Suyu Dong
Orcid: 0000-0001-7521-8782
According to our database1,
Suyu Dong
authored at least 30 papers
between 2016 and 2026.
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Bibliography
2026
Hypergraph-driven landmark detection foundation model on echocardiography for cardiac function quantification.
Pattern Recognit., 2026
2025
CoRR, July, 2025
A continuous-action deep reinforcement learning-based agent for coronary artery centerline extraction in coronary CT angiography images.
Medical Biol. Eng. Comput., June, 2025
IEEE J. Biomed. Health Informatics, May, 2025
IEEE Trans. Fuzzy Syst., May, 2025
Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge.
CoRR, January, 2025
Comput. Medical Imaging Graph., 2025
Comput. Medical Imaging Graph., 2025
2024
Boosting knowledge diversity, accuracy, and stability via tri-enhanced distillation for domain continual medical image segmentation.
Medical Image Anal., 2024
SPEMix: a lightweight method via superclass pseudo-label and efficient mixup for echocardiogram view classification.
Frontiers Artif. Intell., 2024
HLAIImaster: a deep learning method with adaptive domain knowledge predicts HLA II neoepitope immunogenic responses.
Briefings Bioinform., 2024
Meta learning for mutant HLA class I epitope immunogenicity prediction to accelerate cancer clinical immunotherapy.
Briefings Bioinform., 2024
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
Biomedically Informed ECG Synthesis: Customizing Cardiac Cycle Phases with Diffusion Model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
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
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
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
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