高调 发表于 2025-3-23 12:01:30
http://reply.papertrans.cn/63/6293/629220/629220_11.pngtariff 发表于 2025-3-23 16:15:03
http://reply.papertrans.cn/63/6293/629220/629220_12.png经典 发表于 2025-3-23 21:28:05
An Explainable Deep Framework: Towards Task-Specific Fusion for Multi-to-One MRI Synthesisverage module; (2) highlight the area the network tried to refine during synthesizing by a task-specific attention module. We conduct experiments on the BraTS2021 dataset of 1251 subjects, and results on arbitrary sequence synthesis indicate that the proposed method achieves better performance thanTailor 发表于 2025-3-23 22:39:29
http://reply.papertrans.cn/63/6293/629220/629220_14.pngevaculate 发表于 2025-3-24 05:27:31
http://reply.papertrans.cn/63/6293/629220/629220_15.pngbrowbeat 发表于 2025-3-24 07:43:29
http://reply.papertrans.cn/63/6293/629220/629220_16.pngDeference 发表于 2025-3-24 12:57:34
Noise Conditioned Weight Modulation for Robust and Generalizable Low Dose CT Denoisingc benchmark datasets show that the proposed dynamic convolutional layer significantly improves the denoising performance of the baseline network, as well as its robustness and generalization to previously unseen noise levels.变化 发表于 2025-3-24 16:05:17
Low-Dose CT Image Super-Resolution Network with Dual-Guidance Feature Distillation and Dual-Path ConThe DGFM guides the network to concentrate the feature representation of the 3D inter-slice information in the region of interest (ROI) by introducing the average CT image and segmentation mask as complements of the original LDCT input. Meanwhile, the elaborate SAB utilizes the essential multi-scale闲聊 发表于 2025-3-24 20:29:08
http://reply.papertrans.cn/63/6293/629220/629220_19.pngCongeal 发表于 2025-3-25 00:00:45
http://reply.papertrans.cn/63/6293/629220/629220_20.png