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Year Number of Results
2014 1
2015 1
2017 2
2019 2
2020 4
2021 0
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Page 1
Deep Learning Techniques for Automatic Detection of Embryonic Neurodevelopmental Disorders.
Attallah O, Sharkas MA, Gadelkarim H. Attallah O, et al. Diagnostics (Basel). 2020 Jan 7;10(1):27. doi: 10.3390/diagnostics10010027. Diagnostics (Basel). 2020. PMID: 31936008 Free PMC article.
Fetal Brain Abnormality Classification from MRI Images of Different Gestational Age.
Attallah O, Sharkas MA, Gadelkarim H. Attallah O, et al. Brain Sci. 2019 Sep 12;9(9):231. doi: 10.3390/brainsci9090231. Brain Sci. 2019. PMID: 31547368 Free PMC article.
Breast Cancer Diagnosis Using an Efficient CAD System Based on Multiple Classifiers.
Ragab DA, Sharkas M, Attallah O. Ragab DA, et al. Among authors: attallah o. Diagnostics (Basel). 2019 Oct 26;9(4):165. doi: 10.3390/diagnostics9040165. Diagnostics (Basel). 2019. PMID: 31717809 Free PMC article.
A BCI System Based on Motor Imagery for Assisting People with Motor Deficiencies in the Limbs.
Attallah O, Abougharbia J, Tamazin M, Nasser AA. Attallah O, et al. Brain Sci. 2020 Nov 17;10(11):864. doi: 10.3390/brainsci10110864. Brain Sci. 2020. PMID: 33212777 Free PMC article.
An Effective Mental Stress State Detection and Evaluation System Using Minimum Number of Frontal Brain Electrodes.
Attallah O. Attallah O. Diagnostics (Basel). 2020 May 9;10(5):292. doi: 10.3390/diagnostics10050292. Diagnostics (Basel). 2020. PMID: 32397517 Free PMC article.
MULTI-DEEP: A novel CAD system for coronavirus (COVID-19) diagnosis from CT images using multiple convolution neural networks.
Attallah O, Ragab DA, Sharkas M. Attallah O, et al. PeerJ. 2020 Sep 30;8:e10086. doi: 10.7717/peerj.10086. eCollection 2020. PeerJ. 2020. PMID: 33062453 Free PMC article.
Using multiple classifiers for predicting the risk of endovascular aortic aneurysm repair re-intervention through hybrid feature selection.
Attallah O, Karthikesalingam A, Holt PJ, Thompson MM, Sayers R, Bown MJ, Choke EC, Ma X. Attallah O, et al. Proc Inst Mech Eng H. 2017 Nov;231(11):1048-1063. doi: 10.1177/0954411917731592. Epub 2017 Sep 19. Proc Inst Mech Eng H. 2017. PMID: 28925817
Feature selection through validation and un-censoring of endovascular repair survival data for predicting the risk of re-intervention.
Attallah O, Karthikesalingam A, Holt PJE, Thompson MM, Sayers R, Bown MJ, Choke EC, Ma X. Attallah O, et al. BMC Med Inform Decis Mak. 2017 Aug 3;17(1):115. doi: 10.1186/s12911-017-0508-3. BMC Med Inform Decis Mak. 2017. PMID: 28774329 Free PMC article.
Bayesian neural network approach for determining the risk of re-intervention after endovascular aortic aneurysm repair.
Attallah O, Ma X. Attallah O, et al. Proc Inst Mech Eng H. 2014 Sep;228(9):857-66. doi: 10.1177/0954411914549980. Epub 2014 Sep 11. Proc Inst Mech Eng H. 2014. PMID: 25212212
An Artificial Neural Network Stratifies the Risks of Reintervention and Mortality after Endovascular Aneurysm Repair; a Retrospective Observational study.
Karthikesalingam A, Attallah O, Ma X, Bahia SS, Thompson L, Vidal-Diez A, Choke EC, Bown MJ, Sayers RD, Thompson MM, Holt PJ. Karthikesalingam A, et al. Among authors: attallah o. PLoS One. 2015 Jul 15;10(7):e0129024. doi: 10.1371/journal.pone.0129024. eCollection 2015. PLoS One. 2015. PMID: 26176943 Free PMC article.
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