Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Text availability

Article attribute

Article type

Publication date

Search Results

17 results

Filters applied: . Clear all
Results are displayed in a computed author sort order. The Results By Year timeline is not available.
Page 1
Leadership and resilience in adversity: The impact of COVID-19 on radiography researchers and ways forward.
Stogiannos N, Skelton E, Rogers C, Sharma M, Papathanasiou S, Venter RV, Nugent B, Francis JM, Walton L, Sullivan CO, Abdurakman E, Mannion L, Thorne R, Malamateniou C. Stogiannos N, et al. J Med Imaging Radiat Sci. 2022 Dec;53(4S):S47-S52. doi: 10.1016/j.jmir.2022.09.011. Epub 2022 Sep 19. J Med Imaging Radiat Sci. 2022. PMID: 36266172 Free PMC article. No abstract available.
Toward Autism-Friendly Magnetic Resonance Imaging: Exploring Autistic Individuals' Experiences of Magnetic Resonance Imaging Scans in the United Kingdom, a Cross-Sectional Survey.
Stogiannos N, Harvey-Lloyd JM, Brammer A, Cleaver K, McNulty JP, Dos Reis CS, Nugent B, Simcock C, O'Regan T, Bowler D, Parveen S, Marais K, Pavlopoulou G, Papadopoulos C, Gaigg SB, Malamateniou C. Stogiannos N, et al. Autism Adulthood. 2023 Sep 1;5(3):248-262. doi: 10.1089/aut.2022.0051. Epub 2023 Aug 30. Autism Adulthood. 2023. PMID: 37663444
Breast MRI: Where are we currently standing?
Bougias H, Stogiannos N. Bougias H, et al. Among authors: stogiannos n. J Med Imaging Radiat Sci. 2022 Jun;53(2):203-211. doi: 10.1016/j.jmir.2022.03.072. Epub 2022 Apr 22. J Med Imaging Radiat Sci. 2022. PMID: 35469751 Review.
A cross-sectional study of explainable machine learning in Alzheimer's disease: diagnostic classification using MR radiomic features.
Leandrou S, Lamnisos D, Bougias H, Stogiannos N, Georgiadou E, Achilleos KG, Pattichis CS; Alzheimer’s Disease Neuroimaging Initiative. Leandrou S, et al. Among authors: stogiannos n. Front Aging Neurosci. 2023 Jun 7;15:1149871. doi: 10.3389/fnagi.2023.1149871. eCollection 2023. Front Aging Neurosci. 2023. PMID: 37358951 Free PMC article.
17 results