Segmentation of multiple sclerosis lesions in brain MR images using spatially constrained possibilistic fuzzy C-means classification H Khotanlou, M Afrasiabi Journal of Medical Signals & Sensors 1 (3), 149-155, 2011 | 27 | 2011 |
DTW-CNN: time series-based human interaction prediction in videos using CNN-extracted features MM Mahlagha Afrasiabi,Hassan khotanlou The Visual Computer, 1-13, 2019 | 25* | 2019 |
Application of genetic algorithm-based support vector machine in identification of gene expression signatures for psoriasis classification: a hybrid model L Tapak, S Afshar, M Afrasiabi, MK Ghasemi, P Alirezaei BioMed Research International 2021, 2021 | 18 | 2021 |
Feature selection in order to extract multiple sclerosis lesions automatically in 3D brain magnetic resonance images using combination of support vector machine and genetic … H Khotanlou, M Afrasiabi Journal of Medical Signals & Sensors 2 (4), 211-218, 2012 | 11 | 2012 |
Skeleton-based action recognition using spatio-temporal features with convolutional neural networks Z Rostami, M Afrasiabi, H Khotanlou 2017 IEEE 4th International Conference on Knowledge-Based Engineering and …, 2017 | 8 | 2017 |
Spatial-temporal dual-actor CNN for human interaction prediction in video M Afrasiabi, H Khotanlou, T Gevers Multimedia Tools and Applications, 2020 | 7 | 2020 |
Multiple Human Detection in Images Based on Differential Evolution and HOG-LBP Z Ahmadipour, M Afrasiabi, H Khotanlou The Eighth International Conference on Information and Knowledge Technology …, 2016 | 5 | 2016 |
Automatic identification of chromosomal abnormalities in metaphase karyotype using paired images in human chromosomes S Abbase, H Khotanlou, M Afrasiabi, A Asgari 2015 2nd International Conference on Knowledge-Based Engineering and …, 2015 | 2 | 2015 |
Spatial-temporal dual-actor CNN for human interaction prediction in video A Mahlagha, K Hassan, G Theo Multimedia Tools and Applications 79 (27-28), 20019-20038, 2020 | 1 | 2020 |
Deep neural network for interaction prediction in video using fuzzy relationship and optical flow M Afrasiabi, H KHOTANLOU, M Mansoorizadeh TABRIZ JOURNAL OF ELECTRICAL ENGINEERING 50 (393001649), 1035-1046, 2020 | 1 | 2020 |
GADNN: a revolutionary hybrid deep learning neural network for age and sex determination utilizing cone beam computed tomography images of maxillary and frontal sinuses O Hamidi, M Afrasiabi, M Namaki BMC Medical Research Methodology 24, 2024 | | 2024 |
Prediction of Psoriasis from Gene Expression Profiling Using Penalized Logistic Regression Model P Amini, L Tapak, S Afshar, M Afrasiabi, MK Ghasemi, P Alirezaei Journal of Advances in Medical and Biomedical Research 31 (148), 481-487, 2023 | | 2023 |
Research Article Application of Genetic Algorithm-Based Support Vector Machine in Identification of Gene Expression Signatures for Psoriasis Classification: A Hybrid Model L Tapak, S Afshar, M Afrasiabi, MK Ghasemi, P Alirezaei | | 2021 |
Human interaction recognition using Adaptive neuro-fuzzy inference system M Afrasiabi, H khotanlou Second National & First International Conference on Soft Computing, 2017 | | 2017 |
Feature selection in order to extract multiple sclerosis lesions automatically in 3D brain MR images using combination of Support Vector Machine and Genetic algorithm H Khotanlou, M Afrasiabi Journal of Medical Signals and Sensors (J Med Signals sens) 2 (4), 2012 | | 2012 |