Shanhui Sun
Orcid: 0000-0001-9841-8592
According to our database1,
Shanhui Sun
authored at least 59 papers
between 2011 and 2024.
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Bibliography
2024
Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy.
CoRR, 2024
Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping.
CoRR, 2024
CoRR, 2024
Spatiotemporal Diffusion Model with Paired Sampling for Accelerated Cardiac Cine MRI.
CoRR, 2024
Clinically Feasible Diffusion Reconstruction for Highly-Accelerated Cardiac Cine MRI.
CoRR, 2024
Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Holistic Multi-Slice Framework for Dynamic Simultaneous Multi-Slice MRI Reconstruction.
CoRR, 2023
IEEE Access, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Enhancing Cardiac MRI Segmentation via Classifier-Guided Two-Stage Network and All-Slice Information Fusion Transformer.
Proceedings of the Applications of Medical Artificial Intelligence, 2023
Proceedings of the Information Processing in Medical Imaging, 2023
2022
IEEE Trans. Medical Imaging, 2022
DDNet: 3D densely connected convolutional networks with feature pyramids for nasopharyngeal carcinoma segmentation.
IET Image Process., 2022
JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network for Multi-contrast MRI.
CoRR, 2022
Flow-Based Visual Quality Enhancer for Super-Resolution Magnetic Resonance Spectroscopic Imaging.
Proceedings of the Deep Generative Models - Second MICCAI Workshop, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Medical Image Anal., 2021
CoRR, 2021
Complex., 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021
2020
Learning physical properties in complex visual scenes: An intelligent machine for perceiving blood flow dynamics from static CT angiography imaging.
Neural Networks, 2020
IEEE Netw., 2020
CoRR, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020
Data-Consistency in Latent Space and Online Update Strategy to Guide GAN for Fast MRI Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Analysis of farmers' land transfer willingness and satisfaction based on SPSS analysis of computer software.
Clust. Comput., 2019
Towards Accurate and Robust Multi-Modal Medical Image Registration Using Contrastive Metric Learning.
IEEE Access, 2019
2018
Int. J. Reason. based Intell. Syst., 2018
Invasive Cancer Detection Utilizing Compressed Convolutional Neural Network and Transfer Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
A discriminative learning based approach for automated nasopharyngeal carcinoma segmentation leveraging multi-modality similarity metric learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Proceedings of the British Machine Vision Conference 2018, 2018
Proceedings of the Computer Vision - ACCV 2018, 2018
2017
DepthSynth: Real-Time Realistic Synthetic Data Generation from CAD Models for 2.5D Recognition.
CoRR, 2017
Proceedings of the Medical Imaging 2017: Image Processing, 2017
DepthSynth: Real-Time Realistic Synthetic Data Generation from CAD Models for 2.5D Recognition.
Proceedings of the 2017 International Conference on 3D Vision, 2017
2016
Towards Automated Ultrasound Transesophageal Echocardiography and X-Ray Fluoroscopy Fusion Using an Image-Based Co-registration Method.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Guidewire tracking using a novel sequential segment optimization method in interventional X-ray videos.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Towards an Efficient Computational Framework for Guiding Surgical Resection through Intra-operative Endo-microscopic Pathology.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
2014
J. Networks, 2014
Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
2013
IEEE Trans. Medical Imaging, 2013
Lung segmentation refinement based on optimal surface finding utilizing a hybrid desktop/virtual reality user interface.
Comput. Medical Imaging Graph., 2013
Graph-based 4D lung segmentation in CT images with expert-guided computer-aided refinement.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
Automated 3-D Segmentation of Lungs With Lung Cancer in CT Data Using a Novel Robust Active Shape Model Approach.
IEEE Trans. Medical Imaging, 2012
2011
Proceedings of the Advances in Visual Computing - 7th International Symposium, 2011