Mads Nielsen

Mads Nielsen

Professor


  1. Udgivet

    Breast tissue segmentation and mammographic risk scoring using deep learning

    Petersen, P. K., Nielsen, Mads, Diao, P., Karssemeijer, N. & Lillholm, Martin, 2014, Breast imaging: 12th International Workshop, IWDM 2014, Gifu City, Japan, June 29 – July 2, 2014. Proceedings. Fujita, H., Hara, T. & Muramatsu, C. (red.). Springer Science+Business Media, s. 88-94 7 s. (Lecture notes in computer science, Bind 8539).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  2. Udgivet

    Breast tissue segmentation from x-ray radiographs

    Chen, C., Nielsen, Mads, Karssemeijer, N. & Brandt, S. S., 2014, I: Physics in Medicine and Biology. 59, 10, s. 2445-2456 12 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  3. Udgivet

    Brownian Warps for Non-Rigid Registration

    Nielsen, Mads, Johansen, P., Jackson, Andrew D., Lautrup, B. E. & Hauberg, S., 2008, I: Journal of Mathematical Imaging and Vision. 31, 2-3, s. 221-231 11 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  4. Brownian Warps: A least committed prior for non-rigid registration

    Nielsen, Mads, Johansen, P., Lautrup, B. & Jackson, A. D., 2002, Medical Image Computing and Computer-Assisted Intervention — MICCAI: 5th International Conference Tokyo, Japan, September 25–28, 2002 Proceedings, Part II. Springer, s. 557-564 (Lecture notes in computer science, Bind 2489/2002).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  5. Udgivet

    CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data

    Mehdipour Ghazi, Mostafa, Sørensen, L., Ourselin, S. & Nielsen, Mads, 2021, arXiv.org, 11 s.

    Publikation: Working paperPreprintForskning

  6. Udgivet

    CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data

    Mehdipour Ghazi, Mostafa, Sørensen, L., Ourselin, S. & Nielsen, Mads, 2024, I: IEEE Transactions on Neural Networks and Learning Systems. 35, 1, s. 792-802

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  7. Cartilage curvature

    Dam, E. B., Folkesson, J., Petterson, P., Olsen, O. F., Nielsen, Mads & Christiansen, C., 1 sep. 2006

    Publikation: Patent

  8. Udgivet

    Cascaded classifier for large-scale data applied to automatic segmentation of articular cartilage

    Prasoon, A., Igel, Christian, Loog, M., Lauze, Francois Bernard, Dam, E. & Nielsen, Mads, 2012, Medical Imaging 2012: Image Processing. Haynor, D. R. & Ourselin, S. (red.). SPIE - International Society for Optical Engineering, Bind 8314. 9 s. 83144V. (SPIE Proceedings, Bind 8314).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  9. Udgivet

    Change in mammographic density across birth cohorts of Dutch breast cancer screening participants

    Napolitano, George, Lynge, Elsebeth, Lillholm, Martin, Vejborg, I. M. M., van Gils, C. H., Nielsen, Mads & Karssemeijer, N., 2019, I: International Journal of Cancer. 145, 11, s. 2954-2962 9 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  10. 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/rapportBidrag til bog/antologiForskningfagfællebedømt

  11. Udgivet

    Chronic Obstructive Pulmonary Disease Quantification Using CT Texture Analysis and Densitometry: Results From the Danish Lung Cancer Screening Trial

    Sørensen, L., Nielsen, Mads, Petersen, Jens, Pedersen, J. H., Dirksen, A. & de Bruijne, Marleen, 2020, I: American Journal of Roentgenology. 214, 6, s. 1269-1279

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  12. Udgivet

    Classification in medical image analysis using adaptive metric k-NN

    Chen, C., Chernoff, K., Karemore, G., Lo, P. C. P., Nielsen, Mads & Lauze, Francois Bernard, 2010, Medical Imaging 2010: image processing. Dawant, B. M. & Haynor, D. R. (red.). SPIE - International Society for Optical Engineering, 9 s. 76230S. (Progress in Biomedical Optics and Imaging; Nr. 33, Bind 11).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  13. Udgivet

    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, s. 1-6 6 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  14. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  15. Udgivet

    Combining different views of mammographic texture resemblance (MTR) marker of breast cancer risk

    Sun, S., Karemore, G., Chernoff, K., Karssemeijer, N. & Nielsen, Mads, 2011. 2 s.

    Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

  16. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  17. Udgivet

    Comparative analysis of multimodal biomarkers for amyloid-beta positivity detection in Alzheimer's disease cohorts

    Mehdipour Ghazi, Mostafa, Selnes, P., Timón-Reina, S., Tecelão, S., Ingala, S., Bjørnerud, A., Kirsebom, B. E., Fladby, T. & Nielsen, Mads, 2024, I: Frontiers in Aging Neuroscience. 16, 1345417.

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  18. Udgivet

    Comparison of several computational pipelines for atrophy computation in longitudinal Alzheimers studies

    Pai, A. S. U., Sommer, Stefan Horst, Darkner, Sune, Sørensen, L. E. B. L., Sporring, Jon & Nielsen, Mads, 2015. 1 s.

    Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

  19. Computer Vision - ECCV 2002: 7th European Conference on Computer Vision Copenhagen, Denmark, May 28–31, 2002 Proceedings, Part II

    Heyden, A. (red.), Sparr, G. (red.), Nielsen, Mads (red.) & Johansen, P. (red.), 2002, <Forlag uden navn>. (Lecture notes in computer science, Bind 2351/2002).

    Publikation: Bog/antologi/afhandling/rapportBogfagfællebedømt

  20. Computer Vision - ECCV 2002: 7th European Conference on Computer Vision Copenhagen, Denmark, May 28–31, 2002 Proceedings, Part IV

    Heyden, A. (red.), Sparr, G. (red.), Nielsen, Mads (red.) & Johansen, P. (red.), 2002, <Forlag uden navn>. (Lecture notes in computer science, Bind 2353/2002).

    Publikation: Bog/antologi/afhandling/rapportBogfagfællebedømt

  21. Computer Vision - ECCV 2002: 7th European Conference on Computer Vision Copenhagen, Denmark, May 28–31, 2002 Proceedings, Part III

    Heyden, A. (red.), Sparr, G. (red.), Nielsen, Mads (red.) & Johansen, P. (red.), 2002, <Forlag uden navn>. (Lecture notes in computer science, Bind 2352/2002).

    Publikation: Bog/antologi/afhandling/rapportBogfagfællebedømt

  22. Computer Vision - ECCV 2002: 7th European Conference on Computer Vision Copenhagen, Denmark, May 28–31, 2002 Proceedings, Part I

    Heyden, A. (red.), Sparr, G. (red.), Nielsen, Mads (red.) & Johansen, P. (red.), 2002, Denmark. (Lecture notes in computer science, Bind 2350/2002).

    Publikation: Bog/antologi/afhandling/rapportBogfagfællebedømt

  23. Udgivet

    Computer analysis method for analyzing images involves applying algorithm to aligned images to extract quantitative estimate of difference in volume of object shown in second image by calculating change in volume of object

    Pai, A. S. U., Sørensen, L., Dam, E., Lillholm, Martin & Nielsen, Mads, 2014, IPC nr. A61B-005/00, Patentnr. US2014357978-A1, 4 dec. 2014, Prioritetsdato 4 jun. 2013, Prioritetsnr. US909666

    Publikation: Patent

  24. 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

  25. 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

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