Suggestions(1)
Exact(4)
The tensor and FA map were computed from the mean DWIs in Mori's atlas space to represent the white matter anatomy in this study.
The correlation values for this map were computed by taking the feature similarity map on each trial that had the strongest correlation with the saccade maps and storing this correlation value.
A map of gel displacement and the corresponding traction force map were computed as described previously (29, 30).
Spike-triggered averages of this motion map were computed by binning the neural event rates in 33.3 ms bins (i.e., matching the frame rate) and weighting the frames by the event rate in the bin.
Similar(55)
Next, the Gaussian pyramid of the weight map is computed.
In [7], one edge map is computed from the difference image of and, and another edge map is computed from and.
Finally, the saliency map is computed from these feature maps after normalization and pooling.
For a given point, the value of the map is computed according to (4).
The relative acoustic impedance map is computed by integrating the attribute across the given time window.
The spatial saliency map is computed from joint embedding of spatial and color cues.
The range of this trip and the contribution to the reflectivity map is computed.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com