Mahdi Hashemzadeh
Orcid: 0000-0003-0506-3513
According to our database1,
Mahdi Hashemzadeh
authored at least 29 papers
between 2013 and 2025.
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Online presence:
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Bibliography
2025
Pattern Recognit., 2025
2024
DiagCovidPNA: diagnosing and differentiating COVID-19, viral and bacterial pneumonia from chest X-ray images using a hybrid specialized deep learning approach.
Soft Comput., August, 2024
2023
Addressing the class-imbalance and class-overlap problems by a metaheuristic-based under-sampling approach.
Pattern Recognit., November, 2023
FoodRecNet: a comprehensively personalized food recommender system using deep neural networks.
Knowl. Inf. Syst., September, 2023
Brain tumor segmentation and classification on MRI via deep hybrid representation learning.
Expert Syst. Appl., August, 2023
Entertain. Comput., 2023
2022
CGFFCM: A color image segmentation method based on cluster-weight and feature-weight learning.
Softw. Impacts, 2022
A Comprehensive Review on Content-Aware Image Retargeting: From Classical to State-of-the-art Methods.
Signal Process., 2022
UFS-Net: A unified flame and smoke detection method for early detection of fire in video surveillance applications using CNNs.
J. Comput. Sci., 2022
QDL-CMFD: A Quality-independent and deep Learning-based Copy-Move image forgery detection method.
Neurocomputing, 2022
A fully-convolutional residual encoder-decoder neural network to localize breast cancer on histopathology images.
Comput. Biol. Medicine, 2022
Smoke detection in video using convolutional neural networks and efficient spatio-temporal features.
Appl. Soft Comput., 2022
2021
A deep neural network based framework for restoring the damaged persian pottery via digital inpainting.
J. Comput. Sci., 2021
RCSMOTE: Range-Controlled synthetic minority over-sampling technique for handling the class imbalance problem.
Inf. Sci., 2021
CGFFCM: Cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation.
Appl. Soft Comput., 2021
2019
Signal Process., 2019
Fire detection for video surveillance applications using ICA K-medoids-based color model and efficient spatio-temporal visual features.
Expert Syst. Appl., 2019
New fuzzy C-means clustering method based on feature-weight and cluster-weight learning.
Appl. Soft Comput., 2019
Retinal blood vessel extraction employing effective image features and combination of supervised and unsupervised machine learning methods.
Artif. Intell. Medicine, 2019
2018
Multim. Tools Appl., 2018
Comput. Electr. Eng., 2018
2016
Combining keypoint-based and segment-based features for counting people in crowded scenes.
Inf. Sci., 2016
Int. J. Comput. Intell. Syst., 2016
2014
Multim. Tools Appl., 2014
2013
Combining velocity and Location-Specific Spatial Clues in Trajectories for Counting Crowded Moving Objects.
Int. J. Pattern Recognit. Artif. Intell., 2013