Dr. Soroosh Tayebi Arasteh

Professur für Artificial Intelligence in Biomedical Speech Processing (Stiftungsprofessur) 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 Accelerating breast MRI acquisition with generative AI models (2024) Okolie A, Dirrichs T, Huck L, Nebelung S, Tayebi Arasteh S, Nolte T, Han T, et al. Journal article, Original article Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging (2024) Tayebi Arasteh S, Ziller A, Kuhl C, Makowski MR, Nebelung S, Braren R, Rueckert D, 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