Medical Imaging and Augmented Reality
Third International Workshop, Shanghai, China, August 17-18, 2006 Proceedings
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14 Result(s)
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Lixu Gu
Artificial Intelligence
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Chapter and Conference Paper
Revisiting nnU-Net for Iterative Pseudo Labeling and Efficient Sliding Window Inference
nnU-Net serves as a good baseline for many medical image segmentation challenges in recent years. It works pretty well for fully-supervised segmentation tasks. However, it is less efficient for inference and c...
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Chapter and Conference Paper
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images
Radiation therapy (RT) is widely employed in the clinic for the treatment of head and neck (HaN) cancers. An essential step of RT planning is the accurate segmentation of various organs-at-risks (OARs) in HaN ...
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Chapter and Conference Paper
Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation
Recent studies have witnessed the effectiveness of 3D convolutions on segmenting volumetric medical images. Compared with the 2D counterparts, 3D convolutions can capture the spatial context in three dimension...
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Chapter and Conference Paper
Comprehensive Importance-Based Selective Regularization for Continual Segmentation Across Multiple Sites
In clinical practice, a desirable medical image segmentation model should be able to learn from sequential training data from multiple sites, as collecting these data together could be difficult due to the sto...
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Chapter and Conference Paper
A Novel Level Set Based Shape Prior Method for Liver Segmentation from MRI Images
Liver segmentation in MR Image is the first step of our automated liver perfusion analysis project. Traditional Level Set methods and active contours were often used to segment the liver, but the results were ...
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Chapter and Conference Paper
Non-rigid 2D-3D Registration Based on Support Vector Regression Estimated Similarity Metric
In this paper, we proposed a novel non-rigid 2D-3D registration framework, which is based on Support Vector Regression (SVR) to compensate the disadvantages of generating large amounts of Digitally Rendered Ra...
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Book and Conference Proceedings
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Chapter and Conference Paper
A Novel Liver Perfusion Analysis Based on Active Contours and Chamfer Matching
Liver Perfusion gives important information about blood supply of liver. However, in daily clinical diagnosis, radiologists have to manually mark the perfusion position in time-sequence images due to the motio...
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Chapter and Conference Paper
Real-Time Virtual Surgery Simulation Employing MM-Model and Adaptive Spatial Hash
In this paper, MM-Model is presented for real-time simulation of 3D deformable objects on both global level and local region. This model consists of a deformable centerline and dynamic surface reconstruction m...
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Chapter and Conference Paper
Medical Image Alignment by Normal Vector Information
In this paper, a new approach on image registration is presented. We introduce a novel conception- normal vector information (NVI) – to evaluate the similarity between two images. NVI method takes advantage of...
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Chapter and Conference Paper
A Novel Multi-stage 3D Medical Image Segmentation: Methodology and Validation
In this paper, we present a novel multi-stage algorithm for 3D medical image segmentation that is inspired by an improved Fast Marching method and a morphological reconstruction algorithm. The segmentation pro...
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Chapter and Conference Paper
Real-Time Simulation of Deformable Soft Tissue Based on Mass-Spring and Medial Representation
In this paper, we present a novel deformable model for soft tissue simulation in a real-time manner. The innovative model consists of two sub-models: the surface one and the internal one, which are based on Ma...
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Chapter and Conference Paper
Dynamic Heart Modeling Based on a Hybrid 3D Segmentation Approach
A hybrid 3D segmentation approach is proposed in this paper to perform a physical beating heart modeling from dynamic CT images. A Morphological Recursive Erosion operation is firstly employed to reduce the co...
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Chapter and Conference Paper
3D Automatic Fiducial Marker Localization Approach for Frameless Stereotactic Neuro-surgery Navigation
Although frameless stereotactic neuro-surgical navigation systems are widely used in many neuro-surgical centers around the world, most of the systems still require the user to define the position of fiducial ...
