Mahshad Lotfinia

15 papers Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic retrieval-augmented reasoning reshapes collective reliability under model variability in radiology question answering. CoRR Mina Farajiamiri, Jeta Sopa, Saba Afza, Lisa Adams, Felix Barajas Ordonez, Tri-Thien Nguyen, Mahshad Lotfinia, Sebastian Wind, Keno K. Bressem, Sven Nebelung, Daniel Truhn, Soroosh Tayebi Arasteh
2026	J	`jnl`	Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications. npj Digit. Medicine Marziyeh Mohammadi, Mohsen Vejdanihemmat, Mahshad Lotfinia, Mirabela Rusu, Daniel Truhn, Andreas K. Maier, Soroosh Tayebi Arasteh
2026	J	`jnl`	The role of self-supervised pretraining in differentially private medical image analysis. CoRR Soroosh Tayebi Arasteh, Mina Farajiamiri, Mahshad Lotfinia, Behrus Hinrichs-Puladi, Jonas Bienzeisler, Mohamed Alhaskir, Mirabela Rusu, Christiane Kuhl, Sven Nebelung, Daniel Truhn
2025	J	`jnl`	Agentic large language models improve retrieval-based radiology question answering. CoRR 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
2025	J	`jnl`	Boosting multi-demographic federated learning for chest x-ray analysis using general-purpose self-supervised representations. CoRR Mahshad Lotfinia, Arash Tayebiarasteh, Samaneh Samiei, Mehdi Joodaki, Soroosh Tayebi Arasteh
2025	J	`jnl`	Differential Privacy for Deep Learning in Medicine. CoRR Marziyeh Mohammadi, Mohsen Vejdanihemmat, Mahshad Lotfinia, Mirabela Rusu, Daniel Truhn, Andreas K. Maier, Soroosh Tayebi Arasteh
2025	J	`jnl`	Multi-step retrieval and reasoning improves radiology question answering with large language models. npj Digit. Medicine 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
2025	J	`jnl`	Perceptual Implications of Automatic Anonymization in Pathological Speech. CoRR 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, Seung Hee Yang, Andreas Maier
2024	J	`jnl`	Differential privacy for protecting patient data in speech disorder detection using deep learning. CoRR Soroosh Tayebi Arasteh, Mahshad Lotfinia, Paula Andrea Pérez-Toro, Tomás Arias-Vergara, Juan Rafael Orozco-Arroyave, Maria Schuster, Andreas K. Maier, Seung Hee Yang
2024	J	`jnl`	RadioRAG: Factual Large Language Models for Enhanced Diagnostics in Radiology Using Dynamic Retrieval Augmented Generation. CoRR Soroosh Tayebi Arasteh, Mahshad Lotfinia, Keno K. Bressem, Robert Siepmann, Dyke Ferber, Christiane Kuhl, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn
2023	J	`jnl`	Empowering Clinicians and Democratizing Data Science: Large Language Models Automate Machine Learning for Clinical Studies. CoRR Soroosh Tayebi Arasteh, Tianyu Han, Mahshad Lotfinia, Christiane Kuhl, Jakob Nikolas Kather, Daniel Truhn, Sven Nebelung
2023	J	`jnl`	Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy. CoRR Soroosh Tayebi Arasteh, Mahshad Lotfinia, Teresa Nolte, Marwin Saehn, Peter Isfort, Christiane Kuhl, Sven Nebelung, Georgios Kaissis, Daniel Truhn
2021	—	`conf`	How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies. ICSC Soroosh Tayebi Arasteh, Mehrpad Monajem, Vincent Christlein, Philipp Heinrich, Anguelos Nicolaou, Hamidreza Naderi Boldaji, Mahshad Lotfinia, Stefan Evert
2021	J	`jnl`	How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies. CoRR Soroosh Tayebi Arasteh, Mehrpad Monajem, Vincent Christlein, Philipp Heinrich, Anguelos Nicolaou, Hamidreza Naderi Boldaji, Mahshad Lotfinia, Stefan Evert
2021	J	`jnl`	Machine Learning-Based Generalized Model for Finite Element Analysis of Roll Deflection During the Austenitic Stainless Steel 316L Strip Rolling. CoRR Mahshad Lotfinia, Soroosh Tayebi Arasteh