Meysam Tavakoli

Orcid: 0000-0002-7475-2139

According to our database1, Meysam Tavakoli authored at least 11 papers between 2013 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
The role of diffusion tensor imaging and tractography in multidisciplinary brain tumor management: a systematic review.
Biomed. Signal Process. Control., 2026

2022
A comprehensive survey on computer-aided diagnostic systems in diabetic retinopathy screening.
CoRR, 2022

Medical image registration using unsupervised deep neural network: A scoping literature review.
Biomed. Signal Process. Control., 2022

Automated optic disk detection in fundus images using a combination of deep learning and local histogram matching.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021
Unsupervised automated retinal vessel segmentation based on Radon line detector and morphological reconstruction.
IET Image Process., 2021

Automated Microaneurysms Detection in Retinal Images Using Radon Transform and Supervised Learning: Application to Mass Screening of Diabetic Retinopathy.
IEEE Access, 2021

2020
The efficacy of microaneurysms detection with and without vessel segmentation in color retinal images.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Comparison different vessel segmentation methods in automated microaneurysms detection in retinal images using convolutional neural networks.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2017
Effect of two different preprocessing steps in detection of optic nerve head in fundus images.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2014
Computationally efficient optic nerve head detection in retinal fundus images.
Biomed. Signal Process. Control., 2014

2013
A complementary method for automated detection of microaneurysms in fluorescein angiography fundus images to assess diabetic retinopathy.
Pattern Recognit., 2013


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