Khan M Iftekharuddin
Overview
Explore the profile of Khan M Iftekharuddin including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
35
Citations
1466
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Temtam A, Witherow M, Ma L, Sadique M, Moeller F, Iftekharuddin K
ArXiv
. 2024 Nov;
PMID: 39502886
Understanding the neurobiology of opioid use disorder (OUD) using resting-state functional magnetic resonance imaging (rs-fMRI) may help inform treatment strategies to improve patient outcomes. Recent literature suggests temporal characteristics of...
2.
Reza S, Islam A, Iftekharuddin K
Adv Neurobiol
. 2024 Mar;
36:469-486.
PMID: 38468048
This chapter discusses multifractal texture estimation and characterization of brain lesions (necrosis, edema, enhanced tumor, nonenhanced tumor, etc.) in magnetic resonance (MR) images. This work formulates the complex texture of...
3.
Farzana W, Basree M, Diawara N, Shboul Z, Dubey S, Lockhart M, et al.
Cancers (Basel)
. 2023 Sep;
15(18).
PMID: 37760604
Recent clinical research describes a subset of glioblastoma patients that exhibit REP prior to the start of radiation therapy. Current literature has thus far described this population using clinicopathologic features....
4.
Mehta R, Filos A, Baid U, Sako C, McKinley R, Rebsamen M, et al.
J Mach Learn Biomed Imaging
. 2023 Mar;
2022.
PMID: 36998700
Deep learning (DL) models have provided state-of-the-art performance in various medical imaging benchmarking challenges, including the Brain Tumor Segmentation (BraTS) challenges. However, the task of focal pathology multi-compartment segmentation (e.g.,...
5.
Samad M, Hossain R, Iftekharuddin K
Proc Int Jt Conf Neural Netw
. 2022 Sep;
2021.
PMID: 36157884
The concept of weight pruning has shown success in neural network model compression with marginal loss in classification performance. However, similar concepts have not been well recognized in improving unsupervised...
6.
Vidyaratne L, Carpenter A, Powers T, Tennant C, Iftekharuddin K, Rahman M, et al.
Front Artif Intell
. 2022 Jan;
4:718950.
PMID: 35047766
This work investigates the efficacy of deep learning (DL) for classifying C100 superconducting radio-frequency (SRF) cavity faults in the Continuous Electron Beam Accelerator Facility (CEBAF) at Jefferson Lab. CEBAF is...
7.
Shboul Z, Diawara N, Vossough A, Chen J, Iftekharuddin K
Front Med (Lausanne)
. 2021 Sep;
8:705071.
PMID: 34490297
RNA sequencing (RNAseq) is a recent technology that profiles gene expression by measuring the relative frequency of the RNAseq reads. RNAseq read counts data is increasingly used in oncologic care...
8.
Pei L, Bakas S, Vossough A, Reza S, Davatzikos C, Iftekharuddin K
Biomed Signal Process Control
. 2021 Aug;
55.
PMID: 34354762
This work proposes a novel framework for brain tumor segmentation prediction in longitudinal multi-modal MRI scans, comprising two methods; feature fusion and joint label fusion (JLF). The first method fuses...
9.
Pei L, Jones K, Shboul Z, Chen J, Iftekharuddin K
Front Oncol
. 2021 Jul;
11:668694.
PMID: 34277415
Gliomas are primary brain tumors that originate from glial cells. Classification and grading of these tumors is critical to prognosis and treatment planning. The current criteria for glioma classification in...
10.
Vidyaratne L, Alam M, Glandon A, Shabalina A, Tennant C, Iftekharuddin K
IEEE Trans Neural Netw Learn Syst
. 2021 Apr;
33(11):6215-6225.
PMID: 33900927
Efficient processing of large-scale time-series data is an intricate problem in machine learning. Conventional sensor signal processing pipelines with hand-engineered feature extraction often involve huge computational costs with high dimensional...