output
20092025
most citedPneumonia Detection on chest X-ray images Using Ensemble of Deep Convolutional Neural Networks

187 citations

19 papers

nucl-th2025★ 1 cited

Comment on "Evaluation of kinetic freeze-out properties in different relativistic heavy-ion collision systems at \sqrtsNN = 200 GeV'' (Eur. Phys. J. Plus (2025) 140:179) https://doi.org/10.1140/epjp/s13360-025-06119-0

M. U. Ashraf

The comment raises serious concerns regarding the authors claims about the phase transition from the QGP phase to the hadron gas phase. Additionally, the comment critiques the fund…

astro-ph.GA2024★ 7 cited

JWST-ALMA Study of a Hub-Filament System in the Nascent Phase

N. K. Bhadari, L. K. Dewangan, O. R. Jadhav +7

Star clusters, including high-mass stars, form within hub-filament systems (HFSs). Observations of HFSs that remain unaffected by feedback from embedded stars are rare yet crucial…

hep-ph2024★ 4 cited

Analyzing the Correlation Between Thermal and Kinematic Parameters in Various Multiplicity Classes within 7 and 13 TeV pp Collisions

Muhammad Waqas, Wolfgang Bietenholz, Mohamed Bouzidi +3

We investigate the transverse momentum spectra of identified particles at 7 TeV and 13 TeV in pp collisions in the framework of the blast wave model with Tsallis statistics (TBW).…

eess.IV2023★ 187 cited

Pneumonia Detection on chest X-ray images Using Ensemble of Deep Convolutional Neural Networks

Alhassan Mabrouk, Rebeca P. Díaz Redondo, Abdelghani Dahou +2

Pneumonia is a life-threatening lung infection resulting from several different viral infections. Identifying and treating pneumonia on chest X-ray images can be difficult due to i…

cs.CV2023★ 36 cited

Medical Image Classification Using Transfer Learning and Chaos Game Optimization on the Internet of Medical Things

Alhassan Mabrouk, Abdelghani Dahou, Mohamed Abd Elaziz +2

The Internet of Medical Things (IoMT) has dramatically benefited medical professionals that patients and physicians can access from all regions. Although the automatic detection an…

cs.CV2023★ 37 cited

Ensemble Federated Learning: an approach for collaborative pneumonia diagnosis

Alhassan Mabrouk, Rebeca P. Díaz Redondo, Mohamed Abd Elaziz +1

Federated learning is a very convenient approach for scenarios where (i) the exchange of data implies privacy concerns and/or (ii) a quick reaction is needed. In smart healthcare s…