Sebelan Danishvar

发表

Developing an Artificial Intelligence Solution to Autosegment the Edentulous Mandibular Bone for Implant Planning

M. Moufti, Nuha Trabulsi, Marah Ghousheh, 2023, European Journal of Dentistry.

Brain tumor segmentation by auxiliary classifier generative adversarial network

Behnam Kiani Kalejahi, S. Meshgini, Sebelan Danishvar, 2023, Signal, Image and Video Processing.

Diagnose ADHD disorder in children using convolutional neural network based on continuous mental task EEG

Mina Zolfy Lighvan, Majid Moghaddari, Sebelan Danishvar, 2020, Comput. Methods Programs Biomed..

Customized 2D CNN Model for the Automatic Emotion Recognition Based on EEG Signals

S. Sheykhivand, Farzad Baradaran, Sebelan Danishvar, 2023, Electronics.

Automatic Detection of Driver Fatigue Based on EEG Signals Using a Developed Deep Neural Network

S. Sheykhivand, Zohreh Mousavi, A. Farzamnia, 2022, Electronics.

Printed Circuit Board Inspection: Fusion of Optical and X-ray Images (FOXi) for Electronic Components Classification

Alireza Mousavi, Richard Ott, Sebelan Danishvar, 2022, 2022 IEEE Physical Assurance and Inspection of Electronics (PAINE).

An Improved Capsule Network (WaferCaps) for Wafer Bin Map Classification Based on DCGAN Data Upsampling

Abd Al Rahman Moh'd Abu Ebayyeh, Alireza Mousavi, Sebelan Danishvar, 2022, IEEE Transactions on Semiconductor Manufacturing.

A Customized Efficient Deep Learning Model for the Diagnosis of Acute Leukemia Cells Based on Lymphocyte and Monocyte Images

Amin Babazadeh Sangar, A. Navin, J. V. Gharamaleki, 2023, Electronics.

Visual Saliency and Image Reconstruction from EEG Signals via an Effective Geometric Deep Network-Based Generative Adversarial Network

S. Beheshti, S. Sheykhivand, S. Meshgini, 2022, Electronics.

Automatically Identified EEG Signals of Movement Intention Based on CNN Network (End-To-End)

Nahal Shahini, S. Sheykhivand, S. Danishvar, 2022, Electronics.

Acute Leukemia Diagnosis Based on Images of Lymphocytes and Monocytes Using Type-II Fuzzy Deep Network

A. Navin, Amin Babazadeh Sangar, Jalil Vaez Gharamaleki, 2023, Electronics.

Automatic Liver Tumor Segmentation from CT Images Using Graph Convolutional Network

R. Afrouzian, Sebelan Danishvar, Maryam Khoshkhabar, 2023, Sensors.

Qualitative Classification of Proximal Femoral Bone Using Geometric Features and Texture Analysis in Collected MRI Images for Bone Density Evaluation

Sebelan Danishvar, Mojtaba Najafi, Tohid Yousefi Rezaii, 2023, Sensors.

Coarse Return Prediction in a Cement Industry’s Closed Grinding Circuit System through a Fully Connected Deep Neural Network (FCDNN) Model

A. Mousavi, F. Souza, Pedro A. C. Sousa, 2021, Applied Sciences.

Generative Adversarial Network Image Synthesis Method for Skin Lesion Generation and Classification

Behnam Kiani Kalejahi, S. Meshgini, S. Danishvar, 2021, Journal of medical signals and sensors.

Deep Learning for Detecting Multi-Level Driver Fatigue Using Physiological Signals: A Comprehensive Approach

S. Sheykhivand, Sebelan Danishvar, Mohammad Peivandi, 2023, Sensors.

Diagnosis of liver disease by computer- assisted imaging techniques: A literature review

Behnam Kiani Kalejahi, S. Meshgini, S. Danishvar, 2022, Intell. Data Anal..

Deep multi-modal schizophrenia disorder diagnosis via a GRU-CNN architecture

S. Danishvar, Babak Masoudi, Sebelan Danishvar, 2022, Neural Network World.

Classification cardiac beats using arterial blood pressure signal based on discrete wavelet transform and deep convolutional neural network

Sebelan Danishvar, Morad Danishvar, Roghayyeh Arvanaghi, 2022, Biomed. Signal Process. Control..

Automatic Emotion Recognition from EEG Signals Using a Combination of Type-2 Fuzzy and Deep Convolutional Networks

S. Sheykhivand, Farzad Baradaran, Sebelan Danishvar, 2023, Electronics.

The Design of a Photonic Crystal Fiber for Hydrogen Cyanide Gas Detection

S. Makouei, M. Danishvar, Sebelan Danishvar, 2024, Photonics.

An Automatic Lie Detection Model Using EEG Signals Based on the Combination of Type 2 Fuzzy Sets and Deep Graph Convolutional Networks

S. Sheykhivand, Nastaran Khaleghi, Sebelan Danishvar, 2024, Sensors.

A Novel Approach for Automatic Detection of Driver Fatigue Using EEG Signals Based on Graph Convolutional Networks

S. Sheykhivand, Soufia Bahmani, Nastaran Khaleghi, 2024, Sensors.

Advancements in PCB Components Recognition Using WaferCaps: A Data Fusion and Deep Learning Approach

Alireza Mousavi, Sebelan Danishvar, Dmitrii Starodubov, 2024, Electronics.

Energy-Aware Flowshop Scheduling: A Case for AI-Driven Sustainable Manufacturing

S. Afshin Mansouri, Evina Katsou, Sebelan Danishvar, 2021, IEEE Access.

Automatic Recognition of Multiple Emotional Classes from EEG Signals through the Use of Graph Theory and Convolutional Neural Networks

S. Sheykhivand, M. Danishvar, Sebelan Danishvar, 2024, Sensors.