Mohammadreza Amirian
Orcid: 0000-0003-0047-6802
According to our database1,
Mohammadreza Amirian
authored at least 24 papers
between 2014 and 2024.
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Bibliography
2024
Artifact Reduction in 3D and 4D Cone-Beam Computed Tomography Images With Deep Learning: A Review.
IEEE Access, 2024
2023
2022
AI Ethics, 2022
2021
IEEE Trans. Affect. Comput., 2021
PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021
2020
Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability.
IEEE Access, 2020
Two to Trust: AutoML for Safe Modelling and Interpretable Deep Learning for Robustness.
Proceedings of the Trustworthy AI - Integrating Learning, Optimization and Reasoning, 2020
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2020
2019
Proceedings of the 6th Swiss Conference on Data Science, 2019
Unsupervised Learning and Simulation for Complexity Management in Business Operations.
Proceedings of the Applied Data Science - Lessons Learned for the Data-Driven Business, 2019
2018
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018
2017
Adaptive confidence learning for the personalization of pain intensity estimation systems.
Evol. Syst., 2017
Proceedings of the Seventh International Conference on Image Processing Theory, 2017
Classification of Mammograms Using Convolutional Neural Network Based Feature Extraction.
Proceedings of the Information and Communication Technology for Development for Africa, 2017
Support Vector Regression of Sparse Dictionary-Based Features for View-Independent Action Unit Intensity Estimation.
Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017
Proceedings of the International Conference on Companion Technology, 2017
2016
Methods for Person-Centered Continuous Pain Intensity Assessment From Bio-Physiological Channels.
IEEE J. Sel. Top. Signal Process., 2016
Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, 2016
Using Radial Basis Function Neural Networks for Continuous and Discrete Pain Estimation from Bio-physiological Signals.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016
2015
Multimodal Data Fusion for Person-Independent, Continuous Estimation of Pain Intensity.
Proceedings of the Engineering Applications of Neural Networks, 2015
2014
Signal Image Video Process., 2014