Chenfei Ye
Orcid: 0000-0001-5265-3546
According to our database1,
Chenfei Ye
authored at least 25 papers
between 2014 and 2024.
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Bibliography
2024
Mapping Multi-Modal Brain Connectome for Brain Disorder Diagnosis via Cross-Modal Mutual Learning.
IEEE Trans. Medical Imaging, January, 2024
BrainMass: Advancing Brain Network Analysis for Diagnosis with Large-scale Self-Supervised Learning.
CoRR, 2024
2023
CReg-KD: Model refinement via confidence regularized knowledge distillation for brain imaging.
Medical Image Anal., October, 2023
A deep connectome learning network using graph convolution for connectome-disease association study.
Neural Networks, July, 2023
Incomplete learning of multi-modal connectome for brain disorder diagnosis via modal-mixup and deep supervision.
Proceedings of the Medical Imaging with Deep Learning, 2023
Accelerating Diffusion Models Via Pre-Segmentation Diffusion Sampling for Medical Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Joint Learning Annotator Calibration and Annotator Preference for Multiple Annotations Optic Disc and Cup Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Tensor-based Complex-valued Graph Neural Network for Dynamic Coupling Multimodal brain Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation.
CoRR, 2022
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Multi-modal Dynamic Graph Network: Coupling Structural and Functional Connectome for Disease Diagnosis and Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Modeling Annotator Variation and Annotator Preference for Multiple Annotations Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
An anatomical knowledge-based MRI deep learning pipeline for white matter hyperintensity quantification associated with cognitive impairment.
Comput. Medical Imaging Graph., 2021
2020
An Automatic Encoding and Decoding Method for Differentiating Alzheimer's Disease with Functional MRI.
Proceedings of the ICCAI '20: 2020 6th International Conference on Computing and Artificial Intelligence, 2020
Proceedings of the ICBBB 2020: 10th International Conference on Bioscience, 2020
Misfolded protein propagation in an integrated computational model of structural network and LRRK2 gene expression.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
A Novel Multimodal MRI Analysis for Alzheimer's Disease Based on Convolutional Neural Network.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2017
Proceedings of the 2017 IEEE EMBS International Conference on Biomedical & Health Informatics, 2017
2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
BOLD effect on calf muscle groups in elderly females with different bone mineral density.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014