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» Fast and Effective Retrieval of Medical Tumor Shapes
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MICCAI
2003
Springer
14 years 6 months ago
Quantifying Evolving Processes in Multimodal 3D Medical Images
Quantitative measurements of changes in evolving brain pathology, such as multiple sclerosis lesions and brain tumors, are important for clinicians to perform pertinent diagnoses a...
Yuhang Wang, Tilmann Steinberg, Fillia Makedon, Ja...
MICCAI
2009
Springer
14 years 6 months ago
A Shape Relationship Descriptor for Radiation Therapy Planning
In this paper we address the challenge of matching patient geometry to facilitate the design of patient treatment plans in radiotherapy. To this end we propose a novel shape descri...
Michael M. Kazhdan, Patricio D. Simari, Todd McNut...
MICCAI
2005
Springer
14 years 6 months ago
Optimal Embedding for Shape Indexing in Medical Image Databases
Fast retrieval using organ shapes is crucial in medical image databases since shape is a clinically prominent feature. In this paper, we propose that 2-D shapes in medical image da...
Xiaoning Qian, Hemant Tagare
MICCAI
2009
Springer
14 years 9 days ago
Conditional Variability of Statistical Shape Models Based on Surrogate Variables
We propose to increment a statistical shape model with surrogate variables such as anatomical measurements and patient-related information, allowing conditioning the shape distribu...
Rémi Blanc, Mauricio Reyes, Christof Seiler...
SETN
2004
Springer
13 years 10 months ago
Automated Medical Image Registration Using the Simulated Annealing Algorithm
This paper presents a robust, automated registration algorithm, which may be applied to several types of medical images, including CTs, MRIs, Xrays, Ultrasounds and dermatological ...
Ilias Maglogiannis, Elias P. Zafiropoulos