Zhicheng Li

发表

Differentiation of clear cell and non-clear cell renal cell carcinomas by all-relevant radiomics features from multiphase CT: a VHL mutation perspective

Guangtao Zhai, Zhongqiu Wang, Dong Liang, 2018, European Radiology.

A Fully-Automatic Multiparametric Radiomics Model: Towards Reproducible and Prognostic Imaging Signature for Prediction of Overall Survival in Glioblastoma Multiforme

Chaofeng Liang, Zhicheng Li, Qihua Li, 2017, Scientific Reports.

A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme

Guangtao Zhai, Jing Liu, Zhicheng Li, 2017, Scientific Reports.

Multiregional radiomics features from multiparametric MRI for prediction of MGMT methylation status in glioblastoma multiforme: A multicentre study

Chaofeng Liang, Hairong Zheng, Zhicheng Li, 2018, European Radiology.

Multiregional radiomics profiling from multiparametric MRI: Identifying an imaging predictor of IDH1 mutation status in glioblastoma

Hairong Zheng, Chaofeng Liang, Dong Liang, 2018, Cancer medicine.

Combining DWI radiomics features with transurethral resection promotes the differentiation between muscle-invasive bladder cancer and non-muscle-invasive bladder cancer

Qiu-ying Yao, Jianrong Xu, Hai-ge Chen, 2019, European Radiology.

Radiomics nomogram for preoperative prediction of progression-free survival using diffusion-weighted imaging in patients with muscle-invasive bladder cancer.

Guangtao Zhai, Yuanshen Zhao, Guangyu Wu, 2020, European journal of radiology.

GaLNet: Weakly-Supervised Learning for Evidence-Based Tumor Grading and Localization in MR Imaging

Yuanshen Zhao, Zhi-Cheng Li, Qiuchang Sun, 2020, Communications in Computer and Information Science.

Glioma survival prediction from whole-brain MRI without tumor segmentation using deep attention network: a multicenter study

Shenmin Zhang, Huailing Zhang, Chaofeng Liang, 2022, European Radiology.

Image-based deep learning identifies glioblastoma risk groups with genomic and transcriptomic heterogeneity: a multi-center study

Jingliang Cheng, Chaofeng Liang, Zhicheng Li, 2022, European Radiology.

Radiomics and Qualitative Features From Multiparametric MRI Predict Molecular Subtypes in Patients With Lower-Grade Glioma

Jingliang Cheng, Zhicheng Li, Lei Liu, 2022, Frontiers in Oncology.

Deep learning MRI signature to predict survival and treatment benefit from temozolomide in IDH-wildtype glioblastoma

Huailing Zhang, Wenxia Wu, Zhicheng Li, 2023, Displays.

Incremental prognostic value and underlying biological pathways of radiomics patterns in medulloblastoma

Jingliang Cheng, Zhicheng Li, Lei Liu, 2020, EBioMedicine.

Radiomic Features From Multi-Parameter MRI Combined With Clinical Parameters Predict Molecular Subgroups in Patients With Medulloblastoma

Jingliang Cheng, Zhicheng Li, Lei Liu, 2020, Frontiers in Oncology.

Genetic Biomarkers For Hepatocellular Carcinoma In The Era Of Precision Medicine

Zhicheng Li, Jiajia Zhang, Jie Han, 2019, Journal of hepatocellular carcinoma.

Predicting 1p/19q co-deletion status from magnetic resonance imaging using deep learning in adult-type diffuse lower-grade gliomas: a discovery and validation study

Jingliang Cheng, Zhicheng Li, Qiuchang Sun, 2021, Laboratory Investigation.

Evaluation of reconstruction algorithms for a stationary digital breast tomosynthesis system using a carbon nanotube X-ray source array.

Jianwei Chen, Zhanli Hu, Yongshuai Ge, 2020, Journal of X-ray science and technology.

Comparison of Transferred Deep Neural Networks in Ultrasonic Breast Masses Discrimination

Wenjian Qin, Shaode Yu, Lei Liu, 2018, BioMed research international.

Image-based deep learning identifies glioblastoma risk groups with genomic and transcriptomic heterogeneity: a multi-center study

Jingliang Cheng, Chaofeng Liang, Zhicheng Li, 2022, European Radiology.

Imaging phenotypes from MRI for the prediction of glioma immune subtypes from RNA sequencing: A multicenter study

Jingliang Cheng, Dong Liang, Hairong Zheng, 2023, Molecular oncology.

DeepPhase: Learning phase contrast signal from dual energy X-ray absorption images

Dong Liang, Zhanli Hu, Yongshuai Ge, 2021, Displays.

Enhancing the X-Ray Differential Phase Contrast Image Quality With Deep Learning Technique

Yongshuai Ge, Dong Liang, Jianwei Chen, 2020, IEEE Transactions on Biomedical Engineering.

Deep Learning vs. Radiomics for Predicting Axillary Lymph Node Metastasis of Breast Cancer Using Ultrasound Images: Don't Forget the Peritumoral Region

Yuanshen Zhao, Zhi-Cheng Li, Qiuchang Sun, 2020, Frontiers in Oncology.

Iterative image-domain ring artifact removal in cone-beam CT

Yaoqin Xie, Tianye Niu, Shibin Wu, 2017, Physics in medicine and biology.

A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme

Guangtao Zhai, Jing Liu, Zhicheng Li, 2017, Scientific Reports.

Multi-task learning for concurrent survival prediction and semi-supervised segmentation of gliomas in brain MRI

Huailing Zhang, Jingliang Cheng, Wenxia Wu, 2023, Displays.

3D Deep Attention Network for Survival Prediction from Magnetic Resonance Images in Glioblastoma

Zijia Liu, Hongmin Bai, Zhicheng Li, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Biologic Pathways Underlying Prognostic Radiomics Phenotypes from Paired MRI and RNA Sequencing in Glioblastoma.

Dong Liang, Hairong Zheng, Zhicheng Li, 2021, Radiology.

Deep learning features from diffusion tensor imaging improve glioma stratification and identify risk groups with distinct molecular pathway activities

Shenmin Zhang, Jingliang Cheng, Zhicheng Li, 2021, EBioMedicine.

Validation of CT radiomics for prediction of distant metastasis after surgical resection in patients with clear cell renal cell carcinoma: exploring the underlying signaling pathways

Guangtao Zhai, Zhicheng Li, Guiqin Liu, 2021, European Radiology.

Identification of a Qualitative Signature for the Diagnosis of Dementia With Lewy Bodies

Zhicheng Li, Zexuan Wang, Lingyu Li, 2021, Frontiers in Genetics.

A radiopathomics model for prognosis prediction in patients with gastric cancer

Zhicheng Li, Yuanshen Zhao, N. Chai, 2022, 2022 14th Biomedical Engineering International Conference (BMEiCON).

Riskformer: Survival Prediction from MR Imaging in Patients with IDH-wildtype Glioblastoma

Zhicheng Li, Yinsheng Chen, H. Zeng, 2023, Displays.

Deep Learning Radiomics to Predict PTEN Mutation Status From Magnetic Resonance Imaging in Patients With Glioma

Xiaofei Lv, Zhicheng Li, Yinsheng Chen, 2021, Frontiers in Oncology.

3D Deep Residual Encoder-Decoder CNNS with Squeeze-and-Excitation for Brain Tumor Segmentation

Ling Li, Kai Yan, Zhicheng Li, 2019, BrainLes@MICCAI.

Non-ideal iris segmentation using anisotropic diffusion

Bao-Sheng Li, Zhi-Cheng Li, Hong-Lin Wan, 2013, IET Image Process..

Radiomic features from multiparametric magnetic resonance imaging predict molecular subgroups of pediatric low-grade gliomas

Z. Liu, Zhicheng Li, Qiuchang Sun, 2023, BMC Cancer.

Computational Pathology for Prediction of Isocitrate Dehydrogenase Gene Mutation from Whole-Slide Images in Adult Patients with Diffuse Glioma.

Zhicheng Li, Yuanshen Zhao, Zhenyu Zhang, 2024, The American journal of pathology.