Fumin Guo
Orcid: 0000-0001-6220-1455
According to our database1,
Fumin Guo
authored at least 31 papers
between 2014 and 2024.
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Bibliography
2024
MRI Accurately Visualizes RF Ablation Delivery Targeted to MRI-Defined Arrhythmia Substrates in the Left Ventricle.
IEEE Trans. Biomed. Eng., September, 2024
IEEE Trans. Medical Imaging, May, 2024
Enhanced Self-supervised Learning for Multi-modality MRI Segmentation and Classification: A Novel Approach Avoiding Model Collapse.
CoRR, 2024
2023
Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study.
IEEE Trans. Biomed. Eng., June, 2023
Isokinetic Rehabilitation Trajectory Planning of an Upper Extremity Exoskeleton Rehabilitation Robot Based on a Multistrategy Improved Whale Optimization Algorithm.
Symmetry, 2023
2022
Cardiac MRI segmentation with sparse annotations: Ensembling deep learning uncertainty and shape priors.
Medical Image Anal., 2022
2021
IEEE J. Biomed. Health Informatics, 2021
Left Ventricle Quantification Challenge: A Comprehensive Comparison and Evaluation of Segmentation and Regression for Mid-Ventricular Short-Axis Cardiac MR Data.
IEEE J. Biomed. Health Informatics, 2021
Ultra-short echo-time magnetic resonance imaging lung segmentation with under-Annotations and domain shift.
Medical Image Anal., 2021
Cardiac MRI Left Ventricular Segmentation and Function Quantification Using Pre-trained Neural Networks.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021
2020
A Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images.
IEEE Trans. Medical Imaging, 2020
Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach.
Medical Image Anal., 2020
Cardiac cine MRI left ventricle segmentation combining deep learning and graphical models.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
2019
Transfer Learning Based on Regularized Common Spatial Patterns Using Cosine Similarities of Spatial Filters for Motor-Imagery BCI.
J. Circuits Syst. Comput., 2019
Improved Transductive Support Vector Machine for a Small Labelled Set in Motor Imagery-Based Brain-Computer Interface.
Comput. Intell. Neurosci., 2019
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Pipeline to Build and Test Robust 3D T1 Mapping-Based Heart Models for EP Interventions: Preliminary Results.
Proceedings of the Functional Imaging and Modeling of the Heart, 2019
2018
Modified multi-innovation stochastic gradient algorithm for Wiener-Hammerstein systems with backlash.
J. Frankl. Inst., 2018
Direct Arrhythmia Classification from Compressive ECG Signals in Wearable Health Monitoring System.
J. Circuits Syst. Comput., 2018
Cardiac MRI Left Ventricle Segmentation and Quantification: A Framework Combining U-Net and Continuous Max-Flow.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
Cine and Multicontrast Late Enhanced MRI Registration for 3D Heart Model Construction.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges, 2018
2017
Int. J. Control, 2017
Fault Detection for Singular Discrete-Time Linear Systems with Signal-to-Noise Ratio Constrained Channels.
Circuits Syst. Signal Process., 2017
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
2016
Fault detection for discrete-time Lipschitz nonlinear systems with signal-to-noise ratio constrained channels.
Neurocomputing, 2016
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2016
Proceedings of the 2016 American Control Conference, 2016
2015
Globally optimal co-segmentation of three-dimensional pulmonary <sup>1</sup>H and hyperpolarized <sup>3</sup>He MRI with spatial consistence prior.
Medical Image Anal., 2015
Robust fault detection for uncertain discrete-time systems subject to signal-to-noise ratio constrained channels.
J. Frankl. Inst., 2015
Automated pulmonary lobar ventilation measurements using volume-matched thoracic CT and MRI.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014