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Found 6 papers, 1 papers with code
RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training
The integration of artificial intelligence (AI) with radiology has marked a transformative era in medical diagnostics.
Optical detection of bacterial cells on stainless-steel surface with a low-magnification light microscope
Using Salmonella enterica (SE1045) and Escherichia coli as model bacterial cells, we achieved a capture efficiency of up to 76. 0 % for SE1045 cells and 81. 1 % for E. coli cells at Log 3 CFU/mL upon the optimized conditions.
Joint Self-Supervised and Supervised Contrastive Learning for Multimodal MRI Data: Towards Predicting Abnormal Neurodevelopment
The integration of different imaging modalities, such as structural, diffusion tensor, and functional magnetic resonance imaging, with deep learning models has yielded promising outcomes in discerning phenotypic characteristics and enhancing disease diagnosis.
A Novel Collaborative Self-Supervised Learning Method for Radiomic Data
We compared our proposed method with other state-of-the-art self-supervised learning methods on a simulation study and two independent datasets.
A Novel Ontology-guided Attribute Partitioning Ensemble Learning Model for Early Prediction of Cognitive Deficits using Quantitative Structural MRI in Very Preterm Infants
We applied the OAP-EL to predict cognitive deficits at 2 years of age using quantitative brain maturation and geometric features obtained at term equivalent age in very preterm infants.
Scattering from Infinity of the Maxwell Klein Gordon Equations in Lorenz Gauge
We prove global existence backwards from the scattering data posed at infinity for the Maxwell Klein Gordon equations in Lorenz gauge satisfying the weak null condition.
Analysis of PDEs Mathematical Physics Mathematical Physics
