Anders Boesen Lindbo Larsen

  1. 2016
  2. Published

    DeepPy: Pythonic deep learning. / Larsen, Anders Boesen Lindbo.

    Kgs. Lyngby : Technical University of Denmark (DTU), 2016. 3 p. (DTU Compute-Technical Report-2016; No. 6).

    Publication: ResearchReport – Annual report year: 2016

  3. Published

    Learned image representations for visual recognition. / Larsen, Anders Boesen Lindbo; Larsen, Rasmus (Main supervisor); Dahl, Anders Bjorholm (Supervisor).

    Kgs. Lyngby : Technical University of Denmark (DTU), 2016. 34 p. (DTU Compute PHD-2016; No. 418).

    Publication: ResearchPh.D. thesis – Annual report year: 2016

  4. 2015
  5. Published

    Oriented Shape Index Histograms for Cell Classification. / Larsen, Anders Boesen Lindbo; Dahl, Anders Bjorholm; Larsen, Rasmus.

    Image Analysis: 19th Scandinavian Conference, SCIA 2015 Copenhagen, Denmark, June 15–17, 2015 Proceedings. Springer Science+Business Media B.V., 2015. p. 29-38 (Lecture Notes in Computer Science).

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2015

  6. 2014
  7. Published

    Assessment of algorithms for mitosis detection in breast cancer histopathology images. / Veta, Mitko; van Diest, Paul J.; Willems, Stefan M.; Wang, Haibo; Madabhushi, Anant; Cruz-Roa, Angel; Gonzalez, Fabio; Larsen, Anders Boesen Lindbo; Vestergaard, Jacob Schack; Dahl, Anders Bjorholm; Ciresan, Dan C.; Schmidhuber, Jürgen; Giusti, Alessandro; Gambardella, Luca M.; Tek, F. Boray; Walter, Thomas; Wang, Ching-Wei; Kondo, Satoshi; Matuszewski, Bogdan J.; Precioso, Frederic; Snell, Violet; Kittler, Josef; de Campos, Teofilo E.; Khan, Adnan M.; Rajpoot, Nasir M.; Arkoumani, Evdokia; Lacle, Miangela M.; Viergever, Max A.; Pluim, Josien P.W.

    In: Medical Image Analysis, Vol. 20, No. 1, 2014, p. 237-248.

    Publication: Research - peer-reviewJournal article – Annual report year: 2015

  8. Published

    CUDArray: CUDA-based NumPy. / Larsen, Anders Boesen Lindbo.

    Kgs. Lyngby : Technical University of Denmark (DTU), 2014. 5 p. (DTU Compute-Technical Report-2014; No. 21).

    Publication: ResearchReport – Annual report year: 2014

  9. Published
  10. Published

    Vision-based method for tracking meat cuts in slaughterhouses. / Larsen, Anders Boesen Lindbo; Hviid, Marchen Sonja; Engbo Jørgensen, Mikkel; Larsen, Rasmus; Dahl, Anders Lindbjerg.

    In: Meat Science, Vol. 96, 2014, p. 366-372.

    Publication: Research - peer-reviewJournal article – Annual report year: 2015

  11. 2013
  12. Published

    An explorative study on pork loin recognition. / Larsen, Anders Boesen Lindbo; Hviid, Marchen Sonja; Larsen, Rasmus; Dahl, Anders Lindbjerg.

    Workshop on Farm Animal and Food Quality Imaging 2013: Espoo, Finland, June 17, 2013, Proceedings. Kgs. Lyngby : Technical University of Denmark, 2013. p. 49-54 (DTU Compute-Technical Report-2013; No. 12).

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2013

  13. Published

    Online Multi-Spectral Meat Inspection. / Nielsen, Jannik Boll; Larsen, Anders Boesen Lindbo.

    Workshop on Farm Animal and Food Quality Imaging 2013: Espoo, Finland, June 17, 2013, Proceedings. Kgs. Lyngby : Technical University of Denmark, 2013. p. 57 (DTU Compute-Technical Report-2013; No. 12).

    Publication: Research - peer-reviewConference abstract in proceedings – Annual report year: 2013

  14. Published

    Pond of Illusion: Interacting through Mixed Reality. / Nobel-Jørgensen, Morten; Nielsen, Jannik Boll; Larsen, Anders Boesen Lindbo; Olsen, Mikkel Damgaard; Frisvad, Jeppe Revall; Bærentzen, J. Andreas.

    Proceedings of SIGGRAPH Asia 2013 Posters. Association for Computing Machinery, 2013. 26.

    Publication: Research - peer-reviewConference abstract in proceedings – Annual report year: 2013

Previous 1 2 Next
Download list:
Download as PDF
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
PDF
Download as HTML
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
HTML
Download as Word
Select render style:
APAAuthorCBE/CSEHarvardMLAStandardVancouverShortLong
Word