Publications by authors named "Rongjun Ge"

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Human gaze-based dual teacher guidance learning for semi-supervised medical image segmentation.
Rongjun Ge, Chong Wang, Yuxin Liu, Chunqiang Lu, Cong Xia

Neural Netw· December 2025

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Extreme cardiac MRI analysis under respiratory motion: Results of the CMRxMotion challenge.
Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Rob J van der Geest, Rongjun Ge

Med Image Anal· November 2025

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Conditional Virtual Imaging for Few-Shot Vascular Image Segmentation.
Yanglong He, Rongjun Ge, Hui Tang, Yuxin Liu, Mengqing Su

IEEE Trans Med Imaging· September 2025

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Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning.
Yuting He, Boyu Wang, Rongjun Ge, Yang Chen, Guanyu Yang

IEEE Trans Pattern Anal Mach Intell· May 2025

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Signal enhancement ratio of multi-phase contrast-enhanced MRI: an imaging biomarker for survival in pancreatic adenocarcinoma.
Cong Xia, Jin-Rong Qu, Yi-Ping Jiao, Chun-Qiang Lu, Ben Zhao, Rong-Jun Ge

Eur Radiol· November 2024

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Deep learning prediction of survival in patients with heart failure using chest radiographs.
Han Jia, Shengen Liao, Xiaomei Zhu, Wangyan Liu, Yi Xu, Rongjun Ge

Int J Cardiovasc Imaging· September 2024

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Prediction of Freezing of Gait in Parkinson's disease based on multi-channel time-series neural network.
Boyan Wang, Xuegang Hu, Rongjun Ge, Chenchu Xu, Jinglin Zhang

Artif Intell Med· August 2024

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Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness.
Yuting He, Rongjun Ge, Xiaoming Qi, Yang Chen, Jiasong Wu

IEEE Trans Neural Netw Learn Syst· February 2024

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Development of a radiomics-based model to predict occult liver metastases of pancreatic ductal adenocarcinoma: a multicenter study.
Ben Zhao, Cong Xia, Tianyi Xia, Yue Qiu, Liwen Zhu, Rongjun Ge

Int J Surg· February 2024

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Low-Dose CT Denoising via Sinogram Inner-Structure Transformer.
Liutao Yang, Zhongnian Li, Rongjun Ge, Junyong Zhao, Haipeng Si

IEEE Trans Med Imaging· April 2023

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S2Q-Net: Mining the High-Pass Filtered Phase Data in Susceptibility Weighted Imaging for Quantitative Susceptibility Mapping.
Zhiyang Lu, Jun Li, Chaoyue Wang, Rongjun Ge, Lili Chen

IEEE J Biomed Health Inform· August 2022

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Deep learning-based framework for segmentation of multiclass rib fractures in CT utilizing a multi-angle projection network.
Yuan Gao, Han Chen, Rongjun Ge, Zhan Wu, Hui Tang

Int J Comput Assist Radiol Surg· June 2022

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Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching.
Yuting He, Tiantian Li, Rongjun Ge, Jian Yang, Youyong Kong

IEEE J Biomed Health Inform· March 2022

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Convolutional squeeze-and-excitation network for ECG arrhythmia detection.
Rongjun Ge, Tengfei Shen, Ying Zhou, Chengyu Liu, Libo Zhang

Artif Intell Med· November 2021

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Meta grayscale adaptive network for 3D integrated renal structures segmentation.
Yuting He, Guanyu Yang, Jian Yang, Rongjun Ge, Youyong Kong, Jean-Louis Dillenseger

Med Image Anal· July 2021

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ELNet:Automatic classification and segmentation for esophageal lesions using convolutional neural network.
Zhan Wu, Rongjun Ge, Minli Wen, Gaoshuang Liu, Yang Chen

Med Image Anal· January 2021

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MD-NDNet: a multi-dimensional convolutional neural network for false-positive reduction in pulmonary nodule detection.
Zhan Wu, Rongjun Ge, Gonglei Shi, Lu Zhang, Yang Chen

Phys Med Biol· December 2020

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K-Net: Integrate Left Ventricle Segmentation and Direct Quantification of Paired Echo Sequence.
Rongjun Ge, Guanyu Yang, Yang Chen, Limin Luo, Cheng Feng

IEEE Trans Med Imaging· May 2020

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PV-LVNet: Direct left ventricle multitype indices estimation from 2D echocardiograms of paired apical views with deep neural networks.
Rongjun Ge, Guanyu Yang, Yang Chen, Limin Luo, Cheng Feng

Med Image Anal· December 2019

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