•Part II: Information Analysis:
–Measurements.
–Learn from the data, construct statistical models.
•e.g., probabilistic atlas for structures /
functions.
–Make inference for new data based on the learned models.
•e.g., automated sulcal labeling, segmentation, computer
aided diagnosis.