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

    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

  24. 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

  25. 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

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