most citedNeuro-Symbolic Learning: Principles and Applications in Ophthalmology

7 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG20232 cited

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…

cs.CV20231 cited

Prompt-enhanced Hierarchical Transformer Elevating Cardiopulmonary Resuscitation Instruction via Temporal Action Segmentation

Yang Liu, Xiaoyun Zhong, Shiyao Zhai +10

The vast majority of people who suffer unexpected cardiac arrest are performed cardiopulmonary resuscitation (CPR) by passersby in a desperate attempt to restore life, but endeavor…

eess.IV20233 cited

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…

eess.IV2023

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…

cs.CV20227 cited

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…