Hui Lin (林惠)

Tech M470

2145 Sheridan Road

Evanston, IL 60208

I am a Ph.D. candidate at the iVPL lab at Northwestern University, supervised by Prof. Aggelos Katsaggelos. My research focuses on deep learning and computer vision-based detection, segmentation, and generation in the areas of manufacturing and medical imaging. My first two years were spent studying automatic defect detection and thermal prediction during additive manufacturing; then, I worked on organ segmentation and unsupervised domain adaptation in MRI, CT, OCT, X-ray, etc.

Previously, I obtained a master’s degree in Mechanical Engineering from Huazhong University of Science and Technology (HUST) in 2019, supervised by Prof. Bin Li and Prof. Xinggang Wang. I received a Bachelor’s degree in Materials Processing and Control Engineering from Qiming College, HUST, in 2016.

Hui Lin’s CV.

news

Sep 15, 2024	Our work on the Track MyoPS++ CARE 2024 Challenge at MICCAI 2024 titled GenSegNet: Leveraging Synthetic Sequences and Pseudo Labels for Multi-Sequence Myocardial Pathology Segmentation, has been submitted.
Sep 15, 2024	Our work on the FLARE 2024 Task3 at MICCAI 2024 titled DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning, has been submitted.
Aug 31, 2024	I’ve completed my three-month research internship at the Health Lab of OPPO US Research Center this summer! Our work analyzes wrist-collected PPG data for continuous hypertension risk screening. The work will soon be summarized into a paper. Stay tuned!
Jun 3, 2024	I am doing a research internship in the Health Lab at OPPO US Research Center this summer! The interesting research topic is DL-based blood pressure monitoring using PPG signals from wearables.
May 28, 2024	We were ranked 5th among all 324 participants in the Justified Referral in AI Glaucoma Screening (JustRAIGS) challenge at ISBI 2024 !

selected publications

2024

ISBI

Brighteye: Glaucoma Screening with Color Fundus Photographs based on Vision Transformer

Hui Lin, Charilaos Apostolidis, and Aggelos K Katsaggelos

2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024

Bib

@article{lin2024brighteye,
  title = {Brighteye: Glaucoma Screening with Color Fundus Photographs based on Vision Transformer},
  author = {Lin, Hui and Apostolidis, Charilaos and Katsaggelos, Aggelos K},
  journal = {2024 IEEE International Symposium on Biomedical Imaging (ISBI)},
  year = {2024},
}

Usformer: A small network for left atrium segmentation of 3D LGE MRI

Hui Lin, Santiago López-Tapia, Florian Schiffers, and 8 more authors

Heliyon, 2024

Bib Slides

@article{lin2024usformer,
  title = {Usformer: A small network for left atrium segmentation of 3D LGE MRI},
  author = {Lin, Hui and L{\'o}pez-Tapia, Santiago and Schiffers, Florian and Wu, Yunan and Gunasekaran, Suvai and Hwang, Julia and Bishara, Dima and Kholmovski, Eugene and Elbaz, Mohammed and Passman, Rod S and others},
  journal = {Heliyon},
  volume = {10},
  number = {7},
  year = {2024},
  publisher = {Elsevier},
  video = {https://www.youtube.com/watch?v=4Mu5rgfUwoE},
  google_scholar_id = {QyVjEncAAAAJ}
}

2023

MICAAI Chall.

StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography

Hui Lin, Tom Liu, Aggelos Katsaggelos, and 1 more author

arXiv preprint arXiv:2310.14961, 2023

Bib

@article{lin2023stenunet,
  title = {StenUNet: Automatic Stenosis Detection from X-ray Coronary Angiography},
  author = {Lin, Hui and Liu, Tom and Katsaggelos, Aggelos and Kline, Adrienne},
  journal = {arXiv preprint arXiv:2310.14961},
  year = {2023},
}

2020

IEEE TASE

Defect image sample generation with GAN for improving defect recognition

Shuanlong Niu, Bin Li, Xinggang Wang, and 1 more author

IEEE Transactions on Automation Science and Engineering, 2020

Bib

@article{niu2020defect,
  title = {Defect image sample generation with GAN for improving defect recognition},
  author = {Niu, Shuanlong and Li, Bin and Wang, Xinggang and Lin, Hui},
  journal = {IEEE Transactions on Automation Science and Engineering},
  volume = {17},
  number = {3},
  pages = {1611--1622},
  year = {2020},
  publisher = {IEEE},
  dimensions = {true},
}

2019

J. Intell. Manuf.

Automated defect inspection of LED chip using deep convolutional neural network

Hui Lin, Bin Li, Xinggang Wang, and 2 more authors

Journal of Intelligent Manufacturing, 2019

Bib

@article{lin2019automated,
  title = {Automated defect inspection of LED chip using deep convolutional neural network},
  author = {Lin, Hui and Li, Bin and Wang, Xinggang and Shu, Yufeng and Niu, Shuanglong},
  journal = {Journal of Intelligent Manufacturing},
  volume = {30},
  pages = {2525--2534},
  year = {2019},
  publisher = {Springer},
  dimensions = {true},
}