Christian Igel

Christian Igel


Kommentarer til publikationsliste

This list of pubications is not fully complete.

For a complete list of older publications as well as papers and software available online please vist my old homepage:

I also maintain a Google Scholar profile:

  1. 2017
  2. Udgivet

    Characterization of errors in deep learning-based brain MRI segmentation. / Pai, Akshay Sadananda Uppinakudru; Teng, Yuan-Ching; Blair, Joseph Patrick Michele; Kallenberg, Michiel Gijsbertus J.; Dam, Erik Bjørnager; Sommer, Stefan Horst; Igel, Christian; Nielsen, Mads.

    Deep learning for medical image analysis. red. / S. Kevin Zhou; Hayit Greenspan; Dinggang Shen. Academic Press, 2017. s. 223–242.

    Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

  3. Udgivet

    Adaptive pattern recognition in real-time video-based soccer analysis. / Schlipsing, Marc; Salmen, Jan; Tschentscher, Marc; Igel, Christian.

    I: Journal of Real-Time Image Processing, Bind 13, Nr. 2, 06.2017, s. 345–361.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  4. Udgivet

    Sacrificing information for the greater good : how to select photometric bands for optimal accuracy. / Stensbo-Smidt, Kristoffer; Gieseke, Fabian Cristian; Igel, Christian; Zirm, Andrew Wasmuth; Pedersen, Kim Steenstrup.

    I: Monthly Notices of the Royal Astronomical Society, Bind 464, Nr. 3, 2017, s. 2577-2596.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  5. Udgivet
  6. Udgivet

    A strongly quasiconvex PAC-Bayesian bound. / Thiemann, Niklas; Igel, Christian; Wintenberger, Olivier; Seldin, Yevgeny.

    Proceedings of International Conference on Algorithmic Learning Theory, 15-17 October 2017, Kyoto University, Kyoto, Japan . red. / Steve Hanneke; Lev Reyzin. Proceedings of Machine Learning Research, 2017. s. 466-492 (Proceedings of Machine Learning Research, Bind 76).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  7. 2016
  8. Udgivet

    A unified view on multi-class support vector classification. / Doğan, Ürün; Glasmachers, Tobias; Igel, Christian.

    I: Journal of Machine Learning Research, Bind 17, 45, 2016.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  9. Udgivet

    Evolutionary kernel learning. / Igel, Christian.

    Encyclopedia of machine learning and data mining. red. / Claude Sammut; Geoffrey I. Webb. Springer, 2016.

    Publikation: Bidrag til bog/antologi/rapportEncyclopædiartikelForskningfagfællebedømt

  10. Udgivet

    Learning density independent texture features. / Kallenberg, Michiel Gijsbertus J.; Nielsen, Mads; Holland, Katharina; Karssemeijer, Nico; Igel, Christian; Lillholm, Martin.

    Breast Imaging: 13th International Workshop, IWDM 2016, Malmö, Sweden, June 19-22, 2016, Proceedings. red. / Anders Tingberg; Kristina Lång; Pontus Timberg. Springer, 2016. s. 299-306 (Lecture notes in computer science, Bind 9699).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  11. Udgivet

    Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring. / Kallenberg, Michiel Gijsbertus J.; Petersen, Peter Kersten; Nielsen, Mads; Ng, Andrew Y.; Diao, Pengfei; Igel, Christian; Vachon, Celine M.; Holland, Katharina; Winkel, Rikke Rass; Karssemeijer, Nico; Lillholm, Martin.

    I: IEEE Transactions on Medical Imaging, Bind 35, Nr. 5, 2016, s. 1322-1331.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  12. Udgivet

    CMA-ES with optimal covariance update and storage complexity. / Krause, Oswin; Rodríguez Arbonès, Dídac; Igel, Christian.

    Advances in Neural Information Processing Systems 29 (NIPS 2016). red. / D. D. Lee; M. Sugiyama; U. V. Luxburg; I. Guyon; R. Garnett. Curran Associates, Inc., 2016. s. 370-378.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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