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Chencui Huang

Union Hospital ·
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Area of research
Radiology, Nuclear Medicine and Imaging · Pulmonary and Respiratory Medicine
Research interest
Research interests include Medicine, Radiomics, Nomogram, Radiology, Magnetic resonance imaging, and Soft tissue.
h-index
citations
362
works
17
NIH funding
primary concept
email

Recent publications

Radiomics and machine learning for osteoporosis detection using abdominal computed tomography: a retrospective multicenter study
BMC Medical Imaging 2025cited by 9position: middledoi
Preoperative MRI-based radiomics analysis of intra- and peritumoral regions for predicting CD3 expression in early cervical cancer
Scientific Reports 2025cited by 2position: middledoi
Development and validation of predictive models for myopia onset and progression using extensive 15-year refractive data in children and adolescents
Journal of Translational Medicine 2024cited by 26position: middledoi
Multiparametric MRI-Based Interpretable Radiomics Machine Learning Model Differentiates Medulloblastoma and Ependymoma in Children: A Two-Center Study
Academic Radiology 2024cited by 19position: middledoi
Parallel <scp>CNN</scp>‐Deep Learning Clinical‐Imaging Signature for Assessing Pathologic Grade and Prognosis of Soft Tissue Sarcoma Patients
Journal of Magnetic Resonance Imaging 2024cited by 12position: middledoi
Prediction of soft tissue sarcoma grading using intratumoral habitats and a peritumoral radiomics nomogram: a multi-center preliminary study
Frontiers in Oncology 2024cited by 6position: middledoi
Multi-institutional validation of a radiomics signature for identification of postoperative progression of soft tissue sarcoma
Cancer Imaging 2024cited by 3position: middledoi
Prediction of Bone Mineral Density based on Computer Tomography Images Using Deep Learning Model
Gerontology 2024cited by 3position: middledoi
Deep Learning Radiomics Nomogram to Predict Lung Metastasis in Soft-Tissue Sarcoma: A Multi-Center Study
Frontiers in Oncology 2022cited by 37position: middledoi
Development and assessment of deep learning system for the location and classification of rib fractures via computed tomography
European Journal of Radiology 2022cited by 21position: middledoi
The effects of feeding ration and cheliped autotomy on the growth and expression of ecdysteroid receptor in early juvenile mud crabs, Scylla paramamosain
Aquaculture Reports 2022cited by 10position: middledoi
Evaluation of the peritumoral features using radiomics and deep learning technology in non-spiculated and noncalcified masses of the breast on mammography
Frontiers in Oncology 2022cited by 7position: middledoi
Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study
European Radiology 2021cited by 70position: middledoi
Magnetic Resonance Imaging‐Based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two‐Center Study
Journal of Magnetic Resonance Imaging 2021cited by 58position: middledoi
Study on the prognosis predictive model of COVID-19 patients based on CT radiomics
Scientific Reports 2021cited by 27position: middledoi
Clinical Factors and Quantitative CT Parameters Associated With ICU Admission in Patients of COVID-19 Pneumonia: A Multicenter Study
Frontiers in Public Health 2021cited by 3position: middledoi
Magnetic Resonance Imaging-based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two-center Study
Research Square 2020cited by 4position: middledoi
The retinoid X receptor from mud crab: new insights into its roles in ovarian development and related signaling pathway
Scientific Reports 2016cited by 47position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Lisha Duan · Hebei Medical University6 papers (2020–2024)Feng Hou · Shandong University6 papers (2020–2024) · 5 papers (2021–2024)Hexiang Wang · Huazhong Agricultural University3 papers (2021–2024)Tengbo Yu · Qingdao University3 papers (2020–2021)Dapeng Hao · Jiangsu University3 papers (2021–2022) · 3 papers (2024–2024)Shaojing Li · Qingdao Agricultural University2 papers (2016–2022) · 2 papers (2020–2021) · 2 papers (2024–2024)Jie Gong · South China Agricultural University2 papers (2016–2022)Xingzhi Chen · Xinjiang University2 papers (2024–2025)Jie Li · Hebei Medical University2 papers (2020–2021)Jihua Liu · Shandong University2 papers (2020–2021)Yiqiao Wang · Jilin University2 papers (2021–2021)Shunli Liu · Southwest University2 papers (2021–2022)Haihui Ye · Xiamen University2 papers (2016–2022)Shifeng Yang · Harbin Medical University2 papers (2021–2022)Chaoshu Zeng · Xiamen University2 papers (2016–2022) · 1 papers (2025–2025)
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