Daniel S Marcus
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Explore the profile of Daniel S Marcus including associated specialties, affiliations and a list of published articles.
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83
Citations
6414
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Recent Articles
1.
Akbari H, Bakas S, Sako C, Kazerooni A, Villanueva-Meyer J, Garcia J, et al.
Neuro Oncol
. 2024 Dec;
PMID: 39665363
Background: Glioblastoma is the most aggressive adult primary brain cancer, characterized by significant heterogeneity, posing challenges for patient management, treatment planning, and clinical trial stratification. Methods: We developed a highly...
2.
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,...
3.
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...
4.
Chakrabarty S, Abidi S, Mousa M, Mokkarala M, Kelsey M, LaMontagne P, et al.
Proc SPIE Int Soc Opt Eng
. 2024 Sep;
12469.
PMID: 39263425
Modern neuro-oncology workflows are driven by large collections of high-dimensional MRI data obtained using varying acquisition protocols. The concomitant heterogeneity of this data makes extensive manual curation and pre-processing imperative...
5.
Chakrabarty S, LaMontagne P, Shimony J, Marcus D, Sotiras A
Proc SPIE Int Soc Opt Eng
. 2024 Sep;
12465.
PMID: 39257452
Glioma is the most common form of brain tumor with a high degree of heterogeneity in imaging characteristics, treatment-response, and survival rate. An important factor causing this heterogeneity is the...
6.
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...
7.
Ghosh S, Dhar R, Marcus D, Sotiras A
Proc SPIE Int Soc Opt Eng
. 2024 Jul;
12465.
PMID: 39040978
An automated quality control (QC) system is essential to ensure streamlined head computed tomography (CT) scan interpretations that do not affect subsequent image analysis. Such a system is advantageous compared...
8.
Fan S, Ponisio M, Xiao P, Ha S, Chakrabarty S, Lee J, et al.
Radiology
. 2024 Jun;
311(3):e231442.
PMID: 38860897
Background Visual assessment of amyloid PET scans relies on the availability of radiologist expertise, whereas quantification of amyloid burden typically involves MRI for processing and analysis, which can be computationally...
9.
Muthusivarajan R, Celaya A, Yung J, Long J, Viswanath S, Marcus D, et al.
Med Phys
. 2024 Apr;
51(7):4898-4906.
PMID: 38640464
Background: Magnetic resonance imaging (MRI) scans are known to suffer from a variety of acquisition artifacts as well as equipment-based variations that impact image appearance and segmentation performance. It is...
10.
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....