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 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.
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
- ISBIBrighteye: Glaucoma Screening with Color Fundus Photographs based on Vision Transformer2024 IEEE International Symposium on Biomedical Imaging (ISBI), 2024
2023
- MICAAI Chall.StenUNet: Automatic Stenosis Detection from X-ray Coronary AngiographyarXiv preprint arXiv:2310.14961, 2023
2020
- IEEE TASEDefect image sample generation with GAN for improving defect recognitionIEEE Transactions on Automation Science and Engineering, 2020
2019
- J. Intell. Manuf.Automated defect inspection of LED chip using deep convolutional neural networkJournal of Intelligent Manufacturing, 2019