Soroosh Tayebi Arasteh

36 papers A 1Journal 33Unranked 2

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`	Differential privacy representation geometry for medical image analysis. CoRR Soroosh Tayebi Arasteh, Marziyeh Mohammadi, Sven Nebelung, Daniel Truhn
2026	J	`jnl`	SteuerLLM: Local specialized large language model for German tax law analysis. CoRR Sebastian Wind, Jeta Sopa, Laurin Schmid, Quirin Jackl, Sebastian Kiefer, Fei Wu, Martin Mayr, Harald Köstler, Gerhard Wellein, Andreas 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`	From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine. CoRR Lukas Buess, Matthias Keicher, Nassir Navab, 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
2025	J	`jnl`	Resolution scaling governs DINOv3 transfer performance in chest radiograph classification. CoRR Soroosh Tayebi Arasteh, Mina Shaigan, Christiane Kuhl, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn
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`	Encrypted federated learning for secure decentralized collaboration in cancer image analysis. Medical Image Anal. Daniel Truhn, Soroosh Tayebi Arasteh, Oliver Lester Saldanha, Gustav Müller-Franzes, Firas Khader, Philip Quirke, Nicholas P. West, Richard Gray, Gordon G. A. Hutchins, Jacqueline A. James, Maurice B. Loughrey, Manuel Salto-Tellez, Hermann Brenner, Alexander Brobeil, Tanwei Yuan, Jenny Chang-Claude, Michael Hoffmeister, Sebastian Foersch, Tianyu Han, Sebastian Keil, Maximilian Schulze-Hagen, Peter Isfort, Philipp Bruners, Georgios Kaissis, Christiane Kuhl, Sven Nebelung, Jakob Nikolas Kather
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
2024	J	`jnl`	The Impact of Speech Anonymization on Pathology and Its Limits. CoRR Soroosh Tayebi Arasteh, Tomás Arias-Vergara, Paula Andrea Pérez-Toro, Tobias Weise, Kai Packhäuser, Maria Schuster, Elmar Nöth, Andreas Maier, Seung Hee Yang
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`	Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images. CoRR Soroosh Tayebi Arasteh, Leo Misera, Jakob Nikolas Kather, Daniel Truhn, Sven Nebelung
2023	A	`conf`	Federated Learning for Secure Development of AI Models for Parkinson's Disease Detection Using Speech from Different Languages. INTERSPEECH Soroosh Tayebi Arasteh, Cristian David Ríos-Urrego, Elmar Nöth, Andreas Maier, Seung Hee Yang, Jan Rusz, Juan Rafael Orozco-Arroyave
2023	J	`jnl`	Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages. CoRR Soroosh Tayebi Arasteh, Cristian David Ríos-Urrego, Elmar Nöth, Andreas K. Maier, Seung Hee Yang, Jan Rusz, Juan Rafael Orozco-Arroyave
2023	J	`jnl`	Fibroglandular Tissue Segmentation in Breast MRI using Vision Transformers - A multi-institutional evaluation. CoRR 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
2023	J	`jnl`	Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI Models. CoRR Soroosh Tayebi Arasteh, Christiane Kuhl, Marwin-Jonathan Saehn, Peter Isfort, 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
2023	J	`jnl`	Private, fair and accurate: Training large-scale, privacy-preserving AI models in radiology. CoRR Soroosh Tayebi Arasteh, Alexander Ziller, Christiane Kuhl, Marcus R. Makowski, Sven Nebelung, Rickmer Braren, Daniel Rueckert, Daniel Truhn, Georgios Kaissis
2023	—	`conf`	Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection. ISBI Firas Khader, Gustav Müller-Franzes, Soroosh Tayebi Arasteh, Tianyu Han, Jakob Nikolas Kather, Johannes Stegmaier, Sven Nebelung, Daniel Truhn
2022	J	`jnl`	Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels. CoRR Soroosh Tayebi Arasteh, Peter Isfort, Marwin Saehn, Gustav Mueller-Franzes, Firas Khader, Jakob Nikolas Kather, Christiane Kuhl, Sven Nebelung, Daniel Truhn
2022	J	`jnl`	Diffusion Probabilistic Models beat GANs on Medical Images. CoRR 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
2022	J	`jnl`	Is Speech Pathology a Biomarker in Automatic Speaker Verification? CoRR Soroosh Tayebi Arasteh, Tobias Weise, Maria Schuster, Elmar Nöth, Andreas K. Maier, Seung Hee Yang
2022	J	`jnl`	Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis. CoRR 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
2022	J	`jnl`	Medical Diffusion - Denoising Diffusion Probabilistic Models for 3D Medical Image Generation. CoRR 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, Sven Nebelung, Jakob Nikolas Kather, Daniel Truhn
2021	J	`jnl`	Conversion Between Cubic Bezier Curves and Catmull-Rom Splines. SN Comput. Sci. Soroosh Tayebi Arasteh, Adam Kalisz
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
2020	J	`jnl`	Conversion Between Bezier and Catmull-Rom Splines. CoRR Soroosh Tayebi Arasteh, Adam Kalisz
2020	J	`jnl`	Generalized LSTM-based End-to-End Text-Independent Speaker Verification. CoRR Soroosh Tayebi Arasteh