A novel 3D-printed head phantom with anatomically realistic geometry and continuously varying skull resistivity distribution for electrical impedance tomography
2017 · Scientific Reports · 45 citations
https://doi.org/10.1038/s41598-017-05006-8
H
Haoting Li
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35
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363
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12
h-index
15
i10-index
Haoting Li is an academic researcher from National Chung Cheng University. The author has contributed to research in topics: Electrical and Bioimpedance Tomography & Flow Measurement and Analysis & Microfluidic and Bio-sensing Technologies. The author has an h-index of 12, co-authored 30 publications.
ORCID: 0000-0002-0496-6705Papers by this author
worksA co-assembly platform engaging macrophage scavenger receptor A for lysosome-targeting protein degradation
2024 · Nature Communications · 42 citations
https://doi.org/10.1038/s41467-024-46130-0
Layer-Level Knowledge Distillation for Deep Neural Network Learning
2019 · Applied Sciences · 28 citations
https://doi.org/10.3390/app9101966
A novel time-difference electrical impedance tomography algorithm using multi-frequency information
2019 · BioMedical Engineering OnLine · 24 citations
https://doi.org/10.1186/s12938-019-0703-9
An on-line processing strategy for head movement interferences removal of dynamic brain electrical impedance tomography based on wavelet decomposition
2019 · BioMedical Engineering OnLine · 11 citations
https://doi.org/10.1186/s12938-019-0668-8
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