Mohammadreza Amirian

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 28

Top Topics

Artifact Reduction

Computed Tomography Images

Top Venues

Publications

Mohammadreza Amirian
Deep Learning for Robust and Explainable Models in Computer Vision. CoRR (2024)
Mohammadreza Amirian, Daniel Barco, Ivo Herzig, Frank-Peter Schilling
Artifact Reduction in 3D and 4D Cone-beam Computed Tomography Images with Deep Learning - A Review. CoRR (2024)
Mohammadreza Amirian, Daniel Barco, Ivo Herzig, Frank-Peter Schilling
Artifact Reduction in 3D and 4D Cone-Beam Computed Tomography Images With Deep Learning: A Review. IEEE Access 12 (2024)
Mohammadreza Amirian, Friedhelm Schwenker, Thilo Stadelmann
Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps. CoRR (2022)
Mohammadreza Amirian, Friedhelm Schwenker
Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability. CoRR (2022)
Samuel Wehrli, Corinna Hertweck, Mohammadreza Amirian, Stefan Glüge, Thilo Stadelmann
Bias, awareness, and ignorance in deep-learning-based face recognition. AI Ethics 2 (3) (2022)
Mohammadreza Amirian, Javier A. Montoya-Zegarra, Jonathan Gruss, Yves D. Stebler, Ahmet Selman Bozkir, Marco Calandri, Friedhelm Schwenker, Thilo Stadelmann
PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis. CoRR (2022)
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
Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database. IEEE Trans. Affect. Comput. 12 (3) (2021)
Mohammadreza Amirian, Javier A. Montoya-Zegarra, Jonathan Gruss, Yves D. Stebler, Ahmet Selman Bozkir, Marco Calandri, Friedhelm Schwenker, Thilo Stadelmann
PrepNet: A Convolutional Auto-Encoder to Homogenize CT Scans for Cross-Dataset Medical Image Analysis. CISP-BMEI (2021)
Mohammadreza Amirian, Lukas Tuggener, Ricardo Chavarriaga, Yvan Putra Satyawan, Frank-Peter Schilling, Friedhelm Schwenker, Thilo Stadelmann
Two to Trust: AutoML for Safe Modelling and Interpretable Deep Learning for Robustness. TAILOR (2020)
Mohammadreza Amirian, Friedhelm Schwenker
Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability. IEEE Access 8 (2020)
Stefan Glüge, Mohammadreza Amirian, Dandolo Flumini, Thilo Stadelmann
How (Not) to Measure Bias in Face Recognition Networks. ANNPR (2020)
Lukas Tuggener, Mohammadreza Amirian, Katharina Rombach, Stefan Lörwald, Anastasia Varlet, Christian Westermann, Thilo Stadelmann
Automated Machine Learning in Practice: State of the Art and Recent Results. CoRR (2019)
Lukas Tuggener, Mohammadreza Amirian, Katharina Rombach, Stefan Lörwald, Anastasia Varlet, Christian Westermann, Thilo Stadelmann
Automated Machine Learning in Practice: State of the Art and Recent Results. SDS (2019)
Benjamin Bruno Meier, Ismail Elezi, Mohammadreza Amirian, Oliver Dürr, Thilo Stadelmann
Learning Neural Models for End-to-End Clustering. ANNPR (2018)
Mohammadreza Amirian, Friedhelm Schwenker, Thilo Stadelmann
Trace and Detect Adversarial Attacks on CNNs Using Feature Response Maps. ANNPR (2018)
Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, Marek Arnold, Gilbert François Duivesteijn, Ismail Elezi, Melanie Geiger, Stefan Lörwald, Benjamin Bruno Meier, Katharina Rombach, Lukas Tuggener
Deep Learning in the Wild. CoRR (2018)
Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, Marek Arnold, Gilbert François Duivesteijn, Ismail Elezi, Melanie Geiger, Stefan Lörwald, Benjamin Bruno Meier, Katharina Rombach, Lukas Tuggener
Deep Learning in the Wild. ANNPR (2018)
Benjamin Bruno Meier, Ismail Elezi, Mohammadreza Amirian, Oliver Durr, Thilo Stadelmann
Learning Neural Models for End-to-End Clustering. CoRR (2018)
Mohammadreza Amirian, Markus Kächele, Günther Palm, Friedhelm Schwenker
Support Vector Regression of Sparse Dictionary-Based Features for View-Independent Action Unit Intensity Estimation. FG (2017)
Viktor Kessler, Patrick Thiam, Mohammadreza Amirian, Friedhelm Schwenker
Pain recognition with camera photoplethysmography. IPTA (2017)
Taye Girma Debelee, Mohammadreza Amirian, Achim Ibenthal, Günther Palm, Friedhelm Schwenker
Classification of Mammograms Using Convolutional Neural Network Based Feature Extraction. ICT4DA (2017)
Markus Kächele, Mohammadreza Amirian, Patrick Thiam, Philipp Werner, Steffen Walter, Günther Palm, Friedhelm Schwenker
Adaptive confidence learning for the personalization of pain intensity estimation systems. Evol. Syst. 8 (1) (2017)
Viktor Kessler, Patrick Thiam, Mohammadreza Amirian, Friedhelm Schwenker
Multimodal fusion including camera photoplethysmography for pain recognition. ICCT (2017)
Markus Kächele, Patrick Thiam, Mohammadreza Amirian, Friedhelm Schwenker, Günther Palm
Methods for Person-Centered Continuous Pain Intensity Assessment From Bio-Physiological Channels. IEEE J. Sel. Top. Signal Process. 10 (5) (2016)
Mohammadreza Amirian, Markus Kächele, Patrick Thiam, Viktor Kessler, Friedhelm Schwenker
Continuous Multimodal Human Affect Estimation using Echo State Networks. AVEC@ACM Multimedia (2016)
Mohammadreza Amirian, Markus Kächele, Friedhelm Schwenker
Using Radial Basis Function Neural Networks for Continuous and Discrete Pain Estimation from Bio-physiological Signals. ANNPR (2016)
Markus Kächele, Patrick Thiam, Mohammadreza Amirian, Philipp Werner, Steffen Walter, Friedhelm Schwenker, Günther Palm
Multimodal Data Fusion for Person-Independent, Continuous Estimation of Pain Intensity. EANN (2015)
Kamran Kazemi, Mohammadreza Amirian, Mohammad Javad Dehghani
The S-transform using a new window to improve frequency and time resolutions. Signal Image Video Process. 8 (3) (2014)