Výsledky vyhledávání - "Gian Marco Conte"

Akademický článek

Exploring the Impact of 3D Fast Spin Echo and Inversion Recovery Gradient Echo Sequences Magnetic Resonance Imaging Acquisition on Automated Brain Tumor Segmentation

Autor: Mana Moassefi, MD, Shahriar Faghani, MD, Sara Khanipour Roshan, MD, Gian Marco Conte, MD, PhD, Seyed Moein Rassoulinejad Mousavi, MD, Timothy J. Kaufmann, MD, Bradley J. Erickson, MD, PhD

Publikováno v: Mayo Clinic Proceedings: Digital Health, Vol 2, Iss 2, Pp 231-240 (2024)

Objective: To conduct a study comparing the performance of automated segmentation techniques using 2 different contrast-enhanced T1-weighted (CET1) magnetic resonance imaging (MRI) acquisition protocol. Patients and Methods: We collected 100 preopera

Externí odkaz: https://doaj.org/article/570ebd6fd6bb437cb55f349f08f191a1

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Akademický článek

Accelerometer‐Measured Behavior Patterns in Incident Cerebrovascular Disease: Insights for Preventative Monitoring From the UK Biobank

Autor: Stephanie J. Zawada, Ali Ganjizadeh, Gian Marco Conte, Bart M. Demaerschalk, Bradley J. Erickson

Publikováno v: Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 11 (2024)

Background The goal was to compare patterns of physical activity (PA) behaviors (sedentary behavior [SB], light PA, moderate‐to‐vigorous PA [MVPA], and sleep) measured via accelerometers for 7 days between patients with incident cerebrovascular d

Externí odkaz: https://doaj.org/article/61aa9e746d0b4a9c92a2c069dae54b8d

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Akademický článek

In Situ Physiologic and Behavioral Monitoring With Digital Sensors for Cerebrovascular Disease: A Scoping Review

Autor: Stephanie J. Zawada, MS, Naser Haj Aissa, MBBS, Gian Marco Conte, MD, PhD, Benjamin D. Pollock, MS, PhD, Arjun P. Athreya, MS, PhD, Bradley J. Erickson, MD, PhD, Bart M. Demaerschalk, MSc, MD

Publikováno v: Mayo Clinic Proceedings: Digital Health, Vol 1, Iss 2, Pp 139-160 (2023)

Cerebrovascular disease (CeVD) is a leading cause of death and disability worldwide. Early detection of behavioral and physiologic changes associated with CeVD may be critical to improving patient outcomes. The growing prevalence of remote monitoring

Externí odkaz: https://doaj.org/article/7be5c570aaad4628bcb3776289893ba9

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Akademický článek

310 Digital Physical Activity Phenotype before Cerebrovascular Disease: A Retrospective Study of Accelerometer-Measured Behavior in UK Biobank Observational Cohort

Autor: Stephanie Zawada, Ali Ganjizadeh, Gian Marco Conte, Bart Demaerschalk, Bradley Erickson

Publikováno v: Journal of Clinical and Translational Science, Vol 8, Pp 95-95 (2024)

OBJECTIVES/GOALS: To investigate digital behavior patterns before cerebrovascular disease (CeVD), we compared accelerometer-measured physical activity (PA) phenotypes of future CeVD patients versus controls in UK Biobank. METHODS/STUDY POPULATION: Ac

Externí odkaz: https://doaj.org/article/3d923213fac14906b9738b52b82ea7e6

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Akademický článek

Algebraic topology-based machine learning using MRI predicts outcomes in primary sclerosing cholangitis

Publikováno v: European Radiology Experimental, Vol 6, Iss 1, Pp 1-9 (2022)

Abstract Background Primary sclerosing cholangitis (PSC) is a chronic cholestatic liver disease that can lead to cirrhosis and hepatic decompensation. However, predicting future outcomes in patients with PSC is challenging. Our aim was to extract mag

Externí odkaz: https://doaj.org/article/0fc4b5aca7cb421798ef5ee12f333942

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Akademický článek

SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks

Autor: Kuan Zhang, Haoji Hu, Kenneth Philbrick, Gian Marco Conte, Joseph D. Sobek, Pouria Rouzrokh, Bradley J. Erickson

Publikováno v: Tomography, Vol 8, Iss 2, Pp 905-919 (2022)

There is a growing demand for high-resolution (HR) medical images for both clinical and research applications. Image quality is inevitably traded off with acquisition time, which in turn impacts patient comfort, examination costs, dose, and motion-in

Externí odkaz: https://doaj.org/article/5bc8579661a94c42a3a6897b40467da4

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Akademický článek

Immune and cellular damage biomarkers to predict COVID-19 mortality in hospitalized patients

Autor: Carlo Lombardi, Elena Roca, Barbara Bigni, Bruno Bertozzi, Camillo Ferrandina, Alberto Franzin, Oscar Vivaldi, Marcello Cottini, Andrea D'Alessio, Paolo Del Poggio, Gian Marco Conte, Alvise Berti

Publikováno v: Current Research in Immunology, Vol 2, Iss , Pp 155-162 (2021)

Early prediction of COVID-19 in-hospital mortality relies usually on patients’ preexisting comorbidities and is rarely reproducible in independent cohorts. We wanted to compare the role of routinely measured biomarkers of immunity, inflammation, an

Externí odkaz: https://doaj.org/article/0919db02d71b494489e8540e4ea86028

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