Bin Dong
Orcid: 0000-0003-1295-3362Affiliations:
- Peking University, Beijing International Center for Mathematical Research, China
- Peking University, Center for Data Science, Beijing, China
According to our database1,
Bin Dong
authored at least 66 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
SIAM J. Sci. Comput., 2024
2023
A Scalable Deep Learning Approach for Solving High-Dimensional Dynamic Optimal Transport.
SIAM J. Sci. Comput., August, 2023
propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans.
CoRR, 2023
A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection.
CoRR, 2023
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
CoRR, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Medical Imaging, 2021
CoRR, 2021
Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training.
CoRR, 2021
Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
DAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator Attention and Self-Training.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
CoRR, 2020
Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging.
CoRR, 2020
CoRR, 2020
Enhancing Certified Robustness of Smoothed Classifiers via Weighted Model Ensembling.
CoRR, 2020
IEEE Access, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
AF-SEG: An Annotation-Free Approach for Image Segmentation by Self-Supervision and Generative Adversarial Network.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Annotation-Free Gliomas Segmentation Based on a Few Labeled General Brain Tumor Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
IEEE Trans. Medical Imaging, 2019
SIAM J. Imaging Sci., 2019
XQ-SR: Joint <i>x</i>-<i>q</i> space super-resolution with application to infant diffusion MRI.
Medical Image Anal., 2019
J. Comput. Phys., 2019
Distillation ≈ Early Stopping? Harvesting Dark Knowledge Utilizing Anisotropic Information Retrieval For Overparameterized Neural Network.
CoRR, 2019
Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View.
CoRR, 2019
Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Multiscale Multimodal Medical Imaging - First International Workshop, 2019
Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration.
Proceedings of the 7th International Conference on Learning Representations, 2019
JSR-Net: A Deep Network for Joint Spatial-radon Domain CT Reconstruction from Incomplete Data.
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
A Reweighted Joint Spatial-Radon Domain CT Image Reconstruction Model for Metal Artifact Reduction.
SIAM J. Imaging Sci., 2018
Frontiers Neuroinformatics, 2018
IEEE Access, 2018
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations.
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
SIAM J. Math. Anal., 2017
Multiscale Model. Simul., 2017
Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
SIAM J. Imaging Sci., 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2013
Binary Level-Set Shape Optimization Model and Algorithm for Volumetric Modulated Arc Therapy in Radiotherapy Treatment.
SIAM J. Sci. Comput., 2013
Math. Comput., 2013
An Efficient Algorithm for ℓ 0 Minimization in Wavelet Frame Based Image Restoration.
J. Sci. Comput., 2013
X-Ray CT Image Reconstruction via Wavelet Frame Based Regularization and Radon Domain Inpainting.
J. Sci. Comput., 2013
2011
J. Comput. Phys., 2011
2010
A New Multiscale Representation for Shapes and Its Application to Blood Vessel Recovery.
SIAM J. Sci. Comput., 2010
4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-local Regularization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
2006