Plot ROC and nomogram after multiple imputation

How to do ROC and nomogram plotting after multiple imputation with the "mice" package？

I found online that I could use the "pool_performance" function for calibration curve plotting, performing the Hosmer and Lemeshow test and Brier score.

But there is no method found for ROC and nomogram plotting that can be done after multiple imputation.

Here is my code using pool_performance

pool_performance(  data = imp_complete,  formula = Y ~ X1 + X2 + X3,  nimp = 20,  impvar = ".imp",  model_type = "binomial",  cal.plot = TRUE,  plot.method = "mean",  groups_cal = 10)

Do you guys have any suggestions for ways to plot ROCs and nomograms after multiple imputation?