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Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018; 21st International C Alejandro F. Frangi,Julia A. Schnabel,Gabor

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41#
發(fā)表于 2025-3-28 15:12:22 | 只看該作者
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.
42#
發(fā)表于 2025-3-28 20:39:22 | 只看該作者
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發(fā)表于 2025-3-29 02:10:51 | 只看該作者
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發(fā)表于 2025-3-29 03:12:06 | 只看該作者
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
45#
發(fā)表于 2025-3-29 09:51:39 | 只看該作者
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
46#
發(fā)表于 2025-3-29 13:05:11 | 只看該作者
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
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發(fā)表于 2025-3-29 18:50:15 | 只看該作者
48#
發(fā)表于 2025-3-29 23:39:05 | 只看該作者
Alejandro F. Frangi,Julia A. Schnabel,Gabor Fichti
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發(fā)表于 2025-3-30 01:46:12 | 只看該作者
50#
發(fā)表于 2025-3-30 04:17:59 | 只看該作者
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