Mads Nielsen

Mads Nielsen

Professor

ORCID: 0000-0003-1535-068X

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  1. 2019
  2. Udgivet

    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. (red.). Springer VS, s. 275-286 12 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11953 LNCS).

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

  3. Udgivet

    PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation

    Orbes-Arteaga, M., Sørensen, L., Cardoso , J., Modat , M., Ourselin, S., Sommer, Stefan Horst, Nielsen, Mads, Igel, Christian & Pai, A. S. U., 2019, Proceedings, SPIE 10949, Medical Imaging 2019: Image Processing . SPIE - International Society for Optical Engineering, 6 s.

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

  4. 2017
  5. Udgivet

    A statistical model for simultaneous template estimation, bias correction, and registration of 3D brain images

    Pai, A. S. U., Sommer, Stefan Horst, Raket, L. L., Kühnel, L., Darkner, Sune, Sørensen, L. & Nielsen, Mads, 2017, Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging: MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers. Müller, H., Kelm, B. M., Arbel, T., Cai, W., Cardoso, M. J., Langs, G., Menze, B., Metaxas, D., Montillo, A., Wells, W. M., Zhang, S., Chung, A. C. S., Jenkinson, M. & Ribbens, A. (red.). Springer, s. 151-159 9 s. (Lecture notes in computer science, Bind 10081).

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

  6. Udgivet

    Characterization of errors in deep learning-based brain MRI segmentation

    Pai, A. S. U., Teng, Y., Blair, J. P. M., Kallenberg, M. G. J., Dam, Erik Bjørnager, Sommer, Stefan Horst, Igel, Christian & Nielsen, Mads, 2017, Deep learning for medical image analysis. Zhou, S. K., Greenspan, H. & Shen, D. (red.). Academic Press, s. 223–242 20 s.

    Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt

  7. Udgivet

    Convolutional neural networks for segmentation and object detection of human semen

    Nissen, M. S., Krause, Oswin, Almstrup, Kristian, Kjærulff, S., Nielsen, T. T. & Nielsen, Mads, 2017, Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway, June 12–14, 2017, Proceedings, Part I. Sharma, P. & Bianchi, F. M. (red.). Springer, Bind Part 1. s. 397-406 10 s. (Lecture notes in computer science, Bind 10269).

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

  8. 2016
  9. Udgivet

    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. (red.). SPIE - International Society for Optical Engineering, 6 s. 978406. (Progress in Biomedical Optics and Imaging).

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

  10. 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

  11. Udgivet

    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. (red.). SPIE - International Society for Optical Engineering, 9 s. 978409. (Progress in Biomedical Optics and Imaging; Nr. 39, Bind 17).

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

  12. 2015
  13. Udgivet

    Adaptive time-stepping in dieomorphic image registration with bounded inverse consistency error

    Pai, A. S. U., Klein, S., Sommer, Stefan Horst, Sørensen, L., Darkner, Sune, Sporring, Jon & Nielsen, Mads, 2015, Proceedings of the fifth international workshop on Mathematical Foundations of Computational Anatomy (MFCA 2015) . INRIA, s. 35-47

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

  14. Udgivet

    Adaptive time-stepping in diffeomorphic image registration with bounded inverse consistency error

    Pai, A. S. U., Klein, S., Sommer, Stefan Horst, Sørensen, L. E. B. L., Darkner, Sune, Sporring, Jon & Nielsen, Mads, 2015, The 18th International Conference on Medical Image Computing and Computer Assisted Intervention: proceedings. Technische Universität München , s. 35-47 13 s.

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

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