1. A method for reconstructing magnetic resonance images from data collected at a plurality of time points using a plurality of radio frequency (RF) coils, the method comprising: combining at least a first training data set, including a first target k-space data point, acquired from a single RF coil of the plurality of RF coils, and a first set of source k-space data points acquired from the plurality of RF coils, and a second training data set, including a second target k-space data point and a second set of source k-space data points, the first training data set comprising data from a first time point in the plurality of time points and the second training data set comprising data from a different second time point in the plurality of time points; calculating a set of weights based on at least the combined first training data set and the second training data set.