Fusion of MRI and PET images using retina based multi-resolution transforms. - Sabalan Daneshvar; Hassan Ghassemian (ISSPA, 2007)

MRI and PET image fusion by combining IHS and retina-inspired models. - Sabalan Daneshvar; Hassan Ghassemian (Inf. Fusion, 2010)

Retinal Image Registration Using Geometrical Features. - Sara Gharabaghi; Sabalan Daneshvar; Mohammad Hosein Sedaaghi (J. Digit. Imaging, 2013)

Multifocus image fusion via the Hartley transform. - Mehdy Dousty; Sabalan Daneshvar; Roberto C. Sotero (CCECE, 2016)

Fusion of ECG and ABP signals based on wavelet transform for cardiac arrhythmias classification. - Roghayyeh Arvanaghi; Sabalan Daneshvar; Hadi Seyedarabi; Atefeh Goshvarpour (Comput. Methods Programs Biomed., 2017)

Future of the Renal Biopsy: Time to Change the Conventional Modality Using Nanotechnology. - Hamid Tayebi Khosroshahi; Behzad Abedi; Sabalan Daneshvar; Yashar Sarbaz; Abolhassan Shakeri Bavil (Int. J. Biomed. Imaging, 2017)

Discrimination between different emotional states based on the chaotic behavior of galvanic skin responses. - Atefeh Goshvarpour; Ataollah Abbasi; Ateke Goshvarpour; Sabalan Daneshvar (Signal Image Video Process., 2017)

Distributed sparse diffusion estimation based on set membership and affine projection algorithm. - Hamid Shiri; Mohammad Ali Tinati; Marian Codreanu; Sabalan Daneshvar (Digit. Signal Process., 2018)

A novel architectureof medical image fusion based on YCbCr-DWT transform. - Behzad Nobariyan; Nasrin Amini; Sabalan Daneshvar; Ataollah Abbasi (Int. Arab J. Inf. Technol., 2018)

Technical report: An advanced algorithm for the description of mice oocyte cytoplasm and polar body. - Shiva Asadzadeh; Sabalan Daneshvar; Behzad Abedi; Behnaz Sadeghzadeh Oskouei; Parviz Shahabi; Yaghoob Jasemian (Biomed. Signal Process. Control., 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)

Block sparse multi-lead ECG compression exploiting between-lead collaboration. - Siavash Eftekharifar; Tohid Yousefi Rezaii; Soosan Beheshti; Sabalan Daneshvar (IET Signal Process., 2019)

Medical image fusion based on nonsubsampled shearlet transform and principal component averaging. - Tannaz Akbarpour; Mousa Shamsi; Sabalan Daneshvar; Masoud Pooreisa (Int. J. Wavelets Multiresolution Inf. Process., 2019)

Corrigendum to "Technical report: An advanced algorithm for the description of mice oocyte cytoplasm and polar body" [Biomed. Signal Process. Control 48 (2019) 171-178]. - Shiva Asadzadeh; Sabalan Daneshvar; Behzad Abedi; Behnaz Sadeghzadeh Oskouei; Parviz Shahabi; Yaghoob Jasemian (Biomed. Signal Process. Control., 2020)

Optimization of montages and electric currents in tDCS. - Mahsa Khorrampanah; Hadi Seyedarabi; Sabalan Daneshvar; Mehdi Farhoudi (Comput. Biol. Medicine, 2020)

Data-driven versus conventional N2O EF quantification methods in wastewater; how can we quantify reliable annual EFs? - Vasileia Vasilaki; Sebelan Danishvar; Ali Mousavi 001; Evina Katsou (Comput. Chem. Eng., 2020)

Diagnose ADHD disorder in children using convolutional neural network based on continuous mental task EEG. - Majid Moghaddari; Mina Zolfy Lighvan; Sebelan Danishvar (Comput. Methods Programs Biomed., 2020)

Fusion of multimodal medical images using nonsubsampled shearlet transform and particle swarm optimization. - Tannaz Akbarpour; Mousa Shamsi; Sabalan Daneshvar; Masoud Pooreisa (Multidimens. Syst. Signal Process., 2020)

Energy-Aware Flowshop Scheduling: A Case for AI-Driven Sustainable Manufacturing. - Morad Danishvar; Sebelan Danishvar; Evina Katsou; S. Afshin Mansouri; Alireza Mousavi 001 (IEEE Access, 2021)

Multi-modal neuroimaging feature fusion via 3D Convolutional Neural Network architecture for schizophrenia diagnosis. - Babak Masoudi; Sabalan Daneshvar; Seyed Naser Razavi (Intell. Data Anal., 2021)

A multi-modal fusion of features method based on deep belief networks to diagnosis schizophrenia disease. - Babak Masoudi; Sabalan Daneshvar; Seyed Naser Razavi (Int. J. Wavelets Multiresolution Inf. Process., 2021)

Boosting Iris Recognition by Margin-Based Loss Functions. - Reihan Alinia Lat; Sebelan Danishvar; Hamed Heravi; Morad Danishvar (Algorithms, 2022)

A hybrid high-order type-2 FCM improved random forest classification method for breast cancer risk assessment. - Mahsa Hosseinpour; Sehraneh Ghaemi; Sohrab Khanmohammadi; Sabalan Daneshvar (Appl. Math. Comput., 2022)

Classification cardiac beats using arterial blood pressure signal based on discrete wavelet transform and deep convolutional neural network. - Roghayyeh Arvanaghi; Sebelan Danishvar; Morad Danishvar (Biomed. Signal Process. Control., 2022)

Waveguide quality inspection in quantum cascade lasers: A capsule neural network approach. - Abd Al Rahman M. Abu Ebayyeh; Alireza Mousavi 001; Sebelan Danishvar; Stéphane Blaser; Tobias Gresch; Olivier Landry; Antoine Müller (Expert Syst. Appl., 2022)

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)

The Genomics of Industrial Process Through the Qualia of Markovian Behavior. - Morad Danishvar; Alireza Mousavi 001; Sebelan Danishvar (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Industrial Genomics: A Novel Approach to System Behaviour Discovery. - Morad Danishvar; Sebelan Danishvar; Ali Mousavi 001 (ICCMA, 2023)

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

Qualitative Classification of Proximal Femoral Bone Using Geometric Features and Texture Analysis in Collected MRI Images for Bone Density Evaluation. - Mojtaba Najafi; Tohid Yousefi Rezaii; Sebelan Danishvar; Seyed Naser Razavi (Sensors, 2023)

Deep Learning for Detecting Multi-Level Driver Fatigue Using Physiological Signals: A Comprehensive Approach. - Mohammad Peivandi; Sevda Zafarmandi Ardabili; Sobhan Sheykhivand; 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)

Salient Arithmetic Data Extraction from Brain Activity via an Improved Deep Network. - Nastaran Khaleghi; Shaghayegh Hashemi; Sevda Zafarmandi Ardabili; Sobhan Sheykhivand; Sebelan Danishvar (Sensors, 2023)

A Novel Approach for Automatic Detection of Driver Fatigue Using EEG Signals Based on Graph Convolutional Networks. - Sevda Zafarmandi Ardabili; Soufia Bahmani; Lida Zare Lahijan; Nastaran Khaleghi; Sobhan Sheykhivand; Sebelan Danishvar (Sensors, 2024)

An Automatic Lie Detection Model Using EEG Signals Based on the Combination of Type 2 Fuzzy Sets and Deep Graph Convolutional Networks. - Mahsan Rahmani; Fatemeh Mohajelin; Nastaran Khaleghi; Sobhan Sheykhivand; Sebelan Danishvar (Sensors, 2024)

Automatic Recognition of Multiple Emotional Classes from EEG Signals through the Use of Graph Theory and Convolutional Neural Networks. - Fatemeh Mohajelin; Sobhan Sheykhivand; Abbas Shabani; Morad Danishvar; Sebelan Danishvar; Lida Zare Lahijan (Sensors, 2024)