Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Boyer, Kim L."'
The automatic segmentation of human knee cartilage from 3D MR images is a useful yet challenging task due to the thin sheet structure of the cartilage with diffuse boundaries and inhomogeneous intensities. In this paper, we present an iterative multi
Externí odkaz:
http://arxiv.org/abs/1307.2965
Autor:
Wang, Quan, Boyer, Kim L.
We present the MDS feature learning framework, in which multidimensional scaling (MDS) is applied on high-level pairwise image distances to learn fixed-length vector representations of images. The aspects of the images that are captured by the learne
Externí odkaz:
http://arxiv.org/abs/1306.3294
Matching cells over time has long been the most difficult step in cell tracking. In this paper, we approach this problem by recasting it as a classification problem. We construct a feature set for each cell, and compute a feature difference vector be
Externí odkaz:
http://arxiv.org/abs/1207.3127
Autor:
Wang, Quan, Boyer, Kim L.
Publikováno v:
In Computer Vision and Image Understanding December 2012 116(12):1178-1194
Autor:
Wu, Dijia, Boyer, Kim L.
Publikováno v:
In Computer Vision and Image Understanding 2011 115(6):759-770
Autor:
Ünsalan, Cem, Boyer, Kim L.
Publikováno v:
In Computer Vision and Image Understanding 2005 98(3):423-461
Publikováno v:
In Academic Radiology 2005 12(5):544-553
Publikováno v:
In Computer Vision and Image Understanding 2002 88(3):152-188