Guangyi Wang

发表

Malignancy characterization of hepatocellular carcinomas based on texture analysis of contrast‐enhanced MR images

C. Liang, Zaiyi Liu, Wu Zhou, 2017, Journal of magnetic resonance imaging : JMRI.

Prediction of Microvascular Invasion of Hepatocellular Carcinoma Based on Preoperative Diffusion-Weighted MR Using Deep Learning.

C. Liang, Zaiyi Liu, Lijuan Zhang, 2020, Academic radiology.

Reproducibility and Discriminability of Brain Patterns of Semantic Categories Enhanced by Congruent Audiovisual Stimuli

Yuanqing Li, Zheng Li, C. Liang, 2011, PloS one.

Liver diffusion-weighted MR imaging: reproducibility comparison of ADC measurements obtained with multiple breath-hold, free-breathing, respiratory-triggered, and navigator-triggered techniques.

Yanqi Huang, Xin Chen, Lifen Yan, 2014, Radiology.

Can intravoxel incoherent motion diffusion‐weighted imaging characterize the cellular injury and microcirculation alteration in hepatic ischemia‐reperfusion injury? An animal study

C. Liang, Zaiyi Liu, Shuting Chen, 2016, Journal of magnetic resonance imaging : JMRI.

Pretreatment MR imaging radiomics signatures for response prediction to induction chemotherapy in patients with nasopharyngeal carcinoma.

Zaiyi Liu, Guangyi Wang, Changhong Liang, 2018, European journal of radiology.

Chinese expert consensus on conversion therapy for hepatocellular carcinoma (2021 edition) Liver Cancer Conversion Therapy, Committee of Liver Cancer of the Chinese Anti-Cancer Association

Xia Li, T. Liang, X. Bai, 2022 .

Adaptive Multimodal Fusion With Attention Guided Deep Supervision Net for Grading Hepatocellular Carcinoma

Lijuan Zhang, Guangyi Wang, Wu Zhou, 2022, IEEE Journal of Biomedical and Health Informatics.

Development and validation of a preoperative CT-based radiomic nomogram to predict pathology invasiveness in patients with a solitary pulmonary nodule: a machine learning approach, multicenter, diagnostic study

Haiyu Zhou, W. Cho, Guangyi Wang, 2021, European Radiology.

Automated assessment of necrosis tumor ratio in colorectal cancer using an artificial intelligence‐based digital pathology analysis

C. Liang, Zaiyi Liu, Guangyi Wang, 2023, Medicine Advances.

Discrepancy Steered Conditional Adversarial Network For Deep Feature Based Malignancy Characterization of Hepatocellular Carcinoma

Lin Gu, Guangyi Wang, Shaoyang Men, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Grading of hepatocellular carcinoma based on diffusion weighted images with multiple b-values using convolutional neural networks.

Wu Zhou, Guoxi Xie, Guangyi Wang, 2019, Medical physics.

Improving the malignancy characterization of hepatocellular carcinoma using deeply supervised cross modal transfer learning for non-enhanced MR

Lin Gu, Manman Cui, Hanqiu Ju, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Preoperative CT-based peritumoral and tumoral radiomic features prediction for tumor spread through air spaces in clinical stage I lung adenocarcinoma.

Haiyu Zhou, Guangyi Wang, Su Yao, 2021, Lung cancer.

Angiomyolipoma with minimal fat: differentiation from clear cell renal cell carcinoma and papillary renal cell carcinoma by texture analysis on CT images.

Lifen Yan, Zaiyi Liu, Guangyi Wang, 2015, Academic radiology.

Prediction of Microvascular Invasion of Hepatocellular Carcinoma Based on Contrast-Enhanced MR and 3D Convolutional Neural Networks

C. Liang, Zaiyi Liu, Lijuan Zhang, 2021, Frontiers in Oncology.

Similarity Steered Generative Adversarial Network and Adaptive Transfer Learning for Malignancy Characterization of Hepatocellualr Carcinoma

Guangyi Wang, Hanqiu Ju, Wanwei Jian, 2019, MICCAI.

Super-Resolution and Self-Attention with Generative Adversarial Network for Improving Malignancy Characterization of Hepatocellular Carcinoma

Hui Huang, Wu Zhou, Guangyi Wang, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

DLNLF-net: Denoised local and non-local deep features fusion network for malignancy characterization of hepatocellular carcinoma

Lijuan Zhang, Guangyi Wang, Wu Zhou, 2022, Comput. Methods Programs Biomed..

A Computer-aided radiomics approach based on classifier ensemble to differentiate malignancy of hepatocellular carcinoma with Contrast-enhanced MR

Yaoqin Xie, Wu Zhou, Xiaoping Cen, 2019, 2019 International Conference on Medical Imaging Physics and Engineering (ICMIPE).

Inter-Modal Conditional-Guided Fusion Network with Transformer for Grading Hepatocellular Carcinoma

Lijuan Zhang, Guangyi Wang, Wu Zhou, 2023, IEEE International Symposium on Biomedical Imaging.

Attention guided discriminative feature learning and adaptive fusion for grading hepatocellular carcinoma with Contrast-enhanced MR

Lijuan Zhang, Guangyi Wang, Wu Zhou, 2022, Comput. Medical Imaging Graph..

Correlated and individual feature learning with contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma

Honglai Zhang, Lijuan Zhang, Guangyi Wang, 2023, Pattern Recognit..