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Grigorescu I
(2021)
Uncertainty-Aware Deep Learning Based Deformable Registration
in Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis - 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings
Dawood T
(2022)
Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction
in Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge - 12th International Workshop, STACOM 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Revised Selected Papers
Mariscal-Harana J
(2022)
Improved AI-Based Segmentation of Apical and Basal Slices from Clinical Cine CMR
in Statistical Atlases and Computational Models of the Heart. Multi-Disease, Multi-View, and Multi-Center Right Ventricular Segmentation in Cardiac MRI Challenge - 12th International Workshop, STACOM 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Revised Selected Papers
Grzech D
(2020)
Image Registration via Stochastic Gradient Markov Chain Monte Carlo
in 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
Sun P
(2018)
Methodology - A Review of Intelligent Manufacturing: Scope, Strategy and Simulation
in Recent Advances in Intelligent Manufacturing - First International Conference on Intelligent Manufacturing and Internet of Things and 5th International Conference on Computing for Sustainable Energy and Environment, IMIOT and ICSEE 2018, Chongqing, China, September 21-23, 2018, Proceedings, Part I
Irzan H
(2020)
Min-Cut Max-Flow for Network Abnormality Detection: Application to Preterm Birth
in 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
Agarwal D
(2018)
A CAD Based Framework for Optimizing Performance While Ensuring Assembly Fit
in Recent Advances in Intelligent Manufacturing - First International Conference on Intelligent Manufacturing and Internet of Things and 5th International Conference on Computing for Sustainable Energy and Environment, IMIOT and ICSEE 2018, Chongqing, China, September 21-23, 2018, Proceedings, Part I