机译:使用时空可变形配准从3D超声图像对早产新生儿脑室进行纵向分析
Robarts Research Institute, University of Western Ontario, London, ON, Canada;
Department of Electronic Engineering, City University of Hong Kong, China;
Robarts Research Institute, University of Western Ontario, London, ON, Canada;
Robarts Research Institute, University of Western Ontario, London, ON, Canada;
Department of Electronic Engineering, City University of Hong Kong, China;
Robarts Research Institute, University of Western Ontario, London, ON, Canada;
Department of Clinical Neuroscience, University of Calgary, Calgary, AB, Canada;
Robarts Research Institute, University of Western Ontario, London, ON, Canada;
Three-dimensional displays; Pediatrics; Hemorrhaging; Two dimensional displays; Convex functions; Optimization; Imaging;
机译:从3D超声图像中提取新生儿脑室的自动分割方法
机译:3D超声图像的稳健的多尺度可变形配准
机译:定量和可视化早产新生儿3D侧脑室超声图像中分割准确性和变异性的框架
机译:基于凸优化的超声图像对早产儿新生儿脑室的纵向分析
机译:3D变形多峰图像配准:在马PET和CT图像中的应用
机译:超声图像中的3D前列腺分割结合纵向图像配准和机器学习
机译:使用3D超声图像量化早产新生儿的脑室容积变化