Mohammadreza Amirian

According to our database, Mohammadreza Amirian authored at least 24 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep Learning for Robust and Explainable Models in Computer Vision.

Mohammadreza Amirian

CoRR, 2024

Artifact Reduction in 3D and 4D Cone-Beam Computed Tomography Images With Deep Learning: A Review.

Mohammadreza Amirian, Daniel Barco, Ivo Herzig, Frank-Peter Schilling

IEEE Access, 2024

2023

Deep Learning for Robust and Explainable Models in Computer Vision.

Mohammadreza Amirian

PhD thesis, 2023

2022

PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis.

Mohammadreza Amirian, Javier A. Montoya-Zegarra, Jonathan Gruss, Yves D. Stebler, Ahmet Selman Bozkir, Marco Calandri, Friedhelm Schwenker, Thilo Stadelmann

CoRR, 2022

Bias, awareness, and ignorance in deep-learning-based face recognition.

Samuel Wehrli, Corinna Hertweck, Mohammadreza Amirian, Stefan Glüge, Thilo Stadelmann

AI Ethics, 2022

2021

Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database.

Patrick Thiam, Viktor Kessler, Mohammadreza Amirian, Peter Bellmann, Georg Layher, Yan Zhang, Maria Velana, Sascha Gruss, Steffen Walter, Harald C. Traue, Daniel Schork, Jonghwa Kim, Elisabeth André, Heiko Neumann, Friedhelm Schwenker

IEEE Trans. Affect. Comput., 2021

2020

Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability.

Mohammadreza Amirian, Friedhelm Schwenker

IEEE Access, 2020

Two to Trust: AutoML for Safe Modelling and Interpretable Deep Learning for Robustness.

Mohammadreza Amirian, Lukas Tuggener, Ricardo Chavarriaga, Yvan Putra Satyawan, Frank-Peter Schilling, Friedhelm Schwenker, Thilo Stadelmann

Proceedings of the Trustworthy AI - Integrating Learning, Optimization and Reasoning, 2020

How (Not) to Measure Bias in Face Recognition Networks.

Stefan Glüge, Mohammadreza Amirian, Dandolo Flumini, Thilo Stadelmann

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2020

2019

Automated Machine Learning in Practice: State of the Art and Recent Results.

Lukas Tuggener, Mohammadreza Amirian, Katharina Rombach, Stefan Lörwald, Anastasia Varlet, Christian Westermann, Thilo Stadelmann

Proceedings of the 6th Swiss Conference on Data Science, 2019

Unsupervised Learning and Simulation for Complexity Management in Business Operations.

Lukas Hollenstein, Lukas Lichtensteiger, Thilo Stadelmann, Mohammadreza Amirian, Lukas Budde, Jürg Meierhofer, Rudolf M. Füchslin, Thomas Friedli

Proceedings of the Applied Data Science - Lessons Learned for the Data-Driven Business, 2019

2018

Deep Learning in the Wild.

Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, Marek Arnold, Gilbert François Duivesteijn, Ismail Elezi, Melanie Geiger, Stefan Lörwald, Benjamin Bruno Meier, Katharina Rombach, Lukas Tuggener

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

Learning Neural Models for End-to-End Clustering.

Benjamin Bruno Meier, Ismail Elezi, Mohammadreza Amirian, Oliver Dürr, Thilo Stadelmann

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

Trace and Detect Adversarial Attacks on CNNs Using Feature Response Maps.

Mohammadreza Amirian, Friedhelm Schwenker, Thilo Stadelmann

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

2017

Adaptive confidence learning for the personalization of pain intensity estimation systems.

Markus Kächele, Mohammadreza Amirian, Patrick Thiam, Philipp Werner, Steffen Walter, Günther Palm, Friedhelm Schwenker

Evol. Syst., 2017

Pain recognition with camera photoplethysmography.

Viktor Kessler, Patrick Thiam, Mohammadreza Amirian, Friedhelm Schwenker

Proceedings of the Seventh International Conference on Image Processing Theory, 2017

Classification of Mammograms Using Convolutional Neural Network Based Feature Extraction.

Taye Girma Debelee, Mohammadreza Amirian, Achim Ibenthal, Günther Palm, Friedhelm Schwenker

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.

Mohammadreza Amirian, Markus Kächele, Günther Palm, Friedhelm Schwenker

Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

Multimodal fusion including camera photoplethysmography for pain recognition.

Viktor Kessler, Patrick Thiam, Mohammadreza Amirian, Friedhelm Schwenker

Proceedings of the International Conference on Companion Technology, 2017

2016

Methods for Person-Centered Continuous Pain Intensity Assessment From Bio-Physiological Channels.

Markus Kächele, Patrick Thiam, Mohammadreza Amirian, Friedhelm Schwenker, Günther Palm

IEEE J. Sel. Top. Signal Process., 2016

Continuous Multimodal Human Affect Estimation using Echo State Networks.

Mohammadreza Amirian, Markus Kächele, Patrick Thiam, Viktor Kessler, Friedhelm Schwenker

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.

Mohammadreza Amirian, Markus Kächele, Friedhelm Schwenker

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

2015

Multimodal Data Fusion for Person-Independent, Continuous Estimation of Pain Intensity.

Markus Kächele, Patrick Thiam, Mohammadreza Amirian, Philipp Werner, Steffen Walter, Friedhelm Schwenker, Günther Palm

Proceedings of the Engineering Applications of Neural Networks, 2015

2014

The S-transform using a new window to improve frequency and time resolutions.

Kamran Kazemi, Mohammadreza Amirian, Mohammad Javad Dehghani

Signal Image Video Process., 2014