Aggressive
发表于 2025-3-30 11:09:09
http://reply.papertrans.cn/63/6219/621829/621829_51.png
畏缩
发表于 2025-3-30 14:27:20
http://reply.papertrans.cn/63/6219/621829/621829_52.png
vasculitis
发表于 2025-3-30 20:26:28
Eva von Below,Wolfram Ebinger,Peter Lorenz,Ulrich Pramannnignificantly, it provides a more accurate estimate of the uncertainty that correlates with the reconstruction error, compared to the Monte-Carlo inference time Dropout method (Pearson correlation coefficient of . vs. .). The proposed approach has the potential to facilitate safe utilization of DL ba
Obedient
发表于 2025-3-30 20:59:26
http://reply.papertrans.cn/63/6219/621829/621829_54.png
TAIN
发表于 2025-3-31 02:24:41
http://reply.papertrans.cn/63/6219/621829/621829_55.png
geriatrician
发表于 2025-3-31 06:41:14
oss, but it may generate unrealistic details by lacking of constraints in K-space domain. Third, most of the networks after training are fixed and have limited adaptation capability in the inference time, and the patient-specific information cannot be effectively used. To resolve these challenges, w
Osteoporosis
发表于 2025-3-31 12:46:27
Eva von Below,Wolfram Ebinger,Peter Lorenz,Ulrich Pramannntal results show that when dealing with the in-vivo k-space data, unrolled optimization network with binary under-sampling block and ST estimator had better reconstruction performance compared to the ones with either U-Net reconstruction network or approximate sampling pattern optimization network,