Hui Lin (林惠)

iVPL lab, Northwestern University

prof_pic.jpg

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 and Prof. Daniel Kim. My research focuses on deep learning and computer vision -based classification, detection, segmentation, and generation in manufacturing and medical imaging.

My first two years were spent studying automatic defect detection and thermal prediction during additive manufacturing; then, I worked on segmentation and unsupervised domain adaptation in MRI, CT, OCT, X-ray, etc. I am proficient in RNN, GRU, GNN, GAN, Transformer, 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.

Short resume

news

Oct 31, 2024 Our work on the FLARE 2024 Task3 at MICCAI 2024 was ranked 5th regarding the accuracy.
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.

selected publications

2024

  1. 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
  2. Usformer_challenge_dataset.gif
    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

2023

  1. 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

2020

  1. 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

2019

  1. 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