Chencui Huang

发表

Adenosine monophosphate-activated protein kinase from the mud crab, Scylla paramamosain: cDNA cloning and profiles under cold stress

Chencui Huang, Kun Yu, Huiyang Huang, 2016, Journal of Genetics.

Profiles of calreticulin and Ca2+ concentration under low temperature and salinity stress in the mud crab, Scylla paramamosain

Chencui Huang, Huiyang Huang, Haihui Ye, 2019, PloS one.

The retinoid X receptor from mud crab: new insights into its roles in ovarian development and related signaling pathway

Chencui Huang, Huiyang Huang, Haihui Ye, 2016, Scientific Reports.

Development and Validation of a Nomogram for the Early Prediction of Iga Nephropathy in Primary Glomerulonephritis

Chencui Huang, Wei Liu, Lixia Cui, 2021 .

Different CT slice thickness and contrast‐enhancement phase in radiomics models on the differential performance of lung adenocarcinoma

Chencui Huang, Yang Wang, Fang Liu, 2022, Thoracic cancer.

Computed tomography-based radiomics nomogram model for predicting adherent perinephric fat

Zhaoqin Huang, Chencui Huang, Ximing Wang, 2022, Journal of cancer research and therapeutics.

A multicenter study on the preoperative prediction of gastric cancer microsatellite instability status based on computed tomography radiomics

Chencui Huang, Ying-Heng Liu, Dan-feng Yu, 2022, Abdominal Radiology.

Application of MR Imaging Features in Differentiation of Renal Changes in Patients With Stage III Type 2 Diabetic Nephropathy and Normal Subjects

Chencui Huang, Baoting Yu, X. Fan, 2022, Frontiers in Endocrinology.

Machine Learning Based Non-Enhanced CT Radiomics for the Identification of Orbital Cavernous Venous Malformations: An Innovative Tool

Chencui Huang, Qinghe Han, Q. Yuan, 2022, The Journal of craniofacial surgery.

An MSCT-based radiomics nomogram combined with clinical factors can identify Crohn’s disease and ulcerative colitis

Chencui Huang, Xiangshui Meng, Y. Mo, 2021, Annals of translational medicine.

Application of first-order feature analysis of DWI-ADC in rare malignant mesenchymal tumours of the maxillofacial region

Chencui Huang, Yuyao Guan, Jun Ding, 2021, BMC oral health.

Radiomics Features on Computed Tomography Combined With Clinical-Radiological Factors Predicting Progressive Hemorrhage of Cerebral Contusion

Chencui Huang, Ke Jin, Chuanming Li, 2022, Frontiers in Neurology.

A multi-stage ensemble network system to diagnose adolescent idiopathic scoliosis

Chencui Huang, Yizhou Yu, Haiyan Wang, 2022, European Radiology.

Radiomics for predicting revised hematoma expansion with the inclusion of intraventricular hemorrhage growth in patients with supratentorial spontaneous intraparenchymal hematomas

Chencui Huang, Kai Han, Xiangshui Meng, 2021, Annals of translational medicine.

Magnetic Resonance Imaging‐Based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two‐Center Study

Chencui Huang, D. Hao, Jihua Liu, 2020, Journal of magnetic resonance imaging : JMRI.

Identification of high-risk intracranial plaques with 3D high-resolution magnetic resonance imaging-based radiomics and machine learning

Chencui Huang, Xiaoqing Cheng, Zheng Dong, 2022, Journal of Neurology.

Development and external validation of a multiparametric MRI-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer: a retrospective multicenter study

Jing Zhang, Chencui Huang, Rui Zhang, 2022, European Radiology.

The effects of feeding ration and cheliped autotomy on the growth and expression of ecdysteroid receptor in early juvenile mud crabs, Scylla paramamosain

Chencui Huang, Kun Yu, Haihui Ye, 2022, Aquaculture Reports.

A Facile machine learning multi-classification model for Streptococcus agalactiae clonal complexes

Y. Liu, Jing Zhao, Chencui Huang, 2022, Annals of Clinical Microbiology and Antimicrobials.

Preoperative prediction of invasive behavior of pancreatic solid pseudopapillary neoplasm by MRI-based multiparametric radiomics models

Chencui Huang, Zhan Feng, Zeyong Sun, 2022, Abdominal Radiology.

Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study

Chencui Huang, Shunli Liu, D. Hao, 2021, European Radiology.

Distinguishing multiple primary lung cancers from intrapulmonary metastasis using CT-based radiomics.

Chencui Huang, Mu Zhou, Zhen Zhou, 2022, European journal of radiology.

Characterization of CCTα and evaluating its expression in the mud crab Scylla paramamosain when challenged by low temperatures alone and in combination with high and low salinity

Chencui Huang, Kun Yu, Huiyang Huang, 2015, Cell Stress and Chaperones.

A Pilot Study of Radiomic Based on Routine CT Reflecting Difference of Cerebral Hemispheric Perfusion

Chencui Huang, Qingjun Jiang, Xiangshui Meng, 2022, Frontiers in Neuroscience.

A Clinical Semantic and Radiomics Nomogram for Predicting Brain Invasion in WHO Grade II Meningioma Based on Tumor and Tumor-to-Brain Interface Features

Ji-Rong Wen, Xiaojun Xu, Minming Zhang, 2021, Frontiers in Oncology.

Integrative Nomogram of Computed Tomography Radiomics, Clinical, and Tumor Immune Features for Analysis of Disease-Free Survival of NSCLC Patients with Surgery

Chencui Huang, Kailiang Cheng, Yu Hu, 2023, Journal of oncology.

Development and assessment of deep learning system for the location and classification of rib fractures via computed tomography.

Chencui Huang, Jiong Cai, Lu L. Zhang, 2022, European journal of radiology.

CT Radiomics for the Preoperative Prediction of Ki67 Index in Gastrointestinal Stromal Tumors: A Multi-Center Study

Minhong Wang, Chencui Huang, Yilei Zhao, 2021, Frontiers in Oncology.

A CT-Based Radiomics Nomogram for Preoperative Prediction of Lymph Node Metastasis in Periampullary Carcinomas

Zhaoqin Huang, Xiangjiao Meng, Chencui Huang, 2021, Frontiers in Oncology.

Detection of Intracranial Aneurysms Using Multiphase CT Angiography with a Deep Learning Model.

Chencui Huang, Yizhou Yu, Jie Sun, 2023, Academic radiology.

Clinical Factors and Quantitative CT Parameters Associated With ICU Admission in Patients of COVID-19 Pneumonia: A Multicenter Study

Chencui Huang, Z. Fan, Qi Yang, 2021, Frontiers in Public Health.

An online alpha-thalassemia carrier discrimination model based on random forest and red blood cell parameters for low HbA2 cases.

Chencui Huang, Hongxu Xu, Min Liu, 2021, Clinica chimica acta; international journal of clinical chemistry.

A Deep-Learning Aided Diagnostic System in Assessing Developmental Dysplasia of the Hip on Pediatric Pelvic Radiographs

Chencui Huang, Liqi Shu, Jingxu Xu, 2022, Frontiers in Pediatrics.

An AI-based auxiliary empirical antibiotic therapy model for children with bacterial pneumonia using low-dose chest CT images

Xinfeng Liu, Rongpin Wang, Xianchun Zeng, 2021, Japanese Journal of Radiology.

Preoperative CT Radiomics Predicting the SSIGN Risk Groups in Patients With Clear Cell Renal Cell Carcinoma: Development and Multicenter Validation

Tijiang Zhang, Rongpin Wang, Xianchun Zeng, 2020, Frontiers in Oncology.

Pretherapy investigations using highly robust visualized biomarkers from CT imaging by multiple machine-learning techniques toward its prognosis prediction for ALK-inhibitor therapy in NSCLC: a feasibility study.

Chencui Huang, Z. Song, Wenxian Wang, 2023, Journal of cancer research and clinical oncology.

Computed Tomography-Based Radiomics Model to Preoperatively Predict Microsatellite Instability Status in Colorectal Cancer: A Multicenter Study

Minhong Wang, Chencui Huang, Zhan Feng, 2021, Frontiers in Oncology.

Characterization of CCTα and evaluating its expression in the mud crab Scylla paramamosain when challenged by low temperatures alone and in combination with high and low salinity

Chencui Huang, Kun Yu, Huiyang Huang, 2015, Cell Stress and Chaperones.

Difference of mean Hounsfield units (dHU) between follow-up and initial noncontrast CT scan predicts 90-day poor outcome in spontaneous supratentorial acute intracerebral hemorrhage with deep convolutional neural networks

Chencui Huang, Chao Wang, J. Cui, 2023, NeuroImage: Clinical.

Radiomics for predicting perineural invasion status in rectal cancer

Chencui Huang, B. Song, Mou Li, 2021, World journal of gastroenterology.

Distinguishing nontuberculous mycobacteria from Mycobacterium tuberculosis lung disease from CT images using a deep learning framework

Chencui Huang, Z. Ye, Z. Xing, 2021, European Journal of Nuclear Medicine and Molecular Imaging.

Machine Learning-based Analysis of Rectal Cancer MRI Radiomics for Prediction of Metachronous Liver Metastasis.

Meng Liang, Hongmei Zhang, Zhengting Cai, 2019, Academic radiology.

Computed tomography-based radiomics for predicting lymphovascular invasion in rectal cancer.

Chencui Huang, B. Song, Mou Li, 2021, European journal of radiology.

CT Radiomics Model for Discriminating the Risk Stratification of Gastrointestinal Stromal Tumors: A Multi-Class Classification and Multi-Center Study

Minhong Wang, Chencui Huang, Zhan Feng, 2021, Frontiers in Oncology.

Computed Tomography-Based Radiomics for Preoperative Prediction of Tumor Deposits in Rectal Cancer

Chencui Huang, B. Song, Si-Yun Liu, 2021, Frontiers in Oncology.

Are radiomic spleen features useful for assessing the differentiation status of advanced gastric cancer?

Jianbo Gao, Chencui Huang, P. Liang, 2023, Frontiers in Oncology.

Artificial Intelligence–Assisted Bone Age Assessment to Improve the Accuracy and Consistency of Physicians With Different Levels of Experience

Jie Tang, Chencui Huang, Lung-Chuang Wang, 2022, Frontiers in Pediatrics.

A MRI-based radiomics nomogram for evaluation of renal function in ADPKD

Zhaoqin Huang, Qingwei Liu, Chencui Huang, 2022, Abdominal Radiology.

A Computed Tomography-Based Radiomics Nomogram to Preoperatively Predict Tumor Necrosis in Patients With Clear Cell Renal Cell Carcinoma

Tijiang Zhang, Rongpin Wang, Xianchun Zeng, 2020, Frontiers in Oncology.

Radiomic Machine Learning and External Validation Based on 3.0 T mpMRI for Prediction of Intraductal Carcinoma of Prostate With Different Proportion

Chencui Huang, Zhengyan Li, Jin Yao, 2022, Frontiers in Oncology.

Different Appearance of Chest CT Images of T2DM and NDM Patients with COVID-19 Pneumonia Based on an Artificial Intelligent Quantitative Method

Chencui Huang, Juhong Yang, B. Chang, 2021, International journal of endocrinology.

Use of Radiomics to Improve Diagnostic Performance of PI-RADS v2.1 in Prostate Cancer

Ling Yang, Chencui Huang, Mou Li, 2021, Frontiers in Oncology.

Deep learning radio-clinical signatures for predicting neoadjuvant chemotherapy response and prognosis from pretreatment CT images of locally advanced gastric cancer patients

Chencui Huang, Li-tao Yang, Z. Ye, 2023, International journal of surgery.

Radiomics and Ki-67 index predict survival in clear cell renal cell carcinoma.

Zhaoqin Huang, Chencui Huang, Tong Zhang, 2023, The British journal of radiology.

Study on the prognosis predictive model of COVID-19 patients based on CT radiomics

Huijie Jiang, Chencui Huang, Song Wang, 2021, Scientific Reports.

Evaluation of the peritumoral features using radiomics and deep learning technology in non-spiculated and noncalcified masses of the breast on mammography

Chencui Huang, Li Jiang, Fei Guo, 2022, Frontiers in Oncology.

A combined postoperative nomogram for survival prediction in clear cell renal carcinoma

Zhaoqin Huang, Chencui Huang, Haiyu Zhan, 2021, Abdominal Radiology.

Development and validation of a CT-based radiomics model for differentiating pneumonia-like primary pulmonary lymphoma from infectious pneumonia: A multicenter study

Chencui Huang, N. Mao, P. Nie, 2023, Chinese medical journal.

An AI-based radiomics nomogram for disease prognosis in patients with COVID-19 pneumonia using initial CT images and clinical indicators

Jun Liu, Xinfeng Liu, Rongpin Wang, 2021, International Journal of Medical Informatics.

Intratumoral and peritumoral radiomics predict pathological response after neoadjuvant chemotherapy against advanced gastric cancer

Chencui Huang, Rui Wang, Xingzhi Chen, 2024, Insights into imaging.

Preoperative CT-based deep learning radiomics model to predict lymph node metastasis and patient prognosis in bladder cancer: a two-center study

Chencui Huang, Shifeng Yang, He-xiang Wang, 2024, Insights into imaging.

Automated detection and classification of acute vertebral body fractures using a convolutional neural network on computed tomography

Chencui Huang, Jingxu Xu, Hui-zong Yuan, 2023, Frontiers in Endocrinology.

Multi-institutional validation of a radiomics signature for identification of postoperative progression of soft tissue sarcoma

Chencui Huang, Lisha Duan, Shifeng Yang, 2024, Cancer imaging : the official publication of the International Cancer Imaging Society.