Zobrazeno 1 - 10
of 50
pro vyhledávání: '"K. K. Fields"'
Autor:
Paniz Sabeghi, Ketki K. Kinkar, Gloria del Rosario Castaneda, Liesl S. Eibschutz, Brandon K. K. Fields, Bino A. Varghese, Dakshesh B. Patel, Ali Gholamrezanezhad
Publikováno v:
Frontiers in Radiology, Vol 4 (2024)
Recent advancements in artificial intelligence (AI) and machine learning offer numerous opportunities in musculoskeletal radiology to potentially bolster diagnostic accuracy, workflow efficiency, and predictive modeling. AI tools have the capability
Externí odkaz:
https://doaj.org/article/b5cdfcf8b8754515949946e6e7fa8175
Publikováno v:
Frontiers in Radiology, Vol 3 (2024)
Artificial intelligence (AI) applications in breast imaging span a wide range of tasks including decision support, risk assessment, patient management, quality assessment, treatment response assessment and image enhancement. However, their integratio
Externí odkaz:
https://doaj.org/article/0e412d8f7fc640249189ce4c9ff86389
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:
Case Reports in Hepatology, Vol 2021 (2021)
Veillonella species are commensal bacteria of the human oral, gut, and vaginal microbiota that are rarely identified as clinically relevant pathogens. Here, we describe a novel case of Veillonella atypica bacteremia in a patient with biopsy-proven al
Externí odkaz:
https://doaj.org/article/e77b5d1032bd4424b4d876b88485b390
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:
Veronica Frank, Anjali Doshi, Natalie L Demirjian, Brandon K K Fields, Catherine Song, Xiaomeng Lei, Sravanthi Reddy, Bhushan Desai, Drayton C Harvey, Steven Cen, Ali Gholamrezanezhad
Publikováno v:
World Journal of Virology. 11:150-169
The coronavirus disease 2019 (COVID-19) pandemic altered education, exams, and residency applications for United States medical students.To determine the specific impact of the pandemic on US medical students and its correlation to their anxiety leve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac899b8ca204f55058810515a58b5b2a
https://doi.org/10.5501/wjv.v11.i3.150
https://doi.org/10.5501/wjv.v11.i3.150
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
Autor:
Marielena Rivas, Xiaomeng Lei, Manju Aron, Steven Cen, Imran Siddiqui, Vinay Duddalwar, Suhn K. Rhie, Derek Liu, Felix Y. Yap, Inderbir S. Gill, Darryl Hwang, Natalie L. Demirjian, Brandon K. K. Fields, Haris Zahoor, Bino Varghese, Mihir M. Desai, Sharath S. Reddy
Publikováno v:
European Radiology. 32:2552-2563
To evaluate the utility of CT-based radiomics signatures in discriminating low-grade (grades 1–2) clear cell renal cell carcinomas (ccRCC) from high-grade (grades 3–4) and low TNM stage (stages I–II) ccRCC from high TNM stage (stages III–IV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f735d21f25a4ccdc9116d201cef05e87
https://doi.org/10.1007/s00330-021-08344-4
https://doi.org/10.1007/s00330-021-08344-4
Autor:
Ernesto Ayala, C. Tate, Janelle Perkins, Steven A. Goldstein, Teresa Field, K K Fields, R. Sandin, John N. Greene
Publikováno v:
Bone Marrow Transplantation. 37:851-856
Despite significant advances in prevention and therapy, cytomegalovirus (CMV) infection continues to be an important cause of morbidity and mortality in the hematopoietic stem cell transplant (HSCT) recipient. The standard drug for pre-emptive therap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f7cc7e7e16563e728b352d38c4969d0
https://doi.org/10.1038/sj.bmt.1705341
https://doi.org/10.1038/sj.bmt.1705341