Zekun Jiang

Pei-nan Zhang, Zekun Jiang, Yan-lin Yin, 2022, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

Semi‐supervised classification of fundus images combined with CNN and GCN

Dengwang Li, Ting Wang, Pu Huang, 2022, Journal of applied clinical medical physics.

Multimodality MRI-based radiomics approach to predict the posttreatment response of lung cancer brain metastases to gamma knife radiosurgery

Dengwang Li, Yingchao Liu, P. Zhao, 2022, European Radiology.

MRI-based pre-Radiomics and delta-Radiomics models accurately predict the post-treatment response of rectal adenocarcinoma to neoadjuvant chemoradiotherapy

H. Ma, Weixin Zhao, Guoqing Cui, 2023, Frontiers in Oncology.

Handcrafted and Deep Learning-Based Radiomic Models Can Distinguish GBM from Brain Metastasis

Y. Liu, Zijian Zhang, Jun Yang, 2021, Journal of oncology.

Deep-learning-based Detection and Segmentation-assisted Management on Brain Metastases.

Yang Ming, Ying Mao, Jie Xue, 2019, Neuro-oncology.

Self-supervised Character-to-Character Distillation for Text Recognition

Qi Feng, Zekun Jiang, Tongkun Guan, 2022, 2211.00288.

CT-Based Hand-crafted Radiomic Signatures Can Predict PD-L1 Expression Levels in Non-small Cell Lung Cancer: a Two-Center Study

Dengwang Li, Zekun Jiang, Shuai Dong, 2021, Journal of Digital Imaging.

SAM on Medical Images: A Comprehensive Study on Three Prompt Modes

Shaoting Zhang, D. Cheng, Kang Li, 2023, ArXiv.

Generative adversarial networks in medical image segmentation: A review

Dengwang Li, Hui Zhu, Xiangfei Chai, 2021, Comput. Biol. Medicine.

Differentiation of Brain Abscess From Cystic Glioma Using Conventional MRI Based on Deep Transfer Learning Features and Hand-Crafted Radiomics Features

Dengwang Li, Q. Cheng, Zhixiong Liu, 2021, Frontiers in Medicine.

Bevacizumab and gefitinib enhanced whole-brain radiation therapy for brain metastases due to non-small-cell lung cancer

L. Zhang, C. Li, Y. Zhang, 2017, Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas.

Towards General Purpose Medical AI: Continual Learning Medical Foundation Model

Dequan Wang, Shaoting Zhang, Zekun Jiang, 2023, ArXiv.

Development and validation of novel radiomics-based nomograms for the prediction of EGFR mutations and Ki-67 proliferation index in non-small cell lung cancer.

Shuguang Liu, Yunhong Lv, F. Sun, 2021, Quantitative imaging in medicine and surgery.

Computational fluid dynamics can detect changes in airway resistance for patients after COVID-19 infection.

Zekun Jiang, Kang Li, Hui Sun, 2023, Journal of Biomechanics.

Self-supervised anomaly detection, staging and segmentation for retinal images

Shaoting Zhang, Shiyi Du, Kang Li, 2023, Medical Image Anal..

Robust deep learning-based PET prognostic imaging biomarker for DLBCL patients: a multicenter study

Xinye Ni, R. Tian, Chunjun Qian, 2023, European Journal of Nuclear Medicine and Molecular Imaging.

Pre-Trained Tabular Transformer for Real-Time, Efficient, Stable Radiomics Data Processing: A Comprehensive Study

Zekun Jiang, Le Zhang, Ruchun Jia, 2023, 2023 IEEE International Conference on E-health Networking, Application & Services (Healthcom).

Anatomically Guided Cross-Domain Repair and Screening for Ultrasound Fetal Biometry

Paul Liu, Zekun Jiang, Qingbo Kang, 2023, IEEE Journal of Biomedical and Health Informatics.

Prognostic prediction of left ventricular myocardial noncompaction using machine learning and cardiac magnetic resonance radiomics

Shan Huang, Pei-lun Han, Zekun Jiang, 2023, Quantitative imaging in medicine and surgery.