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» Active Volume Models for Medical Image Segmentation
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141
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MICCAI
2001
Springer
15 years 8 months ago
Deformable Organisms for Automatic Medical Image Analysis
We introduce a new paradigm for automatic medical image analysis that adopts concepts from the field of Artificial Life. Our approach prescribes deformable organisms, autonomous ag...
Ghassan Hamarneh, Tim McInerney, Demetri Terzopoul...
158
Voted
ICARCV
2006
IEEE
187views Robotics» more  ICARCV 2006»
15 years 9 months ago
Image Segmentation Methods for Detecting Blood Vessels in Angiography
— Computer-assisted detection and segmentation of blood vessels in angiography are crucial for endovascular treatments and embolization. In this article, I give an overview of th...
Albert C. S. Chung
148
Voted
MICCAI
2009
Springer
16 years 23 days ago
Mesh Generation from 3D Multi-material Images
Generating realistic geometric models from 3D segmented images is an important task in many biomedical applications. Segmented 3D images impose particular challenges for meshing a...
Dobrina Boltcheva, Mariette Yvinec, Jean-Daniel Bo...
127
Voted
MICCAI
1998
Springer
15 years 7 months ago
AnatomyBrowser: A Framework for Integration of Medical Information
In this paper we present AnatomyBrowser, a framework for integration of images and textual information in medical applications. AnatomyBrowser allows the user to combine 3D surfac...
Polina Golland, Ron Kikinis, Christopher Umans, Mi...
157
Voted
MICCAI
2006
Springer
16 years 4 months ago
A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci
This paper presents a learning based method for automatic extraction of the major cortical sulci from MRI volumes or extracted surfaces. Instead of using a few pre-defined rules su...
Songfeng Zheng, Zhuowen Tu, Alan L. Yuille, Allan ...