most citedDRDrV3: Complete Lesion Detection in Fundus Images Using Mask R-CNN, Transfer Learning, and LSTM

9 citations · 16 across the 6 of their papers we have counts for

collaborators

8 papers

cs.LG2021

Data Analytics for Smart cities: Challenges and Promises

Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, M. Hadi Amini +1

The explosion of advancements in artificial intelligence, sensor technologies, and wireless communication activates ubiquitous sensing through distributed sensors. These sensors ar…

cs.AI2021

Embodied AI-Driven Operation of Smart Cities: A Concise Review

Farzan Shenavarmasouleh, Farid Ghareh Mohammadi, M. Hadi Amini +1

A smart city can be seen as a framework, comprised of Information and Communication Technologies (ICT). An intelligent network of connected devices that collect data with their sen…

eess.IV2021★ 9 cited

DRDrV3: Complete Lesion Detection in Fundus Images Using Mask R-CNN, Transfer Learning, and LSTM

Farzan Shenavarmasouleh, Farid Ghareh Mohammadi, M. Hadi Amini +3

Medical Imaging is one of the growing fields in the world of computer vision. In this study, we aim to address the Diabetic Retinopathy (DR) problem as one of the open challenges i…

cs.CR2020★ 7 cited

Malware Detection using Artificial Bee Colony Algorithm

Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, M. Hadi Amini +1

Malware detection has become a challenging task due to the increase in the number of malware families. Universal malware detection algorithms that can detect all the malware famili…

eess.IV2020

DRDr II: Detecting the Severity Level of Diabetic Retinopathy Using Mask RCNN and Transfer Learning

Farzan Shenavarmasouleh, Farid Ghareh Mohammadi, M. Hadi Amini +1

DRDr II is a hybrid of machine learning and deep learning worlds. It builds on the successes of its antecedent, namely, DRDr, that was trained to detect, locate, and create segment…

stat.OT2020

Causes of Misleading Statistics and Research Results Irreproducibility: A Concise Review

Farzan Shenavarmasouleh, Hamid R. Arabnia

Bad statistics make research papers unreproducible and misleading. For the most part, the reasons for such misusage of numerical data have been found and addressed years ago by exp…