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Rongjun Ge

Showing results (1-10 of 24) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|March 3, 2025
Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation LearningYuting He, Boyu Wang, Rongjun Ge, et al.
IEEE Transactions on Medical Imaging|November 4, 2022
Low-Dose CT Denoising via Sinogram Inner-Structure TransformerLiutao Yang, Zhongnian Li, Rongjun Ge, et al.
The International Journal of Cardiovascular Imaging|July 5, 2024
Deep learning prediction of survival in patients with heart failure using chest radiographsHan Jia, Shengen Liao, Xiaomei Zhu, et al.
IEEE Journal of Biomedical and Health Informatics|March 7, 2022
S2Q-Net: Mining the High-Pass Filtered Phase Data in Susceptibility Weighted Imaging for Quantitative Susceptibility MappingZhiyang Lu, Jun Li, Chaoyue Wang, et al.
Medical Image Analysis|September 24, 2019
PV-LVNet: Direct left ventricle multitype indices estimation from 2D echocardiograms of paired apical views with deep neural networksRongjun Ge, Guanyu Yang, Yang Chen, et al.
Artificial Intelligence in Medicine|July 14, 2024
Prediction of Freezing of Gait in Parkinson's disease based on multi-channel time-series neural networkBoyan Wang, Xuegang Hu, Rongjun Ge, et al.
IEEE Transactions on Medical Imaging|November 26, 2019
K-Net: Integrate Left Ventricle Segmentation and Direct Quantification of Paired Echo SequenceRongjun Ge, Guanyu Yang, Yang Chen, et al.
Physics in Medicine and Biology|July 23, 2020
MD-NDNet: a multi-dimensional convolutional neural network for false-positive reduction in pulmonary nodule detectionZhan Wu, Rongjun Ge, Gonglei Shi, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 27, 2022
Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and RobustnessYuting He, Rongjun Ge, Xiaoming Qi, et al.
IEEE Journal of Biomedical and Health Informatics|July 7, 2021
Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse TeachingYuting He, Tiantian Li, Rongjun Ge, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 3, 2025
Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation LearningYuting He, Boyu Wang, Rongjun Ge, et al.
IEEE Transactions on Medical Imaging|November 4, 2022
Low-Dose CT Denoising via Sinogram Inner-Structure TransformerLiutao Yang, Zhongnian Li, Rongjun Ge, et al.
The International Journal of Cardiovascular Imaging|July 5, 2024
Deep learning prediction of survival in patients with heart failure using chest radiographsHan Jia, Shengen Liao, Xiaomei Zhu, et al.
IEEE Journal of Biomedical and Health Informatics|March 7, 2022
S2Q-Net: Mining the High-Pass Filtered Phase Data in Susceptibility Weighted Imaging for Quantitative Susceptibility MappingZhiyang Lu, Jun Li, Chaoyue Wang, et al.
Medical Image Analysis|September 24, 2019
PV-LVNet: Direct left ventricle multitype indices estimation from 2D echocardiograms of paired apical views with deep neural networksRongjun Ge, Guanyu Yang, Yang Chen, et al.
Artificial Intelligence in Medicine|July 14, 2024
Prediction of Freezing of Gait in Parkinson's disease based on multi-channel time-series neural networkBoyan Wang, Xuegang Hu, Rongjun Ge, et al.
IEEE Transactions on Medical Imaging|November 26, 2019
K-Net: Integrate Left Ventricle Segmentation and Direct Quantification of Paired Echo SequenceRongjun Ge, Guanyu Yang, Yang Chen, et al.
Physics in Medicine and Biology|July 23, 2020
MD-NDNet: a multi-dimensional convolutional neural network for false-positive reduction in pulmonary nodule detectionZhan Wu, Rongjun Ge, Gonglei Shi, et al.
IEEE Transactions on Neural Networks and Learning Systems|July 27, 2022
Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and RobustnessYuting He, Rongjun Ge, Xiaoming Qi, et al.
IEEE Journal of Biomedical and Health Informatics|July 7, 2021
Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse TeachingYuting He, Tiantian Li, Rongjun Ge, et al.
Pageof 3