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)

Multimodal Data Fusion for Person-Independent, Continuous Estimation of Pain Intensity. - Markus Kächele; Patrick Thiam; Mohammadreza Amirian; Philipp Werner; Steffen Walter 001; Friedhelm Schwenker; Günther Palm (EANN, 2015)

Using Radial Basis Function Neural Networks for Continuous and Discrete Pain Estimation from Bio-physiological Signals. - Mohammadreza Amirian; Markus Kächele; Friedhelm Schwenker (ANNPR, 2016)

Continuous Multimodal Human Affect Estimation using Echo State Networks. - Mohammadreza Amirian; Markus Kächele; Patrick Thiam; Viktor Kessler; Friedhelm Schwenker (AVEC@ACM Multimedia, 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)

Multimodal fusion including camera photoplethysmography for pain recognition. - Viktor Kessler; Patrick Thiam; Mohammadreza Amirian; Friedhelm Schwenker (ICCT, 2017)

Support Vector Regression of Sparse Dictionary-Based Features for View-Independent Action Unit Intensity Estimation. - Mohammadreza Amirian; Markus Kächele; Günther Palm; Friedhelm Schwenker (FG, 2017)

Classification of Mammograms Using Convolutional Neural Network Based Feature Extraction. - Taye Girma Debelee; Mohammadreza Amirian; Achim Ibenthal; Günther Palm; Friedhelm Schwenker (ICT4DA, 2017)

Pain recognition with camera photoplethysmography. - Viktor Kessler; Patrick Thiam; Mohammadreza Amirian; Friedhelm Schwenker (IPTA, 2017)

Adaptive confidence learning for the personalization of pain intensity estimation systems. - Markus Kächele; Mohammadreza Amirian; Patrick Thiam; Philipp Werner; Steffen Walter 001; Günther Palm; Friedhelm Schwenker (Evol. Syst., 2017)

Trace and Detect Adversarial Attacks on CNNs Using Feature Response Maps. - Mohammadreza Amirian; Friedhelm Schwenker; Thilo Stadelmann (ANNPR, 2018)

Learning Neural Models for End-to-End Clustering. - Benjamin Bruno Meier; Ismail Elezi; Mohammadreza Amirian; Oliver Dürr; Thilo Stadelmann (ANNPR, 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 (ANNPR, 2018)

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 (Applied Data Science, 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 (SDS, 2019)

How (Not) to Measure Bias in Face Recognition Networks. - Stefan Glüge; Mohammadreza Amirian; Dandolo Flumini; Thilo Stadelmann (ANNPR, 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 (TAILOR, 2020)

Radial Basis Function Networks for Convolutional Neural Networks to Learn Similarity Distance Metric and Improve Interpretability. - Mohammadreza Amirian; Friedhelm Schwenker (IEEE Access, 2020)

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 (CISP-BMEI, 2021)

Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database. - Patrick Thiam; Viktor Kessler; Mohammadreza Amirian; Peter Bellmann; Georg Layher; Yan Zhang 054; Maria Velana; Sascha Gruss; Steffen Walter 001; Harald C. Traue; Daniel Schork; Jonghwa Kim 001; et al. (IEEE Trans. Affect. Comput., 2021)

Bias, awareness, and ignorance in deep-learning-based face recognition. - Samuel Wehrli; Corinna Hertweck; Mohammadreza Amirian; Stefan Glüge; Thilo Stadelmann (AI Ethics, 2022)

Deep Learning for Robust and Explainable Models in Computer Vision. - Mohammadreza Amirian (2023)

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)

Deep Learning for Robust and Explainable Models in Computer Vision. - Mohammadreza Amirian (CoRR, 2024)

A Multi-Centric Anthropomorphic 3D CT Phantom-Based Benchmark Dataset for Harmonization. - Mohammadreza Amirian; Michael Bach; Oscar Alfonso Jiménez del Toro; Christoph Aberle; Roger Schaer; Vincent Andrearczyk; Jean-Félix Maestrati; María Martin Asiain; Kyriakos Flouris; Markus M. Obmann; Clarisse Dromain; Benoît Dufour; et al. (CoRR, 2025)