Fuhua Yan
Orcid: 0000-0002-5910-1506
According to our database1,
Fuhua Yan
authored at least 21 papers
between 2017 and 2023.
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Bibliography
2023
MR Elastography With Optimization-Based Phase Unwrapping and Traveling Wave Expansion-Based Neural Network (TWENN).
IEEE Trans. Medical Imaging, September, 2023
IEEE Trans. Neural Networks Learn. Syst., August, 2023
NeuroImage, April, 2023
Diagnosing Parkinson's disease by combining neuromelanin and iron imaging features using an automated midbrain template approach.
NeuroImage, 2023
Proceedings of the 6th International Conference on Big Data Technologies, 2023
2022
Three-dimensional affinity learning based multi-branch ensemble network for breast tumor segmentation in MRI.
Pattern Recognit., 2022
Subthalamic and pallidal stimulation in Parkinson's disease induce distinct brain topological reconstruction.
NeuroImage, 2022
2021
Imaging iron and neuromelanin simultaneously using a single 3D gradient echo magnetization transfer sequence: Combining neuromelanin, iron and the nigrosome-1 sign as complementary imaging biomarkers in early stage Parkinson's disease.
NeuroImage, 2021
Medical Image Anal., 2021
Computing infection distributions and longitudinal evolution patterns in lung CT images.
BMC Medical Imaging, 2021
2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia.
IEEE Trans. Medical Imaging, 2020
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning.
IEEE Trans. Medical Imaging, 2020
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT.
IEEE J. Biomed. Health Informatics, 2020
Optimizing neuromelanin contrast in the substantia nigra and locus coeruleus using a magnetization transfer contrast prepared 3D gradient recalled echo sequence.
NeuroImage, 2020
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT.
CoRR, 2020
Joint Appearance-Feature Domain Adaptation: Application to QSM Segmentation Transfer.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
2019
Learning-based single-step quantitative susceptibility mapping reconstruction without brain extraction.
NeuroImage, 2019
The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Longitudinal atlas for normative human brain development and aging over the lifespan using quantitative susceptibility mapping.
NeuroImage, 2018
2017