Claudio Varini

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We propose an extension of the algorithm for nonlinear dimensional reduction locally linear embedding (LLE) based on the usage of the geodesic distance (ISOLLE). In LLE, each data point is reconstructed from a linear combination of its n nearest neighbors, which are typically found using the Euclidean distance. We show that the search for the neighbors(More)
Locally linear embedding (LLE) has recently been proposed as a powerful algorithm for unsupervised learning and dimensional data reduction. For a first time we apply LLE to a problem of medical data analysis. Magnetic resonance imaging (MRI) is considered as an essential imaging modality in the detection and classification of breast cancer. In dynamic(More)
A combined therapy with 5-aminosalicylic (5-ASA) tablets (1.6gr/day) and 5-ASA enemas (4gr/twice weekly) was evaluated for maintaining remission of ulcerative colitis in 40 patients. All patients were in complete remission which had been maintained for at least 1 month. The remission was assessed by clinical, endoscopic and histological criteria. Clinical(More)
Locally Linear Embedding (LLE) has recently been proposed as a method for dimensional reduction of high-dimensional nonlinear data sets. In LLE each data point is reconstructed from a linear combination of its n nearest neighbors, which are typically found using the Euclidean Distance. We propose an extension of LLE which consists in performing the search(More)
This research represents the first part of a project finalized to prolong the ischemic time of the explanted heart. Our experimental model utilizes rat hearts heterotopically transplanted into the abdomen of a recipient: a denervated heart but perfused by blood as to permit a good evaluation of the reperfusion damage. We used 3 different types of(More)