Key Laboratory of Machine Perception (MOE), Department of Machine Intelligence, Peking University, Beijing, China;
Key Laboratory of Machine Perception (MOE), Department of Machine Intelligence, Peking University, Beijing, China;
Key Laboratory of Machine Perception (MOE), Department of Machine Intelligence, Peking University, Beijing, China;
USens Inc., San Jose, USA;
Luoyang Institute of Science and Technology, Luoyang, China;
School of Stomatology, Peking University, Beijing, China;
Key Laboratory of Machine Perception (MOE), Department of Machine Intelligence, Peking University, Beijing, China;
机译:非刚性视网膜图像注册使用无监督的结构驱动的回归网络
机译:一种改进的基于3D形状上下文的非刚性配准方法及其在小动物骨骼配准中的应用。
机译:基于相会的空中光学和LIDAR图像的2D-3D注册场景抽象方法
机译:使用基于CNN的回归的非刚性Craniofacial 2D-3D注册
机译:使用Bhattacharyya系数和局部线性嵌入的刚性和非刚性2D-3D姿势估计
机译:利用2D-3D图像配准开发快速患者位置验证软件及其临床经验
机译:非刚性2D-3D配准,用于计算机辅助腹主动脉瘤修复程序