Search Results for author: Ata Jodeiri

Found 7 papers, 0 papers with code

Estimation of Acetabular Version from Anteroposterior Pelvic Radiograph Employing Deep Learning

no code implementations14 Nov 2021 Ata Jodeiri, Hadi Seyedarabi, Fatemeh Shahbazi, Seyed Mohammad Mahdi Hashemi, Seyyedhossein Shafiei

The predicted errors in the estimation of right and left angles using the proposed method of deep learning are in the accurate region of error (<=3 degrees) which shows the ability of the proposed method in measuring anatomical version based on AP images.

Multi-Scale Convolutional Neural Network for Automated AMD Classification using Retinal OCT Images

no code implementations6 Oct 2021 Saman Sotoudeh-Paima, Ata Jodeiri, Fedra Hajizadeh, Hamid Soltanian-Zadeh

The workload of specialists and the healthcare system in this field has increased in recent years mainly due to the prevalence of population aging worldwide and the chronic nature of AMD.

Automatic Ship Classification Utilizing Bag of Deep Features

no code implementations23 Feb 2021 Sadegh Soleimani Pour, Ata Jodeiri, Hossein Rashidi, Seyed Mostafa Mirhassani, Hoda Kheradfallah, Hadi Seyedarabi

In this paper, by applying the "bag of words" (BoW), a new method is presented that its words are the features that are obtained using pre-trained models of deep convolutional networks.

Classification General Classification

Classification of Breast Cancer Lesions in Ultrasound Images by using Attention Layer and loss Ensembles in Deep Convolutional Neural Networks

no code implementations23 Feb 2021 Elham Yousef Kalaf, Ata Jodeiri, Seyed Kamaledin Setarehdan, Ng Wei Lin, Kartini Binti Rahman, Nur Aishah Taib, Sarinder Kaur Dhillon

The proposed model in this study outperformed other modified VGG16 architectures with the accuracy of 93% and also the results are competitive with other state of the art frameworks for classification of breast cancer lesions.

Classification General Classification +1

Accurate Stress Assessment based on functional Near Infrared Spectroscopy using Deep Learning Approach

no code implementations14 Feb 2020 Mahya Mirbagheri, Ata Jodeiri, Naser Hakimi, Vahid Zakeri, Seyed Kamaledin Setarehdan

Employment of the proposed deep learning system trained on the fNIRS measurements leads to higher stress classification accuracy than the existing methods proposed in fNIRS studies in which the same experimental procedure has been employed.

General Classification

Region-based Convolution Neural Network Approach for Accurate Segmentation of Pelvic Radiograph

no code implementations29 Oct 2019 Ata Jodeiri, Reza A. Zoroofi, Yuta Hiasa, Masaki Takao, Nobuhiko Sugano, Yoshinobu Sato, Yoshito Otake

With the increasing usage of radiograph images as a most common medical imaging system for diagnosis, treatment planning, and clinical studies, it is increasingly becoming a vital factor to use machine learning-based systems to provide reliable information for surgical pre-planning.

Data Augmentation Multi-Task Learning +1

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