Very Low Bit-Rate Video Coding by Combining H.264/AVC Standard and 2-D Discrete Wavelet Transform. - Ali Aghagolzadeh; Saeed Meshgini; Mehdi Nooshyar; Mehdi Aghagolzadeh (Wirel. Sens. Netw., 2010)

Face recognition using Gabor-based direct linear discriminant analysis and support vector machine. - Saeed Meshgini; Ali Aghagolzadeh; Hadi Seyedarabi (Comput. Electr. Eng., 2013)

Sleep Stage Classification Using Dempster-Shafer Theory for Classifier Fusion. - Mehdi Abdollahpour; Tohid Yousefi Rezaii; Ali Farzamnia; Saeed Meshgini (IICAIET, 2018)

Evaluating adipocyte differentiation of bone marrow-derived mesenchymal stem cells by a deep learning method for automatic lipid droplet counting. - Leila Hassanlou; Saeed Meshgini; Effat Alizadeh (Comput. Biol. Medicine, 2019)

Big Data Security Issues and Challenges in Healthcare. - Behnam Kiani Kalejahi; Saeed Meshgini; Ayshan Yariyeva; Dawda Ndure; Uzeyir Maharramov; Ali Farzamnia (CoRR, 2019)

Bone Age Estimation by Deep Learning in X-Ray Medical Images. - Behnam Kiani Kalejahi; Saeed Meshgini; Sabalan Daneshvar (CoRR, 2019)

Diagnosis of liver disease using computer-assisted imaging techniques: A Review. - Behnam Kiani Kalejahi; Saeed Meshgini; Sabalan Daneshvar; Shiva Asadzadeh (CoRR, 2019)

Deterministic construction of array QC CS measurement matrices based on Singer perfect difference sets. - Ehsan Olyaei Torshizi; Mohammad Ali Tinati; Saeed Meshgini (IET Commun., 2019)

Hyperspectral image classification based on sparse modeling of spectral blocks. - Saeideh Ghanbari Azar; Saeed Meshgini; Tohid Yousefi Rezaii; Soosan Beheshti (Neurocomputing, 2020)

Speed Classification of Upper Limb Movements Through EEG Signal for BCI Application. - Sepideh Zolfaghari; Tohid Yousefi Rezaii; Saeed Meshgini; Ali Farzamnia; Liau Chung Fan (IEEE Access, 2021)

Positron emission tomography image enhancement using magnetic resonance images and U-net structure. - Farnaz Garehdaghi; Saeed Meshgini; Reza Afrouzian (Comput. Electr. Eng., 2021)

Linear mixing model with scaled bundle dictionary for hyperspectral unmixing with spectral variability. - Saeideh Ghanbari Azar; Saeed Meshgini; Soosan Beheshti; Tohid Yousefi Rezaii (Signal Process., 2021)

Diagnosis of liver disease by computer- assisted imaging techniques: A literature review. - Behnam Kiani Kalejahi; Saeed Meshgini; Sebelan Danishvar; Sara Khorram (Intell. Data Anal., 2022)

Developing an efficient functional connectivity-based geometric deep network for automatic EEG-based visual decoding. - Nastaran Khaleghi; Tohid Yousefi Rezaii; Soosan Beheshti; Saeed Meshgini (Biomed. Signal Process. Control., 2023)

Accurate Emotion Recognition Utilizing Extracted EEG Sources as Graph Neural Network Nodes. - Shiva Asadzadeh; Tohid Yousefi Rezaii; Soosan Beheshti; Saeed Meshgini (Cogn. Comput., 2023)

Automatic Liver Tumor Segmentation from CT Images Using Graph Convolutional Network. - Maryam Khoshkhabar; Saeed Meshgini; Reza Afrouzian; Sebelan Danishvar (Sensors, 2023)

Brain tumor segmentation by auxiliary classifier generative adversarial network. - Behnam Kiani Kalejahi; Saeed Meshgini; Sebelan Danishvar (Signal Image Video Process., 2023)

SRU-Net: a novel spatiotemporal attention network for sclera segmentation and recognition. - Tara Mashayekhbakhsh; Saeed Meshgini; Tohid Yousefi Rezaii; Somayeh Makouei (Pattern Anal. Appl., 2024)

Advancing Early Diagnosis: Predicting Mild Cognitive Impairment Progression in Normal Individuals Using Deep Learning on MRI Features. - Abdullah Baktash; Yashar Sarbaz; Saeed Meshgini; Reza Afrouzian (IEEE Access, 2025)

Studying of deep neural networks and delta and alpha sub-bands harmony signals for Prediction of epilepsy. - G. Alizadeh; Tohid Yousefi Rezaii; Saeed Meshgini (Biomed. Signal Process. Control., 2025)