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)

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., 2022)

Revolutionizing Genomics with Reinforcement Learning Techniques. - Mohsen Karami; Roohallah Alizadehsani; Khadijeh Jahanian; Ahmadreza Argha; Iman Dehzangi; Hamid Alinejad-Rokny (CoRR, 2023)

An Investigation of Hepatitis B Virus Genome using Markov Models. - Khadijeh Jahanian; Elnaz Shalbafian; Morteza Saberi; Roohallah Alizadehsani; Iman Dehzangi (CoRR, 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., 2023)

Leveraging Large Language Models and Deep Learning for Detecting Illegal Insider Trading. - Anoop Adusumilli; Sheikh Rabiul Islam; Iman Dehzangi; June Kim (IEEE Big Data, 2024)

Multimodal and Explainable Android Adware Classification Techniques. - Momoreoluwa Ayinde; Sheikh Rabiul Islam; Iman Dehzangi; Fahmida Tasnim Lisa (FLAIRS, 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., 2024)

New Multi-View Feature Learning Method for Accurate Antifungal Peptide Detection. - Sayeda Muntaha Ferdous; Shafayat Bin Shabbir Mugdha; Iman Dehzangi (Algorithms, 2024)

Explainable Machine Learning Model to Accurately Predict Protein-Binding Peptides. - Sayed Mehedi Azim; Aravind Balasubramanyam; Sheikh Rabiul Islam; Jinglin Fu; Iman Dehzangi (Algorithms, 2024)

SleepBoost: a multi-level tree-based ensemble model for automatic sleep stage classification. - Akib Zaman 002; Shiu Kumar; Swakkhar Shatabda; Iman Dehzangi; Alok Sharma (Medical Biol. Eng. Comput., 2024)

Correction to: SleepBoost: a multi‑level tree‑based ensemble model for automatic sleep stage classification. - Akib Zaman 002; Shiu Kumar; Swakkhar Shatabda; Iman Dehzangi; Alok Sharma (Medical Biol. Eng. Comput., 2024)

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)

ExShall-CNN: An Explainable Shallow Convolutional Neural Network for Medical Image Segmentation. - Vahid Khalkhali; Sayed Mehedi Azim; Iman Dehzangi (Mach. Learn. Knowl. Extr., 2025)

Edge-Based Learning for Improved Classification Under Adversarial Noise. - Manish Kansana; Keyan Alexander Rahimi; Elias Hossain; Iman Dehzangi; Noorbakhsh Amiri Golilarz (CoRR, 2025)

ROIsGAN: A Region Guided Generative Adversarial Framework for Murine Hippocampal Subregion Segmentation. - Sayed Mehedi Azim; Brian Corbett; Iman Dehzangi (CoRR, 2025)