Deep learning has made significant progress in drug-target interaction (DTI) prediction. However, most existing approaches are developed using fixed datasets, which limits their applicability and generalizability due to the restricted scale of curren... read more
Microorganisms represent the most taxonomically and functionally diverse components of freshwater environments. Whilst distinct microbial communities exist across freshwater habitats, such as the water column and sediments, epilithic and epiphytic bi... read more
BACKGROUND: Digital readiness has become a critical competency for future nurses in the evolving landscape of healthcare. Two essential components of this readiness-eHealth literacy and attitudes toward artificial intelligence (AI)-have gained promin... read more
Latent diffusion models have emerged as powerful generative models in medical imaging, enabling the synthesis of high quality brain magnetic resonance imaging scans. In particular, predicting the evolution of a patients brain can aid in early interve... read more
Cross-modal retrieval between food images and recipe texts is an important task with applications in nutritional management, dietary logging, and cooking assistance. Existing methods predominantly rely on dual-encoder architectures with separate imag... read more
VVI-ReID is a critical technique for all-day surveillance, where temporal information provides additional cues beyond static images. However, existing approaches rely heavily on fully supervised learning with expensive cross-modality annotations, lim... read more
Machine learning has achieved impressive performance in tomographic reconstruction, but supervised training requires paired measurements and ground-truth images that are often unavailable. This has motivated self-supervised approaches, which have pri... read more
Open-vocabulary remote sensing image segmentation (OVRSIS) remains underexplored due to fragmented datasets, limited training diversity, and the lack of evaluation benchmarks that reflect realistic geospatial application demands. Our previous \textit... read more
Ultra-high-definition (UHD) image restoration poses unique challenges due to the high spatial resolution, diverse content, and fine-grained structures present in UHD images. To address these issues, we introduce a progressive spectral decomposition f... read more
Markerless 3D movement analysis from monocular video enables accessible biomechanical assessment in clinical and sports settings. However, most research-grade pipelines rely on GPU acceleration, limiting deployment on consumer-grade hardware and in l... read more
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