Hang Zhang

M.Phil. (CUHK)

B.S. (SCU)

hz459[at]cornell.edu

Working on exciting AI research in medicine, if you are interested in collaborating, please reach out!

About

Currently, my research focuses on developing neural network and machine learning algorithms, with a particular emphasis on practical applications in medical image analysis. This includes image registration, segmentation, classification, and solving inverse problems. I am passionately dedicated to building Ultrahand, an innovative neuralized tool designed to bridge the gap between human and machine intelligence, enhancing clinical translations and outcomes.

Papers (Full List)

2024

[P]

Encoder-Only Image Registration,

Xiang Chen, Renjiu Hu, Min Liu, Yuxi Zhang, Yaonan Wang, Jiacheng Wang, and Hang Zhang*

IEEE Transactions on Medical Imaging (TMI), 2024. (Under Review; 2nd Place, Learn2Reg 2024 Task 2)

* denotes corresponding author

[pdf][Learn2Reg]

[P]

Neural Affine Optimization for Image Registration,

Hang Zhang*, Jiacheng Wang, Xiang Chen, Renjiu Hu, Min Liu, Yaonan Wang, Rongguang Wang, Gaolei Li, and Jinming Duan

IEEE Transactions on Medical Imaging (TMI), 2024. (Under Review; 2nd Place, Learn2Reg 2024 Task 3)

* denotes corresponding author

[pdf][proj][code][Learn2Reg]

[P]

Integrating Polar Accumulator Grid into Transformer for Image Segmentation,

Xiaodong Luo, Yiping Li, Xiang Chen, Renjiu Hu, Dongdong Liu, Gaolei Li, and Hang Zhang*

Neural Networks, 2024. (Under Review)

* denotes corresponding author

[pdf]

[P]

Slicer Networks,

Hang Zhang*, Renjiu Hu, Xiang Chen, Rongguang Wang, Dongdong Liu, and Gaolei Li

arXiv Preprint, 2024.

* denotes corresponding author

[pdf][code]

[J]

Spatially Covariant Image Registration with Text Prompts,

Xiang Chen, Min Liu, Rongguang Wang, Renjiu Hu, Dongdong Liu, Gaolei Li, Yaonan Wang, and Hang Zhang*

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024.

* denotes corresponding author

[pdf][code]

[J]

Multi-Echo Complex Quantitative Susceptibility Mapping and Quantitative Blood Oxygen Level Dependent Magnitude (mcQSM+qBOLD or mcQQ) for Oxygen Extraction Fraction (OEF) Mapping,

Junghun Cho, Jinwei Zhang, Pascal Spincemaille, Hang Zhang, Thanh D. Nguyen, Shun Zhang, Ajay Gupta, and Yi Wang

Bioengineering, 2024.

[pdf]

[C]

MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters ,

Hang Zhang*, Xiang Chen, Renjiu Hu, Dongdong Liu, Gaolei Li, and Rongguang Wang

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Marrakesh, Morocco, Oct. 6-10, 2024. (Early Accept)

* denotes corresponding author

[pdf][code]

Selected Honors & Awards

Best Paper Award Finalist at ISBI 2021.

Best Short Paper Award at FCCM 2018.

Best Paper Award at ISPD 2017.

Merit-based Fellowship at Cornell.

Full Studentship at CUHK.

Talents Project at Yuzhang Wu Honors College of SCU (Top 0.1%).

Services

Teaching Assistant

2015-2016 fall CUHK ENGG 2440A Discrete Mathematics for Engineers