Rongjun Ge

Orcid: 0000-0002-7084-1126

According to our database1, Rongjun Ge authored at least 37 papers between 2019 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Learning Better Registration to Learn Better Few-Shot Medical Image Segmentation: Authenticity, Diversity, and Robustness.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

2023
A novel DAVnet3+ method for precise segmentation of bladder cancer in MRI.
Vis. Comput., October, 2023

Low-Dose CT Denoising via Sinogram Inner-Structure Transformer.
IEEE Trans. Medical Imaging, April, 2023

Improving anisotropy resolution of computed tomography and annotation using 3D super-resolution network.
Biomed. Signal Process. Control., April, 2023

3DSRNet: 3-D Spine Reconstruction Network Using 2-D Orthogonal X-Ray Images Based on Deep Learning.
IEEE Trans. Instrum. Meas., 2023

Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training.
CoRR, 2023

ReconNext: A Encoder-Decoder Skip Cross Attention Based Approach to Reconstruct Cardiac MRI.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

Eye-Guided Dual-Path Network for Multi-organ Segmentation of Abdomen.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

JCCS-PFGM: A Novel Circle-Supervision Based Poisson Flow Generative Model for Multiphase CECT Progressive Low-Dose Reconstruction with Joint Condition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-training.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Multi-task Multi-instance Learning for Jointly Diagnosis and Prognosis of Early-Stage Breast Invasive Carcinoma from Whole-Slide Pathological Images.
Proceedings of the Information Processing in Medical Imaging, 2023

Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PSDD-Net: A Dual-Domain Framework for Pancreatic Cancer Image Segmentation with Multi-scale Local-Dense Net.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

DACTransNet: A Hybrid CNN-Transformer Network for Histopathological Image Classification of Pancreatic Cancer.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022
S2Q-Net: Mining the High-Pass Filtered Phase Data in Susceptibility Weighted Imaging for Quantitative Susceptibility Mapping.
IEEE J. Biomed. Health Informatics, 2022

Few-Shot Learning for Deformable Medical Image Registration With Perception-Correspondence Decoupling and Reverse Teaching.
IEEE J. Biomed. Health Informatics, 2022

Projection network with Spatio-temporal information: 2D + time DSA to 2D aorta segmentation.
Multim. Tools Appl., 2022

RE-3DLVNet: Refined estimation of the left ventricle volume via interactive 3D segmentation and reinforced quantification.
Knowl. Based Syst., 2022

X-CTRSNet: 3D cervical vertebra CT reconstruction and segmentation directly from 2D X-ray images.
Knowl. Based Syst., 2022

Deep learning-based framework for segmentation of multiclass rib fractures in CT utilizing a multi-angle projection network.
Int. J. Comput. Assist. Radiol. Surg., 2022

3D MRI Cardiac Segmentation Under Respiratory Motion Artifacts.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Learning Projection Views for Sparse-View CT Reconstruction.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

DDPNet: A Novel Dual-Domain Parallel Network for Low-Dose CT Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Automatic and Robust Object Detection in X-Ray Baggage Inspection Using Deep Convolutional Neural Networks.
IEEE Trans. Ind. Electron., 2021

CD-Net: Comprehensive Domain Network With Spectral Complementary for DECT Sparse-View Reconstruction.
IEEE Trans. Computational Imaging, 2021

ELNet: Automatic classification and segmentation for esophageal lesions using convolutional neural network.
Medical Image Anal., 2021

Meta grayscale adaptive network for 3D integrated renal structures segmentation.
Medical Image Anal., 2021

Automatic Patient-Level Detection of Coronavirus Disease (COVID-19) Using Convolutional Neural Network from Lung CT Scans.
J. Medical Imaging Health Informatics, 2021

Convolutional squeeze-and-excitation network for ECG arrhythmia detection.
Artif. Intell. Medicine, 2021

EnMcGAN: Adversarial Ensemble Learning for 3D Complete Renal Structures Segmentation.
Proceedings of the Information Processing in Medical Imaging, 2021

Thin Semantics Enhancement via High-Frequency Priori Rule for Thin Structures Segmentation.
Proceedings of the IEEE International Conference on Data Mining, 2021

2020
K-Net: Integrate Left Ventricle Segmentation and Direct Quantification of Paired Echo Sequence.
IEEE Trans. Medical Imaging, 2020

SISTER: Spectral-Image Similarity-Based Tensor With Enhanced-Sparsity Reconstruction for Sparse-View Multi-Energy CT.
IEEE Trans. Computational Imaging, 2020

2019
PV-LVNet: Direct left ventricle multitype indices estimation from 2D echocardiograms of paired apical views with deep neural networks.
Medical Image Anal., 2019

A Novel Chaos-Based Symmetric Image Encryption Using Bit-Pair Level Process.
IEEE Access, 2019

Stereo-Correlation and Noise-Distribution Aware ResVoxGAN for Dense Slices Reconstruction and Noise Reduction in Thick Low-Dose CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

EchoQuan-Net: Direct Quantification of Echo Sequence for Left Ventricle Multidimensional Indices via Global-Local Learning, Geometric Adjustment and Multi-target Relation Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019


  Loading...