违抗
发表于 2025-3-28 15:12:22
Detection and Delineation of Acute Cerebral Infarct on DWI Using Weakly Supervised Machine Learningport classification and manually delineated pixel level training data. The model is trained on a very large dataset of 10000 studies, achieves detection sensitivity 0.981, detection specificity 0.980 and segmentation Dice score 0.623 on a heterogeneous test set.
stress-response
发表于 2025-3-28 20:39:22
http://reply.papertrans.cn/63/6292/629188/629188_42.png
Shuttle
发表于 2025-3-29 02:10:51
http://reply.papertrans.cn/63/6292/629188/629188_43.png
痛打
发表于 2025-3-29 03:12:06
Harmonizing Diffusion MRI Data Across Magnetic Field Strengthsfiber orientations. We extensively validate our algorithms on . data from the Human Connectome Project (HCP) where we used data from 40 subjects with scans done on both 7T and 3T scanners (10 training + 30 test). Using several quantitative metrics such as the root mean squared error (RMSE) in the ha
Melanocytes
发表于 2025-3-29 09:51:39
Multi-layer Large-Scale Functional Connectome Reveals Infant Brain Developmental Patternsfingerprinting. We propose a heuristic parameter optimization strategy to wisely determine the necessary parameters that define the modular configuration. Our method is validated to be feasible using longitudinal 0–1–2 year’s old infant brain functional MRI data, and reveals novel developmental traj
Enrage
发表于 2025-3-29 13:05:11
Conference proceedings 2018ectal, Kidney and Liver Imaging Applications; Lung Imaging Applications; Breast Imaging Applications; Other Abdominal Applications. .Part III: .Diffusion Tensor Imaging and Functional MRI:. Diffusion Tensor Imaging; Diffusion Weighted Imaging; Functional MRI; Human Connectome. .Neuroimaging and Brai
TATE
发表于 2025-3-29 18:50:15
http://reply.papertrans.cn/63/6292/629188/629188_47.png
否认
发表于 2025-3-29 23:39:05
Alejandro F. Frangi,Julia A. Schnabel,Gabor Fichti
terazosin
发表于 2025-3-30 01:46:12
http://reply.papertrans.cn/63/6292/629188/629188_49.png
inhumane
发表于 2025-3-30 04:17:59
http://reply.papertrans.cn/63/6292/629188/629188_50.png