Iman Dehzangi

According to our database, Iman Dehzangi authored at least 16 papers between 2022 and 2025.

Collaborative distances:

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

2025

ROIsGAN: A Region Guided Generative Adversarial Framework for Murine Hippocampal Subregion Segmentation.

Sayed Mehedi Azim, Brian Corbett, Iman Dehzangi

CoRR, May, 2025

Edge-Based Learning for Improved Classification Under Adversarial Noise.

Manish Kansana, Keyan Alexander Rahimi, Elias Hossain, Iman Dehzangi, Noorbakhsh Amiri Golilarz

CoRR, April, 2025

ExShall-CNN: An Explainable Shallow Convolutional Neural Network for Medical Image Segmentation.

Vahid Khalkhali, Sayed Mehedi Azim, Iman Dehzangi

Mach. Learn. Knowl. Extr., 2025

Non-Invasive Glucose Monitoring Using Optical Sensors and Machine Learning: A Predictive Model for Nutritional and Health Assessment.

Heru Agus Santoso, Nur Setiawati Dewi, Susilo, Arga Dwi Pambudi, Hanif Pandu Suhito, Iman Dehzangi

IEEE Access, 2025

2024

Correction to: SleepBoost: a multi‑level tree‑based ensemble model for automatic sleep stage classification.

Akib Zaman, Shiu Kumar, Swakkhar Shatabda, Iman Dehzangi, Alok Sharma

Medical Biol. Eng. Comput., September, 2024

SleepBoost: a multi-level tree-based ensemble model for automatic sleep stage classification.

Akib Zaman, Shiu Kumar, Swakkhar Shatabda, Iman Dehzangi, Alok Sharma

Medical Biol. Eng. Comput., September, 2024

Explainable Machine Learning Model to Accurately Predict Protein-Binding Peptides.

Sayed Mehedi Azim, Aravind Balasubramanyam, Sheikh Rabiul Islam, Jinglin Fu, Iman Dehzangi

Algorithms, September, 2024

New Multi-View Feature Learning Method for Accurate Antifungal Peptide Detection.

Sayeda Muntaha Ferdous, Shafayat Bin Shabbir Mugdha, Iman Dehzangi

Algorithms, June, 2024

MethEvo: an accurate evolutionary information-based methylation site predictor.

Sadia Islam, Shafayat Bin Shabbir Mugdha, Shubhashis Roy Dipta, Md. Easin Arafat, Swakkhar Shatabda, Hamid Alinejad-Rokny, Iman Dehzangi

Neural Comput. Appl., January, 2024

Multimodal and Explainable Android Adware Classification Techniques.

Momoreoluwa Ayinde, Sheikh Rabiul Islam, Iman Dehzangi, Fahmida Tasnim Lisa

Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

Leveraging Large Language Models and Deep Learning for Detecting Illegal Insider Trading.

Anoop Adusumilli, Sheikh Rabiul Islam, Iman Dehzangi, June Kim

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Bioionic Liquids: Enabling a Paradigm Shift Toward Advanced and Smart Biomedical Applications.

Baishali Kanjilal, Yangzhi Zhu, Vaishali Krishnadoss, Janitha M. Unagolla, Parnian Saemian, Alessia Caci, Danial Cheraghali, Iman Dehzangi, Ali Khademhosseini, Iman Noshadi

Adv. Intell. Syst., May, 2023

An Investigation of Hepatitis B Virus Genome using Markov Models.

Khadijeh Jahanian, Elnaz Shalbafian, Morteza Saberi, Roohallah Alizadehsani, Iman Dehzangi

CoRR, 2023

Revolutionizing Genomics with Reinforcement Learning Techniques.

Mohsen Karami, Roohallah Alizadehsani, Khadijeh Jahanian, Ahmadreza Argha, Iman Dehzangi, Hamid Alinejad-Rokny

CoRR, 2023

2022

Integrative analysis of mutated genes and mutational processes reveals novel mutational biomarkers in colorectal cancer.

Hamed Dashti, Iman Dehzangi, Masroor Bayati, James Breen, Amin Beheshti, Nigel H. Lovell, Hamid R. Rabiee, Hamid Alinejad-Rokny

BMC Bioinform., December, 2022

Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types.

Amin Ghareyazi, Amirreza Kazemi, Kimia Hamidieh, Hamed Dashti, Maedeh-sadat Tahaei, Hamid R. Rabiee, Hamid Alinejad-Rokny, Iman Dehzangi

BMC Bioinform., 2022