Yihang Zhou
Orcid: 0000-0001-6354-1259
According to our database1,
Yihang Zhou
authored at least 37 papers
between 2012 and 2024.
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Bibliography
2024
IEEE Trans. Medical Imaging, October, 2024
Terahertz Empowered Vehicular Fog Computing: Opportunities, Feasibility, and Enhancements.
IEEE Wirel. Commun., August, 2024
Correction: From unsuccessful to successful learning: profiling behavior patterns and student clusters in massive open online courses.
Educ. Inf. Technol., May, 2024
From unsuccessful to successful learning: profiling behavior patterns and student clusters in Massive Open Online Courses.
Educ. Inf. Technol., April, 2024
CoRR, 2024
CoRR, 2024
MobileViT-FocR: MobileViT with Fixed-One-Centre Loss and Gradient Reversal for Generalised Fake Face Detection.
Proceedings of the MultiMedia Modeling - 30th International Conference, 2024
Pediatric TSC-Related Epilepsy Classification from Clinical Mr Images Using Quantum Neural Network.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Robust Cardiac T1 Mapping in Three Heartbeats With UltraMAP: A Synergistic CNN-FC Approach.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Int. J. Appl. Earth Obs. Geoinformation, April, 2023
Joint Diffusion: Mutual Consistency-Driven Diffusion Model for PET-MRI Co-Reconstruction.
CoRR, 2023
Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation.
CoRR, 2023
Synthesizing PET images from High-field and Ultra-high-field MR images Using Joint Diffusion Attention Model.
CoRR, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
Stay or Leave? Exploring Student Factors Associated with Dropout Patterns in Massive Open Online Courses.
Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2023
Developing a Dynamic Graph Network for Interpretable Analysis of Multi-Modal MRI Data in Parkinson's Disease Diagnosis.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Production Evaluation of Citrus Fruits based on the YOLOv5 compressed by Knowledge Distillation.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023
2022
Acquisition repeatability of MRI radiomics features in the head and neck: a dual-3D-sequence multi-scan study.
Vis. Comput. Ind. Biomed. Art, 2022
Accelerating MR Parameter Mapping Using Nonlinear Compressive Manifold Learning and Regularized Pre-Imaging.
IEEE Trans. Biomed. Eng., 2022
S2-PCM: Super-Resolution Structural Point Cloud Matching for High-Accuracy Video-SAR Image Registration.
Remote. Sens., 2022
Yield Evaluation of Citrus Fruits based on the YoloV5 compressed by Knowledge Distillation.
CoRR, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Joint reconstruction framework of compressed sensing and nonlinear parallel imaging for dynamic cardiac magnetic resonance imaging.
BMC Medical Imaging, 2021
2020
PV-MBLL algorithm for extraction of absolute tissue oxygenation information by diffuse optical spectroscopy.
Comput. Methods Programs Biomed., 2020
2019
EURASIP J. Adv. Signal Process., 2019
2018
Automating Regularized Sensitivity Encoding Reconstruction via Genetic Algorithm for MRI Robotics.
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2018
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2018
2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Accelerating MR parameter mapping using nonlinear manifold learning and supervised pre-imaging.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
Recovery of parametric manifold from reduced measurements: Application to magnetic resonance parameter mapping.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2013
A kernel-based compressed sensing approach to dynamic MRI from highly undersampled data.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Undersampled dynamic magnetic resonance imaging using patch-based spatiotemporal dictionaries.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
k-t CSPI: A dynamic MRI reconstruction framework for combining compressed sensing and parallel imaging.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012