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Bin Dong 0001
Person information
- affiliation: Peking University, Beijing International Center for Mathematical Research, China
- affiliation: Peking University, Center for Data Science, Beijing, China
Other persons with the same name
- Bin Dong — disambiguation page
- Bin Dong 0002
— Lawrence Berkeley National Laboratory, Scientific Data Management Group, CA, USA
- Bin Dong 0003
- Bin Dong 0004 — Beihang University, Beijing, China
- Bin Dong 0005
- Bin Dong 0006 — DeepBlue Technology Company, Ltd., Shanghai, China
- Bin Dong 0007 — MEGVII Technology, Beijing, China
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2020 – today
- 2024
- [j28]Zhengyi Li
Solving the Boltzmann Equation with a Neural Sparse Representation. SIAM J. Sci. Comput. 46(2): 186- (2024) - [j27]Haocheng Ju
A comparative study of deep learning and iterative algorithms for joint channel estimation and signal detection in OFDM systems. Signal Process. 223: 109554 (2024) - [c35]Guoxiong Gao, Haocheng Ju, Jiedong Jiang, Zihan Qin, Bin Dong:
A Semantic Search Engine for Mathlib4. EMNLP (Findings) 2024: 8001-8013 - [c34]Heyun Chen, Zifan Chen, Jie Zhao, Haoshen Li, Jiazheng Li, Yiting Liu, Mingze Yuan, Peng Bao, Xinyu Nan, Bin Dong, Lei Tang, Li Zhang:
MSI-UNet: A Flexible UNet-Based Multi-Scale Interactive Framework for 3D Gastric Tumor Segmentation on CT Scans. ISBI 2024: 1-5 - [c33]Haoshen Li, Zifan Chen, Jie Zhao, Heyun Chen, Hexin Dong, Mingze Yuan, Bin Dong, Li Zhang:
Multi-Scale Clinical-Guided Binocular Fusion Framework for Predicting New-Onset Hypertension Over a Four-Year Period. ISBI 2024: 1-5 - [i48]Zhanhong Ye, Xiang Huang, Leheng Chen, Hongsheng Liu, Zidong Wang, Bin Dong:
PDEformer: Towards a Foundation Model for One-Dimensional Partial Differential Equations. CoRR abs/2402.12652 (2024) - [i47]Guoxiong Gao, Haocheng Ju, Jiedong Jiang, Zihan Qin, Bin Dong:
A Semantic Search Engine for Mathlib4. CoRR abs/2403.13310 (2024) - [i46]Zhanhong Ye, Xiang Huang, Leheng Chen, Zining Liu, Bingyang Wu, Hongsheng Liu, Zidong Wang, Bin Dong:
PDEformer-1: A Foundation Model for One-Dimensional Partial Differential Equations. CoRR abs/2407.06664 (2024) - [i45]Zifan Chen, Xinyu Nan, Jiazheng Li, Jie Zhao, Haifeng Li, Zilin Lin, Haoshen Li, Heyun Chen, Yiting Liu, Bin Dong, Li Zhang, Lei Tang:
PropSAM: A Propagation-Based Model for Segmenting Any 3D Objects in Multi-Modal Medical Images. CoRR abs/2408.13836 (2024) - [i44]Guoxiong Gao, Yutong Wang, Jiedong Jiang, Qi Gao, Zihan Qin, Tianyi Xu, Bin Dong:
Herald: A Natural Language Annotated Lean 4 Dataset. CoRR abs/2410.10878 (2024) - 2023
- [b1]Gaoyan Ou, Zhanxing Zhu, Bin Dong, Weinan E, Binyang Li, Shumin Shi:
Introduction to Data Science. WorldScientific 2023, ISBN 9789811263897, pp. 1-444 - [j26]Wei Wan, Yuejin Zhang, Chenglong Bao, Bin Dong, Zuoqiang Shi
A Scalable Deep Learning Approach for Solving High-Dimensional Dynamic Optimal Transport. SIAM J. Sci. Comput. 45(4): 544- (2023) - [c32]Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. CVPR 2023: 23879-23889 - [c31]Mingze Yuan, Yingda Xia, Xin Chen, Jiawen Yao, Junli Wang, Mingyan Qiu, Hexin Dong, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Ling Zhang:
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans. MICCAI (5) 2023: 146-156 - [c30]Hexin Dong, Jiawen Yao, Yuxing Tang, Mingze Yuan, Yingda Xia, Jian Zhou, Hong Lu, Jingren Zhou, Bin Dong, Le Lu, Zaiyi Liu, Li Zhang, Yu Shi
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer. MICCAI (5) 2023: 241-251 - [c29]Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li:
Unsupervised Image Denoising with Score Function. NeurIPS 2023 - [e4]Jonghye Woo, Alessa Hering, Wilson Silva
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings. Lecture Notes in Computer Science 14394, Springer 2023, ISBN 978-3-031-47424-8 [contents] - [i43]Yutong Xie, Minne Yuan, Bin Dong, Quanzheng Li:
Diffusion Model for Generative Image Denoising. CoRR abs/2302.02398 (2023) - [i42]Zhanhong Ye, Xiang Huang, Hongsheng Liu, Bin Dong:
Meta-Auto-Decoder: A Meta-Learning Based Reduced Order Model for Solving Parametric Partial Differential Equations. CoRR abs/2302.08263 (2023) - [i41]Zhengyi Li, Yanli Wang, Hongsheng Liu, Zidong Wang, Bin Dong:
Solving Boltzmann equation with neural sparse representation. CoRR abs/2302.09233 (2023) - [i40]Haocheng Ju, Haimiao Zhang, Lin Li, Xiao Li, Bin Dong:
A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection. CoRR abs/2303.03678 (2023) - [i39]Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. CoRR abs/2304.00212 (2023) - [i38]Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li:
Unsupervised Image Denoising with Score Function. CoRR abs/2304.08384 (2023) - [i37]Zifan Chen, Jiazheng Li, Jie Zhao, Yiting Liu, Hongfeng Li, Bin Dong, Lei Tang, Li Zhang:
propnet: Propagating 2D Annotation to 3D Segmentation for Gastric Tumors on CT Scans. CoRR abs/2305.17871 (2023) - [i36]Zhanhong Ye, Hongsheng Liu, Zidong Wang, Bin Dong:
Analysis of the Decoder Width for Parametric Partial Differential Equations. CoRR abs/2306.14390 (2023) - [i35]Mingze Yuan, Yingda Xia, Xin Chen, Jiawen Yao, Junli Wang, Mingyan Qiu, Hexin Dong, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Ling Zhang:
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans. CoRR abs/2307.04525 (2023) - [i34]Xiang Huang, Zhuoyuan Li, Hongsheng Liu, Zidong Wang, Hongye Zhou, Bin Dong, Bei Hua:
Learning to simulate partially known spatio-temporal dynamics with trainable difference operators. CoRR abs/2307.14395 (2023) - [i33]Hexin Dong, Jiawen Yao, Yuxing Tang, Mingze Yuan, Yingda Xia, Jian Zhou, Hong Lu, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Yu Shi
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-Phase CT by Integrating Neural Distance and Texture-Aware Transformer. CoRR abs/2308.00507 (2023) - [i32]Mingze Yuan, Peng Bao, Jiajia Yuan, Yunhao Shen, Zifan Chen, Yi Xie, Jie Zhao, Yang Chen, Li Zhang, Lin Shen, Bin Dong:
Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review. CoRR abs/2311.01918 (2023) - 2022
- [c28]Hexin Dong, Zifan Chen, Mingze Yuan, Yutong Xie, Jie Zhao, Fei Yu, Bin Dong, Li Zhang:
Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation. IJCAI 2022: 863-869 - [c27]Xiang Huang, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Bin Dong, Lei Chen:
A Universal PINNs Method for Solving Partial Differential Equations with a Point Source. IJCAI 2022: 3839-3846 - [c26]Mo Zhang, Bin Dong, Quanzheng Li:
Ms-Gwnn: Multi-Scale Graph Wavelet Neural Network for Breast Cancer Diagnosis. ISBI 2022: 1-5 - [c25]Mo Zhang, Bin Dong, Quanzheng Li:
Joint Attention for Medical Image Segmentation. ISBI 2022: 1-5 - [c24]Xiang Huang, Zhanhong Ye, Hongsheng Liu, Shi Ji, Zidong Wang, Kang Yang, Yang Li, Min Wang, Haotian Chu, Fan Yu, Bei Hua, Lei Chen, Bin Dong:
Meta-Auto-Decoder for Solving Parametric Partial Differential Equations. NeurIPS 2022 - [e3]Xiang Li
Multiscale Multimodal Medical Imaging - Third International Workshop, MMMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13594, Springer 2022, ISBN 978-3-031-18813-8 [contents] - [i31]Yutong Xie, Dufan Wu, Bin Dong, Quanzheng Li:
Trained Model in Supervised Deep Learning is a Conditional Risk Minimizer. CoRR abs/2202.03674 (2022) - [i30]Wei Wan, Yuejin Zhang, Chenglong Bao, Bin Dong, Zuoqiang Shi:
A scalable deep learning approach for solving high-dimensional dynamic optimal transport. CoRR abs/2205.07521 (2022) - [i29]Hexin Dong, Zifan Chen, Mingze Yuan, Yutong Xie, Jie Zhao, Fei Yu, Bin Dong, Li Zhang:
Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation. CoRR abs/2205.08083 (2022) - 2021
- [j25]Bin Dong, Zuowei Shen
Approximation from Noisy Data. SIAM J. Numer. Anal. 59(5): 2722-2745 (2021) - [j24]Haimiao Zhang
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction. IEEE Trans. Medical Imaging 40(2): 621-634 (2021) - [j23]Ti Bai
Deep Interactive Denoiser (DID) for X-Ray Computed Tomography. IEEE Trans. Medical Imaging 40(11): 2965-2975 (2021) - [c23]Fei Yu, Mo Zhang, Hexin Dong, Sheng Hu, Bin Dong, Li Zhang:
DAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator Attention and Self-Training. AAAI 2021: 10754-10762 - [c22]Ce Wang
Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation. MICCAI (6) 2021: 86-96 - [e2]Tanveer F. Syeda-Mahmood
Multimodal Learning for Clinical Decision Support - 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 13050, Springer 2021, ISBN 978-3-030-89846-5 [contents] - [i28]Ce Wang, Haimiao Zhang, Qian Li, Kun Shang, Yuanyuan Lyu, Bin Dong, S. Kevin Zhou:
Generalizable Limited-Angle CT Reconstruction via Sinogram Extrapolation. CoRR abs/2103.05255 (2021) - [i27]Hexin Dong, Fei Yu, Jie Zhao, Bin Dong, Li Zhang:
Unsupervised Domain Adaptation in Semantic Segmentation Based on Pixel Alignment and Self-Training. CoRR abs/2109.14219 (2021) - [i26]Xiang Huang, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Bingya Weng, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Lei Chen, Bin Dong:
Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks. CoRR abs/2111.01394 (2021) - [i25]Xiang Huang, Zhanhong Ye, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Bingya Weng, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Lei Chen, Bin Dong:
Meta-Auto-Decoder for Solving Parametric Partial Differential Equations. CoRR abs/2111.08823 (2021) - [i24]Qi Sun, Hexin Dong, Zewei Chen, Jiacheng Sun, Zhenguo Li, Bin Dong:
Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks. CoRR abs/2112.05387 (2021) - 2020
- [j22]Junyu Liu
Heating Load Forecasting for Combined Heat and Power Plants Via Strand-Based LSTM. IEEE Access 8: 33360-33369 (2020) - [j21]Bin Dong, Haocheng Ju, Yiping Lu, Zuoqiang Shi
CURE: Curvature Regularization for Missing Data Recovery. SIAM J. Imaging Sci. 13(4): 2169-2188 (2020) - [c21]Hexin Dong, Fei Yu, Han Jiang, Hua Zhang, Bin Dong, Quanzheng Li, Li Zhang:
Annotation-Free Gliomas Segmentation Based on a Few Labeled General Brain Tumor Images. ISBI 2020: 354-358 - [c20]Fei Yu, Hexin Dong, Mo Zhang, Jie Zhao, Bin Dong, Quanzheng Li, Li Zhang:
AF-SEG: An Annotation-Free Approach for Image Segmentation by Self-Supervision and Generative Adversarial Network. ISBI 2020: 1503-1507 - [c19]Mo Zhang, Bin Dong, Quanzheng Li:
Deep Active Contour Network for Medical Image Segmentation. MICCAI (4) 2020: 321-331 - [e1]Quanzheng Li
Multiscale Multimodal Medical Imaging - First International Workshop, MMMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings. Lecture Notes in Computer Science 11977, Springer 2020, ISBN 978-3-030-37968-1 [contents] - [i23]Chizhou Liu, Yunzhen Feng, Ranran Wang, Bin Dong:
Enhancing Certified Robustness of Smoothed Classifiers via Weighted Model Ensembling. CoRR abs/2005.09363 (2020) - [i22]Haimiao Zhang, Baodong Liu, Hengyong Yu, Bin Dong:
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction. CoRR abs/2006.00171 (2020) - [i21]Junyu Liu, Zichao Long, Ranran Wang, Jie Sun, Bin Dong:
RODE-Net: Learning Ordinary Differential Equations with Randomness from Data. CoRR abs/2006.02377 (2020) - [i20]Ziju Shen, Yufei Wang, Dufan Wu, Xu Yang, Bin Dong:
Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging. CoRR abs/2006.02420 (2020) - [i19]Yunzhen Feng, Runtian Zhai, Di He, Liwei Wang, Bin Dong:
Transferred Discrepancy: Quantifying the Difference Between Representations. CoRR abs/2007.12446 (2020) - [i18]Ti Bai, Biling Wang, Dan Nguyen, Bao Wang, Bin Dong, Wenxiang Cong, Mannudeep K. Kalra, Steve B. Jiang:
Deep Interactive Denoiser (DID) for X-Ray Computed Tomography. CoRR abs/2011.14873 (2020)
2010 – 2019
- 2019
- [j20]Zichao Long, Yiping Lu
PDE-Net 2.0: Learning PDEs from data with a numeric-symbolic hybrid deep network. J. Comput. Phys. 399 (2019) - [j19]Geng Chen
XQ-SR: Joint x-q space super-resolution with application to infant diffusion MRI. Medical Image Anal. 57: 44-55 (2019) - [j18]Chenglong Bao, Jae Kyu Choi, Bin Dong:
Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal. SIAM J. Imaging Sci. 12(1): 492-520 (2019) - [j17]Geng Chen
Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space. IEEE Trans. Medical Imaging 38(12): 2838-2848 (2019) - [c18]Haimiao Zhang, Bin Dong, Baodong Liu
JSR-Net: A Deep Network for Joint Spatial-radon Domain CT Reconstruction from Incomplete Data. ICASSP 2019: 3657-3661 - [c17]Xiaoshuai Zhang, Yiping Lu, Jiaying Liu, Bin Dong:
Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration. ICLR (Poster) 2019 - [c16]Yini Pan, Hongfeng Li, Lili Liu, Quanzheng Li, Xinlin Hou, Bin Dong:
aEEG Signal Analysis with Ensemble Learning for Newborn Seizure Detection. MMMI@MICCAI 2019: 76-84 - [c15]Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images. MICCAI (2) 2019: 714-722 - [c14]Dinghuai Zhang, Tianyuan Zhang, Yiping Lu, Zhanxing Zhu, Bin Dong:
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle. NeurIPS 2019: 227-238 - [i17]Bin Dong, Haocheng Ju, Yiping Lu
CURE: Curvature Regularization For Missing Data Recovery. CoRR abs/1901.09548 (2019) - [i16]Dinghuai Zhang, Tianyuan Zhang, Yiping Lu
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle. CoRR abs/1905.00877 (2019) - [i15]Yufei Wang, Ziju Shen, Zichao Long, Bin Dong:
Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning. CoRR abs/1905.11079 (2019) - [i14]Yiping Lu
Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View. CoRR abs/1906.02762 (2019) - [i13]Haimiao Zhang, Bin Dong:
A Review on Deep Learning in Medical Image Reconstruction. CoRR abs/1906.10643 (2019) - [i12]Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang, Bin Dong, Quanzheng Li, Li Zhang:
Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images. CoRR abs/1907.11483 (2019) - [i11]Bin Dong, Jikai Hou, Yiping Lu
Distillation ≈ Early Stopping? Harvesting Dark Knowledge Utilizing Anisotropic Information Retrieval For Overparameterized Neural Network. CoRR abs/1910.01255 (2019) - 2018
- [j16]Zenghui Wei, Baodong Liu
A Joint Reconstruction and Segmentation Method for Limited-Angle X-Ray Tomography. IEEE Access 6: 7780-7791 (2018) - [j15]Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap:
Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space. Frontiers Neuroinformatics 12: 57 (2018) - [j14]Haimiao Zhang, Bin Dong, Baodong Liu
A Reweighted Joint Spatial-Radon Domain CT Image Reconstruction Model for Metal Artifact Reduction. SIAM J. Imaging Sci. 11(1): 707-733 (2018) - [c13]Zichao Long, Yiping Lu, Xianzhong Ma, Bin Dong:
PDE-Net: Learning PDEs from Data. ICLR (Workshop) 2018 - [c12]Yiping Lu, Aoxiao Zhong, Quanzheng Li, Bin Dong:
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations. ICLR (Workshop) 2018 - [c11]Zichao Long, Yiping Lu, Xianzhong Ma, Bin Dong:
PDE-Net: Learning PDEs from Data. ICML 2018: 3214-3222 - [c10]Yiping Lu, Aoxiao Zhong, Quanzheng Li, Bin Dong:
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations. ICML 2018: 3282-3291 - [c9]Dufan Wu, Kyung Sang Kim, Bin Dong, Georges El Fakhri, Quanzheng Li:
End-to-End Lung Nodule Detection in Computed Tomography. MLMI@MICCAI 2018: 37-45 - [i10]Xiaoshuai Zhang, Yiping Lu
Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method for Image Restoration. CoRR abs/1805.07709 (2018) - [i9]Chenglong Bao, Jae Kyu Choi, Bin Dong:
Whole Brain Susceptibility Mapping Using Harmonic Incompatibility Removal. CoRR abs/1805.12521 (2018) - [i8]Haimiao Zhang, Bin Dong, Baodong Liu:
JSR-Net: A Deep Network for Joint Spatial-Radon Domain CT Reconstruction from incomplete data. CoRR abs/1812.00510 (2018) - [i7]Zichao Long, Yiping Lu
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network. CoRR abs/1812.04426 (2018) - 2017
- [j13]Bin Dong, Qingtang Jiang
Image Restoration: Wavelet Frame Shrinkage, Nonlinear Evolution PDEs, and Beyond. Multiscale Model. Simul. 15(1): 606-660 (2017) - [j12]Bin Dong, Zuowei Shen
Image Restoration: A General Wavelet Frame Based Model and Its Asymptotic Analysis. SIAM J. Math. Anal. 49(1): 421-445 (2017) - [c8]Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap:
q-Space Upsampling Using x-q Space Regularization. MICCAI (1) 2017: 620-628 - [c7]Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap:
Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI. MICCAI (1) 2017: 629-637 - [i6]Zichao Long, Yiping Lu
PDE-Net: Learning PDEs from Data. CoRR abs/1710.09668 (2017) - [i5]Yiping Lu
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations. CoRR abs/1710.10121 (2017) - [i4]Dufan Wu, Kyung Sang Kim, Bin Dong, Quanzheng Li:
End-to-End Abnormality Detection in Medical Imaging. CoRR abs/1711.02074 (2017) - 2016
- [j11]Jiulong Liu, Xiaoqun Zhang, Bin Dong, Zuowei Shen
A Wavelet Frame Method with Shape Prior for Ultrasound Video Segmentation. SIAM J. Imaging Sci. 9(2): 495-519 (2016) - [c6]Pew-Thian Yap, Bin Dong, Yong Zhang, Dinggang Shen:
Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation. MICCAI (3) 2016: 561-569 - [i3]Bin Dong, Zuowei Shen, Peichu Xie:
Image Restoration: A General Wavelet Frame Based Model and Its Asymptotic Analysis. CoRR abs/1602.05332 (2016) - 2013
- [j10]Bin Dong, Jia Li, Zuowei Shen
X-Ray CT Image Reconstruction via Wavelet Frame Based Regularization and Radon Domain Inpainting. J. Sci. Comput. 54(2-3): 333-349 (2013) - [j9]Bin Dong, Yong Zhang:
An Efficient Algorithm for ℓ 0 Minimization in Wavelet Frame Based Image Restoration. J. Sci. Comput. 54(2-3): 350-368 (2013) - [j8]Yong Zhang, Bin Dong, Zhaosong Lu
ℓ0 Minimization for wavelet frame based image restoration. Math. Comput. 82(282): 995-1015 (2013) - [j7]Li-Tien Cheng, Bin Dong, Chunhua Men, Xun Jia, Steve B. Jiang:
Binary Level-Set Shape Optimization Model and Algorithm for Volumetric Modulated Arc Therapy in Radiotherapy Treatment. SIAM J. Sci. Comput. 35(6) (2013) - 2012
- [j6]Daren Lee, Ivo D. Dinov
CUDA optimization strategies for compute- and memory-bound neuroimaging algorithms. Comput. Methods Programs Biomed. 106(3): 175-187 (2012) - [c5]Jian Ye, Igor Yanovsky
Multigrid Narrow Band Surface Reconstruction via Level Set Functions. ISVC (1) 2012: 61-70 - 2011
- [j5]Bin Dong, Zuowei Shen
Wavelet frame based surface reconstruction from unorganized points. J. Comput. Phys. 230(22): 8247-8255 (2011) - [i2]Stanley J. Osher, Yu Mao, Bin Dong, Wotao Yin:
Fast Linearized Bregman Iteration for Compressive Sensing and Sparse Denoising. CoRR abs/1104.0262 (2011) - [i1]Yong Zhang, Bin Dong, Zhaosong Lu:
ℓ0 Minimization for Wavelet Frame Based Image Restoration. CoRR abs/1105.2782 (2011) - 2010
- [j4]Yu Mao, Bin Dong, Stanley J. Osher:
A Nonlinear PDE-Based Method for Sparse Deconvolution. Multiscale Model. Simul. 8(3): 965-976 (2010) - [j3]Bin Dong, Aichi Chien, Zuowei Shen
A New Multiscale Representation for Shapes and Its Application to Blood Vessel Recovery. SIAM J. Sci. Comput. 32(4): 1724-1739 (2010) - [c4]Xun Jia, Yifei Lou
4D Computed Tomography Reconstruction from Few-Projection Data via Temporal Non-local Regularization. MICCAI (1) 2010: 143-150
2000 – 2009
- 2009
- [c3]Bin Dong, Eric Savitsky, Stanley J. Osher:
A Novel Method for Enhanced Needle Localization Using Ultrasound-Guidance. ISVC (1) 2009: 914-923 - [c2]Bin Dong, Yu Mao, Ivo D. Dinov
Wavelet-Based Representation of Biological Shapes. ISVC (1) 2009: 955-964 - 2008
- [j2]Bin Dong, Jian Ye, Stanley J. Osher, Ivo D. Dinov
Level Set Based Nonlocal Surface Restoration. Multiscale Model. Simul. 7(2): 589-598 (2008) - [c1]Bin Dong, Aichi Chien, Yu Mao, Jian Ye, Stanley J. Osher:
Level Set Based Surface Capturing in 3D Medical Images. MICCAI (1) 2008: 162-169 - 2006
- [j1]Bin Dong, Zuowei Shen
Construction of biorthogonal wavelets from pseudo-splines. J. Approx. Theory 138(2): 211-231 (2006)
Coauthor Index
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