Hongjian He
Orcid: 0000-0001-6272-0810
According to our database1,
Hongjian He
authored at least 22 papers
between 2007 and 2024.
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Bibliography
2024
MSFF-MA-DDI: Multi-Source Feature Fusion with Multiple Attention blocks for predicting Drug-Drug Interaction events.
Comput. Biol. Chem., February, 2024
Remote Sensing Retrieval of Cloud Top Height Using Neural Networks and Data from Cloud-Aerosol Lidar with Orthogonal Polarization.
Sensors, January, 2024
2023
Reconstruction of Quantitative Susceptibility Mapping From Total Field Maps With Local Field Maps Guided UU-Net.
IEEE J. Biomed. Health Informatics, April, 2023
2022
Small molecule drug and biotech drug interaction prediction based on multi-modal representation learning.
BMC Bioinform., December, 2022
MOdel-Based SyntheTic Data-Driven Learning (MOST-DL): Application in Single-Shot T<sub>2</sub> Mapping With Severe Head Motion Using Overlapping-Echo Acquisition.
IEEE Trans. Medical Imaging, 2022
S2Q-Net: Mining the High-Pass Filtered Phase Data in Susceptibility Weighted Imaging for Quantitative Susceptibility Mapping.
IEEE J. Biomed. Health Informatics, 2022
A deep learning-based multisite neuroimage harmonization framework established with a traveling-subject dataset.
NeuroImage, 2022
Single-shot multi-parametric mapping based on multiple overlapping-echo detachment (MOLED) imaging.
NeuroImage, 2022
Preoperative CT and Intraoperative CBCT Image Registration and Evaluation in Robotic Cochlear Implant Surgery.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
STE-COVIDNet: A Multi-channel Model with Attention Mechanism for Time Series Prediction of COVID-19 Infection.
Proceedings of the Intelligent Computing Theories and Application, 2022
2021
Multi-Material Decomposition for Single Energy CT Using Material Sparsity Constraint.
IEEE Trans. Medical Imaging, 2021
Meta-Learning Based Interactively Connected Clique U-Net for Quantitative Susceptibility Mapping.
IEEE Trans. Computational Imaging, 2021
Convolutional neural network optimizes the application of diffusion kurtosis imaging in Parkinson's disease.
Brain Informatics, 2021
A Deep Learning Approach Based on Feature Reconstruction and Multi-dimensional Attention Mechanism for Drug-Drug Interaction Prediction.
Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021
Reconstruction Of Quantitative Susceptibility Maps From Phase Of Susceptibility Weighted Imaging With Cross-Connected Ψ-Net.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Evaluation of the diffusion MRI white matter tract integrity model using myelin histology and Monte-Carlo simulations.
NeuroImage, 2020
MTE-NODDI: Multi-TE NODDI for disentangling non-T2-weighted signal fractions from compartment-specific T2 relaxation times.
NeuroImage, 2020
2019
Fast and Robust Diffusion Kurtosis Parametric Mapping Using a Three-Dimensional Convolutional Neural Network.
IEEE Access, 2019
2018
Squeezed Trajectory Design for Peak RF and Integrated RF Power Reduction in Parallel Transmission MRI.
IEEE Trans. Medical Imaging, 2018
2012
NeuroImage, 2012
2007
Characterization of Dysfunction in Left and Right Temporal Lobes of Anxiety Patients: Using Spatiotemporal Lyapunov Exponent.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007