Jiechao Ma

发表

Development and Validation of a Deep Learning Model for Preoperative Screening of Myasthenia Gravis in Patients with Thymoma based on CT Images

Lei Yang, Xiaoyu Yang, Zhenguo Liu, 2020 .

The Application of Artiﬁcial Intelligence in the Diagnosis and Drug Resistance Prediction of Pulmonary Tuberculosis

Gang Wang, Jingwei Li, Weimin Li, 2022 .

Development and validation of an abnormality-derived deep-learning diagnostic system for major respiratory diseases

Yizhou Yu, Lujia Song, Jun Shao, 2022, npj Digital Medicine.

Immune regulation and emerging roles of noncoding RNAs in Mycobacterium tuberculosis infection

Jingwei Li, Hanlin Gong, Zhoufeng Wang, 2022, Frontiers in Immunology.

Radiogenomic System for Non-Invasive Identification of Multiple Actionable Mutations and PD-L1 Expression in Non-Small Cell Lung Cancer Based on CT Images

Yizhou Yu, Jingwei Li, Jun Shao, 2022, Cancers.

Predicting gene mutation status via artificial intelligence technologies based on multimodal data integration to advance precision oncology.

Q. Zhang, Jun Shao, Chengdi Wang, 2023, Seminars in cancer biology.

Predicting EGFR and PD-L1 Status in NSCLC Patients Using Multitask AI System Based on CT Images

Wei-min Li, Yizhou Yu, Jun Shao, 2022, Frontiers in Immunology.

Recent developments in the application of artificial intelligence to chest medical image analysis

Jie Tang, Zhen Zhou, Yizhou Yu, 2021, Intelligent Medicine.

Survey on deep learning for pulmonary medical imaging

Yang Song, Jiechao Ma, Jianlin Wu, 2019, Frontiers of Medicine.

Non-Invasive Measurement Using Deep Learning Algorithm Based on Multi-Source Features Fusion to Predict PD-L1 Expression and Survival in NSCLC

Wei-min Li, Yizhou Yu, Junpeng Yan, 2022, Frontiers in Immunology.

Advances in Deep Learning-Based Medical Image Analysis

Fujin He, Jiechao Ma, Kongming Liang, 2021, Health data science.

Evaluating a Fully Automated Pulmonary Nodule Detection Approach and Its Impact on Radiologist Performance.

Rongguo Zhang, Qiong Li, Shiyuan Liu, 2019, Radiology. Artificial intelligence.

Cross-View Relation Networks for Mammogram Mass Detection pdf

Rongguo Zhang, Xiang Li, Wei-Shi Zheng, 2019, 2020 25th International Conference on Pattern Recognition (ICPR).

Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training pdf

Zihao Li, Yizhou Yu, Shu Zhang, 2022, Neurocomputing.

CCF-Net: Composite Context Fusion Network with Inter-Slice Correlative Fusion for Multi-Disease Lesion Detection

Kaiqi Huang, Zihao Li, Yu Yizhou, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices pdf

Shu Zhang, Yizhou Yu, Yizhou Wang, 2020, MICCAI.

A novel matched-pairs feature selection method considering with tumor purity for differential gene expression analyses.

Sen Liang, Yan Wang, Jiechao Ma, 2019, Mathematical biosciences.

Clinical Applicable AI System Based on Deep Learning Algorithm for Differentiation of Pulmonary Infectious Disease

W. Zeng, Wei Chen, Xiao-fei Hu, 2021, Frontiers in Medicine.

The long-term health outcomes, pathophysiological mechanisms and multidisciplinary management of long COVID

Jingwei Li, Jun Shao, Chengdi Wang, 2023, Signal transduction and targeted therapy.

Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation

Zijia Zhang, Shu Zhang, Jiechao Ma, 2023, MICCAI.

Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks pdf

Xiang Li, Hongwei Li, Jiechao Ma, 2019, ArXiv.