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Publication
183views
13 years 5 months ago
A New Preprocessing Filter for Digital Mammogram
This paper presents a computer-aided approach to enhancing suspicious lesions in digital mammograms. The developed algorithm improves on a well-known preprocessor filter named cont...
Peyman Rahmati, Ghassan Hamarneh, Doron Nussbaum, ...
MICCAI
2007
Springer
14 years 8 months ago
Non-Local Means Variants for Denoising of Diffusion-Weighted and Diffusion Tensor MRI
Abstract. Diffusion tensor imaging (DT-MRI) is very sensitive to corrupting noise due to the non linear relationship between the diffusionweighted image intensities (DW-MRI) and th...
Christian Barillot, Nicolas Wiest-Daesslé, ...
TIFS
2010
144views more  TIFS 2010»
13 years 6 months ago
Forensic detection of image manipulation using statistical intrinsic fingerprints
—As the use of digital images has increased, so has the means and the incentive to create digital image forgeries. Accordingly, there is a great need for digital image forensic t...
Matthew C. Stamm, K. J. Ray Liu
HISB
2011
111views more  HISB 2011»
12 years 7 months ago
Spinal Cord Segmentation for Volume Estimation in Healthy and Multiple Sclerosis Subjects Using Crawlers and Minimal Paths
—Spinal cord analysis is an important problem in the study of various neurological diseases. Current segmentation and analysis methods in clinical use are slow and laborintensive...
Chris McIntosh, Ghassan Hamarneh, Matthew Toom, Ro...
PRL
2007
101views more  PRL 2007»
13 years 7 months ago
Accuracy versus speed in context-based object detection
The visual detection and recognition of objects is facilitated by context. This paper studies two types of learning methods for realizing context-based object detection in paintin...
Niek Bergboer, Eric O. Postma, H. Jaap van den Her...