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Enzo Grossi

Showing results (121-130 of 161) with videos related to

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Brain Sciences|September 30, 2020
Physiological Profile Assessment of Posture in Children and Adolescents with Autism Spectrum Disorder and Typically Developing PeersCecilia Perin, Giulio Valagussa, Miryam Mazzucchelli, et al.
European Radiology Experimental|January 30, 2020
A machine learning approach for differentiating malignant from benign enhancing foci on breast MRINatascha C D'Amico, Enzo Grossi, Giovanni Valbusa, et al.
Gastrointestinal Endoscopy|October 18, 2011
Mortality from nonulcer bleeding is similar to that of ulcer bleeding in high-risk patients with nonvariceal hemorrhage: a prospective database study in ItalyRiccardo Marmo, Mario Del Piano, Gianluca Rotondano, et al.
Journal of Clinical Medicine|January 8, 2023
Neuropsychological and Behavioral Profile in Sleep-Related Hypermotor Epilepsy (SHE) and Disorders of Arousal (DOA): A Multimodal AnalysisMonica Puligheddu, Patrizia Congiu, Michela Figorilli, et al.
European Journal of Endocrinology|May 5, 2017
Cardiovascular events in patients with mild autonomous cortisol secretion: analysis with artificial neural networksValentina Morelli, Serena Palmieri, Andrea Lania, et al.
Trials|June 3, 2014
PAHA study: psychological active and healthy aging: psychological wellbeing, proactive attitude and happiness effects of whole-body vibration versus Multicomponent Training in aged women: study protocol for a randomized controlled trialAngelo Compare, Cristina Zarbo, Elena Marín, et al.
Clinical EEG and Neuroscience|September 24, 2025
Identifying Neuroinflammation: The Diagnostic Potential of Spindling Excessive Beta in the EEGLorrianne M Morrow, Emma A Barr, Enzo Grossi, et al.
Annals of Medicine|March 17, 2005
Recognition of patients with cardiovascular disease by artificial neural networksDamiano Baldassarre, Enzo Grossi, Massimo Buscema, et al.
Diabetes Care|August 20, 2011
Low bone mineral density and its predictors in type 1 diabetic patients evaluated by the classic statistics and artificial neural network analysisCristina Eller-Vainicher, Volha V Zhukouskaya, Yury V Tolkachev, et al.
Plos One|February 24, 2015
Di-(2-ethylhexyl) phthalate metabolites in urine show age-related changes and associations with adiposity and parameters of insulin sensitivity in childhoodArianna Smerieri, Chiara Testa, Pietro Lazzeroni, et al.
Pageof 17

Showing results (121-130 of 161) with videos related to

Sort By:
Pageof 17
Brain Sciences|September 30, 2020
Physiological Profile Assessment of Posture in Children and Adolescents with Autism Spectrum Disorder and Typically Developing PeersCecilia Perin, Giulio Valagussa, Miryam Mazzucchelli, et al.
European Radiology Experimental|January 30, 2020
A machine learning approach for differentiating malignant from benign enhancing foci on breast MRINatascha C D'Amico, Enzo Grossi, Giovanni Valbusa, et al.
Gastrointestinal Endoscopy|October 18, 2011
Mortality from nonulcer bleeding is similar to that of ulcer bleeding in high-risk patients with nonvariceal hemorrhage: a prospective database study in ItalyRiccardo Marmo, Mario Del Piano, Gianluca Rotondano, et al.
Journal of Clinical Medicine|January 8, 2023
Neuropsychological and Behavioral Profile in Sleep-Related Hypermotor Epilepsy (SHE) and Disorders of Arousal (DOA): A Multimodal AnalysisMonica Puligheddu, Patrizia Congiu, Michela Figorilli, et al.
European Journal of Endocrinology|May 5, 2017
Cardiovascular events in patients with mild autonomous cortisol secretion: analysis with artificial neural networksValentina Morelli, Serena Palmieri, Andrea Lania, et al.
Trials|June 3, 2014
PAHA study: psychological active and healthy aging: psychological wellbeing, proactive attitude and happiness effects of whole-body vibration versus Multicomponent Training in aged women: study protocol for a randomized controlled trialAngelo Compare, Cristina Zarbo, Elena Marín, et al.
Clinical EEG and Neuroscience|September 24, 2025
Identifying Neuroinflammation: The Diagnostic Potential of Spindling Excessive Beta in the EEGLorrianne M Morrow, Emma A Barr, Enzo Grossi, et al.
Annals of Medicine|March 17, 2005
Recognition of patients with cardiovascular disease by artificial neural networksDamiano Baldassarre, Enzo Grossi, Massimo Buscema, et al.
Diabetes Care|August 20, 2011
Low bone mineral density and its predictors in type 1 diabetic patients evaluated by the classic statistics and artificial neural network analysisCristina Eller-Vainicher, Volha V Zhukouskaya, Yury V Tolkachev, et al.
Plos One|February 24, 2015
Di-(2-ethylhexyl) phthalate metabolites in urine show age-related changes and associations with adiposity and parameters of insulin sensitivity in childhoodArianna Smerieri, Chiara Testa, Pietro Lazzeroni, et al.
Pageof 17