Point cloud based methods have produced promising results in areas such as 3D object detection in autonomous driving.
no code implementations • 5 May 2020 • Si-Qi Liu, Bogdan Georgescu, Zhoubing Xu, Youngjin Yoo, Guillaume Chabin, Shikha Chaganti, Sasa Grbic, Sebastian Piat, Brian Teixeira, Abishek Balachandran, Vishwanath RS, Thomas Re, Dorin Comaniciu
Additionally, we leverage location priors derived from manually labeled COVID-19 chest CTs patients to generate appropriate abnormality distributions.
Landmark localization is a challenging problem in computer vision with a multitude of applications.
Ranked #6 on Facial Landmark Detection on 300W
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.
We propose a new procedure to guide training of a data-driven shape generative model using a structure-aware loss function.
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.