Antonietta Pepe

TL;DR: The results presented in this study demonstrate the potential of the suggested approach for early AD diagnosis and an important role of MRI in the MCI-to-AD conversion prediction.

TL;DR: Evaluation results of the methods submitted to Challenge US: Biometric Measurements from Fetal Ultrasound Images, a segmentation challenge held at the IEEE International Symposium on Biomedical Imaging 2012, show the femur sub-challenge had inferior performance to the head sub-Challenge, and several groups produced results that could be potentially used in clinical settings, with comparable performance to manual delineations.

TL;DR: In this paper, structural brain image data from 28,802 right handers and 3,062 left handers were resampled to a symmetrical surface template, and mapped asymmetries for each of 8,681 vertices across the cerebral cortex in each individual.

TL;DR: In this article, a deformable model-based algorithm was used to extract the salient morphological features while establishing the point correspondence between the surfaces of the cerebral hemispheric surfaces, and the interhemispheric asymmetry was evaluated in a few thousands of corresponding surface vertices and tested for statistical significance.

TL;DR: The automatically derived biometric measurements were as accurate as the manual measurements and the segmentation accuracy was superior to the accuracy of the other automatic methods that have been evaluated using the same data.