Suyu Dong

Orcid: 0000-0001-7521-8782

According to our database1, Suyu Dong authored at least 16 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge.
CoRR, 2023

Graph Convolutional Network with Neural Inductive Matrix Completion for Predicting Disease-Related LncRNA Genes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Vision Transformers(ViT) Pretraining on 3D ABUS Image and Dual-CapsViT: Enhancing ViT Decoding via Dual-Channel Dynamic Routing.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Synergistically Learning Class-specific Tokens for Multi-class Whole Slide Image Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2020
Commensal correlation network between segmentation and direct area estimation for bi-ventricle quantification.
Medical Image Anal., 2020

Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography.
Medical Image Anal., 2020

2019
A Deep Reinforcement Learning Framework for Frame-by-Frame Plaque Tracking on Intravascular Optical Coherence Tomography Image.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Weakly Supervised Deformation Network for 3D Echocardiography Segmentation on Left Ventricle.
Proceedings of the 46th Computing in Cardiology, 2019

2018
Multi-Views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images.
IEEE Trans. Biomed. Eng., 2018

VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-Voxel Discrimination.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2016
A Novel Left Ventricular Volumes Prediction Method Based on Deep Learning Network in Cardiac MRI.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

A Deep Learning Network for Right Ventricle Segmentation in Short-Axis MRI.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Calcium Calmodulin Dependent Protein Kinase II (CaMKII) Contribute to Arrhythmias after Acidosis: A Simulation Study.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

A Combined Multi-scale Deep Learning and Random Forests Approach for Direct Left Ventricular Volumes Estimation in 3D Echocardiography.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

A Left Ventricular Segmentation Method on 3D Echocardiography Using Deep Learning and Snake.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Cardiac left ventricular volumes prediction method based on atlas location and deep learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016


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