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» Using collaborative learning for image contrast enhancement
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MIAR
2008
IEEE
14 years 2 months ago
Automatic Hepatic Vessel Segmentation Using Graphics Hardware
The accurate segmentation of liver vessels is an important prerequisite for creating oncologic surgery planning tools as well as medical visualization applications. In this paper, ...
Marius Erdt, Matthias Raspe, Michael Sühling
IMAGING
2004
13 years 9 months ago
Does an Expert Use memory Colors to Adjust Images?
In a previous experiment, we have studied the preference judgement of pictorial images with image experts and naive observers. We asked image experts to improve pictorial images t...
Clotilde Boust, Ferruccio Cittadini, Mohamed Ben C...
AIME
2009
Springer
13 years 9 months ago
Learning Approach to Analyze Tumour Heterogeneity in DCE-MRI Data During Anti-cancer Treatment
Abstract. The paper proposes a learning approach to support medical researchers in the context of in-vivo cancer imaging, and specifically in the analysis of Dynamic Contrast-Enhan...
Alessandro Daducci, Umberto Castellani, Marco Cris...
ICIP
2009
IEEE
13 years 5 months ago
Rapid stereo-vision enhanced face detection
This paper presents a real-time face detection algorithm. It improves state-of-the-art 2D object detection techniques by additionally evaluating a disparity map, which is estimate...
Sergey Kosov, Kristina Scherbaum, Kamil Faber, Tho...
MM
2009
ACM
206views Multimedia» more  MM 2009»
14 years 13 days ago
Adaptive, selective, automatic tonal enhancement of faces
This paper presents an efficient, personalizable and yet completely automatic algorithm for enhancing the brightness, tonal balance, and contrast of faces in thumbnails of online...
Hrishikesh Aradhye, George Toderici, Jay Yagnik