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)