Ramin Ranjbarzadeh

Orcid: 0000-0001-7065-9060

According to our database1, Ramin Ranjbarzadeh authored at least 15 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
Brain tumor segmentation based on optimized convolutional neural network and improved chimp optimization algorithm.
Comput. Biol. Medicine, January, 2024

A deep learning model for ergonomics risk assessment and sports and health monitoring in self-occluded images.
Signal Image Video Process., 2024

2023
MRFE-CNN: multi-route feature extraction model for breast tumor segmentation in Mammograms using a convolutional neural network.
Ann. Oper. Res., September, 2023

ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition.
Artif. Intell. Rev., September, 2023

An extended approach to the diagnosis of tumour location in breast cancer using deep learning.
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.
Inf. Sci., April, 2023

Understanding EEG signals for subject-wise Definition of Armoni Activities.
CoRR, 2023

Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods.
Comput. Biol. Medicine, 2023

Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools.
Comput. Biol. Medicine, 2023

2022
Precise Single-stage Detector.
CoRR, 2022

2021
TPCNN: Two-path convolutional neural network for tumor and liver segmentation in CT images using a novel encoding approach.
Expert Syst. Appl., 2021

A New Algorithm for Digital Image Encryption Based on Chaos Theory.
Entropy, 2021

Presentation of a Segmentation Method for a Diabetic Retinopathy Patient's Fundus Region Detection Using a Convolutional Neural Network.
Comput. Intell. Neurosci., 2021

Osteolysis: A Literature Review of Basic Science and Potential Computer-Based Image Processing Detection Methods.
Comput. Intell. Neurosci., 2021

Time-Frequency Analysis of EEG Signals and GLCM Features for Depth of Anesthesia Monitoring.
Comput. Intell. Neurosci., 2021


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