The University of Chicago Header Logo

Connection

Aytekin Oto to Pattern Recognition, Automated

This is a "connection" page, showing publications Aytekin Oto has written about Pattern Recognition, Automated.
Connection Strength

0.325
  1. Data Augmentation and Transfer Learning to Improve Generalizability of an Automated Prostate Segmentation Model. AJR Am J Roentgenol. 2020 12; 215(6):1403-1410.
    View in: PubMed
    Score: 0.150
  2. Representation learning: a unified deep learning framework for automatic prostate MR segmentation. Med Image Comput Comput Assist Interv. 2013; 16(Pt 2):254-61.
    View in: PubMed
    Score: 0.088
  3. Automatic prostate MR image segmentation with sparse label propagation and domain-specific manifold regularization. Inf Process Med Imaging. 2013; 23:511-23.
    View in: PubMed
    Score: 0.088
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.