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
[IEEE-TMI] Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation
A new study on computational pathology from HKUST Smart Lab on permutable hybrid network for 3D volumetric medical image segmentation has been accepted by IEEE Transactions on Medical Imaging.
Last updated on 2025/01/15
[Academic Achievement] Prof. Hao Chen Named Highly Cited Researcher 2024
Prof. Hao Chen has been recognized as a Highly Cited Researcher for 2024 by Clarivate, highlighting his significant influence in Computer Science and Chemical and Biological Engineering.
Last updated on 2024/12/27
[IEEE-TMI] HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification
A new study on computational pathology from HKUST Smart Lab on multi-instance learning for hierarchical classification has been accepted by IEEE Transactions on Medical Imaging.
Last updated on 2024/12/27
[CSE Seminar] Prof. PAN Xiaochuan: Imaging of Multi Materials in Dual-Energy Computed Tomography
In this talk, Prof. Pan will discuss the possibility of obtaining accurately multi basis material images only from data collected in standard DECT.
Last updated on 2024/12/17
[Call for Participation] ISICDM 2024 Sub-Forum: The Medical Large Models Forum
Join us at the ISICDM 2024 Sub-Forum: The Medical Large Models Forum to explore cutting-edge research and applications in large-scale models for medical imaging and healthcare!
Last updated on 2024/12/15
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