Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation Given Partial Grouping Constraints
IEEE Transactions on Pattern Analysis and Machine Intelligence
An introduction to ROC analysis
Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Normalized Cuts Revisited: A Reformulation for Segmentation with Linear Grouping Constraints
Journal of Mathematical Imaging and Vision
iDetect: Content Based Monitoring of Complex Networks using Mobile Agents
Applied Soft Computing
Efficient visual attention based framework for extracting key frames from videos
Image Communication
Categorization of malicious behaviors using ontology-based cognitive agents
Data & Knowledge Engineering
Saliency for image manipulation
The Visual Computer: International Journal of Computer Graphics
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The objective of the present study is to explore prioritization methods in diagnostic imaging modalities to automatically determine the contents of medical images. In this paper, we propose an efficient prioritization of brain MRI. First, the visual perception of the radiologists is adapted to identify salient regions. Then this saliency information is used as an automatic label for accurate segmentation of brain lesion to determine the scientific value of that image. The qualitative and quantitative results prove that the rankings generated by the proposed method are closer to the rankings created by radiologists.