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Surbhi Bhatia Khan

Explore the profile of Surbhi Bhatia Khan including associated specialties, affiliations and a list of published articles. Areas
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Articles 30
Citations 33
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Recent Articles
1.
Mishra S, Das H, Mohapatra S, Khan S, Alojail M, Saraee M
Sci Rep . 2025 Mar; 15(1):7438. PMID: 40032864
The Indoor Positioning System (IPS) based technology involves the positioning system using sensors and actuators, where the Global Positioning System (GPS) lacks. The IPS system can be used in buildings,...
2.
Karthick Raghunath K, Khan S, Mahesh T, Almusharraf A, Jeet R, Quasim M, et al.
J Neurosci Methods . 2025 Feb; 417:110391. PMID: 39993532
Background: Transcranial Direct Current Stimulation (tDCS) and Transcranial Magnetic Stimulation (tMS) have received widespread clinical use as techniques within a Non-Invasive Brain Stimulation (NIBS) domain, whose primary focus is modulation...
3.
R N, Khan S, Kumar A, T R M, Alojail M, Sangwan S, et al.
SLAS Technol . 2024 Dec; 31:100238. PMID: 39722407
This study delves into the transformative potential of Machine Learning (ML) and Natural Language Processing (NLP) within the pharmaceutical industry, spotlighting their significant impact on enhancing medical research methodologies and...
4.
Sathya R, Mahesh T, Khan S, Malibari A, Asiri F, Ur Rehman A, et al.
Front Med (Lausanne) . 2024 Nov; 11:1487713. PMID: 39606635
The classification of brain tumors from medical imaging is pivotal for accurate medical diagnosis but remains challenging due to the intricate morphologies of tumors and the precision required. Existing methodologies,...
5.
Mughal F, He J, Das B, Dharejo F, Zhu N, Khan S, et al.
Sci Rep . 2024 Nov; 14(1):28746. PMID: 39567565
In the rapidly growing Internet of Things (IoT) landscape, federated learning (FL) plays a crucial role in enhancing the performance of heterogeneous edge computing environments due to its scalability, robustness,...
6.
Almarri B, Naveen Kumar B, Aditya Pai H, Khan S, Asiri F, Mahesh T
Front Med (Lausanne) . 2024 Nov; 11:1470941. PMID: 39497847
Retinal vessel segmentation is a critical task in fundus image analysis, providing essential insights for diagnosing various retinal diseases. In recent years, deep learning (DL) techniques, particularly Generative Adversarial Networks...
7.
Almarri B, Gupta G, Kumar R, Vandana V, Asiri F, Khan S
BMC Med Imaging . 2024 Oct; 24(1):272. PMID: 39390427
No abstract available.
8.
Almarri B, Gupta G, Kumar R, Vandana V, Asiri F, Khan S
BMC Med Imaging . 2024 Sep; 24(1):248. PMID: 39289621
Breast cancer prediction and diagnosis are critical for timely and effective treatment, significantly impacting patient outcomes. Machine learning algorithms have become powerful tools for improving the prediction and diagnosis of...
9.
AlBalawi E, Neal Joshua E, Joys N, Khan S, Shaiba H, Ahmad S, et al.
Front Med (Lausanne) . 2024 Aug; 11:1429291. PMID: 39099589
Introduction: Our research addresses the critical need for accurate segmentation in medical healthcare applications, particularly in lung nodule detection using Computed Tomography (CT). Our investigation focuses on determining the particle...
10.
S Y, Jeya J, T R M, Khan S, Alzahrani S, Alojail M
BMC Med Imaging . 2024 Jul; 24(1):195. PMID: 39085829
No abstract available.