Huiyong Zhu

Dr. Huiyong Zhu


Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2017 in Oral Oncology
Verified
Journal Article
Closed access
TBTingwei Bao
Tingwei Bao
JHJianfeng He
Jianfeng He
CYChangyang Yu
Changyang Yu
WZWenquan Zhao
Wenquan Zhao
YLYi Lin
Yi Lin
HZHuiyong Zhu
Huiyong Zhu

17 March 2022 in Journal of Zhejiang University-SCIENCE B
Verified
Journal Article
Closed access
PDF file
DYDan Yu
Dan Yu
XLXiaoyue Lei
Xiaoyue Lei
HZHuiyong Zhu
Huiyong Zhu
Polyetheretherketone (PEEK) has been widely applied in orthopedics because of its excellent mechanical properties, radiolucency, and biocompatibility. Howe

30 April 2025 in Journal of Zhejiang University-SCIENCE B
Verified
Journal Article
Closed access
PDF file
DYDan Yu
Dan Yu
WSWenyi Shen
Wenyi Shen
JDJiahui Dai
Jiahui Dai
HZHuiyong Zhu
Huiyong Zhu
Large bone defects in load-bearing bone can result from tumor resection, osteomyelitis, trauma, and other factors. Although bone has the intrinsic potentia

3 February 2022 in Scientific Reports
Verified
Journal Article
Open access
PDF file
DYDan Yu
Dan Yu
JHJiacong Hu
Jiacong Hu
ZFZunlei Feng
Zunlei Feng
MSMingli Song
Mingli Song
HZHuiyong Zhu
Huiyong Zhu
We aimed to develop an explainable and reliable method to diagnose cysts and tumors of the jaw with massive panoramic radiographs of healthy peoples based on deep learning, since collecting and labeling massive lesion samples are time-consuming, and existing deep learning-based methods lack explainability. Based on the collected 872 lesion samples and 10,000 healthy samples, a two-branch network was proposed for classifying the cysts and tumors of the jaw. The two-branch network is firstly pretrained on massive panoramic radiographs of healthy peoples, then is trained for classifying the sample categories and segmenting the lesion area. Totally, 200 healthy samples and 87 lesion samples were included in the testing stage. The average accuracy, precision, sensitivity, specificity, and F1 score of classification are 88.72%, 65.81%, 66.56%, 92.66%, and 66.14%, respectively. The average accuracy, precision, sensitivity, specificity, and F1 score of classification will reach 90.66%, 85.23%, 84.27%, 93.50%, and 84.74%, if only classifying the lesion samples and healthy samples. The proposed method showed encouraging performance in the diagnosis of cysts and tumors of the jaw. The classified categories and segmented lesion areas serve as the diagnostic basis for further diagnosis, which provides a reliable tool for diagnosing jaw tumors and cysts.

17 November 2020 in Journal of Zhejiang University-SCIENCE B
Verified
Journal Article
Closed access
PDF file
DYDan Yu
Dan Yu
JWJin Wang
Jin Wang
KQKe-Jia Qian
Ke-Jia Qian
JYJing Yu
Jing Yu
HZHuiyong Zhu
Huiyong Zhu
Nanofibers can mimic natural tissue structure by creating a more suitable environment for cells to grow, prompting a wide application of nanofiber material

1 January 2021 in International Journal of Medical Sciences
Verified
Journal Article
Open access
LBLing Bi
Ling Bi
DWDong Wei
Dong Wei
DHDongsheng Hong
Dongsheng Hong
JWJin Wang
Jin Wang
KQKejia Qian
Kejia Qian
HZHuiyong Zhu
Huiyong Zhu
Background: Ameloblastoma is an odontogenic tumor occurring in jaws, with local aggressiveness and postoperative recurrence. This study was aim to investigate the clinical and radiographic risk factors for recurrence in ameloblastoma.