Mohammad Rahimzadeh
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GitHub
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Email
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Education
Iran University of Science and Technology Bachelor's degree, Telecommunications Engineering
Experiences
Reviewer for several well-known journals
Data Science Freelancer
Research Assistant at Iran University of Science and Technology (Mar 2019 - Feb 2020)
Top Skills and Interests
Deep Learning, Computer Vision, Data Mining, Machine Learning, Image Processing, Python programming (almost
all the libraries related to machine vision and deep learning),
Publications:
1- Rahimzadeh, M. and Attar, A., 2020. A modified deep convolutional neural network for
detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of
Xception and ResNet50V2. Informatics in Medicine Unlocked, p.100360. (doi:
https://doi.org/10.1016/j.imu-- Rahimzadeh, M., Attar, A. and Sakhaei, S.M., 2020. A Fully Automated Deep Learning-based
Network For Detecting COVID-19 from a New And Large Lung CT Scan Dataset. medRxiv.
(doi: https://doi.org/10.1101/-) (submitted to Engineering Applications of
Artificial Intelligence)
3- Rahimzadeh, M. and Attar, A., 2020. Sperm detection and tracking in phase-contrast
microscopy image sequences using deep learning and modified csr-dcf. arXiv preprint
arXiv:-. (link: https://arxiv.org/abs/-) (submitted to Expert Systems with
Applications)
4- Rahimzadeh, M. and Attar, A., 2020. Detecting and Counting Pistachios based on Deep
Learning. arXiv preprint arXiv:-. (link: https://arxiv.org/abs/-) (Submitted
to Machine learning with applications)
1
Honors & Awards
Ranked 377th among more than 150,000 participants in the Nationwide University entrance exam
Peer review activities (certificates available at Publons profile)
IEEE Transactions on Medical Imaging
International Journal of Imaging Systems and Technology
International Journal of Medical Informatics
Artificial Intelligence Review
Pattern Analysis and Applications
Knowledge-based Systems
Computers in Biology and Medicine
Summary of some of the accomplished projects
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A novelty for motile objects detection
(https://github.com/mr7495/RetinaNet_Motile_objects_Detection)
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COVID-19 detection from CT Scans (https://github.com/mr7495/COVID-CT-Code)
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COVID-19 detection from x-ray images with deep learning (https://github.com/mr7495/covid19)
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Detecting Autism disease, with deep learning, through a played game by the patient
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Implementation of a deep classifier using transfer learning for re-identification of more than 6000
persons
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New counter algorithm for pistachios (https://github.com/mr7495/Pistachio-Counting)
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New multi-object tracker (https://github.com/mr7495/Sperm_detection_and_tracking)
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Smart Home system
2
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Sperm detection and tracking (https://github.com/mr7495/Sperm_detection_and_tracking)
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Real-time Masked and Non-Masked people detection for Tehran Subway
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Smart counting system for Tehran Subway
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Object recognition in Satellite images (Google Earth Images)
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Real-time Face Identification and eye detection using Raspberry Pi
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Implementation of Human Action-Recognition systems
3
