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Shumoos Al-Fahdawi

Showing results (1-10 of 7) with videos related to

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International Journal of Intelligent Robotics and Applications|May 5, 2021
A modern deep learning framework in robot vision for automated bean leaves diseases detectionSudad H Abed, Alaa S Al-Waisy, Hussam J Mohammed, et al.
Computer Methods and Programs in Biomedicine|May 6, 2018
A fully automated cell segmentation and morphometric parameter system for quantifying corneal endothelial cell morphologyShumoos Al-Fahdawi, Rami Qahwaji, Alaa S Al-Waisy, et al.
Computer Methods and Programs in Biomedicine|September 3, 2016
A fully automatic nerve segmentation and morphometric parameter quantification system for early diagnosis of diabetic neuropathy in corneal imagesShumoos Al-Fahdawi, Rami Qahwaji, Alaa S Al-Waisy, et al.
Scientific Reports|August 25, 2025
A deep learning framework for automated early diagnosis and classification of skin cancer lesions in dermoscopy imagesAlaa S Al-Waisy, Shumoos Al-Fahdawi, Mohammed I Khalaf, et al.
Soft Computing|November 30, 2020
COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays imagesAlaa S Al-Waisy, Shumoos Al-Fahdawi, Mazin Abed Mohammed, et al.
Soft Computing|January 23, 2025
Retraction Note: COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays imagesAlaa S Al-Waisy, Shumoos Al-Fahdawi, Mazin Abed Mohammed, et al.
Scientific Reports|November 28, 2018
Corneal Confocal Microscopy detects a Reduction in Corneal Endothelial Cells and Nerve Fibres in Patients with Acute Ischemic StrokeAdnan Khan, Saadat Kamran, Naveed Akhtar, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
International Journal of Intelligent Robotics and Applications|May 5, 2021
A modern deep learning framework in robot vision for automated bean leaves diseases detectionSudad H Abed, Alaa S Al-Waisy, Hussam J Mohammed, et al.
Computer Methods and Programs in Biomedicine|May 6, 2018
A fully automated cell segmentation and morphometric parameter system for quantifying corneal endothelial cell morphologyShumoos Al-Fahdawi, Rami Qahwaji, Alaa S Al-Waisy, et al.
Computer Methods and Programs in Biomedicine|September 3, 2016
A fully automatic nerve segmentation and morphometric parameter quantification system for early diagnosis of diabetic neuropathy in corneal imagesShumoos Al-Fahdawi, Rami Qahwaji, Alaa S Al-Waisy, et al.
Scientific Reports|August 25, 2025
A deep learning framework for automated early diagnosis and classification of skin cancer lesions in dermoscopy imagesAlaa S Al-Waisy, Shumoos Al-Fahdawi, Mohammed I Khalaf, et al.
Soft Computing|November 30, 2020
COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays imagesAlaa S Al-Waisy, Shumoos Al-Fahdawi, Mazin Abed Mohammed, et al.
Soft Computing|January 23, 2025
Retraction Note: COVID-CheXNet: hybrid deep learning framework for identifying COVID-19 virus in chest X-rays imagesAlaa S Al-Waisy, Shumoos Al-Fahdawi, Mazin Abed Mohammed, et al.
Scientific Reports|November 28, 2018
Corneal Confocal Microscopy detects a Reduction in Corneal Endothelial Cells and Nerve Fibres in Patients with Acute Ischemic StrokeAdnan Khan, Saadat Kamran, Naveed Akhtar, et al.
Pageof 1