Showing results (41-50 of 109) with videos related to
Sort By:
Pageof 11
BMC Bioinformatics|February 11, 2017
How interacting pathways are regulated by miRNAs in breast cancer subtypesClaudia Cava, Antonio Colaprico, Gloria Bertoli, et al.Journal of Visualized Experiments : Jove|July 5, 2021
Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of PaintersMichele Caccia, Simone Caglio, Anna Galli, et al.BMC Genomics|January 7, 2018
Integration of multiple networks and pathways identifies cancer driver genes in pan-cancer analysisClaudia Cava, Gloria Bertoli, Antonio Colaprico, et al.Frontiers in Computational Neuroscience|January 7, 2016
The Compression Flow as a Measure to Estimate the Brain Connectivity Changes in Resting State fMRI and 18FDG-PET Alzheimer's Disease ConnectomesAntonio G Zippo, Isabella Castiglioni, Virginia M Borsa, et al.The Quarterly Journal of Nuclear Medicine and Molecular Imaging : Official Publication of the Italian Association of Nuclear Medicine (AIMN) [And] the International Association of Radiopharmacology (IAR), [And] Section of the Society Of|December 6, 2014
The impact of different 18FDG PET healthy subject scans for comparison with single patient in SPM analysisFrancesca Gallivanone, Pasquale A Della Rosa, Daniela Perani, et al.Neuroscience|December 17, 2017
Alternating Dynamics of Segregation and Integration in Human EEG Functional Networks During Working-memory TaskAntonio G Zippo, Pasquale A Della Rosa, Isabella Castiglioni, et al.Frontiers in Neuroscience|September 22, 2015
Magnetic resonance imaging biomarkers for the early diagnosis of Alzheimer's disease: a machine learning approachChristian Salvatore, Antonio Cerasa, Petronilla Battista, et al.Journal of Autism and Developmental Disorders|February 6, 2015
Use of Machine Learning to Identify Children with Autism and Their Motor AbnormalitiesAlessandro Crippa, Christian Salvatore, Paolo Perego, et al.Frontiers in Neurology|November 30, 2020
Comparison of Transfer Learning and Conventional Machine Learning Applied to Structural Brain MRI for the Early Diagnosis and Prognosis of Alzheimer's DiseaseLoris Nanni, Matteo Interlenghi, Sheryl Brahnam, et al.Contrast Media & Molecular Imaging|November 4, 2017
A Method for Manufacturing Oncological Phantoms for the Quantification of 18F-FDG PET and DW-MRI StudiesFrancesca Gallivanone, Irene Carne, Matteo Interlenghi, et al.Pageof 11