Dr. Soroosh Tayebi Arasteh

Lehrstuhl für Informatik 5 (Mustererkennung)

Addressing challenges in speaker anonymization to maintain utility while ensuring privacy of pathological speech (2024) Tayebi Arasteh S, Arias-Vergara T, Perez Toro PA, Weise T, Packhäuser K, Schuster M, Nöth E, et al. Journal article The Treasure Trove Hidden in Plain Sight: The Utility of GPT-4 in Chest Radiograph Evaluation (2024) Tayebi Arasteh S, Siepmann R, Huppertz MS, Lotfinia M, Puladi B, Kuhl CK, Truhn D, Nebelung S 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 Securing Collaborative Medical AI by Using Differential Privacy: Domain Transfer for Classification of Chest Radiographs (2023) Tayebi Arasteh S, Lotfinia M, Nolte T, Saehn MJ, Isfort P, Kuhl C, Nebelung S, et al. 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