Welcome to Smart Lab!
Smart Lab, led by Prof. Hao Chen, is committed to pushing the boundaries of trustworthy AI technologies for healthcare and science. Our research directions include large-scale models for healthcare, computer-assisted intervention, AI for science, and bioinformatics, etc. Our ultimate goal is to spearhead a transformative revolution in medical practices and scientific discoveries, paving the way for a brighter and healthier future.
Recent News
UG Students at HKUST SMART Lab Won Tse Cheuk Ng Tai Scholarship 2024
HKUST CSE UG student Mr. Runsheng LIU was selected as 2023-2024's Tse Cheuk Ng Tai Scholarship recipient with his UROP study titled 'Deep learning for medical image analysis'. Congratulations!
Last updated on 2024/09/27
[IEEE-TNNLS] Reference-based OCT Angiogram Super-resolution with Learnable Texture Generation
A new study on Optical Coherence Tomography Angiography (OCTA) image super-resolution from the HKUST Smart Lab has been accepted by the IEEE Transactions on Neural Networks and Learning Systems.
Last updated on 2024/09/19
[IEEE-TIP] Rethinking Self-training for Semi-supervised Landmark Detection: A Selection-free Approach
A new study on computational pathology from HKUST Smart Lab on semi-supervised landmark detection has been accepted by IEEE Transactions on Image Processing.
Last updated on 2024/09/16
[IEEE-TMI] Shapley Values-enabled Progressive Pseudo Bag Augmentation for Whole Slide Image Classification
A new study on computational pathology from HKUST Smart Lab on progressive pseudo bag augmentation based on Shapley values has been accepted by IEEE Transactions on Medical Imaging.
Last updated on 2024/09/14
[IEEE-TMI] Cohort-Individual Cooperative Learning for Multimodal Cancer Survival Analysis
A new study from the HKUST Smart Lab on multimodal medical data fusion related to cancer survival analysis has been accepted by IEEE Transactions on Medical Imaging.
Last updated on 2024/09/12
See all posts >