Soroosh Tayebi Arasteh

According to our database, Soroosh Tayebi Arasteh authored at least 19 papers between 2020 and 2024.

Collaborative distances:

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

2024

Encrypted federated learning for secure decentralized collaboration in cancer image analysis.

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

Medical Image Anal., February, 2024

2023

Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI Models.

Soroosh Tayebi Arasteh, Christiane Kuhl, Marwin-Jonathan Saehn, Peter Isfort, Daniel Truhn, Sven Nebelung

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

Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images.

Soroosh Tayebi Arasteh, Leo Misera, 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

Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages.

Soroosh Tayebi Arasteh, Cristian David Rios-Urrego, Elmar Nöth, Andreas K. Maier, Seung Hee Yang, Jan Rusz, Juan Rafael Orozco-Arroyave

CoRR, 2023

Fibroglandular Tissue Segmentation in Breast MRI using Vision Transformers - A multi-institutional evaluation.

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

CoRR, 2023

Private, fair and accurate: Training large-scale, privacy-preserving AI models in radiology.

Soroosh Tayebi Arasteh, Alexander Ziller, Christiane Kuhl, Marcus R. Makowski, Sven Nebelung, Rickmer Braren, Daniel Rueckert, Daniel Truhn, Georgios Kaissis

CoRR, 2023

Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection.

Firas Khader, Gustav Müller-Franzes, Soroosh Tayebi Arasteh, Tianyu Han, Jakob Nikolas Kather, Johannes Stegmaier, Sven Nebelung, Daniel Truhn

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis.

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

CoRR, 2022

Diffusion Probabilistic Models beat GANs on Medical Images.

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

CoRR, 2022

Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels.

Soroosh Tayebi Arasteh, Peter Isfort, Marwin Saehn, Gustav Mueller-Franzes, Firas Khader, Jakob Nikolas Kather, Christiane Kuhl, Sven Nebelung, Daniel Truhn

CoRR, 2022

Medical Diffusion - Denoising Diffusion Probabilistic Models for 3D Medical Image Generation.

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

CoRR, 2022

Is Speech Pathology a Biomarker in Automatic Speaker Verification?

Soroosh Tayebi Arasteh, Tobias Weise, Maria Schuster, Elmar Nöth, Andreas K. Maier, Seung Hee Yang

CoRR, 2022

2021

Conversion Between Cubic Bezier Curves and Catmull-Rom Splines.

Soroosh Tayebi Arasteh, Adam Kalisz

SN Comput. Sci., 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

2020

Conversion Between Bezier and Catmull-Rom Splines.

Soroosh Tayebi Arasteh, Adam Kalisz

CoRR, 2020

Generalized LSTM-based End-to-End Text-Independent Speaker Verification.

Soroosh Tayebi Arasteh

CoRR, 2020