钻孔 发表于 2025-3-25 07:19:11
http://reply.papertrans.cn/63/6293/629243/629243_21.png协奏曲 发表于 2025-3-25 07:42:32
http://reply.papertrans.cn/63/6293/629243/629243_22.png构成 发表于 2025-3-25 11:56:17
Peter Savadjiev,Jennifer S. W. Campbell,G. Bruce Pike,Kaleem Siddiqi大猩猩 发表于 2025-3-25 18:07:34
Isabelle Corouge,P. Thomas Fletcher,Sarang Joshi,John H. Gilmore,Guido GerigPepsin 发表于 2025-3-25 23:02:29
Unified Point Selection and Surface-Based Registration Using a Particle Filterd through a point selection algorithm derived from a stiffness model of surface-based registration, allowing the selection algorithm to incorporate knowledge of the uncertainties in the registration parameters. We show that the behavior of target registration error improves as the quality measure of the registration points increases.Limpid 发表于 2025-3-26 00:57:30
Uncertainty in White Matter Fiber Tractographyion between two areas in the brain is presented, and a new model of the local water diffusion profile is introduced. We also provide a theorem that facilitates the estimation of the parameters in this diffusion model, making the presented method simple to implement.他姓手中拿着 发表于 2025-3-26 08:08:26
3D Curve Inference for Diffusion MRI Regularizationes at each voxel with those in a local neighborhood. We argue that this provides several advantages over earlier regularization methods. We validate the approach quantitatively on a biological phantom and on synthetic data, and qualitatively on data acquired . from a human brain.Additive 发表于 2025-3-26 10:05:02
Surface Alignment of 3D Spherical Harmonic Models: Application to Cardiac MRI Analysisst implementation. Applications of medical image analysis (., spatio-temporal modeling of heart shape changes) are used to demonstrate this approach. Theoretical proofs and experimental results show that our approach is an accurate and flexible surface correspondence alignment method.Middle-Ear 发表于 2025-3-26 15:44:14
http://reply.papertrans.cn/63/6293/629243/629243_29.pngHERTZ 发表于 2025-3-26 18:30:58
http://reply.papertrans.cn/63/6293/629243/629243_30.png