Soroosh Tayebi Arasteh

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 23

Top Topics

Image Generation

Medical Diagnosis

Probabilistic Model

Finite Element Analysis

Top Venues

Medical Image Anal.

Publications

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
Encrypted federated learning for secure decentralized collaboration in cancer image analysis. Medical Image Anal. 92 (2024)
Soroosh Tayebi Arasteh, Mahshad Lotfinia, Keno K. Bressem, Robert Siepmann, Dyke Ferber, Christiane Kuhl, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn
RadioRAG: Factual Large Language Models for Enhanced Diagnostics in Radiology Using Dynamic Retrieval Augmented Generation. CoRR (2024)
Soroosh Tayebi Arasteh, Tomás Arias-Vergara, Paula Andrea Pérez-Toro, Tobias Weise, Kai Packhäuser, Maria Schuster, Elmar Nöth, Andreas Maier, Seung Hee Yang
The Impact of Speech Anonymization on Pathology and Its Limits. CoRR (2024)
Soroosh Tayebi Arasteh, Tianyu Han, Mahshad Lotfinia, Christiane Kuhl, Jakob Nikolas Kather, Daniel Truhn, Sven Nebelung
Empowering Clinicians and Democratizing Data Science: Large Language Models Automate Machine Learning for Clinical Studies. CoRR (2023)
Soroosh Tayebi Arasteh, Alexander Ziller, Christiane Kuhl, Marcus R. Makowski, Sven Nebelung, Rickmer Braren, Daniel Rueckert, Daniel Truhn, Georgios Kaissis
Private, fair and accurate: Training large-scale, privacy-preserving AI models in radiology. CoRR (2023)
Soroosh Tayebi Arasteh, Cristian David Rios-Urrego, Elmar Nöth, Andreas K. Maier, Seung Hee Yang, Jan Rusz, Juan Rafael Orozco-Arroyave
Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages. CoRR (2023)
Soroosh Tayebi Arasteh, Cristian David Ríos-Urrego, Elmar Nöth, Andreas Maier, Seung Hee Yang, Jan Rusz, Juan Rafael Orozco-Arroyave
Federated Learning for Secure Development of AI Models for Parkinson's Disease Detection Using Speech from Different Languages. INTERSPEECH (2023)
Soroosh Tayebi Arasteh, Christiane Kuhl, Marwin-Jonathan Saehn, Peter Isfort, Daniel Truhn, Sven Nebelung
Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI Models. CoRR (2023)
Firas Khader, Gustav Müller-Franzes, Soroosh Tayebi Arasteh, Tianyu Han, Jakob Nikolas Kather, Johannes Stegmaier, Sven Nebelung, Daniel Truhn
Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection. ISBI (2023)
Soroosh Tayebi Arasteh, Mahshad Lotfinia, Teresa Nolte, Marwin Saehn, Peter Isfort, Christiane Kuhl, Sven Nebelung, Georgios Kaissis, Daniel Truhn
Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy. CoRR (2023)
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
Fibroglandular Tissue Segmentation in Breast MRI using Vision Transformers - A multi-institutional evaluation. CoRR (2023)
Soroosh Tayebi Arasteh, Leo Misera, Jakob Nikolas Kather, Daniel Truhn, Sven Nebelung
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images. CoRR (2023)
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
Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis. CoRR (2022)
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
Diffusion Probabilistic Models beat GANs on Medical Images. CoRR (2022)
Soroosh Tayebi Arasteh, Peter Isfort, Marwin Saehn, Gustav Mueller-Franzes, Firas Khader, Jakob Nikolas Kather, Christiane Kuhl, Sven Nebelung, Daniel Truhn
Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels. CoRR (2022)
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
Medical Diffusion - Denoising Diffusion Probabilistic Models for 3D Medical Image Generation. CoRR (2022)
Soroosh Tayebi Arasteh, Tobias Weise, Maria Schuster, Elmar Nöth, Andreas K. Maier, Seung Hee Yang
Is Speech Pathology a Biomarker in Automatic Speaker Verification? CoRR (2022)
Soroosh Tayebi Arasteh, Mehrpad Monajem, Vincent Christlein, Philipp Heinrich, Anguelos Nicolaou, Hamidreza Naderi Boldaji, Mahshad Lotfinia, Stefan Evert
How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies. ICSC (2021)
Mahshad Lotfinia, Soroosh Tayebi Arasteh
Machine Learning-Based Generalized Model for Finite Element Analysis of Roll Deflection During the Austenitic Stainless Steel 316L Strip Rolling. CoRR (2021)
Soroosh Tayebi Arasteh, Mehrpad Monajem, Vincent Christlein, Philipp Heinrich, Anguelos Nicolaou, Hamidreza Naderi Boldaji, Mahshad Lotfinia, Stefan Evert
How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies. CoRR (2021)
Soroosh Tayebi Arasteh, Adam Kalisz
Conversion Between Cubic Bezier Curves and Catmull-Rom Splines. SN Comput. Sci. 2 (5) (2021)
Soroosh Tayebi Arasteh, Adam Kalisz
Conversion Between Bezier and Catmull-Rom Splines. CoRR (2020)
Soroosh Tayebi Arasteh
Generalized LSTM-based End-to-End Text-Independent Speaker Verification. CoRR (2020)