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TL;DR: An innovative MRI‐based method for Alzheimer disease detection and mild cognitive impairment (MCI) prognostic, using lifespan trajectories of brain structures, which demonstrated better classification performance and HAVAs simplicity makes it fully understandable and thus well‐suited for clinical practice or future pharmaceutical trials.

TL;DR: This work proposes a graph-based representation of the hippocampal subfields alterations based on patch-based grading feature and shows that this approach obtains similar results than state-of-the-art approaches based on whole-brain analysis with improving by 4 percent points of accuracy patch- based grading methods based on hippocampus.

TL;DR: The potential using texture information based on Gabor filters to improve patch-based grading method performance, with a focus on the hippocampal structure is studied and a novel fusion framework to efficiently combine multiple grading maps derived from a Gabor filter bank is proposed.

TL;DR: DeepLesionBrain improves the segmentation performance and generalization over classical techniques, and thus proposes a robust approach better suited for clinical practice.

TL;DR: The study of hippocampal regional vulnerability may provide important insights into the pathop... as discussed by the authors, which may help to understand how neurological or psychiatric diseases affect the hippocampus during aging, and may also provide insights into how to prevent Alzheimer's disease.