Yihuan Lu

Orcid: 0000-0002-1855-5288

According to our database1, Yihuan Lu authored at least 12 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Fast Reconstruction for Deep Learning PET Head Motion Correction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Cross-Attention for Improved Motion Correction in Brain PET.
Proceedings of the Machine Learning in Clinical Neuroimaging - 6th International Workshop, 2023

Multi-Task Deep Learning and Uncertainty Estimation for Pet Head Motion Correction.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Fast-MC-PET: A Novel Deep Learning-Aided Motion Correction and Reconstruction Framework for Accelerated PET.
Proceedings of the Information Processing in Medical Imaging, 2023

2022
An objective evaluation method for head motion estimation in PET - Motion corrected centroid-of-distribution.
NeuroImage, 2022

Adaptive data-driven motion detection and optimized correction for brain PET.
NeuroImage, 2022

Supervised Deep Learning for Head Motion Correction in PET.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning.
IEEE Trans. Medical Imaging, 2021

Partial volume correction analysis for <sup>11</sup>C-UCB-J PET studies of Alzheimer's disease.
NeuroImage, 2021

2020
Direct List Mode Parametric Reconstruction for Dynamic Cardiac SPECT.
IEEE Trans. Medical Imaging, 2020

2019
A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation Using Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2016
Dependence of Contrast-Enhanced Lesion Detection in Contrast-Enhanced Digital Breast Tomosynthesis on Imaging Chain Design.
Proceedings of the Breast Imaging, 2016


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