Rongguo Zhang

发表

Development of a deep learning model for classifying thymoma as Masaoka-Koga stage I or II via preoperative CT images

Wenjia Cai, Lei Yang, Xiaoyu Yang, 2020, Annals of translational medicine.

A preliminary examination of the diagnostic value of deep learning in hip osteoarthritis

Rongguo Zhang, T. Jiang, Yanping Xue, 2017, PloS one.

Automatic Detection and Classification of Rib Fractures on Thoracic CT Using Convolutional Neural Network: Accuracy and Feasibility

Xindao Yin, Rongguo Zhang, Bing Zhang, 2020, Korean journal of radiology.

Prediction of the Development of Pulmonary Fibrosis Using Serial Thin-Section CT and Clinical Features in Patients Discharged after Treatment for COVID-19 Pneumonia

Haibo Xu, Rongguo Zhang, Y. Liu, 2020, Korean journal of radiology.

Identification of benign and malignant pulmonary nodules on chest CT using improved 3D U-Net deep learning framework.

Jianlin Wu, Rongguo Zhang, Jinsha Liu, 2020, European journal of radiology.

Assessing the predictive accuracy of lung cancer, metastases, and benign lesions using an artificial intelligence-driven computer aided diagnosis system.

Mingzhu Liang, Rongguo Zhang, Kunwei Li, 2021, Quantitative imaging in medicine and surgery.

Transformer Lesion Tracker

Rongguo Zhang, Han Kang, Wen Tang, 2022, 2206.06252.

RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans

Rongguo Zhang, Han Kang, Wen Tang, 2022, MICCAI.

3D DenseNet Deep Learning Based Preoperative Computed Tomography for Detecting Myasthenia Gravis in Patients With Thymoma

Lei Yang, Xiaoyu Yang, Zhenguo Liu, 2021, Frontiers in Oncology.

3D DenseNet Deep Learning Based Preoperative Computed Tomography for Detecting Myasthenia Gravis in Patients With Thymoma

Lei Yang, Xiaoyu Yang, Zhenguo Liu, 2021, Frontiers in Oncology.

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 .

MMMNA-Net for Overall Survival Time Prediction of Brain Tumor Patients

Rongguo Zhang, Han Kang, Wen Tang, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Can peritumoral regions increase the efficiency of machine-learning prediction of pathological invasiveness in lung adenocarcinoma manifesting as ground-glass nodules?

Rongguo Zhang, Xiang Wang, Qingchu Li, 2021, Journal of Thoracic Disease.

Automatic detection and classification of rib fractures based on patients’ CT images and clinical information via convolutional neural network

Xindao Yin, Rongguo Zhang, Bing Zhang, 2020, European Radiology.

Survey on deep learning for pulmonary medical imaging

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

Precise anatomical localization and classification of rib fractures on CT using a convolutional neural network.

Rongguo Zhang, Qing-Qing Zhou, Jiashuo Wang, 2021, Clinical imaging.

Discrimination of smoking status by MRI based on deep learning method.

Kuan Chen, Dan Xiao, Tao Jiang, 2018, Quantitative imaging in medicine and surgery.

Deep learning-based triage and analysis of lesion burden for COVID-19: a retrospective study with external validation

Jun Liu, Chen Xia, Minghuan Wang, 2020, The Lancet Digital Health.

Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks

Xiaojun Chen, Rongguo Zhang, Shaolin Li, 2020, European Radiology.

Non-invasive precise staging of liver fibrosis using deep residual network model based on plain CT images

Rongguo Zhang, Han Kang, Q. Guo, 2022, International Journal of Computer Assisted Radiology and Surgery.

Evaluation of acute pulmonary embolism and clot burden on CTPA with deep learning

Rongguo Zhang, Min Liu, Han Kang, 2020, European Radiology.

Yuan 1.0: Large-Scale Pre-trained Language Model in Zero-Shot and Few-Shot Learning pdf

Liang Xu, Chong Shen, Xuanwei Zhang, 2021, ArXiv.

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

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

Deep Network for the Automatic Segmentation and Quantification of Intracranial Hemorrhage on CT

Rongguo Zhang, Yufeng Deng, Jun Ma, 2021, Frontiers in Neuroscience.

Multimodal 3D DenseNet for IDH Genotype Prediction in Gliomas

Yan Wang, Sen Liang, Tao Ai, 2018, Genes.

Clot burden of acute pulmonary thromboembolism: comparison of two deep learning algorithms, Qanadli score, and Mastora score.

Rongguo Zhang, Min Liu, Xiao-juan Guo, 2021, Quantitative imaging in medicine and surgery.

Machine learning analysis for the noninvasive prediction of lymphovascular invasion in gastric cancer using PET/CT and enhanced CT-based radiomics and clinical variables

Rongguo Zhang, Hongkun Yin, Huiling Zhang, 2022, Abdominal Radiology.

Deep residual nets model for staging liver fibrosis on plain CT images

Qiyong Guo, Bing Yu, Qiuju Li, 2020, International Journal of Computer Assisted Radiology and Surgery.

Idiopathic pulmonary fibrosis disease progression: a dynamic quantitative chest computed tomography follow-up analysis

Rongguo Zhang, H. Dai, Chen Wang, 2023, Quantitative imaging in medicine and surgery.

Characteristics of Diaphragmatic and Chest Wall Motion in People with Normal Pulmonary Function: A Study with Free-Breathing Dynamic MRI

Rongguo Zhang, H. Dai, Chen Li, 2022, Journal of clinical medicine.

Deep Learning Algorithm Enables Cerebral Venous Thrombosis Detection With Routine Brain Magnetic Resonance Imaging

Yuehua Wu, X. Ji, Rongguo Zhang, 2023, Stroke.

Quantitative analysis of high-resolution computed tomography features of idiopathic pulmonary fibrosis: a structure-function correlation study.

Rongguo Zhang, H. Dai, Chen Wang, 2021, Quantitative Imaging in Medicine and Surgery.

Using contrast-enhanced CT and non-contrast-enhanced CT to predict EGFR mutation status in NSCLC patients—a radiomics nomogram analysis

Rongguo Zhang, Yanhong Ren, H. Dai, 2021, European Radiology.

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).

MMMNA-Net for Overall Survival Time Prediction of Brain Tumor Patients

Rongguo Zhang, Wen Tang, Pengxin Yu, 2022, 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

RPLHR-CT Dataset and Transformer Baseline for Volumetric Super-Resolution from CT Scans

Rongguo Zhang, Wen Tang, C. Arnold, 2022, MICCAI.

Nodule Slices Detection based on Weak Labels with a Novel Deep Learning Method

Rongguo Zhang, Kuan Chen, Huiling Zhang, 2020, ICRAI.

A preliminary investigation on pulmonary subsolid nodule detection using deep learning methods from chest X-rays

Rongguo Zhang, Qiong Li, Wenting Tu, 2017 .

Attention Aware and Multiple Granularity 3D Convolutional Neural Networks for Lung Nodule Classification on CT Image

Rongguo Zhang, Kuan Chen, Yanfeng Li, 2020, 2020 IEEE 5th International Conference on Signal and Image Processing (ICSIP).

Lung shrinking assessment on HRCT with elastic registration technique for monitoring idiopathic pulmonary fibrosis

Rongguo Zhang, H. Dai, Chen Wang, 2022, European Radiology.