Search Results for author:
Found 5 papers, 2 papers with code
On the Localization of Ultrasound Image Slices within Point Distribution Models
We demonstrate that our multi-modal registration framework can localize images on the 3D surface topology of a patient-specific organ and the mean shape of an SSM.
ESGCN: Edge Squeeze Attention Graph Convolutional Network for Traffic Flow Forecasting
The ES module models the spatio-temporal dynamics using Graph Convolutional Network (GCN) and generates an Adaptive Adjacency Matrix (AAM) with temporal features.
S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences
Statistical shape models (SSMs) are an established way to represent the anatomy of a population with various clinically relevant applications.
Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization
With the normalization methods, we propose ResNet-variant models, DAC-P and DAC-SC, which are robust to the domain gap.
BshapeNet: Object Detection and Instance Segmentation with Bounding Shape Masks
Thus, we propose two types of masks: a bbox mask and a bounding shape (bshape) mask, to represent the object's bbox and boundary shape, respectively.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
