Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Victorine V, Muse"'
Autor:
Cory R, Gooch, Manoj K, Jain, Milena, Petranovic, David Z, Chow, Victorine V, Muse, Staci M, Gagne, Carol C, Wu, Justin T, Stowell
Publikováno v:
Journal of Thoracic Imaging. 37:67-79
Lymphoma is the most common hematologic malignancy comprising a diverse group of neoplasms arising from multiple blood cell lineages. Any structure of the thorax may be involved at any stage of disease. Imaging has a central role in the initial stagi
Autor:
James M. Hillis, Bernardo C. Bizzo, Sarah Mercaldo, John K. Chin, Isabella Newbury-Chaet, Subba R. Digumarthy, Matthew D. Gilman, Victorine V. Muse, Georgie Bottrell, Jarrel C.Y. Seah, Catherine M. Jones, Mannudeep K. Kalra, Keith J. Dreyer
Publikováno v:
JAMA network open. 5(12)
ImportanceEarly detection of pneumothorax, most often via chest radiography, can help determine need for emergent clinical intervention. The ability to accurately detect and rapidly triage pneumothorax with an artificial intelligence (AI) model could
Autor:
Ramandeep Singh, Mannudeep K Kalra, Chayanin Nitiwarangkul, John A Patti, Fatemeh Homayounieh, Atul Padole, Pooja Rao, Preetham Putha, Victorine V Muse, Amita Sharma, Subba R Digumarthy
Publikováno v:
PLoS ONE, Vol 13, Iss 10, p e0204155 (2018)
BACKGROUND:Deep learning (DL) based solutions have been proposed for interpretation of several imaging modalities including radiography, CT, and MR. For chest radiographs, DL algorithms have found success in the evaluation of abnormalities such as lu
Externí odkaz:
https://doaj.org/article/d062da2c436d49b68af1771ed751fb0a
Autor:
James M Hillis, Bernardo C Bizzo, Sarah Mercaldo, John K Chin, Isabella Newbury-Chaet, Subba R Digumarthy, Matthew D Gilman, Victorine V Muse, Georgie Bottrell, Jarrel CY Seah, Catherine M Jones, Mannudeep K Kalra, Keith J Dreyer
ImportanceEarly detection of pneumothorax, most often on chest radiograph (CXR), can help determine need for emergent clinical intervention. The ability to accurately detect and rapidly triage pneumothorax with an artificial intelligence (AI) model c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cb0720aaaef0ac808100c897b98ad89
https://doi.org/10.1101/2022.07.07.22277305
https://doi.org/10.1101/2022.07.07.22277305
Autor:
Erin Angel, Rachna Madan, Michael A. Blake, Azadeh Tabari, Victorine V. Muse, Yiemeng Hoi, Subba R. Digumarthy, Naruomi Akino, Mannudeep K. Kalra, Avinash Kambadakone, Ramandeep Singh
Publikováno v:
American Journal of Roentgenology. 214:566-573
OBJECTIVE. The objective of this study was to compare image quality and clinically significant lesion detection on deep learning reconstruction (DLR) and iterative reconstruction (IR) images of submillisievert chest and abdominopelvic CT. MATERIALS A
Publikováno v:
The New England journal of medicine. 385(21)
A Woman with Pain in the Left Upper Quadrant and Hypoxemia A 50-year-old woman with sarcoidosis presented with pain in the left upper quadrant and hypoxemia. The oxygen saturation was 85% while she...
Publikováno v:
The New England journal of medicine. 382(3)
A Man with Fever and Respiratory Failure A 64-year-old man was admitted to the hospital because of acute renal failure presumed to be due to rapidly progressive glomerulonephritis. Plasma exchange ...
Autor:
Pari V. Pandharipande, Andrew T. Trout, Pradeep Bhambhvani, Victorine V. Muse, James A. Brink, Lisa R. Delaney, Jay Pahade, Evan J. Zucker, Bin Zhang, Marilyn J. Goske
Publikováno v:
Radiology. 287:554-562
Purpose To identify what information patients and parents or caregivers found useful before an imaging examination, from whom they preferred to receive information, and how those preferences related to patient-specific variables including demographic
Autor:
Thanisa Tongbai, Carol C. Wu, Victorine V. Muse, Nantaka Kiranantawat, Shaunagh McDermott, Jo-Anne O. Shepard, Matthew D. Gilman
Publikováno v:
Korean Journal of Radiology
Objective To investigate the predictive factors for a non-diagnostic result and the final diagnosis of pulmonary lesions with an initial non-diagnostic result on CT-guided percutaneous transthoracic needle biopsy. Materials and methods All percutaneo
Autor:
Victorine V. Muse, Atul Padole, Subba R. Digumarthy, Fatemeh Homayounieh, Pooja Rao, Mannudeep K. Kalra, Chayanin Nitiwarangkul, Preetham Putha, Ramandeep Singh, Amita Sharma, John A. Patti
Publikováno v:
PLoS ONE
PLoS ONE, Vol 13, Iss 10, p e0204155 (2018)
PLoS ONE, Vol 13, Iss 10, p e0204155 (2018)
Background Deep learning (DL) based solutions have been proposed for interpretation of several imaging modalities including radiography, CT, and MR. For chest radiographs, DL algorithms have found success in the evaluation of abnormalities such as lu