allergy
发表于 2025-3-26 21:46:21
Mariah DeSerisy,Emily Hirsh,Jessica Macklinependent samples. We show that even with standard 3D CNNs, there is value in augmenting the network to exploit information regarding dependent samples. We present empirical results for predicting cognitive trajectories (slope and intercept) from morphometric change images derived from multiple time
有特色
发表于 2025-3-27 02:13:26
Jessica Broitmanvel task-driven data augmentation method where to synthesize new training examples, a generative network explicitly models and applies deformation fields and additive intensity masks on existing labelled data, modeling shape and intensity variations, respectively. Crucially, the generative model is
Ige326
发表于 2025-3-27 07:46:22
Joseph Palombovel task-driven data augmentation method where to synthesize new training examples, a generative network explicitly models and applies deformation fields and additive intensity masks on existing labelled data, modeling shape and intensity variations, respectively. Crucially, the generative model is
Lipohypertrophy
发表于 2025-3-27 11:51:18
Carina Grossmark,Robert Grossmarkting the mean ordering by fitting a generalized Mallows model. In order to validate the biomarker ordering obtained using nDEBM, we also present a framework for Simulation of Imaging Biomarkers’ Temporal Evolution (SImBioTE) that mimics neurodegeneration in brain regions. SImBioTE trains variational
新奇
发表于 2025-3-27 14:32:22
Scott M. Palyo a variational approximation of the information bottleneck principle with stochastic latent space. In the application setting of reconstructing the sequence of cardiac transmembrane potential from body-surface potential, we assess the two types of generalization abilities of the presented network ag
渗入
发表于 2025-3-27 19:07:04
improve the detection performance of 14 common thoracic diseases. Through learning the correspondences between different types of feature representations, common features learned by both the report generation and the classification model are assigned with higher attention weights and the weighted v
上流社会
发表于 2025-3-27 23:18:09
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FIN
发表于 2025-3-28 02:25:04
Amy E. Margolis,Michael P. Milhamlly generated phantoms with success and to a third phantom with “exact” (no statistical fluctuations) projection data with results which confirm our understanding of the fundamental process of iterative image reconstruction. We conclude that the behavior of the target functions whose extrema are sou
Organonitrile
发表于 2025-3-28 06:27:11
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山间窄路
发表于 2025-3-28 11:18:04
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