Mads Nielsen

Mads Nielsen

Professor

ORCID: 0000-0003-1535-068X

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  1. 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

  2. Udgivet

    Reconstruction of Optical Thickness

    Olsen, N. H., Sporring, Jon & Nielsen, Mads, 2002, Proceedings fra den 11. Danske Konference om Mønstergenkendelse og Billedanalyse. Department of Computer Science, University of Copenhagen, s. 114-126

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

  3. Udgivet

    Reconstruction of Optical Thickness from Hoffman Modulation Contrast Images

    Olsen, N. H., Sporring, Jon, Nielsen, Mads, Hnida, C. & Ziebe, S., 2003, Image Analysis: 13th Scandinavian Conference, SCIA 2003 Halmstad, Sweden, June 29 – July 2, 2003 Proceedings. Springer, s. 445-454 (Lecture notes in computer science, Bind 2749/2003).

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

  4. Lie group modeling of nonlinear point set shape variability

    Olsen, N. H. & Nielsen, Mads, 2000, Algebraic Frames for the Perception-Action Cycle. Springer Science+Business Media, s. 259-268 10 s.

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

  5. Generic events for the gradient squared. Proc. 1 st Scale Space Conference

    Olsen, O. & Nielsen, Mads, 1997, Generic events for the gradient squared. Proc. 1 st Scale Space Conference. s. 101-112 12 s. (Lecture notes in computer science).

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

  6. Multi-scale gradient magnitude watershed segmentation

    Olsen, O. F. & Nielsen, Mads, 1997, Image Analysis and Processing. Springer Science+Business Media, s. 6-13 8 s.

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

  7. The Generic Structure of the Optic Flow Field

    Olsen, O. F. & Nielsen, Mads, 2006, I: Journal of Mathematical Imaging and Vision. 24, 1, s. 37-53

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  8. 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

  9. Udgivet

    Knowledge Distillation for Semi-supervised Domain Adaptation

    Orbes-Arteaga, M., Cardoso, J., Sørensen, L., Igel, Christian, Ourselin, S., Modat, M., Nielsen, Mads & Pai, A., 1 jan. 2019, OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - 2nd International Workshop, OR 2.0 2019, and 2nd International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Proceedings. Zhou, L., Sarikaya, D., Kia, S. M., Speidel, S., Malpani, A., Hashimoto, D., Habes, M., Löfstedt, T., Ritter, K. & Wang, H. (red.). Springer VS, s. 68-76 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11796 LNCS).

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

  10. Udgivet

    Multi-domain adaptation in brain MRI through paired consistency and adversarial learning

    Orbes-Arteaga, M., Varsavsky, T., Sudre, C. H., Eaton-Rosen, Z., Haddow, L. J., Sørensen, L., Nielsen, Mads, Pai, A., Ourselin, S., Modat, M., Nachev, P. & Cardoso, M. J., 2019, Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data First MICCAI Workshop, DART 2019 and First International Workshop, MIL3ID 2019 Shenzhen, Held in Conjunction with MICCAI 2019 Shenzhen, 2019 Proceedings. Wang, Q., Milletari, F., Rieke, N., Nguyen, H. V., Roysam, B., Albarqouni, S., Cardoso, M. J., Xu, Z., Kamnitsas, K., Patel, V., Jiang, S., Zhou, K., Luu, K. & Le, N. (red.). Springer VS, s. 54-62 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11795 LNCS).

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

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