Publications (5)
TokenSeg: Efficient 3D Medical Image Segmentation via Hierarchical Visual Token Compression
Sen Zeng, Hong Zhou, Zheng Zhu +1
Three-dimensional medical image segmentation is a fundamental yet computationally demanding task due to the cubic growth of voxel processing and the redundant computation on homoge…
Perspective+ Unet: Enhancing Segmentation with Bi-Path Fusion and Efficient Non-Local Attention for Superior Receptive Fields
Jintong Hu, Siyan Chen, Zhiyi Pan +2
Precise segmentation of medical images is fundamental for extracting critical clinical information, which plays a pivotal role in enhancing the accuracy of diagnoses, formulating e…
Spatial Multi-Task Learning for Breast Cancer Molecular Subtype Prediction from Single-Phase DCE-MRI
Sen Zeng, Hong Zhou, Zheng Zhu +1
Accurate molecular subtype classification is essential for personalized breast cancer treatment, yet conventional immunohistochemical analysis relies on invasive biopsies and is pr…
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology
Muhammad Hassan, Haifei Guan, Aikaterini Melliou +24
Neural networks have been rapidly expanding in recent years, with novel strategies and applications. However, challenges such as interpretability, explainability, robustness, safet…
Biocompatible wearable touch panel based on ionically conductive organic hydrogels with anti-freezing, anti-dehydration, self-healing, and underwater adhesion properties
Zhenglin Chen, Jiaqi Yang, Likun Zhang +16
Next-generation touch panels are poised to benefit from the use of stretchable and transparent soft ionic conductors, but these materials face several challenges in practical appli…