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)

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)

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)

A New Algorithm for Digital Image Encryption Based on Chaos Theory. - Yaghoub Pourasad; Ramin Ranjbarzadeh; Abbas Mardani (Entropy, 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)

Precise Single-stage Detector. - Aisha Chandio; Gong Gui; Teerath Kumar; Irfan Ullah; Ramin Ranjbarzadeh; Arunabha M. Roy; Akhtar Hussain; Yao Shen (CoRR, 2022)

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)

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)

Understanding EEG signals for subject-wise Definition of Armoni Activities. - Aditya Singh; Ramin Ranjbarzadeh; Kislay Raj; Teerath Kumar; Arunabha M. Roy (CoRR, 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 001 (Inf. Sci., 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., 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., 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., 2023)

Secure and Decentralized Collaboration in Oncology: A Blockchain Approach to Tumor Segmentation. - Ramin Ranjbarzadeh; Ayse Keles; Martin Crane; Shokofeh Anari; Malika Bendechache (COMPSAC, 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 (EUVIP, 2024)

Intelligent Medication Compliance System for Patients Using IoT. - Suja A. Alex; Ramin Ranjbarzadeh; Gabriel Caumo Vaz; Gabriel Gomes de Oliveira; Angela Maria Alves (ICICT, 2024)

A Hybrid UNet and Vision Transformer Architecture with Multi-scale Fusion for Brain Tumor Segmentation. - Ramin Ranjbarzadeh; Shokofeh Anari; Martin Crane; Malika Bendechache (MICAD, 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)

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, 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., 2024)

Innovative fusion of VGG16, MobileNet, EfficientNet, AlexNet, and ResNet50 for MRI-based brain tumor identification. - Marjan Kia; Soroush Sadeghi; Homayoun Safarpour Motealegh Mahalegi; Mohammadreza Kamsari; Saeid Jafarzadeh Ghoushchi; Ramin Ranjbarzadeh (Iran J. Comput. Sci., 2025)