A New Region-Based Active Contour Model with Skewness Wavelet Energy for Segmentation of SAR Images. - Gholamreza Akbarizadeh; Gholam Ali Rezai Rad; Shahriar Baradaran Shokouhi (IEICE Trans. Inf. Syst., 2010)

A New Statistical-Based Kurtosis Wavelet Energy Feature for Texture Recognition of SAR Images. - Gholamreza Akbarizadeh (IEEE Trans. Geosci. Remote. Sens., 2012)

Unsupervised feature learning based on sparse coding and spectral clustering for segmentation of synthetic aperture radar images. - Masoumeh Rahmani; Gholamreza Akbarizadeh (IET Comput. Vis., 2015)

A Two-Phase Algorithm Based on Kurtosis Curvelet Energy and Unsupervised Spectral Regression for Segmentation of SAR Images. - Zeinab Tirandaz; Gholamreza Akbarizadeh (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Unsupervised classification of PolSAR images using NMF-FLD features. - Afsaneh Tadoui Zanganeh; Gholamreza Akbarizadeh (ECAI, 2017)

Combined algorithm for improvement of fused radar and optical data classification accuracy. - Danya Karimi; Kazem Rangzan; Gholamreza Akbarizadeh; Mostafa Kabolizade (J. Electronic Imaging, 2017)

Hybrid robust iris recognition approach using iris image pre-processing, two-dimensional gabor features and multi-layer perceptron neural network/PSO. - Neda Ahmadi; Gholamreza Akbarizadeh (IET Biom., 2018)

A hybrid feature extraction method for SAR image registration. - Mohsen Norouzi; Gholamreza Akbarizadeh; Fariba Eftekhar (Signal Image Video Process., 2018)

Combined Method of an Efficient Cuckoo Search Algorithm and Nonnegative Matrix Factorization of Different Zernike Moment Features for Discrimination Between Oil Spills and Lookalikes in SAR Images. - Asma Raeisi; Gholamreza Akbarizadeh; Alimorad Mahmoudi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Change detection in SAR images using deep belief network: a new training approach based on morphological images. - Farnaam Samadi; Gholamreza Akbarizadeh; Hooman Kaabi (IET Image Process., 2019)

Robust reservoir rock fracture recognition based on a new sparse feature learning and data training method. - Fatemeh Taibi; Gholamreza Akbarizadeh; Ebrahim Farshidi (Multidimens. Syst. Signal Process., 2019)

Automatic detection and segmentation of blood vessels and pulmonary nodules based on a line tracking method and generalized linear regression model. - Amal Eisapour Moghaddam; Gholamreza Akbarizadeh; Hooman Kaabi (Signal Image Video Process., 2019)

Integration of Spectral Histogram and Level Set for Coastline Detection in SAR Images. - Mohammad Modava; Gholamreza Akbarizadeh; Mohammad Soroosh (IEEE Trans. Aerosp. Electron. Syst., 2019)

Iris tissue recognition based on GLDM feature extraction and hybrid MLPNN-ICA classifier. - Neda Ahmadi; Gholamreza Akbarizadeh (Neural Comput. Appl., 2020)

A new approach for data augmentation in a deep neural network to implement a monitoring system for detecting prostate cancer in MRI images. - Neda Pirzad Mashak; Gholamreza Akbarizadeh; Ebrahim Farshidi (J. Intell. Fuzzy Syst., 2022)

A New Technique for Segmentation of the Oil Spills From Synthetic-Aperture Radar Images Using Convolutional Neural Network. - Fatemeh Mahmoudi Ghara; Shahriar Baradaran Shokouhi; Gholamreza Akbarizadeh (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Transfer learning; powerful and fast segmentation and classification prostate cancer from MRI scans, in the development set. - Neda Pirzad Mashak; Gholamreza Akbarizadeh; Ebrahim Farshidi (J. Intell. Fuzzy Syst., 2023)

A Novel Approach for Real-Time Estimation of State of Charge in Li-Ion Battery Through Hybrid Methodology. - Armin Emami; Gholamreza Akbarizadeh; Alimorad Mahmoudi (IEEE Access, 2024)

RI-ViT: A Multi-Scale Hybrid Method Based on Vision Transformer for Breast Cancer Detection in Histopathological Images. - Ehsan Monjezi; Gholamreza Akbarizadeh; Karim Ansari-Asl (IEEE Access, 2024)

Optimizing Power Control in Cellular and Cell-Free Massive MIMO Systems: A SVM/RBF Approach. - Neda Ahmadi; Gholamreza Akbarizadeh (IEEE Access, 2025)