Soroosh Tayebi Arasteh

Lehrstuhl für Informatik 5 (Mustererkennung)

Securing Collaborative Medical AI by Using Differential Privacy: Domain Transfer for Classification of Chest Radiographs (2024) Tayebi Arasteh S, Lotfinia M, Nolte T, Saehn MJ, Isfort P, Kuhl C, Nebelung S, et al. Journal article, Original article Large language models streamline automated machine learning for clinical studies (2024) Tayebi Arasteh S, Han T, Lotfinia M, Kuhl C, Jakob Nikolas K, Truhn D, Nebelung S Journal article, Original article Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning (2023) Tayebi Arasteh S, Kuhl CK, Saehn MJ, Isfort P, Truhn D, Nebelung S Journal article, Original article The effect of speech pathology on automatic speaker verification: a large-scale study (2023) Tayebi Arasteh S, Weise T, Schuster M, Nöth E, Maier A, Yang SH Journal article, Original article Automated segmentation of 3D cine cardiovascular magnetic resonance imaging (2023) Tayebi Arasteh S, Romanowicz J, Pace DF, Golland P, Powell AJ, Maier A, Truhn D, et al. Journal article, Original article Federated learning for secure development of AI models for Parkinson’s disease detection using speech from different languages (2023) Tayebi Arasteh S, Rios-Urrego CD, Nöth E, Maier A, Yang SH, Rusz J, Rafael Orozco-Arroyave J Conference contribution, Conference Contribution A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis (2023) Müller-Franzes G, Niehues JM, Khader F, Tayebi Arasteh S, Haarburger C, Kuhl C, Wang T, et al. Journal article, Original article Denoising diffusion probabilistic models for 3D medical image generation (2023) Khader F, Müller-Franzes G, Tayebi Arasteh S, Han T, Haarburger C, Schulze-Hagen M, Schad P, et al. Journal article, Original article Collaborative training of medical artificial intelligence models with non-uniform labels (2023) Tayebi Arasteh S, Isfort P, Saehn M, Mueller-Franzes G, Khader F, Jakob Nikolas K, Christiane K, et al. Journal article, Original article Using machine learning to reduce the need for contrast agents in breast MRI through synthetic images (2023) Müller-Franzes G, Huck L, Tayebi Arasteh S, Khader F, Han T, Schulz V, Dethlefsen E, et al. Journal article, Original article