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» Geodesic Deformable Models for Medical Image Analysis
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ICRA
2005
IEEE
118views Robotics» more  ICRA 2005»
15 years 9 months ago
Planning for Steerable Bevel-tip Needle Insertion Through 2D Soft Tissue with Obstacles
— We explore motion planning for a new class of highly flexible bevel-tip medical needles that can be steered to previously unreachable targets in soft tissue. Planning for thes...
Ron Alterovitz, Kenneth Y. Goldberg, Allison M. Ok...
IPMI
2011
Springer
14 years 7 months ago
Generalized Sparse Regularization with Application to fMRI Brain Decoding
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
Bernard Ng, Rafeef Abugharbieh
ICAT
2003
IEEE
15 years 9 months ago
Extracting Rheological Properties of Deformable Objects with Haptic Vision
In this paper, we propose a novel approach to extracting rheological properties of deformable objects based on Haptic vision, which was proposed for vision-based automatic constru...
Naoki Ueda, Kiyotaka Kushihama, Shin-iti Hirai, Hi...
ICIP
1997
IEEE
16 years 5 months ago
Model Based Extraction of Articulated Objects in Image Sequences for Gait Analysis
This paper describes an approach to the extraction of articulated objects which will be used for gait analysis. In most medical applications markers are used to determine trajecto...
Dorthe Meyer, Joachim Denzler, Heinrich Niemann
120
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MICCAI
2010
Springer
15 years 2 months ago
Understanding the Optics to Aid Microscopy Image Segmentation
Abstract. Image segmentation is essential for many automated microscopy image analysis systems. Rather than treating microscopy images as general natural images and rushing into th...
Zhaozheng Yin, Kang Li, Takeo Kanade, Mei Chen