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Found 7 papers, 1 papers with code
Adaloss: Adaptive Loss Function for Landmark Localization
Landmark localization is a challenging problem in computer vision with a multitude of applications.
Ranked #8 on
Facial Landmark Detection
on 300W
Generating Synthetic X-ray Images of a Person from the Surface Geometry
Furthermore, the synthetic X-ray image is parametrized and can be manipulated by adjusting a set of body markers which are also generated during the X-ray image prediction.
Structure-Aware Shape Synthesis
We propose a new procedure to guide training of a data-driven shape generative model using a structure-aware loss function.
3D Organ Shape Reconstruction from Topogram Images
Automatic delineation and measurement of main organs such as liver is one of the critical steps for assessment of hepatic diseases, planning and postoperative or treatment follow-up.
3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19
Additionally, we leverage location priors derived from manually labeled COVID-19 chest CTs patients to generate appropriate abnormality distributions.
View Invariant Human Body Detection and Pose Estimation from Multiple Depth Sensors
Point cloud based methods have produced promising results in areas such as 3D object detection in autonomous driving.
Automated CT Lung Cancer Screening Workflow using 3D Camera
We demonstrate the effectiveness of our method on a testing set of 110 pairs of depth data and CT scan, resulting in an average error of 5mm in estimating the isocenter, 13mm in determining the scan range, 10mm and 16mm in estimating the AP and lateral WED respectively.
