Jinchao Feng
Orcid: 0000-0001-5603-8874
According to our database1,
Jinchao Feng
authored at least 32 papers
between 2009 and 2025.
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Bibliography
2025
FedGraphMRI-net: A federated graph neural network framework for robust MRI reconstruction across non-IID data.
Biomed. Signal Process. Control., 2025
2024
Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps.
CoRR, 2024
CoRR, 2024
ADLER-MRI: Adaptive Deep Learning for Enhanced MRI Reconstruction with Noise-Resilient Models.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Global spatio-temporal synergistic topology learning for skeleton-based action recognition.
Pattern Recognit., August, 2023
Math. Comput., 2023
Data-Driven Model Selections of Second-Order Particle Dynamics via Integrating Gaussian Processes with Low-Dimensional Interacting Structures.
CoRR, 2023
Intelligent Breast Cancer Diagnosis with Heuristic-assisted Trans-Res-U-Net and Multiscale DenseNet using Mammogram Images.
CoRR, 2023
2022
SIAM/ASA J. Uncertain. Quantification, 2022
CoRR, 2022
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022
Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition, 2022
Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition, 2022
2021
CoRR, 2021
2020
Correction to: Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis.
BMC Medical Informatics Decis. Mak., 2020
2019
Identification of the Best Hyperspectral Indices in Estimating Plant Species Richness in Sandy Grasslands.
Remote. Sens., 2019
2018
Direct Regularization From Co-Registered Contrast MRI Improves Image Quality of MRI-Guided Near-Infrared Spectral Tomography of Breast Lesions.
IEEE Trans. Medical Imaging, 2018
A Lung Disease Classification Based on Feature Fusion Convolutional Neural Network with X-ray Image Enhancement.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018
2016
A novel reconstruction algorithm for bioluminescent tomography based on Bayesian compressive sensing.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016
Proceedings of the Intelligent Data Analysis and Applications, 2016
2014
Investigation of an adaptive regularization parameter selection methodin bioluminescence tomography.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
A Water Environment Security Monitoring Algorithm Based on Intelligent Video Surveillance.
Proceedings of the 2014 Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2014
2013
Improved Reconstruction Quality of Bioluminescent Images by Combining SP<sub>3</sub> Equations and Bregman Iteration Method.
Comput. Math. Methods Medicine, 2013
Critical protein detection in dynamic PPI networks with multi-source integrated deep belief nets.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
2012
Comput. Math. Methods Medicine, 2012
2011
Total variation regularization for bioluminescence tomography with an adaptive parameter choice approach.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Sparsity-Promoting Tomographic Fluorescence Imaging With Simplified Spherical Harmonics Approximation.
IEEE Trans. Biomed. Eng., 2010
Spectrally resolved bioluminescence tomography with Huber-Markov random-field regularization.
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology, 2010
2009
Int. J. Biomed. Imaging, 2009
Proceedings of the International Conference on Image Processing, 2009