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Browsing by Author "Recenti, Marco"

Browsing by Author "Recenti, Marco"

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    Advancing clinical evaluation and diagnostics with artificial intelligence technologies 
    Recenti, Marco (2023-03)
    Machine Learning (ML) is extensively used in diverse healthcare applications to aid physicians in diagnosing and identifying associations, sometimes hidden, between dif- ferent biomedical parameters. This PhD thesis investigates the interplay of ...
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    Assessing cardiovascular risks from a mid-thigh CT image: A tree-based machine learning approach using radiodensitometric distributions 
    Ricciardi, Carlo; Edmunds, Kyle; Recenti, Marco; Sigurdsson, Sigurdur; Gudnason, Vilmundur; Carraro, Ugo; Gargiulo, Paolo (Springer Science and Business Media LLC, 2020-02-18)
    The nonlinear trimodal regression analysis (NTRA) method based on radiodensitometric CT distributions was recently developed and assessed for the quantification of lower extremity function and nutritional parameters in aging subjects. However, the use ...
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    Development of soft tissue asymmetry indicators to characterize aging and functional mobility 
    Ricciardi, Carlo; Ponsiglione, Alfonso Maria; Recenti, Marco; Amato, Francesco; Gislason, Magnus Kjartan; Chang, Milan; Gargiulo, Paolo (2023-12-12)
    Introduction: The aging population poses significant challenges to healthcare systems globally, necessitating a comprehensive understanding of age-related changes affecting physical function. Age-related functional decline highlights the urgency of ...
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    Improving prosthetic selection and predicting BMD from biometric measurements in patients receiving total hip arthroplasty 
    Ricciardi, Carlo; Jónsson, Halldór; Jacob, Deborah; Improta, Giovanni; Recenti, Marco; Gíslason, Magnús Kjartan; Cesarelli, Giuseppe; Esposito, Luca; Minutolo, Vincenzo; Bifulco, Paolo; Gargiulo, Paolo (2020-10-14)
    There are two surgical approaches to performing total hip arthroplasty (THA): a cemented or uncemented type of prosthesis. The choice is usually based on the experience of the orthopaedic surgeon and on parameters such as the age and gender of the ...
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    Machine learning predictive system based upon radiodensitometric distributions from mid-thigh CT images 
    Recenti, Marco; Ricciardi, Carlo; Edmunds, Kyle; Gislason, Magnus K.; Gargiulo, Paolo (PAGEPress Publications, 2020-04-01)
    The nonlinear trimodal regression analysis (NTRA) method based on radiodensitometric CT images distributions was developed for the quantitative characterization of soft tissue changes according to the lower extremity function of elderly subjects. In ...
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    Novel strategies for cartilage assessment, interplay between bone and muscles 
    Ciliberti, Federica Kiyomi; Aubonnet, Romain; Ramos, Jorgelina; Recenti, Marco; Jacob, Deborah Cecelia Rose; Guerrini, Lorena; Gíslason, Magnús Kjartan; Sigurjonsson, Olafur; Tsirilaki, Mariella; Jónsson, Halldór; Gargiulo, Paolo (2023)
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    Predicting postural control adaptation measuring EEG, EMG, and center of pressure changes : BioVRSea paradigm 
    Stehle, Simon A.; Aubonnet, Romain; Hassan, Mahmoud; Recenti, Marco; Jacob, Deborah Cecelia Rose; Petersen, Hannes; Gargiulo, Paolo (2022-12-15)
    Introduction: Postural control is a sensorimotor mechanism that can reveal neurophysiological disorder. The present work studies the quantitative response to a complex postural control task. Methods: We measure electroencephalography (EEG), electromyography ...
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    Toward New Assessment of Knee Cartilage Degeneration 
    Aubonnet, Romain; Ramos, Jorgelina; Recenti, Marco; Jacob, Deborah; Ciliberti, Federica; Guerrini, Lorena; Gislason, Magnus K.; Sigurjonsson, Olafur; Tsirilaki, Mariella; Jónsson, Halldór; Gargiulo, Paolo (2022-12-21)
    Objective: Assessment of human joint cartilage is a crucial tool to detect and diagnose pathological conditions. This exploratory study developed a workflow for 3D modeling of cartilage and bone based on multimodal imaging. New evaluation metrics were ...
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    Towards defining biomarkers to evaluate concussions using virtual reality and a moving platform (BioVRSea) 
    Jacob, Deborah Cecelia Rose; Unnsteinsdóttir Kristensen, Ingunn S.; Aubonnet, Romain; Recenti, Marco; Donisi, Leandro; Ricciardi, Carlo; Svansson, Halldór Á.R.; Agnarsdóttir, Sólveig; Colacino, Andrea; Jónsdóttir, María Kristín; Kristjánsdóttir, Hafrún; Sigurjónsdóttir, Helga Ágústa; Cesarelli, Mario; Claessen, Lára Ósk Eggertsdóttir; Hassan, Mahmoud; Petersen, Hannes; Gargiulo, Paolo (2022-05-30)
    Current diagnosis of concussion relies on self-reported symptoms and medical records rather than objective biomarkers. This work uses a novel measurement setup called BioVRSea to quantify concussion status. The paradigm is based on brain and muscle ...