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Browsing by Author "Recenti, Marco"

Browsing by Author "Recenti, Marco"

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  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...