167 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shaheed Rajaei Cardiovascular Medical and Research CenterIR6 papers
- Kerman University of Medical SciencesIR5 papers
- University of British ColumbiaCA5 papers
- University Hospital of GenevaCH4 papers
- University Medical Center GroningenNL4 papers
- University of GenevaCH4 papers
- University of GroningenNL4 papers
- Deakin UniversityAU3 papers
- Shahid Beheshti UniversityIR3 papers
- Tehran University of Medical SciencesIR3 papers
- University of Southern DenmarkDK3 papers
- University of TehranIR3 papers
20 papers
One-step decellularization of porcine uterine tissue for developing alginate-decellularized uterine ECM hydrogel for uterine tissue engineering
Abbas Fazel Anvari Yazdi, Kobra Tahermanesh, Maryam Ejlali +6
Decellularized uterine extracellular matrix (dUECM) is promising for uterine tissue engineering because of its inherent bioactivity and structural complexity. However, transforming…
Diagnostic performance of deep learning for predicting glioma isocitrate dehydrogenase and 1p/19q co-deletion in MRI: a systematic review and meta-analysis
Somayeh Farahani, Marjaneh Hejazi, Mehnaz Tabassum +3
Objectives We aimed to evaluate the diagnostic performance of deep learning (DL)-based radiomics models for the noninvasive prediction of isocitrate dehydrogenase (IDH) mutation an…
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge
Dominic LaBella, Ujjwal Baid, Omaditya Khanna +119
We describe the design and results from the BraTS 2023 Intracranial Meningioma Segmentation Challenge. The BraTS Meningioma Challenge differed from prior BraTS Glioma challenges in…
A web-based gamification of upper extremity robotic rehabilitation
Payman Sharafianardakani, Hadi Moradi, Fariba Bahrami
In recent years, gamification has become very popular for rehabilitating different cognitive and motor problems. It has been shown that rehabilitation is effective when it starts e…
MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Jianning Li, Zongwei Zhou, Jiancheng Yang +154
Prior to the deep learning era, shape was commonly used to describe the objects. Nowadays, state-of-the-art (SOTA) algorithms in medical imaging are predominantly diverging from co…
A Telecare System for Use in Traditional Persian Medicine
Vahid Reza Nafisi, Roshanak Ghods
Persian Medicine (PM) uses wrist temperature/humidity and pulse to determine a person's health status and temperament. However, the diagnosis may depend on the physician's interpre…
Numerical Investigation of Airborne Infection Risk in an Elevator Cabin under Different Ventilation Designs
Ata Nazari, Changchang Wang, Ruichen He +2
Airborne transmission of SARS-CoV-2 via virus-laden aerosols in enclosed spaces poses a significant concern. Elevators, commonly utilized enclosed spaces in modern tall buildings,…
FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model
Javad Hassannataj Joloudari, Hamid Saadatfar, Mohammad GhasemiGol +6
Cardiovascular disease is one of the most challenging diseases in middle-aged and older people, which causes high mortality. Coronary artery disease (CAD) is known as a common card…
Combining a Convolutional Neural Network with Autoencoders to Predict the Survival Chance of COVID-19 Patients
Fahime Khozeimeh, Danial Sharifrazi, Navid Hoseini Izadi +10
COVID-19 has caused many deaths worldwide. The automation of the diagnosis of this virus is highly desired. Convolutional neural networks (CNNs) have shown outstanding classificati…
Teaching Turn-Taking Skills to Children with Autism using a Parrot-Like Robot
Pegah Soleiman, Hadi Moradi, Maryam Mahmoudi +2
Robot Assisted Therapy is a new paradigm in many therapies such as the therapy of children with autism spectrum disorder. In this paper we present the use of a parrot-like robot as…
Accurate and Rapid Diagnosis of COVID-19 Pneumonia with Batch Effect Removal of Chest CT-Scans and Interpretable Artificial Intelligence
Rassa Ghavami Modegh, Mehrab Hamidi, Saeed Masoudian +22
COVID-19 is a virus with high transmission rate that demands rapid identification of the infected patients to reduce the spread of the disease. The current gold-standard test, Reve…
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari +12
Coronavirus, or COVID-19, is a hazardous disease that has endangered the health of many people around the world by directly affecting the lungs. COVID-19 is a medium-sized, coated…
Understanding Epidemic Data and Statistics: A case study of COVID-19
Amirhoshang Hoseinpour Dehkordi, Majid Alizadeh, Pegah Derakhshan +2
The 2019-Novel-Coronavirus (COVID-19) has affected 116 countries (By March 12) and out of more than 118,000 confirmed cases. Understanding the transmission dynamics of the infectio…
Quantifying Cortical Bone Free Water Using short echo time (STE-MRI) at 1.5T
Shahrokh Abbasi-Rad, Atena Akbari, Malakeh Malekzadeh +3
Purpose: The purpose of our study was to use Dual-TR STE-MR protocol as a clinical tool for cortical bone free water quantification at 1.5T and validate it by comparing the obtaine…
Non-Invasive Fuhrman Grading of Clear Cell Renal Cell Carcinoma Using Computed Tomography Radiomics Features and Machine Learning
Mostafa Nazari, Isaac Shiri, Ghasem Hajianfar +4
Purpose: To identify optimal classification methods for computed tomography (CT) radiomics-based preoperative prediction of clear cells renal cell carcinoma (ccRCC) grade. Methods…
Cardiac SPECT Radiomics Features Repeatability and Reproducibility: A Multi Scanner Phantom Study
Mohammad Edalat-Javid, Isaac Shiri, Ghasem Hajianfar +7
Background: The aim of this study was to assess the robustness of cardiac SPECT radiomics features against changes in imaging settings including acquisition and reconstruction sett…
Non-Invasive MGMT Status Prediction in GBM Cancer Using Magnetic Resonance Images (MRI) Radiomics Features: Univariate and Multivariate Machine Learning Radiogenomics Analysis
Ghasem Hajianfar, Isaac Shiri, Hassan Maleki +4
Background and aim: This study aimed to predict methylation status of the O-6 methyl guanine-DNA methyl transferase (MGMT) gene promoter status by using MRI radiomics features, as…
Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches
Isaac Shiri, Hassan Maleki, Ghasem Hajianfar +5
Aim: In the present work, we aimed to evaluate a comprehensive radiomics framework that enabled prediction of EGFR and KRAS mutation status in NSCLC cancer patients based on PET an…
Exploring the context of visual information seeking
Shahram Sedghi, Zeinab Shourmeij, Iman Tahamtan
Information seeking is an interactive behaviour of the end users with information systems, which occurs in a real environment known as context. Context affects information-seeking…
Sample and Filter: Nonparametric Scene Parsing via Efficient Filtering
Mohammad Najafi, Sarah Taghavi Namin, Mathieu Salzmann +1
Scene parsing has attracted a lot of attention in computer vision. While parametric models have proven effective for this task, they cannot easily incorporate new training data. By…