Mads Nielsen

Mads Nielsen

Professor

ORCID: 0000-0003-1535-068X

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  1. Udgivet

    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. (red.). Springer, s. 299-306 8 s. (Lecture notes in computer science, Bind 9699).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  2. Udgivet

    A buffered online transfer learning algorithm with multi-layer network

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  3. Udgivet

    Partial feedback online transfer learning with multi-source domains

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  4. Udgivet

    Online transfer learning with partial feedback

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

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  5. Udgivet

    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, I: Physics in Medicine and Biology. 59, 22, s. 6759-6773 15 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  6. Udgivet

    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, s. 6361-6364 4 s. (I E E E Engineering in Medicine and Biology Society. Conference Proceedings).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  7. Udgivet

    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.

    Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt

  8. Accepteret/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, (Accepteret/In press).

    Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning

  9. Udgivet

    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, s. 3178-3181 4 s. (I E E E Engineering in Medicine and Biology Society. Conference Proceedings).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

  10. Udgivet

    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. (red.). Springer, s. 596-603 8 s. (Lecture notes in computer science, Bind 7361).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

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