Zobrazeno 1 - 10
of 13
pro vyhledávání: '"K Elizabeth Hawk"'
Publikováno v:
Journal of Medical Radiation Sciences, Vol 70, Iss S2, Pp 77-88 (2023)
Abstract Conventional radiomics in nuclear medicine involve hand‐crafted and computer‐assisted regions of interest. Recent developments in artificial intelligence (AI) have seen the emergence of AI‐augmented segmentation and extraction of lower
Externí odkaz:
https://doaj.org/article/0d0ba24fa6b74c58a9c830fae2341741
Autor:
Parisa, Mazaheri, K Elizabeth, Hawk, Eric Joseph, Ledermann, Kay Denise Spong, Lozano, Kristin Kelly, Porter
Publikováno v:
Clinical Imaging. 94:56-61
There is an ongoing trend in the direction of flexible work arrangements in which employees can decide where and when to work. Multiple studies have demonstrated a significant decrease in associated job-related stress, improved job satisfaction, job
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93b5f9af5e8a0101cde3adc123365798
https://doi.org/10.1016/j.clinimag.2022.11.012
https://doi.org/10.1016/j.clinimag.2022.11.012
Publikováno v:
Journal of Medical Radiation Sciences. 70:77-88
Conventional radiomics in nuclear medicine involve hand-crafted and computer-assisted regions of interest. Recent developments in artificial intelligence (AI) have seen the emergence of AI-augmented segmentation and extraction of lower order traditio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17517000cd9258fc95b9e4b47f4fd826
https://doi.org/10.1002/jmrs.626
https://doi.org/10.1002/jmrs.626
Autor:
Ali Rashidi, Lucia Baratto, Ashok Joseph Theruvath, Elton Benjamin Greene, K Elizabeth Hawk, Rong Lu, Michael P. Link, Sheri L. Spunt, Heike E. Daldrup-Link
Publikováno v:
European Radiology. 32:4967-4979
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6acb14cbd051f875507bc0db3da7e4f7
https://doi.org/10.1007/s00330-021-08529-x
https://doi.org/10.1007/s00330-021-08529-x
Autor:
Ali Rashidi, Lucia Baratto, Ashok Joseph Theruvath, Elton Benjamin Greene, Praveen Jayapal, K. Elizabeth Hawk, Rong Lu, Jayne Seekins, Sheri L. Spunt, Allison Pribnow, Heike E. Daldrup-Link
Publikováno v:
Radiol Imaging Cancer
PURPOSE: To evaluate if ferumoxytol can improve the detection of bone marrow metastases at diffusion-weighted (DW) MRI in pediatric and young adult patients with cancer. MATERIALS AND METHODS: In this secondary analysis of a prospective institutional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd227226423c9ac13d320be7218ff9e9
https://europepmc.org/articles/PMC10077085/
https://europepmc.org/articles/PMC10077085/
Autor:
K. Elizabeth Hawk, Lisa J. States, Louise Kiru, Lucia Baratto, Sergios Gatidis, Heike E. Daldrup-Link, Jing Qi
Publikováno v:
J Nucl Med
Integrated PET/MRI has shown significant clinical value for staging and restaging of children with cancer by providing functional and anatomic tumor evaluation with a 1-stop imaging test and with up to 80% reduced radiation exposure compared with (18
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e9a3ff7e2892d9c762e04cf10ab3c55
https://doi.org/10.2967/jnumed.120.259747
https://doi.org/10.2967/jnumed.120.259747
Publikováno v:
European Journal of Nuclear Medicine and Molecular Imaging. 47:748-752
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4310704f1092e7f329d7200ef717dd37
https://doi.org/10.1007/s00259-020-04678-1
https://doi.org/10.1007/s00259-020-04678-1
Autor:
Ali, Rashidi, Lucia, Baratto, Ashok Joseph, Theruvath, Elton Benjamin, Greene, K Elizabeth, Hawk, Rong, Lu, Michael P, Link, Sheri L, Spunt, Heike E, Daldrup-Link
Publikováno v:
Eur Radiol
OBJECTIVES: To compare the diagnostic accuracy of 2-[(18)F]fluoro-2-deoxy-D-glucose enhanced positron emission tomography (2-[(18)F]FDG-PET) and diffusion-weighted magnetic resonance imaging (DW-MRI) for the detection of bone marrow metastases in chi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::5b1556436806d80691b175ca98012afa
https://pubmed.ncbi.nlm.nih.gov/35099603
https://pubmed.ncbi.nlm.nih.gov/35099603
Publikováno v:
Journal of Medical Imaging and Radiation Sciences. 50:477-487
Artificial intelligence (AI) in medical imaging is a potentially disruptive technology. An understanding of the principles and application of radiomics, artificial neural networks, machine learning, and deep learning is an essential foundation to wea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17c8e9e6f387193e8e4f9303e3a0f014
https://doi.org/10.1016/j.jmir.2019.09.005
https://doi.org/10.1016/j.jmir.2019.09.005
Autor:
Sergios Gatidis, Avnesh S. Thakor, Yan-Ran Joyce Wang, Santosh Gummidipundi, Lucia Baratto, Rong Lu, Jordi Garcia-Diaz, K. Elizabeth Hawk, Ashok J. Theruvath, Heike E. Daldrup-Link, Allison Pribnow, Daniel L. Rubin
Publikováno v:
Eur J Nucl Med Mol Imaging
PURPOSE: To generate diagnostic (18)F-FDG PET images of pediatric cancer patients from ultra-low dose (18)F-FDG PET input images, using a novel artificial intelligence (AI) algorithm. METHODS: We used whole body (18)F-FDG-PET/MRI scans of 33 children
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea5201e894876c8becff3b334e3b9998
https://europepmc.org/articles/PMC8266729/
https://europepmc.org/articles/PMC8266729/