Ramin Ranjbarzadeh

According to our database, Ramin Ranjbarzadeh authored at least 19 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Deep Learning Approach for Robust, Multi-oriented, and Curved Text Detection.

Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, Shokofeh Anari, Sadaf Safavi, Nazanin Tataei Sarshar, Erfan Babaee Tirkolaee, Malika Bendechache

Cogn. Comput., July, 2024

Brain tumor segmentation based on optimized convolutional neural network and improved chimp optimization algorithm.

Ramin Ranjbarzadeh, Payam Zarbakhsh, Annalina Caputo, Erfan Babaee Tirkolaee, Malika Bendechache

Comput. Biol. Medicine, January, 2024

A deep learning model for ergonomics risk assessment and sports and health monitoring in self-occluded images.

Amirhossein Aghamohammadi, Seyed Aliasghar Beheshti Shirazi, Seyed Yashar Banihashem, Saman Shishechi, Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, Malika Bendechache

Signal Image Video Process., 2024

Intelligent Medication Compliance System for Patients Using IoT.

Suja A. Alex, Ramin Ranjbarzadeh, Gabriel Caumo Vaz, Gabriel Gomes de Oliveira, Angela Maria Alves

Proceedings of the 7th International Conference on Information and Computer Technologies, 2024

Combining DeepLabV3 with Attention Mechanisms for Accurate Brain Tumor Segmentation: Insights from BraTS 2020 and a Private Clinical Dataset.

Ramin Ranjbarzadeh, Ayse Keles, Pinar Akdemir Ozisik, Harun Demirci, Halil Kul, Martin Crane, Shokofeh Anari, Malika Bendechache

Proceedings of the 12th European Workshop on Visual Information Processing, 2024

Secure and Decentralized Collaboration in Oncology: A Blockchain Approach to Tumor Segmentation.

Ramin Ranjbarzadeh, Ayse Keles, Martin Crane, Shokofeh Anari, Malika Bendechache

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023

MRFE-CNN: multi-route feature extraction model for breast tumor segmentation in Mammograms using a convolutional neural network.

Ramin Ranjbarzadeh, Nazanin Tataei Sarshar, Saeid Jafarzadeh Ghoushchi, Mohammad Saleh Esfahani, Mahboub Parhizkar, Yaghoub Pourasad, Shokofeh Anari, Malika Bendechache

Ann. Oper. Res., September, 2023

ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition.

Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, Nazanin Tataei Sarshar, Erfan Babaee Tirkolaee, Sadia Samar Ali, Teerath Kumar, Malika Bendechache

Artif. Intell. Rev., September, 2023

An extended approach to the diagnosis of tumour location in breast cancer using deep learning.

Saeid Jafarzadeh Ghoushchi, Ramin Ranjbarzadeh, Saeed Aghasoleimani Najafabadi, Elnaz Osgooei, Erfan Babaee Tirkolaee

J. Ambient Intell. Humaniz. Comput., July, 2023

HECON: Weight assessment of the product loyalty criteria considering the customer decision's halo effect using the convolutional neural networks.

Gholamreza Haseli, Ramin Ranjbarzadeh, Mostafa Hajiaghaei-Keshteli, Saeid Jafarzadeh Ghoushchi, Aliakbar Hasani, Muhammet Deveci, Weiping Ding

Inf. Sci., April, 2023

Understanding EEG signals for subject-wise Definition of Armoni Activities.

Aditya Singh, Ramin Ranjbarzadeh, Kislay Raj, Teerath Kumar, Arunabha M. Roy

CoRR, 2023

Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods.

Ramin Ranjbarzadeh, Shadi Dorosti, Saeid Jafarzadeh Ghoushchi, Annalina Caputo, Erfan Babaee Tirkolaee, Sadia Samar Ali, Zahra Arshadi, Malika Bendechache

Comput. Biol. Medicine, 2023

Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools.

Ramin Ranjbarzadeh, Annalina Caputo, Erfan Babaee Tirkolaee, Saeid Jafarzadeh Ghoushchi, Malika Bendechache

Comput. Biol. Medicine, 2023

2022

Precise Single-stage Detector.

Aisha Chandio, Gong Gui, Teerath Kumar, Irfan Ullah, Ramin Ranjbarzadeh, Arunabha M. Roy, Akhtar Hussain, Yao Shen

CoRR, 2022

2021

TPCNN: Two-path convolutional neural network for tumor and liver segmentation in CT images using a novel encoding approach.

Amirhossein Aghamohammadi, Ramin Ranjbarzadeh, Fatemeh Naiemi, Marzieh Mogharrebi, Shadi Dorosti, Malika Bendechache

Expert Syst. Appl., 2021

A New Algorithm for Digital Image Encryption Based on Chaos Theory.

Yaghoub Pourasad, Ramin Ranjbarzadeh, Abbas Mardani

Entropy, 2021

Presentation of a Segmentation Method for a Diabetic Retinopathy Patient's Fundus Region Detection Using a Convolutional Neural Network.

Amin Valizadeh, Saeid Jafarzadeh Ghoushchi, Ramin Ranjbarzadeh, Yaghoub Pourasad

Comput. Intell. Neurosci., 2021

Osteolysis: A Literature Review of Basic Science and Potential Computer-Based Image Processing Detection Methods.

Soroush Baseri Saadi, Ramin Ranjbarzadeh, Ozeir kazemi, Amir Amirabadi, Saeid Jafarzadeh Ghoushchi, Oveis Kazemi, Sonya Azadikhah, Malika Bendechache

Comput. Intell. Neurosci., 2021

Time-Frequency Analysis of EEG Signals and GLCM Features for Depth of Anesthesia Monitoring.

Seyed Mortaza Mousavi, Akbar Asgharzadeh-Bonab, Ramin Ranjbarzadeh

Comput. Intell. Neurosci., 2021