Institute for Medical Imaging Technology School of Biomedical Engineering Shanghai Jiao Tong University Shanghai 200030 China Department of Radiology and Biomedical Research Imaging Center (BRIC) University of North Carolina at Chapel Hill Chapel Hill NC 27599 USA;
Department of Radiology and Biomedical Research Imaging Center (BRIC) University of North Carolina at Chapel Hill Chapel Hill NC 27599 USA;
Shanghai United Imaging Intelligence Co. Ltd. Shanghai China;
Institute for Medical Imaging Technology School of Biomedical Engineering Shanghai Jiao Tong University Shanghai 200030 China;
Deformable registration; Brain MRI; Deep learning; Morphology;
机译:深形态学简化网络(MS-NET)用于脑磁共振图像的引导式登记
机译:一种用于可变形成像登记的新型深度学习架构,适用于图像引导放射疗法
机译:基于学习的MR脑图像的可变形配准
机译:深入学习促进可变形登记的脑MR图像的形态学简化
机译:用于医学图像的可变形配准算法的开发和验证:在脑,乳腺和前列腺研究中的应用。
机译:无监督功能深学习的mR脑图像的变形配准
机译:无监督的深度特色学习MR脑图像先生的可变形登记