• S Hamzehei, O Akbarzadeh, H Attar, K Rezaee, N Fasihihour, Predicting the total Unified Parkinson’s Disease Rating Scale (UPDRS) based on ML techniques and cloud-based update Journal of Cloud Computing 12 (1), 1-16, 2023.

• MH Alghanim, HH Attar, K Rezaee, AAA Solyman, Medical diagnosis decision-making framework on the internet of medical things platform using hybrid learning, Wireless Networks, 1-13, 2023.

• S Tabatabaei, K Rezaee, M Zhu, Attention transformer mechanism and fusion-based deep learning architecture for MRI brain tumor classification system, Biomedical Signal Processing and Control 86, 105119, 2023.

• Y Xie, Q Zhang, K Rezaee, Y Xu, Mobile computing-enabled health physique evaluation in campus based on amplified hashing, Journal of Cloud Computing 12 (1), 102, 2023.

• SS Masoomkhah, K Rezaee, M Ansari, H Eslami, Deep Learning in Drug Design—Progress, Methods, and Challenges, Frontiers in Biomedical Technologies, 2023.

• K Rezaee, MR Khosravi, H Attar, VG Menon, MA Khan, H Issa, L Qi, IoMT-Assisted Medical Vehicle Routing Based on UAV-Borne Human Crowd Sensing and Deep Learning in Smart Cities, IEEE Internet of Things Journal, 2023.

• M Khazaee Fadafen, K Rezaee, Ensemble-based multi-tissue classification approach of colorectal cancer histology images using a novel hybrid deep learning framework, Scientific Reports 13 (1), 8823, 2023.

• S Rezaei, H Ghayoumi Zadeh, MH Gholizadeh, A Fayazi, K Rezaee, Modeling and Predicting the Survival of Breast Cancer Patients via Deep Neural Networks and Bayesian Algorithm, Iranian Journal of Medical Physics, 2023.

• M Jabari, K Rezaee, M Zakeri, Fusing handcrafted and deep features for multi-class cardiac diagnostic decision support model based on heart sound signals, Journal of Ambient Intelligence and Humanized Computing 14 (3), 2873-2885, 2023.

• MR Khosravi, K Rezaee, MK Moghimi, S Wan, VG Menon, Crowd emotion prediction for human-vehicle interaction through modified transfer learning and fuzzy logic ranking, IEEE Transactions on Intelligent Transportation Systems, 2023.

• A Badiei, S Meshgini, K Rezaee, A novel approach for sleep arousal disorder detection based on the interaction of physiological signals and metaheuristic learning, Computational Intelligence and Neuroscience 2023.

• K Rezaee, H Ghayoumi Zadeh, L Qi, H Rabiee, MR Khosravi, Can you Understand why I am Crying? A Decision-making System for Classifying Infants' Cry Languages Based on deepSVM Model, ACM Transactions on Asian and Low-Resource Language Information Processing, 2023.

• H Ghayoumi Zadeh, A Fayazi, O Rahmani Seryasat, K. Rezaee, H Rabiee, A Bidirectional Long Short-Term Neural Network Model to Predict Air Pollutant Concentrations: A Case Study of Tehran, Iran, Transactions on Machine Intelligence 5 (2), 63-76, 2023.

• AM Dolatabadi, MS Pour, K Rezaee, SSM Ajarostaghi, Applying machine learning for optimization of dehumidification strategy on the modified model for the non-equilibrium condensation in steam turbines, Engineering Analysis with Boundary Elements 145, 13-24, 2022.

• E Khalili Pour, K Rezaee, H Azimi, SM Mirshahvalad, B Jafari, K Fadakar, and et al., Automated machine learning–based classification of proliferative and non-proliferative diabetic retinopathy using optical coherence tomography angiography vascular density maps, Graefe's Archive for Clinical and Experimental Ophthalmology, 1-9, 2022.

• K Rezaee, MR Khosravi, M Jabari, S Hesari, MS Anari, F Aghaei, Graph convolutional network‐based deep feature learning for cardiovascular disease recognition from heart sound signals, International Journal of Intelligent Systems, 2022.

• Y Liu, H Wu, K Rezaee, MR Khosravi, OI Khalaf, AA Khan, D Ramesh, and et al., Interaction-Enhanced and Time-Aware Graph Convolutional Network for Successive Point-of-Interest Recommendation in Travelling Enterprises, IEEE Transactions on Industrial Informatics, 2022.

• K Rezaee, MR Khosravi, MS Anari, Deep-Transfer-Learning-Based Abnormal Behavior Recognition Using Internet of Drones for Crowded Scenes, IEEE Internet of Things Magazine 5 (2), 41-44, 2022.

• K Rezaee, MKN Ahmadi, MS Anari, Interactive Medical Image Segmentation using Active Contour with Improved F Energy in Level-Set Tuning, Majlesi Journal of Electrical Engineering 16 (2), 21-30, 2022.

• K Rezaee, MR Khosravi, N Neshat, MK Moghimi, Deep transfer learning-based fall detection approach using IoMT-enabled thermal imaging-assisted pervasive surveillance and big health data, Journal of Circuits, Systems and Computers, 2022.

• K Rezaee, X Yang, MR Khosravi, R Zhang, W Lin, G Jeon, Fusion-based learning for stress recognition in smart home: an IoMT framework, Building and Environment 216, 108988, 2022.

• K Rezaee, HG Zadeh, C Chakraborty, MR Khosravi, G Jeon, Smart Visual Sensing for Overcrowding in COVID-19 Infected Cities Using Modified Deep Transfer Learning, IEEE Transactions on Industrial Informatics, 2022.

• K Rezaee, G Jeon, MR Khosravi, HH Attar, A Sabzevari, Deep learning‐based microarray cancer classification and ensemble gene selection approach, IET Systems Biology 16 (3-4), 120-131, 2022.

• MS Anari, K Rezaee, A Ahmadi, TraitLWNet: a novel predictor of personality trait by analyzing Persian handwriting based on lightweight deep convolutional neural network, Multimedia Tools and Applications 81 (8), 10673-10693.

• K Rezaee, S Zolfaghari, A direct classification approach to recognize stress levels in virtual reality therapy for patients with multiple sclerosis, Computational Intelligence 38 (1), 249-268, 2022.

• N Jafarzadeh, A Jalili, JA Alzubi, K Rezaee, Y Liu, M Gheisari, A novel buffering fault‐tolerance approach for network on chip (NoC), IET Circuits, Devices & Systems, 2022.

• K Rezaee, S Savarkar, X Yu, J Zhang, A hybrid deep transfer learning-based approach for Parkinson's disease classification in surface electromyography signals Biomedical Signal Processing and Control 71, 103161, 2022.

• K Rezaee., Badiei, A., Ghayoumi Zadeh, H., & Meshgini, S., A hybrid deep transfer learning based approach for COVID-19 classification in chest X-ray images, AUT Journal of Electrical Engineering, 53(2), 8-8, (Best paper award)
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• H Ghayoumi Zadeh, A Fayazi, K Rezaee, MH Gholizadeh, M Eskandari, Segmentation of the Left Atrial Appendage in the Echocardiographic Images of the Heart Using a Deep Neural Network, Journal of Health and Biomedical Informatics 8 (3), 315-325, 2021.

• K Rezaee, SJ Mousavirad, MR Khosravi, MK Moghimi, M Heidari, An autonomous UAV-assisted distance-aware crowd sensing platform using deep ShuffleNet transfer learning, IEEE Transactions on Intelligent Transportation Systems, 2021.

• K Rezaee, F Ghaderi, F Naghavi, Multilevel pain recognition to analyze infant crying sound using fractal dimension features and logistic regression with a maximum likelihood classifier, Journal of Acoustical Engineering Society of Iran 9 (1), 78-90, 2021.

• N Neshat, S Moayedfar, K Rezaee, N Amrollahi Biuki, Sustainable planning of developing tourism destinations after COVID-19 outbreak: A deep learning approach, Journal of Policy Research in Tourism, Leisure and Events, 1-21, 2021.

• N Tavasoli, K Rezaee, M Momenzadeh, M Sehhati, An ensemble soft weighted gene selection-based approach and cancer classification using modified metaheuristic learning, Journal of Computational Design and Engineering 8 (4), 1172-1189, 2021.

• K Rezaee, SM Rezakhani, MR Khosravi, MK Moghimi, A survey on deep learning-based real-time crowd anomaly detection for secure distributed video surveillance, Personal and Ubiquitous Computing, 1-17, 2021.

• K Rezaee, F Ghaderi, H Taheri Gorji, J Haddadnia, Hand Gesture and Movement Recognition based on Electromyogram Signals using Soft Ensembling Feature Selection and Optimized Classifier, Iranian Journal of Biomedical Engineering 14 (3), 195-208, 2021.

• K Rezaee, A Rezaee, N Shaikhi, J Haddadnia, Multi-mass breast cancer classification based on hybrid descriptors and memetic meta-heuristic learning, SN Applied Sciences 2 (7), 1-19

• A Rezaee, K Rezaee, J Haddadnia, HT Gorji, Supervised meta-heuristic extreme learning machine for multiple sclerosis detection based on multiple feature descriptors in MR images, SN Applied Sciences 2 (5), 1-19, 2021.

• A Entezari, F Mayvaneh, K REZAEI, F Rahimi, An adaptive estimation method to predict thermal comfort indices man using classification based in the deep belief network, JOURNAL OF GEOGRAPHICAL SCIENCES 18 (51), 23-40, 2019.

• K Rezaee, J Haddadnia, A Tashk, Optimized clinical segmentation of retinal blood vessels by using combination of adaptive filtering, fuzzy entropy and skeletonization, Applied Soft Computing 52, 937-951, 2017.

• K Rezaee, E Azizi, J Haddadnia, Optimized seizure detection algorithm: a fast approach for onset of epileptic in EEG signals using GT discriminant analysis and K-NN classifier, Journal of biomedical physics & engineering 6 (2), 81.

• K Rezaee, J Haddadnia, A Delbari, Modeling abnormal walking of the elderly to predict risk of the falls using Kalman filter and motion estimation approach, Computers & Electrical Engineering 46, 471-486, 2015.

• K Rezaee, J Haddadnia, Designing an Accurate and Fast Algorithm to Extract the Retinal Vessels Using Adaptive Filters and Thresholding Based on Entropy Fuzzy, Bina Journal of Ophthalmology 19 (4), 352-363, 2014.

• K Rezaee, J Haddadnia, Design of fall detection system: a dynamic pattern approach with fuzzy logic and motion estimation, Information Systems & Telecommunication 3 (7), 181, 2014

• K Rezaee, J Haddadnia, Intelligent and Online Evaluation of Diabetes using Wireless Sensor Networks and Support Vector Machines Algorithm, Iranian Journal of Diabetes and Obesity 6 (2), 56-66, 2014.

• K Rezaee, J Haddadnia, M Rasegh Ghezelbash, A novel algorithm for accurate diagnosis of hepatitis B and its severity, International Journal of Hospital Research 3 (1), 1-10, 2014.

• K Rezaee, J Haddadnia, A Delbari, Elderly fall monitoring system based on Gaussian mixture models and anatomical changes in video sequences, Journal of Machine Vision and Image Processing 1 (2), 67-77., 2014.

• K Rezaee, J Haddadnia, A Delbari, M Madanian, Predicting and monitoring of the elderly falls based on modeling of the motion patterns obtained from video sequences, Iranian Journal of Ageing 8 (4), 15-23, 2013.

• K Rezaee, J Haddadnia, Design and performance evaluation of intelligent system to segregate and classify the phonocardiograph abnormalities using matched filter and multilayer perceptron-back, Pajoohandeh Journal 18 (5), 277-286, 2013.

• K Rezaee, J Haddadnia, Designing an algorithm for cancerous tissue segmentation using adaptive k-means cluttering and discrete wavelet transform, Journal of Biomedical Physics & Engineering 3 (3), 93, 2013.

• K Rezaee, J Haddadnia, A Delbari, Automatic Extraction of Edge Topography in Medical Images Using Ant Colony Optimization Algorithm and Image Processing Techniques, Journal of Soft Computing and Information Technology 2 (1), 34-41,  2013.

• K Rezaee, E Azizi, J Haddania, A Delbari, Intelligent Monitoring System of Elderly’s Fall Based on Video Sequences‖, Middle-East Journal of Scientific Research 15 (8), 1178-1185, 2013.

• J Hadadnia, K Rezaee, Extraction and 3D segmentation of tumors-based unsupervised clustering techniques in medical images, Iranian Journal of Medical Physics 10 (2), 95-108, 2013.

• K Rezaee, SJ Mousavirad, M RaseghGhezelbash, J Haddadnia, Accurate Fire Detection System for Various Environments using Gaussian Mixture Model and HSV Space, JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST) 1 (1), 55-62, 2013.

• K Rezaee, SR Alavi, H Khavari, G Mohammadi, J Haddania, New Intelligent System Designed to Detect Breast Cancer Tumors Using Image Processing Techniques and Topography Contour Methods, Majlesi Journal of Electrical Engineering 6 (2), 2012.

• SJ MousaviRad, K Rezaee, K Nasri, A new method for identification of Iranian rice kernel varieties using optimal morphological features and an ensemble classifier by image processing, Majlesi Journal of Multimedia Processing 1 (3), 2012.

• K Rezaee, E Azizi, MR Ghezelbash, M Madanian, J Haddania, A novel intelligent system to accurately segmentation of brain tumors in MR images by using image processing and discrete wavelet transform, Majlesi Journal of Multimedia Processing 1 (4), 2012.

• K Rezaee, MR Khosravi, L Qi, M Abbasi, SkinNet: A Hybrid Convolutional Learning Approach and Transformer Module Through Bi-directional Feature Fusion, 2022 International Conference on Computing, Communication, Security, IEEE.

• K Rezaee, A Badiei, S Meshgini, A hybrid deep transfer learning based approach for COVID-19 classification in chest X-ray images, 2020 27th national and 5th international Iranian conference on biomedical, 2020, IEEE, (Best paper award)

• K Rezaee, J Haddadnia, A Delbari, Intelligent detection of the falls in the elderly using fuzzy inference system and video-based motion estimation method, 2013 8th Iranian Conference on Machine Vision and Image Processing (MVIP), IEEE, 2014.

• K Rezaee, SR Alavi, M Madanian, MR Ghezelbash, H Khavari, Real-time intelligent alarm system of driver fatigue based on video sequences, 2013 First RSI/ISM International Conference on Robotics and Mechatronics. , (Best paper award)

• K Rezaee, MR Ghezelbash, J Haddadnia, A Delbari, An intelligent surveillance system for falling elderly detection based on video sequences, 19th Iranian Conference of Biomedical Engineering (ICBME), Tehran, Iran, 20-21.

• G Mohammadi, K Rezaee, M Hajimani, N Masoomi, M Karimi, A Novel Intelligent system for Exact Positioning of Breast Cancer Tumors using Contourlet and Image Processing, Conference IKT2012.

• K Rezaee, M SaberiAnari, MR Khosravi, A Wavelet-Based Robust Medical Image Watermarking Technique Using Whale Optimization Algorithm for Data Exchange Through Internet of Medical Things, Intelligent Healthcare, 373-394, 2022.

• K Rezaee, MR Khosravi, MK Moghimi, Intelligent Elderly People Fall Detection Based on Modified Deep Learning Deep Transfer Learning and IoT Using Thermal Imaging-Assisted Pervasive Surveillance, Intelligent Healthcare, 113-132, 2022.