Mahshad Lotfinia

According to our database, Mahshad Lotfinia authored at least 16 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Safety and accuracy follow different scaling laws in clinical large language models.

Sebastian Wind, Tri-Thien Nguyen, Jeta Sopa, Mahshad Lotfinia, Sebastian Bickelhaupt, Michael Uder, Harald Köstler, Gerhard Wellein, Sven Nebelung, Daniel Truhn, Andreas K. Maier, Soroosh Tayebi Arasteh

CoRR, May, 2026

Case-Grounded Evidence Verification: A Framework for Constructing Evidence-Sensitive Supervision.

Soroosh Tayebi Arasteh, Mehdi Joodaki, Mahshad Lotfinia, Sven Nebelung, Daniel Truhn

CoRR, April, 2026

Agentic retrieval-augmented reasoning reshapes collective reliability under model variability in radiology question answering.

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

CoRR, March, 2026

The role of self-supervised pretraining in differentially private medical image analysis.

Soroosh Tayebi Arasteh, Mina Farajiamiri, Mahshad Lotfinia, Behrus Hinrichs-Puladi, Jonas Bienzeisler, Mohamed Alhaskir, Mirabela Rusu, Christiane Kuhl, Sven Nebelung, Daniel Truhn

CoRR, January, 2026

Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications.

Marziyeh Mohammadi, Mohsen Vejdanihemmat, Mahshad Lotfinia, Mirabela Rusu, Daniel Truhn, Andreas K. Maier, Soroosh Tayebi Arasteh

npj Digit. Medicine, 2026

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, August, 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, June, 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, Seung Hee Yang, Andreas Maier

CoRR, May, 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, April, 2025

Multi-step retrieval and reasoning improves radiology question answering with large language models.

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

npj Digit. Medicine, 2025

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

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

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

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

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

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

Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021