Precision Learning

Precision Learning is a research direction, seeking
to integrate known operators into machine learning models to improve
generalization und efficiency.

Known operators have been shown to hold the
potential of reducing maximal error bounds when incorporated into deep
neural networks. This suggests their inclusion could allow models to
learn from less data and increase robustness.

• Huang Y., Taubmann O., Huang X., Haase V., Lauritsch G., Maier A.:
  A NEW WEIGHTED ANISOTROPIC TOTAL VARIATION ALGORITHM FOR LIMITED ANGLE TOMOGRAPHY
  2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) (Prague, April 13, 2016 - April 16, 2016)
  In: the 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2016
  DOI: 10.1109/ISBI.2016.7493336
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Huang-ANW.pdf
  BibTeX: Download
• Haase V., Taubmann O., Huang Y., Krings G., Lauritsch G., Maier A., Mertins A.:
  Make the Most of Time: Temporal Extension of the iTV Algorithm for 4D Cardiac C-Arm CT
  Bildverarbeitung für die Medizin 2016 (Berlin)
  In: Bildverarbeitung für die Medizin 2016, Berlin Heidelberg: 2016
  DOI: 10.1007/978-3-662-49465-3_31
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Haase16-MTM.pdf
  BibTeX: Download
• Huang Y., Taubmann O., Huang X., Hornegger J., Lauritsch G., Maier A.:
  Restoration of Missing Data in Limited Angle Tomography Based on Consistency Conditions
  The 14th International Meeting on Fully Three‐Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Xi'an, China, June 18, 2017 - June 23, 2017)
  In: Ge Wang and Xuanqin Mou (ed.): The 14th International Meeting on Fully Three‐Dimensional Image Reconstruction in Radiology and Nuclear Medicine 2017
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Huang17-ROM.pdf
  BibTeX: Download
• Huang Y., Lu Y., Taubmann O., Lauritsch G., Maier A.:
  Traditional machine learning for limited angle tomography
  In: International Journal of Computer Assisted Radiology and Surgery 8/2018 (2018), p. 1-9
  ISSN: 1861-6410
  DOI: 10.1007/s11548-018-1851-2
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Huang18-TML_IJCARS.pdf
  BibTeX: Download
• Huang Y., Taubmann O., Huang X., Haase V., Lauritsch G., Maier A.:
  Scale-Space Anisotropic Total Variation for Limited Angle Tomography
  In: IEEE Transactions on Radiation and Plasma Medical Sciences 2 (2018), p. 307-314
  ISSN: 2469-7311
  DOI: 10.1109/TRPMS.2018.2824400
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Huang18-SAT.pdf
  BibTeX: Download