Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Tyler, Bradshaw"'
Autor:
Kaelyn V. Becker, Eduardo Aluicio-Sarduy, Tyler Bradshaw, Samuel A. Hurley, Aeli P. Olson, Kendall E. Barrett, Jeanine Batterton, Paul A. Ellison, Todd E. Barnhart, Ali Pirasteh, Jonathan W. Engle
Publikováno v:
Frontiers in Chemistry, Vol 11 (2023)
Introduction:43Sc and 44gSc are both positron-emitting radioisotopes of scandium with suitable half-lives and favorable positron energies for clinical positron emission tomography (PET) imaging. Irradiation of isotopically enriched calcium targets ha
Externí odkaz:
https://doaj.org/article/3f5b9682387844a0b987e64508d88774
Publikováno v:
Tzu-Chi Medical Journal, Vol 33, Iss 2, Pp 188-194 (2021)
Objectives: This study investigates traumatic experiences in a sample of high-risk Taiwanese adolescents in rural areas of Taiwan; correlation with psychosocial factors is assessed with focus on social support and caregiver alcohol use. Materials and
Externí odkaz:
https://doaj.org/article/4903706a83624f8bb117959f6fdf1db8
Autor:
Sue Y. Yi, Ali Pirasteh, James Wang, Tyler Bradshaw, Justin J. Jeffery, Brian R. Barnett, Nicholas A. Stowe, Alan B. McMillan, Eugenio I. Vivas, Federico E. Rey, John-Paul J. Yu
Publikováno v:
Frontiers in Radiology, Vol 2 (2022)
The gut microbiome profoundly influences brain structure and function. The gut microbiome is hypothesized to play a key role in the etiopathogenesis of neuropsychiatric and neurodegenerative illness; however, the contribution of an intact gut microbi
Externí odkaz:
https://doaj.org/article/3b1ce28b6d824c6d86150ebd7c6a71fb
Autor:
Babak, Saboury, Tyler, Bradshaw, Ronald, Boellaard, Irène, Buvat, Joyita, Dutta, Mathieu, Hatt, Abhinav K, Jha, Quanzheng, Li, Chi, Liu, Helena, McMeekin, Michael A, Morris, Neeta, Pandit-Taskar, Peter J H, Scott, Eliot, Siegel, John J, Sunderland, Richard L, Wahl, Sven, Zuehlsdorff, Arman, Rahmim
Publikováno v:
Saboury, B, Bradshaw, T, Boellaard, R, Buvat, I, Dutta, J, Hatt, M, Jha, A K, Li, Q, Liu, C, McMeekin, H, Morris, M A, Scott, P J H, Siegel, E, Sunderland, J J, Pandit-Taskar, N, Wahl, R L, Zuehlsdorff, S & Rahmim, A 2023, ' Artificial Intelligence in Nuclear Medicine : Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem ', Journal of nuclear medicine : official publication, Society of Nuclear Medicine, vol. 64, no. 2, pp. 188-196 . https://doi.org/10.2967/jnumed.121.263703
Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 64(2), 188-196
Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 64(2), 188-196
Trustworthiness is a core tenet of medicine. The patient-physician relationship is evolving from a dyad to a broader ecosystem of healthcare. With the emergence of artificial intelligence (AI) in medicine, the elements of trust must be revisited. We
Publikováno v:
EJNMMI Physics, Vol 5, Iss 1, Pp 1-15 (2018)
Abstract Background To develop and evaluate the feasibility of a data-driven deep learning approach (deepAC) for positron-emission tomography (PET) image attenuation correction without anatomical imaging. A PET attenuation correction pipeline was dev
Externí odkaz:
https://doaj.org/article/155c3fa7ba2f4e15bb83761480ead468
Autor:
Tyler Bradshaw, Alan B. McMillan
Publikováno v:
PET Clinics. 16:471-482
Artificial intelligence (AI) has seen an explosion in interest within nuclear medicine. This interest is driven by the rapid progress and eye-catching achievements of machine learning algorithms. The growing foothold of AI in molecular imaging is exp
Publikováno v:
Computerized Medical Imaging and Graphics. 107:102227
Autor:
Alan B. McMillan, Tyler Bradshaw
Publikováno v:
PET clinics. 16(4)
Recent developments in artificial intelligence (AI) technology have enabled new developments that can improve attenuation and scatter correction in PET and single-photon emission computed tomography (SPECT). These technologies will enable the use of
Autor:
Ciprian Catana, Tyler Bradshaw, Keisha C. McCall, Dustin Osborne, Osama Mawlawi, Munir Ghesani, Chi Liu, Jerold W. Wallis, Jing Tang, R. Glenn Wells, Richard Laforest, Mathieu Hatt, Ran Klein
Publikováno v:
Journal of nuclear medicine technology. 49(1)
The current pandemic has created a situation where nuclear medicine practitioners and medical physicists read or process nuclear medicine images remotely from their home office. This article presents recommendations on the components and specificatio
Publikováno v:
Stat Med
Quantitative imaging biomarkers (QIB) are extracted from medical images in radiomics for a variety of purposes including noninvasive disease detection, cancer monitoring, and precision medicine. The existing methods for QIB extraction tend to be ad-h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc7b19ee6c947619a36227572c61a827
https://europepmc.org/articles/PMC8848296/
https://europepmc.org/articles/PMC8848296/