6 citations · 22 across the 7 of their papers we have counts for
7 papers
Advancements in Radiomics and Artificial Intelligence for Thyroid Cancer Diagnosis
Milad Yousefi, Shadi Farabi Maleki, Ali Jafarizadeh +6
Thyroid cancer is an increasing global health concern that requires advanced diagnostic methods. The application of AI and radiomics to thyroid cancer diagnosis is examined in this…
An Investigation of Hepatitis B Virus Genome using Markov Models
Khadijeh, Jahanian, Elnaz Shalbafian +3
The human genome encodes a family of editing enzymes known as APOBEC3 (apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like 3). Several family members, such as APO-BEC3…
Explainable Artificial Intelligence for Drug Discovery and Development -- A Comprehensive Survey
Roohallah Alizadehsani, Solomon Sunday Oyelere, Sadiq Hussain +5
The field of drug discovery has experienced a remarkable transformation with the advent of artificial intelligence (AI) and machine learning (ML) technologies. However, as these AI…
Machine Learning Meets Advanced Robotic Manipulation
Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi +3
Automated industries lead to high quality production, lower manufacturing cost and better utilization of human resources. Robotic manipulator arms have major role in the automation…
AI Framework for Early Diagnosis of Coronary Artery Disease: An Integration of Borderline SMOTE, Autoencoders and Convolutional Neural Networks Approach
Elham Nasarian, Danial Sharifrazi, Saman Mohsenirad +2
The accuracy of coronary artery disease (CAD) diagnosis is dependent on a variety of factors, including demographic, symptom, and medical examination, ECG, and echocardiography dat…
A Brief Review of Explainable Artificial Intelligence in Healthcare
Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Cifci +13
XAI refers to the techniques and methods for building AI applications which assist end users to interpret output and predictions of AI models. Black box AI applications in high-sta…