Shahab Aslani
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Explore the profile of Shahab Aslani including associated specialties, affiliations and a list of published articles.
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11
Citations
81
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Recent Articles
1.
Vasudev P, Xu M, Azimbagarad M, Aslani S, Wang Y, Chapman R, et al.
Methods Inf Med
. 2025 Feb;
PMID: 39965755
Background: Fibrotic lung disease is a progressive illness that causes scarring and ultimately respiratory failure, with irreversible damage by the time its diagnosed on computed tomography imaging. Recent research postulates...
2.
Yagis E, Aslani S, Jain Y, Zhou Y, Rahmani S, Brunet J, et al.
Sci Rep
. 2024 Nov;
14(1):27258.
PMID: 39516256
Automated blood vessel segmentation is critical for biomedical image analysis, as vessel morphology changes are associated with numerous pathologies. Still, precise segmentation is difficult due to the complexity of vascular...
3.
Jain Y, Walsh C, Yagis E, Aslani S, Nandanwar S, Zhou Y, et al.
bioRxiv
. 2024 Sep;
PMID: 39253466
Efficient algorithms are needed to segment vasculature in new three-dimensional (3D) medical imaging datasets at scale for a wide range of research and clinical applications. Manual segmentation of vessels in...
4.
Yagis E, Aslani S, Jain Y, Zhou Y, Rahmani S, Brunet J, et al.
Res Sq
. 2024 Jul;
PMID: 39070623
Automated blood vessel segmentation is critical for biomedical image analysis, as vessel morphology changes are associated with numerous pathologies. Still, precise segmentation is difficult due to the complexity of vascular...
5.
Aslani S, Alluri P, Gudmundsson E, Chandy E, McCabe J, Devaraj A, et al.
Comput Med Imaging Graph
. 2024 Jun;
116:102399.
PMID: 38833895
Lung cancer screening (LCS) using annual computed tomography (CT) scanning significantly reduces mortality by detecting cancerous lung nodules at an earlier stage. Deep learning algorithms can improve nodule malignancy risk...
6.
Moris D, de Moura J, Aslani S, Jacob J, Novo J, Ortega M
Digit Health
. 2024 Feb;
10:20552076231225853.
PMID: 38313365
Background: The COVID-19 can cause long-term symptoms in the patients after they overcome the disease. Given that this disease mainly damages the respiratory system, these symptoms are often related with...
7.
Rangelov B, Young A, Lilaonitkul W, Aslani S, Taylor P, Gudmundsson E, et al.
Sci Rep
. 2023 Oct;
13(1):18376.
PMID: 37884602
No abstract available.
8.
Lu Y, Aslani S, Emberton M, Alexander D, Jacob J
IEEE Access
. 2023 Oct;
10:34369-34378.
PMID: 37810591
In this study, the long-term mortality in the National Lung Screening Trial (NLST) was investigated using a deep learning-based method. Binary classification of the non-lung-cancer mortality (i.e. cardiovascular and respiratory...
9.
Lu Y, Aslani S, Zhao A, Shahin A, Barber D, Emberton M, et al.
Heliyon
. 2023 Aug;
9(8):e18695.
PMID: 37600411
In this study, we present a hybrid CNN-RNN approach to investigate long-term survival of subjects in a lung cancer screening study. Subjects who died of cardiovascular and respiratory causes were...
10.
Rangelov B, Young A, Lilaonitkul W, Aslani S, Taylor P, Gudmundsson E, et al.
Sci Rep
. 2023 Jun;
13(1):9986.
PMID: 37339958
The COVID-19 pandemic has been a great challenge to healthcare systems worldwide. It highlighted the need for robust predictive models which can be readily deployed to uncover heterogeneities in disease...