Is there a way to get some “happy medium” between the empirical dose weights and just using the Grant & Grigorieff curve? I’m wondering about cases when the fitting for the early frames (ex. the observation that the first frame or two aren’t optimal) would provide improvement but the overfitting in the last frames ends up masking this benefit this, so having something like a hyperparameter to force the value of the empirical weights drop off over time could be useful.
Edit: sorry didn’t notice that this was already addressed in another thread - Set frame range for RBMC [Feature request]