Ahmed Abdulkadir
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Explore the profile of Ahmed Abdulkadir including associated specialties, affiliations and a list of published articles.
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54
Citations
1449
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Recent Articles
1.
Antoniades M, Srinivasan D, Wen J, Erus G, Abdulkadir A, Mamourian E, et al.
EBioMedicine
. 2024 Oct;
109():105399.
PMID: 39437659
Background: Brain ageing is highly heterogeneous, as it is driven by a variety of normal and neuropathological processes. These processes may differentially affect structural and functional brain ageing across individuals,...
2.
Wen J, Yang Z, Nasrallah I, Cui Y, Erus G, Srinivasan D, et al.
Transl Psychiatry
. 2024 Oct;
14(1):420.
PMID: 39368996
Alzheimer's disease (AD) is associated with heterogeneous atrophy patterns. We employed a semi-supervised representation learning technique known as Surreal-GAN, through which we identified two latent dimensional representations of brain atrophy...
3.
Yang Z, Wen J, Erus G, Govindarajan S, Melhem R, Mamourian E, et al.
Nat Med
. 2024 Aug;
30(10):3015-3026.
PMID: 39147830
Brain aging process is influenced by various lifestyle, environmental and genetic factors, as well as by age-related and often coexisting pathologies. Magnetic resonance imaging and artificial intelligence methods have been...
4.
Jermain P, Oswald M, Langdun T, Wright S, Khan A, Stadelmann T, et al.
Sci Rep
. 2024 Jul;
14(1):16389.
PMID: 39013980
Fluorescence polarization (Fpol) imaging of methylene blue (MB) is a promising quantitative approach to thyroid cancer detection. Clinical translation of MB Fpol technology requires reduction of the data analysis time...
5.
Skampardoni I, Nasrallah I, Abdulkadir A, Wen J, Melhem R, Mamourian E, et al.
JAMA Psychiatry
. 2024 Feb;
81(5):456-467.
PMID: 38353984
Importance: Brain aging elicits complex neuroanatomical changes influenced by multiple age-related pathologies. Understanding the heterogeneity of structural brain changes in aging may provide insights into preclinical stages of neurodegenerative diseases....
6.
Yang Z, Wen J, Erus G, Govindarajan S, Melhem R, Mamourian E, et al.
medRxiv
. 2024 Jan;
PMID: 38234857
Brain aging is a complex process influenced by various lifestyle, environmental, and genetic factors, as well as by age-related and often co-existing pathologies. MRI and, more recently, AI methods have...
7.
Yang Z, Wen J, Abdulkadir A, Cui Y, Erus G, Mamourian E, et al.
Nat Commun
. 2024 Jan;
15(1):354.
PMID: 38191573
Disease heterogeneity has been a critical challenge for precision diagnosis and treatment, especially in neurologic and neuropsychiatric diseases. Many diseases can display multiple distinct brain phenotypes across individuals, potentially reflecting...
8.
Wen J, Nasrallah I, Abdulkadir A, Satterthwaite T, Yang Z, Erus G, et al.
Proc Natl Acad Sci U S A
. 2023 Dec;
120(52):e2300842120.
PMID: 38127979
Normal and pathologic neurobiological processes influence brain morphology in coordinated ways that give rise to patterns of structural covariance (PSC) across brain regions and individuals during brain aging and diseases....
9.
Rathore S, Iftikhar M, Chaddad A, Singh A, Gillani Z, Abdulkadir A
Comput Methods Programs Biomed
. 2023 Sep;
242:107812.
PMID: 37757566
Background: Magnetic resonance imaging (MRI), digital pathology imaging (PATH), demographics, and IDH mutation status predict overall survival (OS) in glioma. Identifying and characterizing predictive features in the different modalities may...
10.
Wyss P, Ginsbourger D, Shou H, Davatzikos C, Kloppel S, Abdulkadir A
Sci Rep
. 2023 Apr;
13(1):6406.
PMID: 37076487
Effective clinical decision procedures must balance multiple competing objectives such as time-to-decision, acquisition costs, and accuracy. We describe and evaluate POSEIDON, a data-driven method for PrOspective SEquentIal DiagnOsis with Neutral...