Y. Ge

发表

Automated detection of cardiovascular disease by electrocardiogram signal analysis: a deep learning system.

Ying Chen, Xin Zhang, Kai Gu, 2020, Cardiovascular diagnosis and therapy.

Whole-Lesion Apparent Diffusion Coefficient-Based Entropy-Related Parameters for Characterizing Cervical Cancers: Initial Findings.

Ying Chen, Jian He, Yue Guan, 2016, Academic radiology.

Whole-lesion ADC histogram and texture analysis in predicting recurrence of cervical cancer treated with CCRT

Song Liu, Zhengyang Zhou, Y. Ge, 2017, Oncotarget.

Application of CT texture analysis in predicting histopathological characteristics of gastric cancers

Jian He, Yue Guan, Zhengyang Zhou, 2017, European Radiology.

Predicting the nodal status in gastric cancers: The role of apparent diffusion coefficient histogram characteristic analysis.

Jian He, Yue Guan, Zhengyang Zhou, 2017, Magnetic Resonance Imaging.

Whole-lesion apparent diffusion coefficient histogram analysis: significance in T and N staging of gastric cancers

Jian He, Yue Guan, Zhengyang Zhou, 2017, BMC Cancer.

Classification for Memory Activities: Experiments and EEG Analysis Based on Networks Constructed via Phase-Locking Value

Ying Chen, Y. Ge, Bin-Bin Ge, 2022, Computational and mathematical methods in medicine.

A predictive model for respiratory distress in patients with COVID-19: a retrospective study

Ying Chen, Xin Zhang, Shumei Miao, 2020, Annals of translational medicine.

Whole-lesion histogram analysis of apparent diffusion coefficient for distinguishing cervical cancers with different differentiation

Yue Cao, Y. Ge, Jian He, 2016, 2016 IEEE 10th International Conference on Nano/Molecular Medicine and Engineering (NANOMED).

Diagnostic Application and Systematic Evaluation of Image Registration Software in External Radiotherapy

Y. Ge, Ze-tian Shen, A. Li, 2022, J. Medical Imaging Health Informatics.

Comparison of Evaluation Metrics of Deep Learning for Imbalanced Imaging Data in Osteoarthritis Studies

L. Sharma, E. Bedrick, M. Nevitt, 2022, medRxiv.

Differentiating gastric cancer and gastric lymphoma using texture analysis (TA) of positron emission tomography (PET)

Song Liu, C. Ji, Zhengyang Zhou, 2020, Chinese medical journal.

Apparent diffusion coefficient histogram shape analysis for monitoring early response in patients with advanced cervical cancers undergoing concurrent chemo-radiotherapy

Song Liu, Zhengyang Zhou, Y. Ge, 2016, Radiation oncology.

Preoperative CT texture analysis of gastric cancer: correlations with postoperative TNM staging.

C. Ji, Y. Ge, W. Guan, 2018, Clinical radiology.

Assessment of histological differentiation in gastric cancers using whole‐volume histogram analysis of apparent diffusion coefficient maps

Song Liu, C. Ji, Hua Shi, 2017, Journal of magnetic resonance imaging : JMRI.

Value of whole-lesion apparent diffusion coefficient (ADC) first-order statistics and texture features in clinical staging of cervical cancers.

J. Zhang, Y. Ge, Y. Guan, 2017, Clinical radiology.

Histogram analysis of apparent diffusion coefficient for monitoring early response in patients with advanced cervical cancers undergoing concurrent chemo-radiotherapy

Zhengyang Zhou, Y. Ge, Xiaofeng Yang, 2017, Acta radiologica.

Augmentation of CBCT Reconstructed From Under-Sampled Projections Using Deep Learning

Fang-Fang Yin, Yun Ge, Zhuoran Jiang, 2019, IEEE Transactions on Medical Imaging.

Prior image-guided cone-beam computed tomography augmentation from under-sampled projections using a convolutional neural network.

Fang-Fang Yin, Yushi Chang, Zhuoran Jiang, 2021, Quantitative imaging in medicine and surgery.

Texture analysis of CT images in predicting malignancy risk of gastrointestinal stromal tumours.

Y. Ge, H. Wang, W. Guan, 2017, Clinical radiology.

CT textural analysis of gastric cancer: correlations with immunohistochemical biomarkers

Song Liu, C. Ji, Hua Shi, 2018, Scientific Reports.

Texture analysis of CT imaging for assessment of esophageal squamous cancer aggressiveness.

Song Liu, Zhengyang Zhou, Y. Ge, 2017, Journal of thoracic disease.

A deep learning based automatic segmentation approach for anatomical structures in intensity modulation radiotherapy.

Xixu Zhu, Han Zhou, Yun Ge, 2021, Mathematical biosciences and engineering : MBE.

Whole-Lesion Histogram Analysis of Apparent Diffusion Coefficient for the Assessment of Cervical Cancer

Song Liu, Hua Shi, Zhengyang Zhou, 2016, Journal of computer assisted tomography.

Enhancing digital tomosynthesis (DTS) for lung radiotherapy guidance using patient-specific deep learning model

Fang-Fang Yin, Yun Ge, Zhuoran Jiang, 2020, Physics in medicine and biology.

Whole-lesion apparent diffusion coefficient histogram analysis: significance in T and N staging of gastric cancers

Song Liu, Zhengyang Zhou, Y. Ge, 2017, BMC Cancer.

Whole‐volume apparent diffusion coefficient‐based entropy parameters for assessment of gastric cancer aggressiveness

Yue Guan, Zhengyang Zhou, Jian He, 2018, Journal of magnetic resonance imaging : JMRI.

A multi-scale framework with unsupervised joint training of convolutional neural networks for pulmonary deformable image registration

Fang-Fang Yin, Yun Ge, Lei Ren, 2019, Physics in medicine and biology.

CT textural analysis of gastric cancer: correlations with immunohistochemical biomarkers

Lei Tang, Jian He, Yue Guan, 2018, Scientific Reports.

Whole-lesion Apparent Diffusion Coefficient First- and Second-Order Texture Features for the Characterization of Rectal Cancer Pathological Factors

Song Liu, Zhengyang Zhou, Y. Ge, 2018, Journal of computer assisted tomography.