Pengfei Diao
Pengfei Diao

Ph.d.-studerende


Udgivelsesår:
  1. 2017
  2. Udgivet

    Risk stratification of women with false-positive test results in mammography screening based on mammographic morphology and density: a case control study

    Winkel, R. R., von Euler-Chelpin, My Catarina, Lynge, Elsebeth, Diao, Pengfei, Lillholm, Martin, Kallenberg, M., Forman, Julie Lyng, Nielsen, Michael Bachmann, Uldall, W. Y., Nielsen, Mads & Vejborg, I. M. M., aug. 2017, I : Cancer Epidemiology. 49, s. 53-60 8 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  3. 2016
  4. Udgivet

    Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring

    Kallenberg, M. G. J., Petersen, P. K., Nielsen, Mads, Ng, A. Y., Diao, Pengfei, Igel, Christian, Vachon, C. M., Holland, K., Winkel, R. R., Karssemeijer, N. & Lillholm, Martin, 2016, I : IEEE Transactions on Medical Imaging. 35, 5, s. 1322-1331 10 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  5. 2015
  6. Udgivet

    Assessing breast cancer masking risk in full field digital mammography with automated texture analysis

    Kallenberg, M. G. J., Lillholm, Martin, Diao, Pengfei, Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, 7th International Workshop on Breast Densitometry and Cancer Risk Assessment (Non-CME). University of California, s. 109 1 s.

    Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskningfagfællebedømt

  7. Udgivet

    Assessing breast cancer masking risk with automated texture analysis in full field digital mammography

    Kallenberg, M. G. J., Lillholm, Martin, Diao, Pengfei, Petersen, K., Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, Breast Imaging and Interventional. Radiological Society of North America, Inc, s. 218 1 s.

    Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskningfagfællebedømt

  8. Udgivet

    Automated texture scoring for assessing breast cancer masking risk in full field digital mammography

    Kallenberg, M. G. J., Petersen, P. K., Lillholm, Martin, Jørgensen, D. R., Diao, Pengfei, Holland, K., Karssemeijer, N., Igel, Christian & Nielsen, Mads, 2015, I : Insights into Imaging. 6, 1, Supplement, 1 s., B-0212.

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningfagfællebedømt

  9. Udgivet

    Inter-observer agreement according to three methods of evaluating mammographic density and parenchymal pattern in a case control study: impact on relative risk of breast cancer

    Winkel, R. R., von Euler-Chelpin, My Catarina, Nielsen, Mads, Diao, Pengfei, Nielsen, Michael Bachmann, Uldall, W. Y. & Vejborg, I. M. M., 2015, I : BMC Cancer. 15, 14 s., 274.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  10. 2014
  11. Udgivet

    Breast tissue segmentation and mammographic risk scoring using deep learning

    Petersen, P. K., Nielsen, Mads, Diao, Pengfei, 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

ID: 51191698