Deep Learning in Medical Ultrasound Image Analysis: A Review
2021 · IEEE Access · 122 citations
https://doi.org/10.1109/access.2021.3071301
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Shouliang Qi
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Shouliang Qi is an academic researcher from Guangxi University. The author has contributed to research in topics: Radiomics and Machine Learning in Medical Imaging & Lung Cancer Diagnosis and Treatment & COVID-19 diagnosis using AI. The author has an h-index of 36, co-authored 180 publications.
ORCID: 0000-0003-0977-1939Papers by this author
worksSegmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset
2019 · BioMedical Engineering OnLine · 110 citations
https://doi.org/10.1186/s12938-018-0619-9
Altered spontaneous neural activity in the precuneus, middle and superior frontal gyri, and hippocampus in college students with subclinical depression
2021 · BMC Psychiatry · 77 citations
https://doi.org/10.1186/s12888-021-03292-1
CDCA5 overexpression is an Indicator of poor prognosis in patients with hepatocellular carcinoma (HCC)
2018 · BMC Cancer · 64 citations
https://doi.org/10.1186/s12885-018-5072-4
Computational fluid dynamics simulation of airflow in the trachea and main bronchi for the subjects with left pulmonary artery sling
2014 · BioMedical Engineering OnLine · 54 citations
https://doi.org/10.1186/1475-925x-13-85
Discriminating subclinical depression from major depression using multi-scale brain functional features: A radiomics analysis
2021 · Journal of Affective Disorders · 47 citations
https://doi.org/10.1016/j.jad.2021.10.122
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