一加就喷出 发表于 2025-3-28 15:13:18
GSR-Net: Graph Super-Resolution Network for Predicting High-Resolution from Low-Resolution Functiondimensional space (encoding and decoding node attributes or sample features), our GSR-Net operates . on a single connectome: a fully connected graph where conventionally, a node denotes a brain region, nodes have no features, and edge weights denote brain connectivity strength between two regions ofKEGEL 发表于 2025-3-28 21:24:17
http://reply.papertrans.cn/63/6207/620677/620677_42.png腐烂 发表于 2025-3-29 01:16:04
Division and Fusion: Rethink Convolutional Kernels for 3D Medical Image Segmentation,at strengthens the spatial information of feature maps. During the fusion phase, all kernels are fused into one 3D kernel to reduce the parameters of deployed model. We extensively evaluated our DF mechanism on prostate ultrasound volume segmentation. The results demonstrate a consistent improvementGET 发表于 2025-3-29 06:26:32
http://reply.papertrans.cn/63/6207/620677/620677_44.pngSpinous-Process 发表于 2025-3-29 08:07:03
http://reply.papertrans.cn/63/6207/620677/620677_45.pngAdj异类的 发表于 2025-3-29 13:14:53
http://reply.papertrans.cn/63/6207/620677/620677_46.png并排上下 发表于 2025-3-29 19:06:37
http://reply.papertrans.cn/63/6207/620677/620677_47.pngIntact 发表于 2025-3-29 22:02:05
http://reply.papertrans.cn/63/6207/620677/620677_48.png大吃大喝 发表于 2025-3-30 00:10:52
http://reply.papertrans.cn/63/6207/620677/620677_49.png争议的苹果 发表于 2025-3-30 07:49:31
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