Yangqin Feng
Scholar

Yangqin Feng

Google Scholar ID: 3Lz3KUwAAAAJ
A*STAR
Medical Image AnalysisComputer Vision
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
698
 
H-index
14
 
i10-index
15
 
Publications
20
 
Co-authors
0
 
Publications
2 items
Detecting Glaucoma Across Multi-ethnic Myopic and Non-Myopic Populations Using an Uncertainty-Aware Vision Transformer: A Multicentre Model Development and Validation Study
2026
Cited
0
Are Traditional Deep Learning Model Approaches as Effective as a Retinal-Specific Foundation Model for Ocular and Systemic Disease Detection?
2025
Cited
0
Resume
Academic Achievements
  • Published 'Single-domain generalization via path flatness-aware optimization of loss landscapes' in IEEE Transactions on Neural Networks and Learning Systems (2025)
  • Published 'Continuous disentangled joint space learning for domain generalization' in IEEE Transactions on Neural Networks and Learning Systems (2025)
  • Published 'Category-aware test-time training domain adaptation' in IEEE Conference on Artificial Intelligence (2024, Spotlight Paper)
  • Published 'Cost-sensitive distribution alignment for improving automated medical diagnosis using retinal fundus photography' in IEEE Conference on Artificial Intelligence (2024, Spotlight Paper)
  • Published 'MedNAS: Multi-scale training-free neural architecture search for medical image analysis' in IEEE Transactions on Evolutionary Computation (2024)
  • Published 'Geometric correspondence-based multimodal learning for ophthalmic image analysis' in IEEE Transactions on Medical Imaging (2024)
  • Published 'Consistent representation via contrastive learning for skin lesion diagnosis' in Computer Methods and Programs in Biomedicine (2023)
  • Published 'Minimal-supervised medical image segmentation via vector quantization memory' in MICCAI (2023)
  • Published 'Deep neural network augments performance of junior residents in diagnosing COVID-19 pneumonia on chest radiographs' in Diagnostics (2023)
  • Published 'Contrastive domain adaptation with consistency match for automated pneumonia diagnosis' in Medical Image Analysis (2023)
  • Published 'A feature space-restricted attention attack on medical deep learning systems' in IEEE Transactions on Cybernetics (2022)
  • Published 'Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images' in Medical Image Analysis (2022)
  • Published 'Diagnostic performance of a deep learning model deployed at a national Covid-19 screening facility for detection of pneumonia on frontal chest radiographs' in Healthcare (2022)