensen, L., 2021, In: NeuroImage. 225, 12 p., 117460.

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

  23. Published

    MRI Biomarkers Improve Disease Progression Modeling-Based Prediction of Cognitive Decline

    Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, A. S. U., Modat , M., Cardoso , J., Ourselin, S. & Sorensen, L., 2019. 1 p.

    Research output: Contribution to conference › Conference abstract for conference › Research

  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, 2021, arXiv.org, 11 p.

    Research output: Working paper › Preprint

  25. Published

    Training recurrent neural networks robust to incomplete data: application to Alzheimer’s disease progression modeling

    Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, A. S. U., Cardoso, M. J., Modat, M., Ourselin, S. & Sørensen, L., 2019, In: Medical Image Analysis. 53, p. 39-46

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

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