Department of Computer Science, the Johns Hopkins University, 3400 North Charles Street, Baltimore, MD, 21218, USA;
The Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, Maryland 20723, USA;
Department of Computer Science, the Johns Hopkins University, 3400 North Charles Street, Baltimore, MD, 21218, USA;
The Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, Maryland 20723, USA;
Department of Computer Science, the Johns Hopkins University, 3400 North Charles Street, Baltimore, MD, 21218, USA;
Department of Computer Science, the Johns Hopkins University, 3400 North Charles Street, Baltimore, MD, 21218, USA;
intensity-based 2D/3D registration; image-guided therapy;
机译:术中图像引导的骨科手术中基于图像的多视图2D / 3D注册:结合基于基准的C臂跟踪和GPU加速
机译:使用6DOF机器人沙发的3D / 3D和3D / 2D注册的准确性
机译:多体3D-2D注册,用于骨科外科手术中盆腔脱位的图像引导减少
机译:一种迭代框架,用于提高基于术中强度的2D / 3D注册的准确性,用于图像引导的矫形外科手术
机译:基于网格的图像分区,用于图像引导干预中的3D-2D配准。
机译:基于术中的图像的多视图2D / 3D注册用于图像引导的矫形外科手术:掺入基于基于基于基于基于的C形臂跟踪和GPU-加速度
机译:一个迭代框架,可提高基于图像引导的骨科手术中基于强度的2D / 3D配准的准确性