HLnet Blends Transformers and CNNs to Synthesize Missing MRI Scans
A hybrid deep learning framework called HLnet combines CNN frequency decomposition with Transformer attention to synthesize T1- and T2-weighted MRI ...
A hybrid deep learning framework called HLnet combines CNN frequency decomposition with Transformer attention to synthesize T1- and T2-weighted MRI ...
A two-year longitudinal study of 83 Brazilian medical interns shows patient-centred orientation shifts during clinical training, with perceived workload pressure ...
A new BMC Medical Education study maps diabetic foot education gaps among Barbadian healthcare practitioners and builds BDFS-LEARN, a hybrid ...
Nearly four in ten medical researchers worldwide are at risk of burnout, and the trait that appears to shield them ...
A newly published French multicenter trial will clinically validate a composite diagnostic device that merges blood-based immune biomarkers, a decision ...
A qualitative study of 18 medical students in China reveals how clinical training transforms family members into medical interpreters when ...
A special collection in Frontiers in Photonics showcases advances in diffusive optical techniques for non-invasive medical imaging, from tissue hydration ...
When a Ghanaian nurse leans over a patient's bedside and asks in careful French where the pain began, the success ...
Talking with families about a child's death is one of the hardest things any clinician will ever do, yet most ...
Medical students who feel trapped in the relentless, zero-sum competition known as academic involution tend to earn lower standardized examination ...
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© 2025 Scienmag - Science Magazine