News
Exploring Explainable AI in the Era of Foundation Models: Initial Efforts by HKUST Smart Lab in Healthcare
HKUST Smart Lab has made significant progress in the field of explainable AI in healthcare, with research outcomes published in top international journals and conferences such as Nature Communications, AAAI, ECCV, ICML, and MICCAI.
Last updated on 2024/07/19
[MICCAI 2024 Paper] MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology
Our study on multiple instance learning in computational pathology adapting the Mamba framework has been accepted at MICCAI 2024.
Last updated on 2024/07/15
[MICCAI 2024 Paper] Histopathology Report Generation via Local-global Feature Encoding and Cross-modal Context Interaction
Our study on medical report generation has been accepted for presentation at MICCAI 2024.
Last updated on 2024/07/12
[MICCAI 2024 Paper] Multimodal Hybrid Expert Model for Whole Slide Image and Gene Sequence Survival Analysis
Our paper on multimodal hybrid expert model for whole slide image and gene sequence survival analysis has been accepted by MICCAI 2024.
Last updated on 2024/07/09
VALSE Webinar: Computer-Assisted Intervention and Navigation: Challenges and Future Directions
Join us for a VALSE Webinar on Computer-Assisted Intervention and Navigation: Challenges and Future Directions on July 10, 2024 at 20:00 (Beijing Time).
Last updated on 2024/07/04