Zobrazeno 1 - 10
of 84
pro vyhledávání: '"George R. Matcuk"'
Autor:
Makoto Taninokuchi Tomassoni, Lorenzo Braccischi, Mattia Russo, Francesco Adduci, Davide Calautti, Marco Girolami, Fabio Vita, Alberto Ruffilli, Marco Manzetti, Federico Ponti, George R. Matcuk, Cristina Mosconi, Luigi Cirillo, Marco Miceli, Paolo Spinnato
Publikováno v:
Diagnostics, Vol 14, Iss 11, p 1147 (2024)
Lumbar back pain is one of the main causes of disability around the world. Most patients will complain of back pain at least once in their lifetime. The degenerative spine is considered the main cause and is extremely common in the elderly population
Externí odkaz:
https://doaj.org/article/df8b4af5813c41fdb3536bf7d5bef20d
Autor:
Amandine Crombé, David Fadli, Roberta Clinca, Giorgio Reverchon, Luca Cevolani, Marco Girolami, Olivier Hauger, George R. Matcuk, Paolo Spinnato
Publikováno v:
Microorganisms, Vol 12, Iss 5, p 893 (2024)
Spondylodiscitis is defined by infectious conditions involving the vertebral column. The incidence of the disease has constantly increased over the last decades. Imaging plays a key role in each phase of the disease. Indeed, radiological tools are fu
Externí odkaz:
https://doaj.org/article/ee9ed52fe09b4664878466a37a096711
Autor:
Bino A. Varghese, Brandon K. K. Fields, Darryl H. Hwang, Vinay A. Duddalwar, George R. Matcuk, Steven Y. Cen
Publikováno v:
Frontiers in Radiology, Vol 3 (2023)
To date, studies investigating radiomics-based predictive models have tended to err on the side of data-driven or exploratory analysis of many thousands of extracted features. In particular, spatial assessments of texture have proven to be especially
Externí odkaz:
https://doaj.org/article/5bbed907024a4ca9ace94de5ab11d948
Autor:
Joseph M. Rich, Lokesh N. Bhardwaj, Aman Shah, Krish Gangal, Mohitha S. Rapaka, Assad A. Oberai, Brandon K. K. Fields, George R. Matcuk, Vinay A. Duddalwar
Publikováno v:
Frontiers in Radiology, Vol 3 (2023)
IntroductionImage segmentation is an important process for quantifying characteristics of malignant bone lesions, but this task is challenging and laborious for radiologists. Deep learning has shown promise in automating image segmentation in radiolo
Externí odkaz:
https://doaj.org/article/cfe7f25966b74392a63516723d5a9aee
Publikováno v:
Life, Vol 13, Iss 7, p 1426 (2023)
Understanding the subtle signs of carpal instability and other unique injury patterns in the wrist is a critical skill for radiologists. Proper patient management and outcomes are directly dependent on the accurate interpretation of wrist imaging stu
Externí odkaz:
https://doaj.org/article/36e4837a069545fc9f50234549e9e386
Publikováno v:
Life, Vol 13, Iss 6, p 1278 (2023)
Ultrasound fusion is an established technique that pairs real time B-scan ultrasound (US) with other forms of cross-sectional imaging, including computed tomography (CT), magnetic resonance imaging (MRI) and positron emission tomography (PET). Each o
Externí odkaz:
https://doaj.org/article/c9b0eae9dce543f5afa3bb51bfa309c6
Autor:
Paolo Spinnato, Dakshesh B. Patel, Maddalena Di Carlo, Alessandra Bartoloni, Luca Cevolani, George R. Matcuk, Amandine Crombé
Publikováno v:
Microorganisms, Vol 10, Iss 12, p 2329 (2022)
Musculoskeletal soft-tissue infections include a wide range of clinical conditions that are commonly encountered in both emergency departments and non-emergency clinical settings. Since clinical signs, symptoms, and even laboratory tests can be unrem
Externí odkaz:
https://doaj.org/article/8d5b0470e2234e0c9e69da1fbb637f4b
Autor:
Brandon K.K. Fields, George R. Matcuk, Jr, Doan Lai, Andrew Lee, Sami Dwabe, Courtney Hanlon, Natalie L. Demirjian, Seth Politano
Publikováno v:
Current Problems in Cancer: Case Reports, Vol 1, Iss , Pp 100012- (2020)
Hepatic angiosarcoma is a rare and heterogeneous neoplasm that carries with it an especially poor prognosis. Diagnosis is challenging given that patients often present with vague, nonspecific complaints, and early multiorgan dysfunction has the poten
Externí odkaz:
https://doaj.org/article/5febd5d027ff4ca8b73f7a0a8af4f4d6
Autor:
George R. Matcuk, Jordan S. Gross, Dakshesh B. Patel, Brandon K. K. Fields, Dorian M. Lapalma, Daniel Stahl
Publikováno v:
Radiology‐Nuclear Medicine Diagnostic Imaging. :577-624
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90f6f28e7f8a2670d509e9853bd198a4
https://doi.org/10.1002/9781119603627.ch21
https://doi.org/10.1002/9781119603627.ch21
Autor:
Brandon K. K. Fields, Natalie L. Demirjian, Steven Y. Cen, Bino A. Varghese, Darryl H. Hwang, Xiaomeng Lei, Bhushan Desai, Vinay Duddalwar, George R. Matcuk
Publikováno v:
Molecular Imaging and Biology.
Objectives To evaluate the performance of machine learning–augmented MRI-based radiomics models for predicting response to neoadjuvant chemotherapy (NAC) in soft tissue sarcomas. Methods Forty-four subjects were identified retrospectively from pati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a94e57505fd1da9576249274d9feddb
https://doi.org/10.1007/s11307-023-01803-y
https://doi.org/10.1007/s11307-023-01803-y