User profiles for S. Diciotti

Stefano Diciotti

University of Bologna
Verified email at unibo.it
Cited by 4276

[HTML][HTML] Lung densitometry: why, how and when

M Mascalchi, G Camiciottoli, S Diciotti - Journal of thoracic disease, 2017 - ncbi.nlm.nih.gov
… The above evidence in someone’s opinion supports the view that future therapeutic strategies
should be targeted on the COPD patient’s specific pathophysiological bases of expiratory …

Predictive waves in the autism-schizophrenia continuum: a novel biobehavioral model

L Tarasi, J Trajkovic, S Diciotti, G di Pellegrino… - Neuroscience & …, 2022 - Elsevier
… Author links open overlay panel Luca Tarasi a , Jelena Trajkovic a , Stefano Diciotti b c ,
Giuseppe di Pellegrino … ASD is characterized by a bias towards prediction-error’s overweighting. …

Diffusion-MRI in neurodegenerative disorders

…, M Cosottini, S Diciotti, S De Santis… - Magnetic resonance …, 2015 - Elsevier
… diffusion-MRI in various neurodegenerative disorders including Alzheimer’s disease,
Parkinson’s disease, amyotrophic lateral sclerosis, Huntington’s disease and degenerative ataxias. …

Automated segmentation refinement of small lung nodules in CT scans by local shape analysis

S Diciotti, S Lombardo, M Falchini… - IEEE Transactions …, 2011 - ieeexplore.ieee.org
S, which includes the nodule and a pulmonary vessel attached to it, is depicted. In order to
analyze the local shape of S, … S. A first distance map DM1 is computed for voxels belonging to …

3-D segmentation algorithm of small lung nodules in spiral CT images

S Diciotti, G Picozzi, M Falchini… - IEEE transactions on …, 2008 - ieeexplore.ieee.org
… In our method, we exploit the expert’s knowledge by a controlled procedure as described
in the following section. In this work nodules belonging to class 3 and 4, which require a …

Characterizing cardiac autonomic dynamics of fear learning in humans

…, S Borgomaneri, R Barbieri, S Diciotti… - …, 2022 - Wiley Online Library
… of 0.005 s in the IBI interval associated with this sampling frequency did not likely affect
the timings discussed in our results, which were presented with a lower precision of 0.01 s. …

Neural networks for computer-aided diagnosis: detection of lung nodules in chest radiograms

G Coppini, S Diciotti, M Falchini… - IEEE Transactions on …, 2003 - ieeexplore.ieee.org
… In this way, a LoG-filtered image is not biased by the scale parameter and we can compare
images which have been filtered with different s. In addition, it is convenient to relate the filter …

Lung CT densitometry in systemic sclerosis: correlation with lung function, exercise testing, and quality of life

…, I Orlandi, M Bartolucci, E Meoni, F Nacci, S Diciotti… - Chest, 2007 - Elsevier
Background:To ascertain if analysis of lung density histograms in thin-section CT was more
reproducible than visual assessment of lung changes in systemic sclerosis (SSc), and if such …

Axial diffusivity is increased in the degenerating superior cerebellar peduncles of Friedreich's ataxia

R Della Nave, A Ginestroni, S Diciotti, E Salvatore… - Neuroradiology, 2011 - Springer
… Diffusion-sensitizing gradients were applied along 15 non-collinear directions using b
value of 0 (b0 image) and 1,000 s/mm 2 . The examination protocol included also a sagittal T1-…

Structural and functional evaluation of cortical motor areas in Amyotrophic Lateral Sclerosis

…, I Pesaresi, S Piazza, S Diciotti, P Cecchi, S Fabbri… - Experimental …, 2012 - Elsevier
… It consisted in a block-design experiment, with 12 task periods (lasting 25 s each) alternated
to 12 rest periods (lasting 15 s each). Subjects were asked to perform a simple handgrip …