Soroosh Tayebi Arasteh
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Large language models streamline automated machine learning for clinical studies
2024 · 96 Zit. · Nature Communications
Encrypted federated learning for secure decentralized collaboration in cancer image analysis
2023 · 78 Zit. · Medical Image Analysis
Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data
2023 · 45 Zit. · Scientific Reports
From large language models to multimodal AI: a scoping review on the potential of generative AI in medicine
2025 · 23 Zit. · Biomedical Engineering Letters
Securing Collaborative Medical AI by Using Differential Privacy: Domain Transfer for Classification of Chest Radiographs
2023 · 15 Zit. · Radiology Artificial Intelligence
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging
2023 · 12 Zit. · arXiv (Cornell University)
Encrypted federated learning for secure decentralized collaboration in cancer image analysis
2022 · 8 Zit. · medRxiv
The Treasure Trove Hidden in Plain Sight: The Utility of GPT-4 in Chest Radiograph Evaluation
2024 · 6 Zit. · Radiology
Multi-step retrieval and reasoning improves radiology question answering with large language models
2025 · 3 Zit. · npj Digital Medicine
From large language models to multimodal AI: A scoping review on the potential of generative AI in medicine
2025 · 1 Zit. · ArXiv.org
Differential privacy enables fair and accurate AI-based analysis of speech disorders while protecting patient data
2025 · 1 Zit. · npj Artificial Intelligence
Agentic retrieval-augmented reasoning reshapes collective reliability under model variability in radiology question answering
2026 · 0 Zit. · ArXiv.org
Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications
2026 · 0 Zit. · npj Digital Medicine
Case-Grounded Evidence Verification: A Framework for Constructing Evidence-Sensitive Supervision
2026 · 0 Zit. · arXiv (Cornell University)
Case-Grounded Evidence Verification: A Framework for Constructing Evidence-Sensitive Supervision
2026 · 0 Zit. · ArXiv.org