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

  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

    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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

  38. Published

    Low dose transdermal estradiol induces breast density and heterogeneity changes comparable to those of raloxifene

    Nielsen, Mads, Raundahl, J., Pettersen, P., Loog, M., Karemore, G. R., Karsdal, M. & Christiansen, C., 2009, In: Menopause . 16, 4, p. 785-791 7 p.

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

  39. Published

    Ninth International Conference on Mecial Image Computing and Computer-Assisted Interventions, MICCAI 2006: Editorial

    Nielsen, Mads & Hawkes, D., 2007, In: Medical Image Analysis. 11, 5, p. 415-417

    Research output: Contribution to journal › Editorial › Research

  40. Feature displacement interpolation

    Nielsen, Mads & Andresen, P. R., 1998, Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on. p. 208-212 5 p.

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

  41. Meeting and Workshop-assessment of progress and results

    Nielsen, Mads, Olsen, O. F. & Dahl, G., 2003, In: DSSCV.

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

  42. Scale-space generators and functionals

    Nielsen, Mads, 1997, Gaussian Scale-Space Theory. Springer Science+Business Media, p. 99-114 16 p.

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

  43. 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

  44. 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

  45. 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

  46. 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

  47. 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

  48. 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

  49. 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

  50. 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

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