Hassan Khotanlou
Orcid: 0000-0001-7351-9397
According to our database1,
Hassan Khotanlou
authored at least 31 papers
between 2005 and 2025.
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Bibliography
2025
Digit. Signal Process., 2025
2024
Multim. Tools Appl., October, 2024
Data stream classification using a deep transfer learning method based on extreme learning machine and recurrent neural network.
Multim. Tools Appl., July, 2024
Biomed. Signal Process. Control., 2024
Dual branch deep learning network for detection and stage grading of diabetic retinopathy.
Biomed. Signal Process. Control., 2024
2023
Robust Semi-Supervised Fake News Recognition by Effective Augmentations and Ensemble of Diverse Deep Learners.
IEEE Access, 2023
2022
CapsNet-based brain tumor segmentation in multimodal MRI images using inhomogeneous voxels in Del vector domain.
Multim. Tools Appl., 2022
2021
Brain tumor classification using deep convolutional autoencoder-based neural network: multi-task approach.
Multim. Tools Appl., 2021
2020
DTW-CNN: time series-based human interaction prediction in videos using CNN-extracted features.
Vis. Comput., 2020
Multim. Tools Appl., 2020
Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysis.
Digit. Signal Process., 2020
An Empirical Study on Detecting COVID-19 in Chest X-ray Images Using Deep Learning Based Methods.
CoRR, 2020
2019
Weakly supervised pairwise Frank-Wolfe algorithm to recognize a sequence of human actions in RGB-D videos.
Signal Image Video Process., 2019
Int. J. Comput. Math., 2019
IET Signal Process., 2019
An Efficient Approach for Using Expectation Maximization Algorithm in Capsule Networks.
CoRR, 2019
An Empirical Study on Position of the Batch Normalization Layer in Convolutional Neural Networks.
CoRR, 2019
2018
Signal Image Video Process., 2018
Sparse Connectivity and Activity Using Sequential Feature Selection in Supervised Learning.
Appl. Artif. Intell., 2018
2017
Medical Image Anal., 2017
Image contrast enhancement using fuzzy clustering with adaptive cluster parameter and sub-histogram equalization.
Digit. Signal Process., 2017
2016
Swarm Evol. Comput., 2016
2015
Artificial Neural Networks and Advanced Fuzzy Techniques for Predicting Noise Level in the Industrial Embroidery Workrooms.
Appl. Artif. Intell., 2015
2010
Uterine Fibroid Segmentation on MRI based on Chan-vese Level Set Method and Shape Prior Model.
Proceedings of the IMAGAPP 2010 - Proceedings of the International Conference on Imaging Theory and Applications and IVAPP 2010 - Proceedings of the International Conference on Information Visualization Theory and Applications, Angers, France, May 17, 2010
2009
3D brain tumor segmentation in MRI using fuzzy classification, symmetry analysis and spatially constrained deformable models.
Fuzzy Sets Syst., 2009
2007
Adaptive Segmentation of Internal Brain Structures in Pathological Mr Images Depending on Tumor Types.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
2005
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005