Qiushi Nie

Qiushi Nie

he/him

He is still on his way struggling.

Qiushi Nie šŸ¤—

Hi there, welcome!

Iā€™m Qiushi Nie (聂ē§‹å®ž), currently pursuing masterā€™s degree at Southern University of Science and Technology (SUSTech) in the iMED research group supervised by Jiang Liu. I received my B.Eng. in Computer Science and Technology from SUSTech in 2022.

My research goal is to develop deep learning algorithms that can be applied to medical images to assist doctors in diagnosis and surgical planning and benefit peopleā€™s health. To this end, my interests lie at the intersection of deep learning, medical image analysis, and computer vision. Currently, Iā€™m working on Optical Coherence Tomography (OCT) segmentation.

As this is the last year of my masterā€™s degree, I am now actively looking for PhD opportunities!

Research Interests šŸ’»

  • Medical Image Analysis, Medical Image Registration, Computer Vision

Education šŸ›

  • Southern University of Science and Technology, Shenzhen, China (09/2022 - 06/2025 (Expected))
    • M.S. in Electronic Science and Technology
    • GPA: 3.68/4.0
    • Advisor: Jiang Liu
  • Southern University of Science and Technology, Shenzhen, China (09/2018 - 06/2022)
    • B.Eng. in Computer Science and Technology
    • GPA: 3.86/4.0 (ranking ~5%)
    • Advisor: Jiang Liu

Publications šŸ“ƒ

[1] Nie, Q., Zhang, X., Hu, Y. et al. Medical image registration and its application in retinal images: a review. Vis. Comput. Ind. Biomed. Art 7, 21 (2024). https://doi.org/10.1186/s42492-024-00173-8 (Accepted)

[2] Nie, Q., Zhang, X., Chen, C. et al. Reparameterized multi-scale transformer for deformable retinal image registration. Mach. Intell. Res. (2024). https://doi.org/10.1007/s11633-024-1525-1 (GitHub) (Accepted)

[3] Zhang, X., Nie, Q., Xiao, Z., et al. Dual-view pyramid pooling in deep neural networks for improved medical image classification and confidence calibration. (2024) (Under Review, arXiv preprint available: https://arxiv.org/abs/2408.02906)

[4] Liu, J., Li S., Nie, Q., Zhang, X. 多åŖ’体ę™ŗčƒ½č®”ē®—ļ¼ˆMultimedia Intelligent Computingļ¼‰ (2024) (Manuscript under review, Chinese Textbook)

[5] Zhou, X., Hao, L., Nie, Q., et al. A novel multi-focus fusion network for retinal microsurgery. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). IEEE, 2022: 1-5. (Accepted)

[6] Hu, Y., Dong, S., Gong, M., Nie, Q., Liu, J. Self-Supervised Structure-Preserved Image Registration Framework for Multimodal Retinal Images. 2023 6th International Conference on Information Communication and Signal Processing (ICICSP). IEEE, 2023: 134-138. (Accepted)

Honors & Awards šŸ†

  • [2018-2020] The second prize of outstanding student scholarship in SUSTech
  • [2020-2021] The first prize of outstanding student scholarship in SUSTech
  • [2022] The Outstanding Graduates Prize in the Department of Computer Science and Engineering, SUSTech
  • [2022] The Top Ten Graduates Nomination Award in SUSTech
  • [2023] The Star of iMED Award (for those who contributed most in my research group iMED)
  • [2021-2023] The Outstanding Teaching Assistant in SUSTech

Highlights

Remarkably, I was teaching Java in SUSTech as a tutor and gained many compliments and support. Until now, nearly 1,600+ students (40% of total undergraduates) in SUSTech have taken my classes. And Iā€™m enjoying teaching and helping noobs with fixing their bugs.

Hobbies

Beyond academics, I have a wide range of interests. I enjoy singing and sometimes rap. I have performed on many big stages (though they werenā€™t actually that big, haha).

Recently, Iā€™ve become fascinated with board games, particularly strategy ones like Ark Nova, for their strategic depth and requirement for long-term planning and rational competition.