CT-Former integrates continuous-time modeling and causal attention in a transformer to deliver accurate, interpretable early AKI prediction on the MIMIC-IV cohort of 18,419 patients.
Mask-guided attention regulation for anatomically consistent counterfactual cxr synthesis
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Causal-Transformer with Adaptive Mutation-Locking for Early Prediction of Acute Kidney Injury
CT-Former integrates continuous-time modeling and causal attention in a transformer to deliver accurate, interpretable early AKI prediction on the MIMIC-IV cohort of 18,419 patients.