Imaging and Visualization Department,Siemens Corporate Research, USA;
Department of Computer Science,Wayne State University, USA;
Imaging and Visualization Department,Siemens Corporate Research, USA;
Healthcare Sector, Siemens AG, Forchheim, Germany;
Imaging and Visualization Department,Siemens Corporate Research, USA;
机译:基于特征的3D-3D CT血管造影到锥束CT的算法对复杂腹主动脉瘤的腔内修复的性能
机译:基于注册的测地的测地轴源激活轮廓模型与3D黑血管腹部主动脉瘤的内腔和外壁分割
机译:巧妙地利用两个X射线图像进行2-D / 3-D配准,将其应用于腹主动脉瘤干预
机译:基于高效的图形可变形2D / 3D配准算法,具有腹主动脉瘤干预措施的应用
机译:使用靶向纳米粒子的诊断,破裂风险评估和腹主动脉瘤治疗干预
机译:校正至:基于特征的3D-3D CT血管造影与锥束CT配准的算法用于复杂腹主动脉瘤的血管内修复
机译:校正:CT血管造影三维3D注册的基于特征为基于特征的算法的性能,用于复合腹主动脉瘤的血管内修复