Mads Nielsen

Mads Nielsen

Professor

ORCID: 0000-0003-1535-068X

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  1. Published

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

    Larsen, R. (ed.), Nielsen, Mads (ed.) & Sporring, Jon (ed.), 2006, Springer. (Lecture notes in computer science, Vol. 4191).

    Research output: Book/Report › Anthology › Research

  2. Published

    Preface

    Larsen, R., Nielsen, Mads & Sporring, Jon, 2006, 9th International Conference of Medical Image Computing and Computer-Assisted Intervention (MICCAI). p. V-VI

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

  3. 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

  4. Published

    Assessing Breast Cancer Risk by Combining AI for Lesion Detection and Mammographic Texture

    Lauritzen, Andreas, von Euler-Chelpin, My Catarina, Lynge, Elsebeth, Vejborg, I., Nielsen, Mads, Karssemeijer, N. & Lillholm, Martin, 2023, In: Radiology. 308, 2, 8 p., e230227.

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

  5. Published

    Robust cross-vendor mammographic texture models using augmentation-based domain adaptation for long-term breast cancer risk

    Lauritzen, Andreas, von Euler-Chelpin, My Catarina, Lynge, Elsebeth, Vejborg, I., Nielsen, Mads, Karssemeijer, N. & Lillholm, Martin, 2023, In: Journal of Medical Imaging. 10, 5, p. 1-16 054003.

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

  6. A Variational Algorithm For Motion Compensated Inpainting.

    Lauze, F. & Nielsen, Mads, 2004, BMVC. p. 1-11 11 p.

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

  7. Published

    From Inpainting to Active Contours

    Lauze, Francois Bernard & Nielsen, Mads, 2008, In: International Journal of Computer Vision. 79, 1, p. 31-43 14 p.

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

  8. Method of and apparatus for forming a final image sequence

    Lauze, F. B., Keller, S. H. & Nielsen, Mads, 1 Sep 2005

    Research output: Patent

  9. From inpainting to active contours

    Lauze, F. & Nielsen, Mads, 2005, Variational, Geometric, and Level Set Methods in Computer Vision. Springer Science+Business Media, p. 97-108 12 p.

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

  10. Published

    Evaluation of WBAA with registration-based cube propagation for brain atrophy quantification

    Lillholm, Martin, Pai, A. S. U., Sørensen, L., Nielsen, Mads, Sporring, Jon, Darkner, Sune & Dam, E., 2013. 1 p.

    Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

  11. Feature-based image analysis

    Lillholm, Martin, Nielsen, Mads & Griffin, L. D., 2003, In: International Journal of Computer Vision. 52, 2, p. 73-95 23 p.

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

  12. Published

    Vertebral fracture risk (VFR) score for fracture prediction in postmenopausal Women

    Lillholm, Martin, Ghosh, A., Pettersen, P. C., de Bruijne, Marleen, Dam, E. B., Karsdal, M. A., Christiansen, C., Genant, H. K. & Nielsen, Mads, 2011, In: Osteoporosis International. 22, 7, p. 2119-2128 10 p.

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

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

  14. Detection of interstitial lung disease in PA chest radiographs

    Loog, M., van Ginneken, B. & Nielsen, Mads, 2004, Medical Imaging 2004. p. 848-855 8 p.

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

  15. Published

    Quantifying effect-specific mammographic density

    Loog, M., Raundahl, J., pettersen, P., tanko, L. B. & Nielsen, Mads, 2007, Medical Image Computing and Computer-Assisted Intervention: 10th International conference, Brisbane, Australia, October 29 - November 2, 2007, Proceedings, Part II. Ayache, N., Ourselin, S. & Maeder, A. (eds.). Springer, p. 580-587 (Lecture notes in computer science; No. 4792).

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

  16. Published

    Using machine learning for predicting intensive care unit resource use during the COVID-19 pandemic in Denmark

    Lorenzen, S. S., Nielsen, Mads, Jimenez-Solem, E., Petersen, Tonny Studsgaard, Perner, Anders, Thorsen-Meyer, H., Igel, Christian & Sillesen, Martin Hylleholt, 23 Sep 2021, In: Scientific Reports. 11, 1, 10 p., 18959.

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

  17. Published

    Information Bottleneck: Exact Analysis of (Quantized) Neural Networks

    Lorenzen, S. S., Igel, Christian & Nielsen, Mads, 2022, arXiv.org, 19 p.

    Research output: Working paper › Preprint › Research

  18. Initial experience with a new computerized method for clinical assessment of vertebral deformations.

    Lund, M., Tanko, L., de Bruijne, M., Nielsen, Mads & Christiansen, C., 2005, JOURNAL OF BONE AND MINERAL RESEARCH. Vol. 20. p. S87-S87

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

  19. Shape regression for vertebra fracture quantification

    Lund, M. T., de Bruijne, M., Tanko, L. B. & Nielsen, Mads, 2005, Medical Imaging. p. 723-731 9 p.

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

  20. Published

    Breast density and risk of breast cancer

    Lynge, Elsebeth, Vejborg, I., Lillholm, Martin, Nielsen, Mads, Napolitano, George & von Euler-Chelpin, My Catarina, 2023, In: International Journal of Cancer. 152, 6, p. 1150-1158 9 p.

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

  21. 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

  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 › Research

  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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