Mads Nielsen

Mads Nielsen

Professor

ORCID: 0000-0003-1535-068X

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  1. Published

    Analysing the dynamics of target and spiral waves by image processing techniques

    Jensen, F. G., Sporring, Jon, Nielsen, Mads & Sørensen, Preben Graae, 1998, (Technical Report; No. 16, Vol. 98).

    Research output: Book/Report › Report › Research

  2. Published

    Tracking Target and Spiral Waves

    Jensen, F. G., Sporring, Jon, Nielsen, Mads & Sørensen, P. G., 2002, In: Chaos: An Interdisciplinary Journal of Nonlinear Science. 12, 1, p. 16-26

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

  3. Published

    Density-based non-rigid registration of diffusion-weighted images

    Jensen, H. G., Lauze, Francois Bernard, Nielsen, Mads & Darkner, Sune, Apr 2017.

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

  4. Published

    Multimodal brain extraction from structural MRI using co-registered FDG-PET

    Jensen, H. G., Federspiel, F. V. K., Ptito, Maurice, Nielsen, Mads, Gjedde, Albert, Keller, S. H., Law, Ian, Kupers, Ron & Darkner, Sune, 2015. 12 p.

    Research output: Contribution to conference › Paper › Research

  5. Published

    Locally orderless registration for diffusion weighted images

    Jensen, H. G., Lauze, Francois Bernard, Nielsen, Mads & Darkner, Sune, 2015, Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, Proceedings, Part II. Navab, N., Hornegger, J., Wells, W. M. & Frangi, A. F. (eds.). Springer, p. 305-312 8 p. (Lecture notes in computer science, Vol. 9350).

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

  6. Published

    Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

    Jimenez-Solem, E., Petersen, T. S., Hansen, C., Hansen, C., Lioma, C., Igel, C., Boomsma, W., Krause, O., Lorenzen, S., Selvan, R., Petersen, J., Nyeland, M. E., Ankarfeldt, M. Z., Virenfeldt, G. M., Winther-Jensen, M., Linneberg, A., Ghazi, M. M., Detlefsen, N., Lauritzen, A. D., Smith, A. G. & 15 others, de Bruijne, Marleen, Ibragimov, Bulat, Petersen, Jens, Lillholm, Martin, Middleton, Jon Anthony, Mogensen, S. H., Thorsen-Meyer, H., Perner, Anders, Helleberg, M., Kaas-Hansen, Benjamin Skov, Bonde, M., Bonde, A., Pai, A., Nielsen, Mads & Sillesen, Martin Hylleholt, 2021, In: Scientific Reports. 11, 1, 12 p., 3246.

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

  7. Published

    Automated texture scoring for assessing breast cancer masking risk in full field digital mammography

    Kallenberg, M. G. J., Petersen, P. K., Lillholm, Martin, Jørgensen, D. R., Diao, P., Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, In: Insights into Imaging. 6, 1, Supplement, 1 p., B-0212.

    Research output: Contribution to journal › Conference abstract in journal › Research › peer-review

  8. Published

    Assessing breast cancer masking risk in full field digital mammography with automated texture analysis

    Kallenberg, M. G. J., Lillholm, Martin, Diao, P., Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, 7th International Workshop on Breast Densitometry and Cancer Risk Assessment (Non-CME). University of California, p. 109 1 p.

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

  9. Published

    Assessing breast cancer masking risk with automated texture analysis in full field digital mammography

    Kallenberg, M. G. J., Lillholm, Martin, Diao, P., Petersen, K., Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, Breast Imaging and Interventional. Radiological Society of North America, Inc, p. 218 1 p.

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

  10. Published

    Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring

    Kallenberg, M. G. J., Petersen, P. K., Nielsen, Mads, Ng, A. Y., Diao, P., Igel, Christian, Vachon, C. M., Holland, K., Winkel, R. R., Karssemeijer, N. & Lillholm, Martin, 2016, In: IEEE Transactions on Medical Imaging. 35, 5, p. 1322-1331 10 p.

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

  11. Published

    Learning density independent texture features

    Kallenberg, M. G. J., Nielsen, Mads, Holland, K., Karssemeijer, N., Igel, Christian & Lillholm, Martin, 2016, Breast Imaging: 13th International Workshop, IWDM 2016, Malmö, Sweden, June 19-22, 2016, Proceedings. Tingberg, A., Lång, K. & Timberg, P. (eds.). Springer, p. 299-306 8 p. (Lecture notes in computer science, Vol. 9699).

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

  12. Published

    A buffered online transfer learning algorithm with multi-layer network

    Kang, Zhongfeng, Yang, B., Nielsen, Mads, Deng, L. & Yang, S., 2022, In: Neurocomputing. 488, p. 581-597 17 p.

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

  13. Published

    Partial feedback online transfer learning with multi-source domains

    Kang, Zhongfeng, Nielsen, Mads, Yang, B. & Mehdipour Ghazi, Mostafa, 2023, In: Information Fusion. 89, p. 29-40

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

  14. Published

    Online transfer learning with partial feedback

    Kang, Zhongfeng, Nielsen, Mads, Yang, B., Deng, L. & Lorenzen, S. S., 2023, In: Expert Systems with Applications. 212, 13 p., 118738.

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

  15. Published

    A method to determine the mammographic regions that show early changes due to the development of breast cancer

    Karemore, G., Nielsen, Mads, Karssemeijer, N. & Brandt, S. S., 2014, In: Physics in Medicine and Biology. 59, 22, p. 6759-6773 15 p.

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

  16. Published

    An automatic framework for assessing breast cancer risk due to various hormone replacement therapies (HRT): a novel CAD application in digital mammography

    Karemore, G., Brandt, S. & Nielsen, Mads, 2010.

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

  17. Published

    Classification of protein profiles using fuzzy clustering techniques: an application in early diagnosis of oral, cervical and ovarian cancer

    Karemore, G., Mullick, J. B., Sujatha, R., Nielsen, Mads & Santhosh, C., 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, p. 6361-6364 4 p. (I E E E Engineering in Medicine and Biology Society. Conference Proceedings).

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

  18. Published

    Relevance of echo-structure and texture features: an application in ultrasound breast tumor classification

    Karemore, G., Mullick, J. B., KV, D. R., Nielsen, Mads & Chidangil, D. S., 2010, Euroson 2010: 22nd Congress of EFSUMB : 10th International Congress on Interventional Ultrasound, 22-25 August 2010, Copenhagen: final programme & abstracts.

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

  19. Accepted/In press

    Anatomic breast coordinate system for mammogram analysis: 5th International Workshop on Breast Densitometry and Breast Cancer Risk Assessment ,San Francisco, United States

    Karemore, G., Brandt, S., Karssemeijer, N. & Nielsen, Mads, 2011, (Accepted/In press).

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

  20. Published

    Anisotropic diffusion tensor applied to temporal mammograms: an application to breast cancer risk assessment

    Karemore, G., Brandt, S., Sporring, Jon & Nielsen, Mads, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, p. 3178-3181 4 p. (I E E E Engineering in Medicine and Biology Society. Conference Proceedings).

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

  21. Published

    Mammographic parenchymal texture analysis for estrogen-receptor subtype specific breast cancer risk estimation

    Karemore, G., Keller, B. M., Oh, H., Tchou, J., Nielsen, Mads, Conant, E. F. & Kontos, D., 2012, Breast Imaging: 11th International Workshop, IWDM 2012, Philadelphia, PA, USA, July 8-11, 2012. Proceedings. Maidment, A. D. A., Bakic, P. R. & Gavenonis, S. (eds.). Springer, p. 596-603 8 p. (Lecture notes in computer science, Vol. 7361).

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

  22. Published

    Fractal Dimension and Lacunarity analysis of mammographic patterns in assessing breast cancer risk related to HRT treated population: A Longitudinal and Cross-sectional study

    Karemore, G. R. & Nielsen, Mads, 2009, Medical imaging 2009 : Computer-Aided Diagnosis: Proceedings of the SPIE. Vol. 7260. p. 7260F-72602F-9 8 p.

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

  23. Published

    Automatic and consistent registration framework for temporal pairs of mammograms in application to breast cancer risk assessment due to hormone replacement therapy (HRT)

    Karemore, G. R., Carreras, I. A. & Nielsen, Mads, 2009, In: International Journal of Computer Assisted Radiology and Surgery. suppl 1, p. S356

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

  24. Published

    Automatic breast cancer risk assessment from digital mammograms

    Karemore, G. R., Brandt, S., Karssemeijer, N. & Nielsen, Mads, 2011. 1 p.

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

  25. Published

    Yet Another Mammography Measure to Evaluate Breast Cancer Risk: 4th International Workshop on Breast Densitometry and Breast Cancer Risk Assessment, San Francisco, United States

    Karemore, G. R., Brandt, S. & Nielsen, Mads, 2009.

    Research output: Contribution to conference › Poster › Research

  26. Published

    An Automatic Framework for Assessing Breast Cancer Risk Due to Various Hormone Replacement Therapies (HRT): 4th International Workshop on Breast Densitometry and Breast Cancer Risk Assessment, San Francisco, United States

    Karemore, G. R., Brandt, S. & Nielsen, Mads, 2009.

    Research output: Contribution to conference › Poster › Research

  27. Published

    Classification of Laser Induced Fluorescence Spectra from Normal and Malignant bladder tissues using Learning Vector Quantization Neural Network in Bladder Cancer Diagnosis

    Karemore, G. R., Mascarenhas, K. K., Patil, C., V.K, U., Prabhu, V., Chowla, A., Nielsen, Mads & C, S., 2008, BIBE 2008: 8th. IEEE International Conference on Bioinformatics and BioEngineering, 8-10 October 2008. IEEE Communications Society, p. 1-6 6 p.

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

  28. Published

    Training shortest-path tractography: automatic learning of spatial priors

    Kasenburg, N., Liptrot, M. G., Reislev, N. L., Ørting, S. N., Nielsen, Mads, Garde, E. & Feragen, A., 2016, In: NeuroImage. 130, p. 63-76 14 p.

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

  29. Published

    Graph-based fibre tractography computing shortest paths between regions of interest

    Kasenburg, N., Liptrot, M. G., Borgwardt, K., Ørting, S. N., Nielsen, Mads & Feragen, A., 2014. 1 p.

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

  30. Published

    Supervised hub-detection for brain connectivity

    Kasenburg, N., Liptrot, M. G., Reislev, N. L., Garde, Ellen, Nielsen, Mads & Feragen, A., 2016, Medical Imaging 2016: Image Processing. Styner, M. A. & Angelini, E. D. (eds.). SPIE - International Society for Optical Engineering, 9 p. 978409. (Progress in Biomedical Optics and Imaging; No. 39, Vol. 17).

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

  31. Variational motion compensated deinterlacing

    Keller, S., Lauze, F. & Nielsen, Mads, 2006, In: Proceedings of Statistical Methods in Multi-Image and Video Processing, ECCV 2006 Workshop. p. 49-56 8 p.

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

  32. A total variation motion adaptive deinterlacing scheme

    Keller, S., Lauze, F. & Nielsen, Mads, 2005, Scale Space and PDE Methods in Computer Vision. Springer Science+Business Media, p. 408-418 11 p.

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

  33. Published

    Motion Compensated Video Super Resolution

    Keller, S. H., Lauze, F. & Nielsen, Mads, 2007, Scale Space and Variational Methods in Computer Vision: First International conference, SSVM 2007, Ischia, Italy, May 30 - June 2, 2007. Proceedings. Sgallari, F., Murli, A. & Paragios, N. (eds.). Springer, p. 801-812 (Lecture notes in computer science; No. 4485).

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

  34. Published

    Temporal super resolution using variational methods

    Keller, S. H., Lauze, Francois Bernard & Nielsen, Mads, 2010, High-quality visual experience: creation, processing and interactivity of high-resolution and high-dimensional video signals. Mrak, M., Grgic, M. & Kunt, M. (eds.). Springer, Vol. Part III. p. 275-296 22 p. (Signals and Communication Technology).

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

  35. Published

    Deinterlacing Using Variational Methods

    Keller, S. H., Lauze, Francois Bernard & Nielsen, Mads, 2008, In: IEEE Transactions on Image Processing. 17, 11, p. 2015-2028 14 p.

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

  36. Published

    Video super-resolution using simultaneous motion and intensity calculations

    Keller, S. H., Lauze, Francois Bernard & Nielsen, Mads, 2011, In: IEEE Transactions on Image Processing. 20, 7, p. 1870-1884 15 p.

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

  37. Published

    Diagnostic test accuracy study of a commercially available deep learning algorithm for ischemic lesion detection on brain MRIs in suspected stroke patients from a non-comprehensive stroke center

    Krag, C. H., Müller, F. C., Gandrup, K. L., Raaschou, H., Andersen, Michael Brun, Brejnebøl, M. W., Sagar, M. V., Bojsen, J. A., Rasmussen, B. S., Graumann, O., Nielsen, Mads, Kruuse, Christina Rostrup & Boesen, Mikael Ploug, 2023, In: European Journal of Radiology. 168, 8 p., 111126.

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

  38. Volumetric computer imaging for anomaly definition and growth evaluation in craniosynostosis

    Kreiborg, S., Andresen, P. R., Cohen, M. J., Darvann, T., Dobrzeniecki, A. B., Hermann, N., Larsen, P., Nielsen, Mads, Quistorff, B. & Schleidt, D. T., 1999

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

  39. 3D analysis of craniofacial growth and tooth eruption in Apert syndrome

    Kreiborg, S., Schleidt, D. T., Skovby, F., Larsen, P., Andresen, P. R., Nielsen, Mads & Darvann, T., 1999

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

  40. 3D techniques in studies on craniofacial anomalies

    Kreiborg, S., Andresen, P. R., Darvann, T., Dorbrzeniecki, A., Hermann, N., Kitai, N., Larsen, P., Nielsen, Mads, Quistdorff, B. & Schleidt, D. T., 1999

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

  41. From a 2D Shape to a String Structure Using the Symmetry Set

    Kuijper, A., Olsen, O. F., Giblin, P., Bille, P. & Nielsen, Mads, 2004, Computer Vision - ECCV 2004: 8th European Conference on Computer Vision, Prague, Czech Republic, May 11-14, 2004. Proceedings, Part II. <Forlag uden navn>, p. 313-325 (Lecture notes in computer science, Vol. 3022/2004).

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

  42. Data Structures from Shapes Using the Symmetry Set

    Kuijper, A., Gibling, P., Olsen, O. F. & Nielsen, Mads, 2008.

    Research output: Contribution to conference › Paper › Research › peer-review

  43. Alternative 2D Shape Representations using the Symmetry Set

    Kuijper, A., Olsen, O. F., Giblin, P. & Nielsen, Mads, 2006, In: Journal of Mathematical Imaging and Vision. 26, 1-2, p. 127-147

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

  44. Published

    Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts

    Kutuzova, S., Krause, Oswin, McCloskey, D., Nielsen, Mads & Igel, Christian, Jan 2022, arXiv.org, 29 p.

    Research output: Working paper › Preprint

  45. Published

    Bi-modal Variational Autoencoders for Metabolite Identification Using Tandem Mass Spectrometry

    Kutuzova, S., Igel, Christian, Nielsen, Mads & McCloskey, D., 2021, bioRxiv, 22 p.

    Research output: Working paper › Preprint

  46. E-pub ahead of print

    Population-wide evaluation of artificial intelligence and radiologist assessment of screening mammograms

    Kühl, J., Elhakim, M. T., Stougaard, S. W., Rasmussen, B. S. B., Nielsen, Mads, Gerke, O., Larsen, L. B. & Graumann, O., 2024, (E-pub ahead of print) In: European Radiology. 12 p.

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

  47. METHOD OF AND APPARATUS FOR FORMING A FINAL IMAGE SEQUENCE

    LAUZE, F., KELLER, S. & Nielsen, Mads, 1 Apr 2006

    Research output: Patent

  48. Published

    An Analysis of Spatial-Spectral Dependence in Hyperspectral Autoencoders

    Laprade, W. M., Westergaard, Jesper Cairo, Nielsen, J., Nielsen, Mads & Dahl, A. B., 2023, Image Analysis - 23rd Scandinavian Conference, SCIA 2023, Proceedings. Gade, R., Felsberg, M. & Kämäräinen, J-K. (eds.). Springer, p. 191-202 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13886 LNCS).

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

  49. Published

    Growth analysis of individual abdominal atherosclerotic calcified deposits

    Larsen, L. L., Ganz, Melanie & Nielsen, Mads, 2009. 1 p.

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

  50. Published

    Growth Pattern of Atherosclerotic Calcifications

    Larsen, L. L., Ganz, Melanie, Dam, E., Dandu, N. & Nielsen, Mads, 2008, CVII '08: Second International Workshop on Computer vision for intracardiac and intravascular imaging, held in New York, USA, September 10, 2008 in conjunction with the 11th MICCAI conference. Sabancí Üniversítesí. 34956 Tuzla, Istanbul, p. 63-70

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

  51. 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

  52. 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

  53. 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

  54. 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

  55. 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

  56. 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

  57. 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

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

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

    Research output: Patent

  59. 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

  60. 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

  61. 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

  62. 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

  63. 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

  64. 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

  65. 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

  66. 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

  67. 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

  68. 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

  69. 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

  70. 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

  71. 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

  72. 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

  73. 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

  74. 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

  75. 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

  76. 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

  77. 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

  78. 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

  79. 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

  80. 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

  81. 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

  82. 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

  83. 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

  84. 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

  85. 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

  86. 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

  87. 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

  88. 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

  89. 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

  90. 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

  91. 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

  92. 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

  93. 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

  94. 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

  95. 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

  96. 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

  97. 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

  98. 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

  99. 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

  100. 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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