Generalized LSTM-based End-to-End Text-Independent Speaker Verification. - Soroosh Tayebi Arasteh (CoRR, 2020)

Conversion Between Bezier and Catmull-Rom Splines. - Soroosh Tayebi Arasteh; Adam Kalisz (CoRR, 2020)

How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies. - Soroosh Tayebi Arasteh; Mehrpad Monajem; Vincent Christlein; Philipp Heinrich; Anguelos Nicolaou; Hamidreza Naderi Boldaji; Mahshad Lotfinia; Stefan Evert (ICSC, 2021)

Machine Learning-Based Generalized Model for Finite Element Analysis of Roll Deflection During the Austenitic Stainless Steel 316L Strip Rolling. - Mahshad Lotfinia; Soroosh Tayebi Arasteh (CoRR, 2021)

Conversion Between Cubic Bezier Curves and Catmull-Rom Splines. - Soroosh Tayebi Arasteh; Adam Kalisz (SN Comput. Sci., 2021)

Is Speech Pathology a Biomarker in Automatic Speaker Verification? - Soroosh Tayebi Arasteh; Tobias Weise; Maria Schuster; Elmar Nöth; Andreas K. Maier; Seung Hee Yang (CoRR, 2022)

Medical Diffusion - Denoising Diffusion Probabilistic Models for 3D Medical Image Generation. - Firas Khader; Gustav Mueller-Franzes; Soroosh Tayebi Arasteh; Tianyu Han; Christoph Haarburger; Maximilian Schulze-Hagen; Philipp Schad; Sandy Engelhardt; Bettina Baeßler; Sebastian Foersch; Johannes Stegmaier; Christiane Kuhl; et al. (CoRR, 2022)

Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels. - Soroosh Tayebi Arasteh; Peter Isfort; Marwin Saehn; Gustav Mueller-Franzes; Firas Khader; Jakob Nikolas Kather; Christiane Kuhl; Sven Nebelung; Daniel Truhn (CoRR, 2022)

Diffusion Probabilistic Models beat GANs on Medical Images. - Gustav Müller-Franzes; Jan Moritz Niehues; Firas Khader; Soroosh Tayebi Arasteh; Christoph Haarburger; Christiane Kuhl; Tianci Wang; Tianyu Han; Sven Nebelung; Jakob Nikolas Kather; Daniel Truhn (CoRR, 2022)

Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis. - Firas Khader; Gustav Mueller-Franzes; Tianci Wang; Tianyu Han; Soroosh Tayebi Arasteh; Christoph Haarburger; Johannes Stegmaier; Keno K. Bressem; Christiane Kuhl; Sven Nebelung; Jakob Nikolas Kather; Daniel Truhn (CoRR, 2022)

Federated Learning for Secure Development of AI Models for Parkinson's Disease Detection Using Speech from Different Languages. - Soroosh Tayebi Arasteh; Cristian David Ríos-Urrego; Elmar Nöth; Andreas Maier 001; Seung Hee Yang; Jan Rusz; Juan Rafael Orozco-Arroyave (INTERSPEECH, 2023)

Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection. - Firas Khader; Gustav Müller-Franzes; Soroosh Tayebi Arasteh; Tianyu Han; Jakob Nikolas Kather; Johannes Stegmaier; Sven Nebelung; Daniel Truhn (ISBI, 2023)

Private, fair and accurate: Training large-scale, privacy-preserving AI models in radiology. - Soroosh Tayebi Arasteh; Alexander Ziller; Christiane Kuhl; Marcus R. Makowski; Sven Nebelung; Rickmer Braren; Daniel Rueckert; Daniel Truhn; Georgios Kaissis (CoRR, 2023)

Fibroglandular Tissue Segmentation in Breast MRI using Vision Transformers - A multi-institutional evaluation. - Gustav Müller-Franzes; Fritz Müller-Franzes; Luisa Huck; Vanessa Raaff; Eva Kemmer; Firas Khader; Soroosh Tayebi Arasteh; Teresa Nolte; Jakob Nikolas Kather; Sven Nebelung; Christiane Kuhl; Daniel Truhn (CoRR, 2023)

Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy. - Soroosh Tayebi Arasteh; Mahshad Lotfinia; Teresa Nolte; Marwin Saehn; Peter Isfort; Christiane Kuhl; Sven Nebelung; Georgios Kaissis; Daniel Truhn (CoRR, 2023)

Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images. - Soroosh Tayebi Arasteh; Leo Misera; Jakob Nikolas Kather; Daniel Truhn; Sven Nebelung (CoRR, 2023)

Empowering Clinicians and Democratizing Data Science: Large Language Models Automate Machine Learning for Clinical Studies. - Soroosh Tayebi Arasteh; Tianyu Han; Mahshad Lotfinia; Christiane Kuhl; Jakob Nikolas Kather; Daniel Truhn; Sven Nebelung (CoRR, 2023)

Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI Models. - Soroosh Tayebi Arasteh; Christiane Kuhl; Marwin-Jonathan Saehn; Peter Isfort; Daniel Truhn; Sven Nebelung (CoRR, 2023)

The Impact of Speech Anonymization on Pathology and Its Limits. - Soroosh Tayebi Arasteh; Tomás Arias-Vergara; Paula Andrea Pérez-Toro; Tobias Weise; Kai Packhäuser; Maria Schuster; Elmar Nöth; Andreas Maier 001; Seung Hee Yang (CoRR, 2024)

RadioRAG: Factual Large Language Models for Enhanced Diagnostics in Radiology Using Dynamic Retrieval Augmented Generation. - Soroosh Tayebi Arasteh; Mahshad Lotfinia; Keno K. Bressem; Robert Siepmann; Dyke Ferber; Christiane Kuhl; Jakob Nikolas Kather; Sven Nebelung; Daniel Truhn (CoRR, 2024)

Differential privacy for protecting patient data in speech disorder detection using deep learning. - Soroosh Tayebi Arasteh; Mahshad Lotfinia; Paula Andrea Pérez-Toro; Tomás Arias-Vergara; Juan Rafael Orozco-Arroyave; Maria Schuster; Andreas K. Maier; Seung Hee Yang (CoRR, 2024)

Encrypted federated learning for secure decentralized collaboration in cancer image analysis. - Daniel Truhn; Soroosh Tayebi Arasteh; Oliver Lester Saldanha; Gustav Müller-Franzes; Firas Khader; Philip Quirke; Nicholas P. West; Richard Gray 005; Gordon G. A. Hutchins; Jacqueline A. James; Maurice B. Loughrey; Manuel Salto-Tellez; et al. (Medical Image Anal., 2024)

From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine. - Lukas Buess; Matthias Keicher; Nassir Navab; Andreas K. Maier; Soroosh Tayebi Arasteh (CoRR, 2025)

Boosting multi-demographic federated learning for chest x-ray analysis using general-purpose self-supervised representations. - Mahshad Lotfinia; Arash Tayebiarasteh; Samaneh Samiei; Mehdi Joodaki; Soroosh Tayebi Arasteh (CoRR, 2025)

Perceptual Implications of Automatic Anonymization in Pathological Speech. - Soroosh Tayebi Arasteh; Saba Afza; Tri-Thien Nguyen; Lukas Buess; Maryam Parvin; Tomás Arias-Vergara; Paula Andrea Pérez-Toro; Hiuching Hung; Mahshad Lotfinia; Thomas Gorges; Elmar Nöth; Maria Schuster; et al. (CoRR, 2025)

Differential Privacy for Deep Learning in Medicine. - Marziyeh Mohammadi; Mohsen Vejdanihemmat; Mahshad Lotfinia; Mirabela Rusu; Daniel Truhn; Andreas K. Maier; Soroosh Tayebi Arasteh (CoRR, 2025)

Agentic large language models improve retrieval-based radiology question answering. - Sebastian Wind; Jeta Sopa; Daniel Truhn; Mahshad Lotfinia; Tri-Thien Nguyen; Keno K. Bressem; Lisa Adams; Mirabela Rusu; Harald Köstler; Gerhard Wellein; Andreas K. Maier; Soroosh Tayebi Arasteh (CoRR, 2025)