Table 2.

Performance of the model_full (trained on 60 time-points), model_truncated (trained on 40 time-points), Random Forests, and DNN from the test set

	Model_Full		Model_Truncated		RF		DNN
	MAE	RMSE	MAE	RMSE	MAE	RMSE	MAE	RMSE
rCBF (mL/100 g/min)	1.91	7.77	3.11	10.88	4.07	12.76	3.54	12.11
rCBV (mL/100 g)	0.59	2.63	0.85	3.53	1.04	4.72	0.98	4.03

Bold represents the best-performing model