65 citations · 78 across the 12 of their papers we have counts for
12 papers
Medical image registration using unsupervised deep neural network: A scoping literature review
Samaneh Abbasi, Meysam Tavakoli, Hamid Reza Boveiri +5
In medicine, image registration is vital in image-guided interventions and other clinical applications. However, it is a difficult subject to be addressed which by the advent of ma…
A comprehensive survey on computer-aided diagnostic systems in diabetic retinopathy screening
Meysam Tavakoli, Patrick Kelley
Diabetes Mellitus (DM) can lead to significant microvasculature disruptions that eventually causes diabetic retinopathy (DR), or complications in the eye due to diabetes. If left u…
The Efficacy of Microaneurysms Detection With and Without Vessel Segmentation in Color Retinal Images
Meysam Tavakoli, Mahdieh Nazar, Alireza Mehdizadeh
Computer-Aided Diagnosis systems are required to extract suitable information about retina and its changes. In particular, identifying objects of interest such as lesions and anato…
Comparison Different Vessel Segmentation Methods in Automated Microaneurysms Detection in Retinal Images using Convolutional Neural Networks
Meysam Tavakoli, Mahdieh Nazar
Image processing techniques provide important assistance to physicians and relieve their workload in different tasks. In particular, identifying objects of interest such as lesions…
Comparing Different Preprocessing Methods in Automated Segmentation of Retinal Vasculature
Meysam Tavakoli, Faraz Kalantari, Alireza Golestaneh
Computer methods and image processing provide medical doctors assistance at any time and relieve their workload, especially for iterative processes like identifying objects of inte…
Automated Optic Nerve Head Detection Based on Different Retinal Vasculature Segmentation Methods and Mathematical Morphology
Meysam Tavakoli, Mahdieh Nazar, Alireza Golestaneh +1
Computer vision and image processing techniques provide important assistance to physicians and relieve their workload in different tasks. In particular, identifying objects of inte…
Automated Detection of Microaneurysms in Color Fundus Images using Deep Learning with Different Preprocessing Approaches
Meysam Tavakoli, Sina Jazani, Mahdieh Nazar
Imaging methods by using computer techniques provide doctors assistance at any time and relieve their workload, especially for iterative processes like identifying objects of inter…
Automated Fovea Detection Based on Unsupervised Retinal Vessel Segmentation Method
Meysam Tavakoli, Patrick Kelley, Mahdieh Nazar +1
The Computer-Assisted Diagnosis systems could save workloads and give objective diagnostic to ophthalmologists. At first, feature extraction is a fundamental step. One of these ret…
Computationally Efficient Optic Nerve Head Detection in Retinal Fundus Images
Reza Pourreza-Shahri, Meysam Tavakoli, Nasser Kehtarnavaz
This paper presents a computationally efficient method for the detection of optic nerve head in both color fundus and fluorescein angiography images. It involves a combination of R…
A complementary method for automated detection of microaneurysms in fluorescein angiography fundus images to assess diabetic retinopathy
Meysam Tavakoli, Reza Pourreza Shahri, Hamidreza Pourreza +3
Early detection of microaneurysms (MAs), the first sign of Diabetic Retinopathy (DR), is an essential first step in automated detection of DR to prevent vision loss and blindness.…
Quantitative Kinetic Models from Intravital Microcopy: A Case Study Using Hepatic Transport
Meysam Tavakoli, Konstantinos Tsekouras, Richard Day +2
The liver performs critical physiological functions, including metabolizing and removing substances, such as toxins and drugs, from the bloodstream. Hepatotoxicity itself is intima…
Single Molecule Data Analysis: An Introduction
Meysam Tavakoli, J. Nicholas Taylor, Chun-Biu Li +2
We review methods of data analysis for biophysical data with a special emphasis on single molecule applications. Our review is intended for anyone, from student to established rese…