Soroosh Tayebi Arasteh
Orcid: 0000-0003-1015-7733
According to our database1,
Soroosh Tayebi Arasteh
authored at least 22 papers
between 2020 and 2024.
Collaborative distances:
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Bibliography
2024
Encrypted federated learning for secure decentralized collaboration in cancer image analysis.
Medical Image Anal., February, 2024
Differential privacy for protecting patient data in speech disorder detection using deep learning.
CoRR, 2024
RadioRAG: Factual Large Language Models for Enhanced Diagnostics in Radiology Using Dynamic Retrieval Augmented Generation.
CoRR, 2024
2023
Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI Models.
CoRR, 2023
Empowering Clinicians and Democratizing Data Science: Large Language Models Automate Machine Learning for Clinical Studies.
CoRR, 2023
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images.
CoRR, 2023
Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy.
CoRR, 2023
Fibroglandular Tissue Segmentation in Breast MRI using Vision Transformers - A multi-institutional evaluation.
CoRR, 2023
Private, fair and accurate: Training large-scale, privacy-preserving AI models in radiology.
CoRR, 2023
Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Federated Learning for Secure Development of AI Models for Parkinson's Disease Detection Using Speech from Different Languages.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
2022
Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis.
CoRR, 2022
Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels.
CoRR, 2022
Medical Diffusion - Denoising Diffusion Probabilistic Models for 3D Medical Image Generation.
CoRR, 2022
2021
SN Comput. Sci., 2021
Machine Learning-Based Generalized Model for Finite Element Analysis of Roll Deflection During the Austenitic Stainless Steel 316L Strip Rolling.
CoRR, 2021
Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021
2020