Mads Nielsen

Mads Nielsen

Professor


  1. Udgivet

    Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural network

    Prasoon, A., Petersen, P. K., Igel, Christian, Lauze, Francois Bernard, Dam, Erik Bjørnager & Nielsen, Mads, 2013, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II. Mori, K., Sakuma, I., Sato, Y., Barillot, C. & Navab, N. (red.). Springer, s. 246-253 8 s. (Lecture notes in computer science, Bind 8150).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  2. Udgivet

    Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19

    Ferrer, N. R., Vendela Sagar, M., Klein, Kiril Vadimovic, Kruuse, Christina Rostrup, Nielsen, Mads & Mehdipour Ghazi, Mostafa, 2023, 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE Computer Society Press, s. 1-4 4 s. (Proceedings - International Symposium on Biomedical Imaging, Bind 2023-April).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  3. Data Structures from Shapes Using the Symmetry Set

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

    Publikation: KonferencebidragPaperForskningfagfællebedømt

  4. Udgivet

    Curve Evolution in Subspaces

    Tatu, A. J., Lauze, F., Nielsen, Mads & Olsen, O. F., 2007, Scale Space and Variational Methods: First International Conference, SSVM 2007, Ischia, Italy, May 30 - June 2, 2007. Proceedings. Sgallari, F., Murli, A. & Paragios, N. (red.). Springer, s. 754 - 764 (Lecture notes in computer science; Nr. 4485).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  5. Udgivet

    Cube propagation for focal brain atrophy estimation

    Pai, A. S. U., Sørensen, L., Darkner, Sune, Mysling, P., Jørgensen, D. R., Dam, E. B., Lillholm, Martin, Oh, J., Chen, G., Suhy, J., Sporring, Jon & Nielsen, Mads, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging. IEEE, s. 402-405 4 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  6. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  7. Udgivet

    Conditional point distribution models

    Petersen, P. K., Nielsen, Mads & Brandt, S. S., 2011, Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging: International MICCAI Workshop, MCV 2010, Beijing, China, September 20, 2010, Revised Selected Papers. Menze, B., Langs, G., Tu, Z. & Criminisi, A. (red.). Springer, s. 1-10 10 s. (Lecture notes in computer science, Bind 6533).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  8. Computing optic flow by scale-space integration of normal flow

    Pedersen, K. S. & Nielsen, Mads, 2006, I: Scale-Space and Morphology in Computer Vision: Third International Conference, Scale-Space 2001 Vancouver, Canada, July 7--8, 2001 Proceedings. s. 14-25 12 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  9. Udgivet

    Computing Optic Flow by Scale-Space Integration of Normal Flow

    Steenstrup Pedersen, Kim & Nielsen, Mads, 2001, Proceedings of DSAGM'01, Den 10. Danske Konference om Mønstergenkendelse og Billedanalyse. s. 124-135 (DIKU teknisk rapport; Nr. 01-04).

    Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskning

  10. Udgivet

    Computer based method for determining the size of an objects in an image

    Pai, A. S. U., Sørensen, L., Dam, E. B., Lillholm, Martin & Nielsen, Mads, 4 dec. 2014, Prioritetsdato 4 dec. 2014

    Publikation: Patent

ID: 542361