Hang Zhang

According to our database, Hang Zhang authored at least 23 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

LARO: Learned acquisition and reconstruction optimization to accelerate quantitative susceptibility mapping.

Jinwei Zhang, Pascal Spincemaille, Hang Zhang, Thanh D. Nguyen, Chao Li, Jiahao Li, Ilhami Kovanlikaya, Mert R. Sabuncu, Yi Wang

NeuroImage, March, 2023

2021

Motion Artifact Reduction in Quantitative Susceptibility Mapping using Deep Neural Network.

Chao Li, Hang Zhang, Jinwei Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang

CoRR, 2021

NeRD: Neural Representation of Distribution for Medical Image Segmentation.

Hang Zhang, Rongguang Wang, Jinwei Zhang, Chao Li, Gufeng Yang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang

CoRR, 2021

Ensembling Low Precision Models for Binary Biomedical Image Segmentation.

Tianyu Ma, Hang Zhang, Hanley Ong, Amar Vora, Thanh D. Nguyen, Ajay Gupta, Yi Wang, Mert R. Sabuncu

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Hybrid optimization between iterative and network fine-tuning reconstructions for fast quantitative susceptibility mapping.

Jinwei Zhang, Hang Zhang, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction.

Jinwei Zhang, Hang Zhang, Chao Li, Pascal Spincemaille, Mert R. Sabuncu, Thanh D. Nguyen, Yi Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Geometric Loss For Deep Multiple Sclerosis Lesion Segmentation.

Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Efficient Folded Attention for Medical Image Reconstruction and Segmentation.

Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Fidelity imposed network edit (FINE) for solving ill-posed image reconstruction.

Jinwei Zhang, Zhe Liu, Shun Zhang, Hang Zhang, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang

NeuroImage, 2020

Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation.

Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang

CoRR, 2020

Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping.

Jinwei Zhang, Hang Zhang, Mert R. Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Extending LOUPE for K-Space Under-Sampling Pattern Optimization in Multi-coil MRI.

Jinwei Zhang, Hang Zhang, Alan Wang, Qihao Zhang, Mert R. Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang

Proceedings of the Machine Learning for Medical Image Reconstruction, 2020

Neural-ILT: Migrating ILT to Neural Networks for Mask Printability and Complexity Co-optimization.

Bentian Jiang, Lixin Liu, Yuzhe Ma, Hang Zhang, Bei Yu, Evangeline F. Y. Young

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

2019

RSANet: Recurrent Slice-Wise Attention Network for Multiple Sclerosis Lesion Segmentation.

Hang Zhang, Jinwei Zhang, Qihao Zhang, Jeremy Kim, Shun Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A fast machine learning-based mask printability predictor for OPC acceleration.

Bentian Jiang, Hang Zhang, Jinglei Yang, Evangeline F. Y. Young

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018

A New Regularized Matrix Discriminant Analysis (R-MDA) Enabled Human-Centered EEG Monitoring Systems.

Jie Su, Linbo Qing, Xiaohai He, Hang Zhang, Jing Zhou, Yonghong Peng

IEEE Access, 2018

Fast and Accurate Estimation of Quality of Results in High-Level Synthesis with Machine Learning.

Steve Dai, Yuan Zhou, Hang Zhang, Ecenur Ustun, Evangeline F. Y. Young, Zhiru Zhang

Proceedings of the 26th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2018

2017

Bilinear Lithography Hotspot Detection.

Hang Zhang, Fengyuan Zhu, Haocheng Li, Evangeline F. Y. Young, Bei Yu

Proceedings of the 2017 ACM on International Symposium on Physical Design, 2017

Minimizing Thermal Gradient and Pumping Power in 3D IC Liquid Cooling Network Design.

Gengjie Chen, Jian Kuang, Zhiliang Zeng, Hang Zhang, Evangeline F. Y. Young, Bei Yu

Proceedings of the 54th Annual Design Automation Conference, 2017

2016

Robust Matrix Regression.

Hang Zhang, Fengyuan Zhu, Shixin Li

CoRR, 2016

Enabling online learning in lithography hotspot detection with information-theoretic feature optimization.

Hang Zhang, Bei Yu, Evangeline F. Y. Young

Proceedings of the 35th International Conference on Computer-Aided Design, 2016

RippleFPGA: a routability-driven placement for large-scale heterogeneous FPGAs.

Chak-Wa Pui, Gengjie Chen, Wing-Kai Chow, Ka-Chun Lam, Jian Kuang, Peishan Tu, Hang Zhang, Evangeline F. Y. Young, Bei Yu

Proceedings of the 35th International Conference on Computer-Aided Design, 2016

VLSI layout hotspot detection based on discriminative feature extraction.

Hang Zhang, Haoyu Yang, Bei Yu, Evangeline F. Y. Young

Proceedings of the 2016 IEEE Asia Pacific Conference on Circuits and Systems, 2016