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

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

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Bibliographische Detailangaben
Körperschaften: UNSURE (VerfasserIn), GRAIL (VerfasserIn), MICCAI (VeranstalterIn)
Weitere Verfasser: Sudre, Carole H. (HerausgeberIn), Fehri, Hamid (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Cham Springer 2020
Schriftenreihe:Lecture notes in computer science 12443
Schlagworte:
Konferenzschrift > Bildverarbeitung > Bildgebendes Verfahren > Maschinelles Lernen
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Titel Jahr Verfasser
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Image Registration via Stochastic Gradient Markov Chain Monte Carlo 2020 Grzech, Daniel
RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image Segmentation 2020 Gantenbein, Marc
Hierarchical Brain Parcellation with Uncertainty 2020 Graham, Mark S.
Graph Matching Based Connectomic Biomarker with Learning for Brain Disorders 2020 Shen, Rui Sherry
Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm Birth 2020 Irzan, Hassna
HACT-Net: A Hierarchical Cell-to-Tissue Graph Neural Network for Histopathological Image Classification 2020 Pati, Pushpak
Intraoperative Liver Surface Completion with Graph Convolutional VAE 2020 Foti, Simone
Quantitative Comparison of Monte-Carlo Dropout Uncertainty Measures for Multi-class Segmentation 2020 Camarasa, Robin
Improving Pathological Distribution Measurements with Bayesian Uncertainty 2020 Tam, Ka Ho
Uncertainty Estimation for Assessment of 3D US Scan Adequacy and DDH Metric Reliability 2020 Kannan, Arunkumar
Detection of Discriminative Neurological Circuits Using Hierarchical Graph Convolutional Networks in fMRI Sequences 2020 Xing, Xiaodan
Clustering-Based Deep Brain MultiGraph Integrator Network for Learning Connectional Brain Templates 2020 Demir, Ugur
Uncertainty Estimation in Landmark Localization Based on Gaussian Heatmaps 2020 Payer, Christian
Improving Reliability of Clinical Models Using Prediction Calibration 2020 Thiagarajan, Jayaraman J.
Graph Domain Adaptation for Alignment-Invariant Brain Surface Segmentation 2020 Gopinath, Karthik
Multi-scale Profiling of Brain Multigraphs by Eigen-Based Cross-diffusion and Heat Tracing for Brain State Profiling 2020 Saglam, Mustafa
The GraphNet Zoo: An All-in-One Graph Based Deep Semi-supervised Framework for Medical Image Classification 2020 Vriendt, Marianne de
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