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Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study.

, , , , , , и . IEEE Trans. Biomed. Eng., 70 (6): 1955-1966 (июня 2023)

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Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study., , , , , , и . IEEE Trans. Biomed. Eng., 70 (6): 1955-1966 (июня 2023)Cardiac MRI Left Ventricular Segmentation and Function Quantification Using Pre-trained Neural Networks., , , и . FIMH, том 12738 из Lecture Notes in Computer Science, стр. 46-54. Springer, (2021)Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach., , , , , , и . Medical Image Anal., (2020)A Robust High-Strength Multi-Surface Rapid UV-Curable Payload Installation System for Generic Multirotors via Impact Delivery., , , , и . IEEE Robotics Autom. Lett., 9 (10): 8499-8506 (октября 2024)Aggregation Functions for Simultaneous Attitude and Image Estimation With Event Cameras at High Angular Rates., , , и . IEEE Robotics Autom. Lett., 7 (2): 4384-4391 (2022)Novel Imaging Biomarkers to Evaluate Heart Dysfunction Post-chemotherapy: A Preclinical MRI Feasibility Study., , , , , , , и . STACOM@MICCAI, том 13131 из Lecture Notes in Computer Science, стр. 29-37. Springer, (2021)Visually Compensating Eccentric In-plane Rotations for Image Stabilization on a Rotating Platform., , , и . AIM, стр. 329-334. IEEE, (2020)Nonlinear Distortion Calibration of an Optical Flow Sensor for Monocular Visual Odometry., и . AIM, стр. 1202-1207. IEEE, (2018)Cardiac MRI Left Ventricle Segmentation and Quantification: A Framework Combining U-Net and Continuous Max-Flow., , и . STACOM@MICCAI, том 11395 из Lecture Notes in Computer Science, стр. 450-458. Springer, (2018)Pipeline to Build and Test Robust 3D T1 Mapping-Based Heart Models for EP Interventions: Preliminary Results., , , , , , , , , и . FIMH, том 11504 из Lecture Notes in Computer Science, стр. 64-72. Springer, (2019)