no code implementations • 24 Jul 2021 • Mohamed Shehata, Mohamed Taha Abou-Kreisha, Hany Elnashar
The performance of the developed systems has been tested on real images, and the experimental results demonstrate that the best detection accuracy rate for VLP is provided by using the deep learning method.
no code implementations • 13 Jan 2019 • Mohamed Shehata, Reda Abo-Al-Ez, Farid Zaghlool, Mohamed Taha Abou-Kreisha
Background image subtraction algorithm is a common approach which detects moving objects in a video sequence by finding the significant difference between the video frames and the static background model.
no code implementations • 5 May 2018 • Ebrahim Karami, Mohamed Shehata, Andrew Smith
Medical research suggests that the anterior-posterior (AP)-diameter of the inferior vena cava (IVC) and its associated temporal variation as imaged by bedside ultrasound is useful in guiding fluid resuscitation of the critically-ill patient.
no code implementations • 19 Mar 2018 • Ebrahim Karami, Mohamed Shehata, Andrew Smith
Detection of relative changes in circulating blood volume is important to guide resuscitation and manage a variety of medical conditions including sepsis, trauma, dialysis and congestive heart failure.
no code implementations • 7 Oct 2017 • Ebrahim Karami, Mohamed Shehata, Andrew Smith
Image identification is one of the most challenging tasks in different areas of computer vision.
1 code implementation • 7 Oct 2017 • Ebrahim Karami, Siva Prasad, Mohamed Shehata
Fast and robust image matching is a very important task with various applications in computer vision and robotics.