13 citations · 29 across the 9 of their papers we have counts for
9 papers
Towards Next-Generation Intelligent Maintenance: Collaborative Fusion of Large and Small Models
Xiaoyi Yuan, Qiming Huang, Mingqing Guo +4
With the rapid advancement of intelligent technologies, collaborative frameworks integrating large and small models have emerged as a promising approach for enhancing industrial ma…
GAME: Generalized deep learning model towards multimodal data integration for early screening of adolescent mental disorders
Zhicheng Du, Chenyao Jiang, Xi Yuan +10
The timely identification of mental disorders in adolescents is a global public health challenge.Single factor is difficult to detect the abnormality due to its complex and subtle…
Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning
Yiman Liu, Qiming Huang, Xiaoxiang Han +9
Purpose: Congenital heart defect (CHD) is the most common birth defect. Thoracic echocardiography (TTE) can provide sufficient cardiac structure information, evaluate hemodynamics…
Futuristic Variations and Analysis in Fundus Images Corresponding to Biological Traits
Muhammad Hassan, Hao Zhang, Ahmed Fateh Ameen +14
Fundus image captures rear of an eye, and which has been studied for the diseases identification, classification, segmentation, generation, and biological traits association using…
DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation
Feilong Tang, Qiming Huang, Jinfeng Wang +3
Transformer-based models have been widely demonstrated to be successful in computer vision tasks by modelling long-range dependencies and capturing global representations. However,…
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…
Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference
Yang Liu, Ersi Zhang, Lulu Xu +13
Deep learning techniques have shown great potential in medical image processing, particularly through accurate and reliable image segmentation on magnetic resonance imaging (MRI) s…
Stepwise Feature Fusion: Local Guides Global
Jinfeng Wang, Qiming Huang, Feilong Tang +3
Colonoscopy, currently the most efficient and recognized colon polyp detection technology, is necessary for early screening and prevention of colorectal cancer. However, due to the…
Model-Free Sure Screening via Maximum Correlation
Qiming Huang, Yu Zhu
We consider the problem of screening features in an ultrahigh-dimensional setting. Using maximum correlation, we develop a novel procedure called MC-SIS for feature screening, and…