Hang Zhang

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 28

Top Topics

Lesion Segmentation

Image Reconstruction

Top Venues

Publications

Jinwei Zhang, Pascal Spincemaille, Hang Zhang, Thanh D. Nguyen, Chao Li, Jiahao Li, Ilhami Kovanlikaya, Mert R. Sabuncu, Yi Wang
LARO: Learned acquisition and reconstruction optimization to accelerate quantitative susceptibility mapping. NeuroImage 268 (2023)
Jinwei Zhang, Pascal Spincemaille, Hang Zhang, Thanh D. Nguyen, Chao Li, Jiahao Li, Ilhami Kovanlikaya, Mert R. Sabuncu, Yi Wang
LARO: Learned Acquisition and Reconstruction Optimization to accelerate Quantitative Susceptibility Mapping. CoRR (2022)
Chao Li, Hang Zhang, Jinwei Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
Motion Artifact Reduction in Quantitative Susceptibility Mapping using Deep Neural Network. CoRR (2021)
Tianyu Ma, Hang Zhang, Hanley Ong, Amar Vora, Thanh D. Nguyen, Ajay Gupta, Yi Wang, Mert R. Sabuncu
Ensembling Low Precision Models for Binary Biomedical Image Segmentation. WACV (2021)
Jinwei Zhang, Hang Zhang, Chao Li, Pascal Spincemaille, Mert R. Sabuncu, Thanh D. Nguyen, Yi Wang
Temporal Feature Fusion with Sampling Pattern Optimization for Multi-echo Gradient Echo Acquisition and Image Reconstruction. MICCAI (6) (2021)
Jinwei Zhang, Hang Zhang, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang
Hybrid optimization between iterative and network fine-tuning reconstructions for fast quantitative susceptibility mapping. MIDL (2021)
Hang Zhang, Rongguang Wang, Jinwei Zhang, Chao Li, Gufeng Yang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
NeRD: Neural Representation of Distribution for Medical Image Segmentation. CoRR (2021)
Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
Efficient Folded Attention for Medical Image Reconstruction and Segmentation. AAAI (2021)
Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
Geometric Loss For Deep Multiple Sclerosis Lesion Segmentation. ISBI (2021)
Jinwei Zhang, Hang Zhang, Alan Wang, Qihao Zhang, Mert R. Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI. CoRR (2020)
Hang Zhang, Jinwei Zhang, Qihao Zhang, Jeremy Kim, Shun Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang
RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation. CoRR (2020)
Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation. CoRR (2020)
Jinwei Zhang, Hang Zhang, Mert R. Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
Bayesian Learning of Probabilistic Dipole Inversion for Quantitative Susceptibility Mapping. MIDL (2020)
Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
Geometric Loss for Deep Multiple Sclerosis lesion Segmentation. CoRR (2020)
Bentian Jiang, Lixin Liu, Yuzhe Ma, Hang Zhang, Bei Yu, Evangeline F. Y. Young
Neural-ILT: Migrating ILT to Neural Networks for Mask Printability and Complexity Co-optimization. ICCAD (2020)
Jinwei Zhang, Hang Zhang, Alan Wang, Qihao Zhang, Mert R. Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
Extending LOUPE for K-Space Under-Sampling Pattern Optimization in Multi-coil MRI. MLMIR@MICCAI (2020)
Jinwei Zhang, Zhe Liu, Shun Zhang, Hang Zhang, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang
Fidelity imposed network edit (FINE) for solving ill-posed image reconstruction. NeuroImage 211 (2020)
Tianyu Ma, Hang Zhang, Hanley Ong, Amar Vora, Thanh D. Nguyen, Ajay Gupta, Yi Wang, Mert R. Sabuncu
Ensembling Low Precision Models for Binary Biomedical Image Segmentation. CoRR (2020)
Hang Zhang, Jinwei Zhang, Qihao Zhang, Jeremy Kim, Shun Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang
RSANet: Recurrent Slice-Wise Attention Network for Multiple Sclerosis Lesion Segmentation. MICCAI (3) (2019)
Bentian Jiang, Hang Zhang, Jinglei Yang, Evangeline F. Y. Young
A fast machine learning-based mask printability predictor for OPC acceleration. ASP-DAC (2019)
Jie Su, Linbo Qing, Xiaohai He, Hang Zhang, Jing Zhou, Yonghong Peng
A New Regularized Matrix Discriminant Analysis (R-MDA) Enabled Human-Centered EEG Monitoring Systems. IEEE Access 6 (2018)
Steve Dai, Yuan Zhou, Hang Zhang, Ecenur Ustun, Evangeline F. Y. Young, Zhiru Zhang
Fast and Accurate Estimation of Quality of Results in High-Level Synthesis with Machine Learning. FCCM (2018)
Hang Zhang, Fengyuan Zhu, Haocheng Li, Evangeline F. Y. Young, Bei Yu
Bilinear Lithography Hotspot Detection. ISPD (2017)
Gengjie Chen, Jian Kuang, Zhiliang Zeng, Hang Zhang, Evangeline F. Y. Young, Bei Yu
Minimizing Thermal Gradient and Pumping Power in 3D IC Liquid Cooling Network Design. DAC (2017)
Hang Zhang, Haoyu Yang, Bei Yu, Evangeline F. Y. Young
VLSI layout hotspot detection based on discriminative feature extraction. APCCAS (2016)
Hang Zhang, Bei Yu, Evangeline F. Y. Young
Enabling online learning in lithography hotspot detection with information-theoretic feature optimization. ICCAD (2016)
Chak-Wa Pui, Gengjie Chen, Wing-Kai Chow, Ka-Chun Lam, Jian Kuang, Peishan Tu, Hang Zhang, Evangeline F. Y. Young, Bei Yu
RippleFPGA: a routability-driven placement for large-scale heterogeneous FPGAs. ICCAD (2016)
Hang Zhang, Fengyuan Zhu, Shixin Li
Robust Matrix Regression. CoRR (2016)