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S Tangaro

Explore the profile of S Tangaro including associated specialties, affiliations and a list of published articles. Areas
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Articles 15
Citations 136
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Recent Articles
1.
Monaco A, Pantaleo E, Amoroso N, Bellantuono L, Lombardi A, Tateo A, et al.
Phys Biol . 2020 Oct; 18(1):016003. PMID: 33049726
Parkinson's disease (PD) is a chronic, progressive neurodegenerative disease and represents the most common disease of this type, after Alzheimer's dementia. It is characterized by motor and nonmotor features and...
2.
Basile T, Fanizzi A, Losurdo L, Bellotti R, Bottigli U, Dentamaro R, et al.
Phys Med . 2019 Sep; 64:1-9. PMID: 31515007
Background: Microcalcification clusters in mammograms can be considered as early signs of breast cancer. However, their detection is a very challenging task because of different factors: large variety of breast...
3.
Losurdo L, Basile T, Fanizzi A, Bellotti R, Bottigli U, Carbonara R, et al.
Biomed Res Int . 2018 Aug; 2018:9032408. PMID: 30140703
Breast cancer is the main cause of female malignancy worldwide. Effective early detection by imaging studies remains critical to decrease mortality rates, particularly in women at high risk for developing...
4.
Da Pelo P, de Tommaso M, Monaco A, Stramaglia S, Bellotti R, Tangaro S
J Neural Eng . 2017 Nov; 15(2):026016. PMID: 29154255
Objective: Event-related potentials (ERPs) are usually obtained by averaging thus neglecting the trial-to-trial latency variability in cognitive electroencephalography (EEG) responses. As a consequence the shape and the peak amplitude of...
5.
Tateo A, Iurino A, Settanni G, Andrisani A, Stifanelli P, Larizza P, et al.
Phys Med Biol . 2016 May; 61(11):4061-77. PMID: 27164361
Magnetic particle imaging (MPI) is a new medical imaging technique capable of recovering the distribution of superparamagnetic particles from their measured induced signals. In literature there are two main MPI...
6.
Amoroso N, Errico R, Bruno S, Chincarini A, Garuccio E, Sensi F, et al.
Phys Med Biol . 2015 Nov; 60(22):8851-67. PMID: 26531765
In this study we present a novel fully automated Hippocampal Unified Multi-Atlas-Networks (HUMAN) algorithm for the segmentation of the hippocampus in structural magnetic resonance imaging. In multi-atlas approaches atlas selection...
7.
Inglese P, Amoroso N, Boccardi M, Bocchetta M, Bruno S, Chincarini A, et al.
Phys Med . 2015 Oct; 31(8):1085-1091. PMID: 26481815
The hippocampus has a key role in a number of neurodegenerative diseases, such as Alzheimer's Disease. Here we present a novel method for the automated segmentation of the hippocampus from...
8.
Tangaro S, Amoroso N, Boccardi M, Bruno S, Chincarini A, Ferraro G, et al.
Phys Med . 2014 Jul; 30(8):878-87. PMID: 25018049
The hippocampus is an important structural biomarker for Alzheimer's disease (AD) and has a primary role in the pathogenesis of other neurological and psychiatric diseases. This study presents a fully...
9.
Scattarella F, Tangaro S, Modregger P, Stampanoni M, De Caro L, Bellotti R
Phys Med . 2013 Feb; 29(5):478-86. PMID: 23375790
Until recently, the hard X-ray, phase-sensitive imaging technique called grating interferometry was thought to provide information only in real space. However, by utilizing an alternative approach to data analysis we...
10.
Retico A, Fantacci M, Gori I, Kasae P, Golosio B, Piccioli A, et al.
Comput Biol Med . 2009 Nov; 39(12):1137-44. PMID: 19883906
A completely automated system for the identification of pleural nodules in low-dose and thin-slice computed tomography (CT) of the lung has been developed. The directional-gradient concentration method has been applied...