Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Harpal Singh Sandhu"'
Autor:
Harpal Singh Sandhu, Joshua Lambert, Zach Steckler, Lee Park, Arnold Stromberg, Julio Ramirez, Chi-Fu Jeffrey Yang
Publikováno v:
PLoS ONE, Vol 18, Iss 3, p e0282961 (2023)
The COVID-19 pandemic remains the pre-eminent global health problem, and yet after more than three years there is still no prophylactic agent against the disease aside from vaccines. The objective of this study was to evaluate whether pre-existing, o
Externí odkaz:
https://doaj.org/article/3a6948ee14594f77bfd17a777a1251f7
Publikováno v:
Bioengineering, Vol 10, Iss 7, p 823 (2023)
Accurate noninvasive diagnosis of retinal disorders is required for appropriate treatment or precision medicine. This work proposes a multi-stage classification network built on a multi-scale (pyramidal) feature ensemble architecture for retinal imag
Externí odkaz:
https://doaj.org/article/9288d0da808e497fb093a26f96a08e64
Autor:
Mohamed Elsharkawy, Ahmed Sharafeldeen, Fatma Taher, Ahmed Shalaby, Ahmed Soliman, Ali Mahmoud, Mohammed Ghazal, Ashraf Khalil, Norah Saleh Alghamdi, Ahmed Abdel Khalek Abdel Razek, Eman Alnaghy, Moumen T. El-Melegy, Harpal Singh Sandhu, Guruprasad A. Giridharan, Ayman El-Baz
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract The primary goal of this manuscript is to develop a computer assisted diagnostic (CAD) system to assess pulmonary function and risk of mortality in patients with coronavirus disease 2019 (COVID-19). The CAD system processes chest X-ray data
Externí odkaz:
https://doaj.org/article/398c0b79cd6d4c88a462d85aae3e8566
Autor:
Hisham Abdeltawab, Fahmi Khalifa, Yaser ElNakieb, Ahmed Elnakib, Fatma Taher, Norah Saleh Alghamdi, Harpal Singh Sandhu, Ayman El-Baz
Publikováno v:
Bioengineering, Vol 9, Iss 10, p 536 (2022)
In this paper, a machine learning-based system for the prediction of the required level of respiratory support in COVID-19 patients is proposed. The level of respiratory support is divided into three classes: class 0 which refers to minimal support,
Externí odkaz:
https://doaj.org/article/c6b6a13da6664f85aa8e0d0b2f87a93c
Autor:
Sayed Haggag, Ahmed Elnakib, Ahmed Sharafeldeen, Mohamed Elsharkawy, Fahmi Khalifa, Rania Kamel Farag, Mohamed A. Mohamed, Harpal Singh Sandhu, Wathiq Mansoor, Ashraf Sewelam, Ayman El-Baz
Publikováno v:
Applied Sciences, Vol 12, Iss 16, p 8326 (2022)
Diabetic retinopathy (DR) is a major public health problem and the leading cause of vision loss in the working age population. This paper presents a novel deep learning system for the detection and diagnosis of DR using optical coherence tomography (
Externí odkaz:
https://doaj.org/article/1f4c3b80edb240b6b0ffe91c539a8949
Autor:
Mohamed Elsharkawy, Mostafa Elrazzaz, Ahmed Sharafeldeen, Marah Alhalabi, Fahmi Khalifa, Ahmed Soliman, Ahmed Elnakib, Ali Mahmoud, Mohammed Ghazal, Eman El-Daydamony, Ahmed Atwan, Harpal Singh Sandhu, Ayman El-Baz
Publikováno v:
Sensors, Vol 22, Iss 9, p 3490 (2022)
Diabetic retinopathy (DR) is a devastating condition caused by progressive changes in the retinal microvasculature. It is a leading cause of retinal blindness in people with diabetes. Long periods of uncontrolled blood sugar levels result in endothel
Externí odkaz:
https://doaj.org/article/c5118ee2d2a94e00b91c8357d5d8b79b
Autor:
Ibrahim Yasser, Fahmi Khalifa, Hisham Abdeltawab, Mohammed Ghazal, Harpal Singh Sandhu, Ayman El-Baz
Publikováno v:
Sensors, Vol 22, Iss 6, p 2342 (2022)
Diabetic retinopathy (DR) refers to the ophthalmological complications of diabetes mellitus. It is primarily a disease of the retinal vasculature that can lead to vision loss. Optical coherence tomography angiography (OCTA) demonstrates the ability t
Externí odkaz:
https://doaj.org/article/62687ee47dde4fdeb9b7bd0f3067b390
Autor:
Mohamed Elsharkawy, Ahmed Sharafeldeen, Ahmed Soliman, Fahmi Khalifa, Mohammed Ghazal, Eman El-Daydamony, Ahmed Atwan, Harpal Singh Sandhu, Ayman El-Baz
Publikováno v:
Diagnostics, Vol 12, Iss 2, p 461 (2022)
Early diagnosis of diabetic retinopathy (DR) is of critical importance to suppress severe damage to the retina and/or vision loss. In this study, an optical coherence tomography (OCT)-based computer-aided diagnosis (CAD) method is proposed to detect
Externí odkaz:
https://doaj.org/article/3efd6f23cfab4a0cb04720f32f68a276
Autor:
Mohamed Elsharkawy, Mostafa Elrazzaz, Mohammed Ghazal, Marah Alhalabi, Ahmed Soliman, Ali Mahmoud, Eman El-Daydamony, Ahmed Atwan, Aristomenis Thanos, Harpal Singh Sandhu, Guruprasad Giridharan, Ayman El-Baz
Publikováno v:
Diagnostics, Vol 11, Iss 12, p 2313 (2021)
In developed countries, age-related macular degeneration (AMD), a retinal disease, is the main cause of vision loss in the elderly. Optical Coherence Tomography (OCT) is currently the gold standard for assessing individuals for initial AMD diagnosis.
Externí odkaz:
https://doaj.org/article/05c3632fe55c4490b655901ed00497f7
Autor:
Sayed Haggag, Fahmi Khalifa, Hisham Abdeltawab, Ahmed Elnakib, Mohammed Ghazal, Mohamed A. Mohamed, Harpal Singh Sandhu, Norah Saleh Alghamdi, Ayman El-Baz
Publikováno v:
Sensors, Vol 21, Iss 16, p 5457 (2021)
Uveitis is one of the leading causes of severe vision loss that can lead to blindness worldwide. Clinical records show that early and accurate detection of vitreous inflammation can potentially reduce the blindness rate. In this paper, a novel framew
Externí odkaz:
https://doaj.org/article/14f78fcba784479c84ecd52593ab33bd