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TMI
1998
140views more  TMI 1998»
13 years 7 months ago
Automated Seeded Lesion Segmentation on Digital Mammograms
Abstract—Segmenting lesions is a vital step in many computerized mass-detection schemes for digital (or digitized) mammograms. We have developed two novel lesion segmentation tec...
Matthew A. Kupinski, Maryellen L. Giger
ICCV
2011
IEEE
12 years 7 months ago
Multiplexed Illumination for Scene Recovery in the Presence of Global Illumination
Global illumination effects such as inter-reflections and subsurface scattering result in systematic, and often significant errors in scene recovery using active illumination. R...
Jinwei Gu, Toshihiro Kabayashi, Mohit Gupta, Shree...
MICCAI
2010
Springer
13 years 5 months ago
Groupwise Registration by Hierarchical Anatomical Correspondence Detection
Groupwise registration has been widely investigated in recent years due to its importance in analyzing population data in many clinical applications. To our best knowledge, most o...
Guorong Wu, Qian Wang, Hongjun Jia, Dinggang Shen
ACCV
2007
Springer
14 years 1 months ago
Automated Removal of Partial Occlusion Blur
This paper presents a novel, automated method to remove partial occlusion from a single image. In particular, we are concerned with occlusions resulting from objects that fall on o...
Scott McCloskey, Michael S. Langer, Kaleem Siddiqi
KDD
2012
ACM
238views Data Mining» more  KDD 2012»
11 years 9 months ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....