most citedImage Matching Using SIFT, SURF, BRIEF and ORB: Performance Comparison for Distorted Images

305 citations · 408 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2018★ 12 cited

Estimation and Tracking of AP-diameter of the Inferior Vena Cava in Ultrasound Images Using a Novel Active Circle Algorithm

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…

eess.IV2018★ 39 cited

Adaptive Polar Active Contour for Segmentation and Tracking in Ultrasound Videos

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 cong…

eess.IV2018★ 12 cited

Tracking of the Internal Jugular Vein in Ultrasound Images Using Optical Flow

Ebrahim Karami, Mohamed Shehata, Andrew Smith

Detection of relative changes in circulating blood volume is important to guide resuscitation and manage variety of medical conditions including sepsis, trauma, dialysis and conges…

cs.CV2017★ 305 cited

Image Matching Using SIFT, SURF, BRIEF and ORB: Performance Comparison for Distorted Images

Ebrahim Karami, Siva Prasad, Mohamed Shehata

Fast and robust image matching is a very important task with various applications in computer vision and robotics. In this paper, we compare the performance of three different imag…

eess.IV2017★ 13 cited

A Semi-Automated Technique for Internal Jugular Vein Segmentation in Ultrasound Images Using Active Contours

Ebrahim Karami, Mohamed Shehata, Peter McGuire +1

The assessment of the blood volume is crucial for the management of many acute and chronic diseases. Recent studies have shown that circulating blood volume correlates with the cro…

cs.CV2017★ 27 cited

Image Identification Using SIFT Algorithm: Performance Analysis against Different Image Deformations

Ebrahim Karami, Mohamed Shehata, Andrew Smith

Image identification is one of the most challenging tasks in different areas of computer vision. Scale-invariant feature transform is an algorithm to detect and describe local feat…