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)

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)

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)

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)

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)