Uncertainty for safe utilization of ...
UNSURE (Workshop) (2020 :)

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  • Uncertainty for safe utilization of machine learning in medical imaging, and graphs in biomedical image analysis = second International Workshop, UNSURE 2020, and third International Workshop, GRAIL 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 8, 2020 : proceedings /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Uncertainty for safe utilization of machine learning in medical imaging, and graphs in biomedical image analysis/ edited by Carole H. Sudre ... [et al.].
    其他題名: second International Workshop, UNSURE 2020, and third International Workshop, GRAIL 2020, held in conjunction with MICCAI 2020, Lima, Peru, October 8, 2020 : proceedings /
    其他題名: UNSURE 2020
    其他作者: Sudre, Carole H.
    團體作者: UNSURE (Workshop)
    出版者: Cham :Springer International Publishing : : 2020.,
    面頁冊數: xvii, 222 p. :ill., digital ;24 cm.
    內容註: UNSURE 2020 -- Image registration via stochastic gradient Markov chain Monte Carlo -- RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification -- Hierarchical brain parcellation with uncertainty -- Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-Class Segmentation -- Uncertainty Estimation in Landmark Localization based on Gaussian Heatmaps -- Weight averaging impact on the uncertainty of retinal artery-venous segmentation -- Improving Pathological Distribution Measurements with Bayesian Uncertainty -- Improving Reliability of Clinical Models using Prediction Calibration -- Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior -- Uncertainty Estimation for Assessment of 3D US Scan Adequacy and DDH Metric Reliability -- GRAIL 2020 -- Clustering-based Deep Brain MultiGraph Integrator Network for Learning Connectional Brain Templates -- Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences -- Graph Matching Based Connectomic Biomarker with Learning for Brain Disorders -- Multi-Scale Profiling of Brain Multigraphs by Eigen-based Cross-Diffusion and Heat Tracing for Brain State Proling -- Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation -- Min-cut Max-flow for Network Abnormality Detection: Application to Preterm Birth -- Geometric Deep Learning for Post-Menstrual Age Prediction based on the Neonatal White Matter Cortical Surface -- The GraphNet Zoo: An All-in-One Graph Based Deep Semi-Supervised Framework for Medical Image Classification -- Intraoperative Liver Surface Completion with Graph Convolutional VAE -- HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification.
    Contained By: Springer Nature eBook
    標題: Diagnostic imaging - Congresses. - Data processing -
    電子資源: https://doi.org/10.1007/978-3-030-60365-6
    ISBN: 9783030603656
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W9404693 電子資源 11.線上閱覽_V 電子書 EB RC78.7.D53 U57 2020 一般使用(Normal) 在架 0
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