Omid Mirzaei

According to our database, Omid Mirzaei authored at least 12 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Interpretable Machine Learning Framework for Predicting Spider Silk Toughness and Tensile Strength From Physicochemical and Genetic Features.

Omid Mirzaei, Ahmet Ilhan, Boran Sekeroglu

Concurr. Comput. Pract. Exp., January, 2026

2025

Diagnosis of sacroiliitis using MR images with a simplified custom deep learning model.

Selin Uzelaltinbulat, Yasemin Kucukciloglu, Ahmet Ilhan, Omid Mirzaei, Boran Sekeroglu

J. Supercomput., April, 2025

2024

Classification of H. pylori Infection from Histopathological Images Using Deep Learning.

Abdullahi Umar Ibrahim, Fikret Dirilenoglu, Uguray Payam Hacisalihoglu, Ahmet Ilhan, Omid Mirzaei

J. Imaging Inform. Medicine, 2024

Different Victims, Same Layout: Email Visual Similarity Detection for Enhanced Email Protection.

Sachin Shukla, Omid Mirzaei

CoRR, 2024

Poster: Different Victims, Same Layout: Email Visual Similarity Detection for Enhanced Email Protection.

Sachin Shukla, Omid Mirzaei

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

A powerful probabilistic model for noise analysis in medical images.

Mustafa Gürman, Bülent Bilgehan, Özlem Sabuncu, Omid Mirzaei

Int. J. Imaging Syst. Technol., May, 2023

2021

Preventing server-side request forgery attacks.

Bahruz Jabiyev, Omid Mirzaei, Amin Kharraz, Engin Kirda

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

SCRUTINIZER: Detecting Code Reuse in Malware via Decompilation and Machine Learning.

Omid Mirzaei, Roman Vasilenko, Engin Kirda, Long Lu, Amin Kharraz

Proceedings of the Detection of Intrusions and Malware, and Vulnerability Assessment, 2021

2019

AndrODet: An adaptive Android obfuscation detector.

Omid Mirzaei, José María de Fuentes, Juan E. Tapiador, Lorena González-Manzano

Future Gener. Comput. Syst., 2019

AndrEnsemble: Leveraging API Ensembles to Characterize Android Malware Families.

Omid Mirzaei, Guillermo Suarez-Tangil, José María de Fuentes, Juan Tapiador, Gianluca Stringhini

Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security, 2019

2017

TriFlow: Triaging Android Applications using Speculative Information Flows.

Omid Mirzaei, Guillermo Suarez-Tangil, Juan E. Tapiador, José María de Fuentes

Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security, 2017

2016

Privacy Models in Wireless Sensor Networks: A Survey.

José María de Fuentes, Lorena González-Manzano, Omid Mirzaei

J. Sensors, 2016