A5069947107- Medical Image Segmentation Techniques
- Robotics and Sensor-Based Localization
- Delphi Technique in Research
- Seismic Imaging and Inversion Techniques
- Advanced Vision and Imaging
- Computer Graphics and Visualization Techniques
- Robot Manipulation and Learning
- Hydrocarbon exploration and reservoir analysis
- Advanced Data Compression Techniques
- Medical Imaging Techniques and Applications
Shanghai Jiao Tong University
2022
Centre de Géosciences
2001-2008
École Nationale Supérieure des Mines de Paris
1998
Transparent objects are common in our daily life and frequently handled the automated production line. Robust vision-based robotic grasping manipulation for these would be beneficial automation. However, majority of current algorithms fail this case since they heavily rely on depth image, while ordinary sensors usually to produce accurate information transparent owing reflection refraction light. In work, we address issue by contributing a large-scale real-world dataset object completion,...
Introduction: This study aimed to establish a core set of confounders for real-world essential hypertension studies improve the reasonable control confounding bias. Methods: Controlled clinical published between January 2001 and June 2020 were retrieved from PubMed. Matched or adjusted these compiled form pool potential candidates. The importance each confounder was assessed through Delphi expert consultation, considering its statistical significance impacting prognosis in applicability...
PreviousNext No AccessSEG Technical Program Expanded Abstracts 1998Common angle image gather: A strategy for imaging complex mediaAuthors: Sheng XuHervé ChaurisGilles LambaréMark NobleSheng XuÉcole des Mines de Paris, Hervé ChaurisÉcole Gilles LambaréÉcole and Mark NobleÉcole Parishttps://doi.org/10.1190/1.1820207 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Permalink:...
An interactive navigation system for virtual bronchoscopy is presented, which based solely on GPU high performance multi-histogram volume rendering.