Wei-Chung Lee

Orcid: 0000-0002-4618-295X

Affiliations:
  • Harvard Medical School, Department of Neurobiology, Boston, MA, USA
  • F.M. Kirby Neurobiology Center, Boston Children's Hospital, Boston, MA, USA


According to our database1, Wei-Chung Lee authored at least 10 papers between 2017 and 2024.

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Bibliography

2024
ECG-based Features Estimation for Monitoring Blood Glucose Level of Human.
Proceedings of the 8th International Conference on Biomedical Engineering and Applications, 2024

Automated Sleep Apnea Detection based on XGBoost Model using Single-Lead ECG and Respiratory Signal.
Proceedings of the 8th International Conference on Biomedical Engineering and Applications, 2024

2023
The XPRESS Challenge: Xray Projectomic Reconstruction - Extracting Segmentation with Skeletons.
CoRR, 2023

Unpaired Image Enhancement for Neurite Segmentation in x-ray Tomography.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

X-Ray2EM: Uncertainty-Aware Cross-Modality Image Reconstruction from X-Ray to Electron Microscopy in Connectomics.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Estimation of Blood Glucose Level of Human by Measuring Key Parameters in Electrocardiogram.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

2019
Weakly Supervised Learning in Deformable EM Image Registration Using Slice Interpolation.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Removing Imaging Artifacts in Electron Microscopy using an Asymmetrically Cyclic Adversarial Network without Paired Training Data.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2017
Whole-brain serial-section electron microscopy in larval zebrafish.
Nat., 2017

ssEMnet: Serial-Section Electron Microscopy Image Registration Using a Spatial Transformer Network with Learned Features.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017


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