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32 results for Tayebi+Arasteh,+Soroosh

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ArticlesPeer ReviewedFull Text
Denoising diffusion probabilistic models for 3D medical image generation
Author / Creator:Khader, Firas ; Müller-Franzes, Gustav ; Tayebi Arasteh, Soroosh ; Han, Tianyu ; Haarburger, Christoph ; Schulze-Hagen, Maximilian ; Schad, Philipp ; Engelhardt, Sandy ; Baeßler, Bettina ; Foersch, Sebastian ; Stegmaier, Johannes ; Kuhl, Christiane ; Nebelung, Sven ; Kather, Jakob Nikolas ; Truhn, Daniel
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2023-05, Vol.13 (1), p.7303-12, Article 7303
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ArticlesPeer ReviewedFull Text
Large language models streamline automated machine learning for clinical studies
Author / Creator:Tayebi Arasteh, Soroosh ; Han, Tianyu ; Lotfinia, Mahshad ; Kuhl, Christiane ; Kather, Jakob Nikolas ; Truhn, Daniel ; Nebelung, Sven
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2024-02, Vol.15 (1), p.1603-1603, Article 1603
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ArticlesPeer ReviewedFull Text
Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning
Author / Creator:Tayebi Arasteh, Soroosh ; Kuhl, Christiane ; Saehn, Marwin-Jonathan ; Isfort, Peter ; Truhn, Daniel ; Nebelung, Sven
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2023-12, Vol.13 (1), p.22576-12, Article 22576
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Collaborative training of medical artificial intelligence models with non-uniform labels
Author / Creator:Tayebi Arasteh, Soroosh ; Isfort, Peter ; Saehn, Marwin ; Mueller-Franzes, Gustav ; Khader, Firas ; Kather, Jakob Nikolas ; Kuhl, Christiane ; Nebelung, Sven ; Truhn, Daniel
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2023-04, Vol.13 (1), p.6046-9, Article 6046
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Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical images
Author / Creator:Tayebi Arasteh, Soroosh ; Misera, Leo ; Kather, Jakob Nikolas ; Truhn, Daniel ; Nebelung, Sven
Publisher:Vienna: Springer Vienna
Journal title:European radiology experimental, 2024-02, Vol.8 (1), p.10-10, Article 10
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Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging
Author / Creator:Tayebi Arasteh, Soroosh ; Ziller, Alexander ; Kuhl, Christiane ; Makowski, Marcus ; Nebelung, Sven ; Braren, Rickmer ; Rueckert, Daniel ; Truhn, Daniel ; Kaissis, Georgios
Publisher:London: Nature Publishing Group UK
Journal title:Communications medicine, 2024-03, Vol.4 (1), p.46-12, Article 46
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A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis
Author / Creator:Müller-Franzes, Gustav ; Niehues, Jan Moritz ; Khader, Firas ; Arasteh, Soroosh Tayebi ; Haarburger, Christoph ; Kuhl, Christiane ; Wang, Tianci ; Han, Tianyu ; Nolte, Teresa ; Nebelung, Sven ; Kather, Jakob Nikolas ; Truhn, Daniel
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2023-07, Vol.13 (1), p.12098-12098, Article 12098
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The effect of speech pathology on automatic speaker verification: a large-scale study
Author / Creator:Tayebi Arasteh, Soroosh ; Weise, Tobias ; Schuster, Maria ; Noeth, Elmar ; Maier, Andreas ; Yang, Seung Hee
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2023-11, Vol.13 (1), p.20476-20476, Article 20476
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Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data
Author / Creator:Khader, Firas ; Kather, Jakob Nikolas ; Müller-Franzes, Gustav ; Wang, Tianci ; Han, Tianyu ; Tayebi Arasteh, Soroosh ; Hamesch, Karim ; Bressem, Keno ; Haarburger, Christoph ; Stegmaier, Johannes ; Kuhl, Christiane ; Nebelung, Sven ; Truhn, Daniel
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2023-07, Vol.13 (1), p.10666-10666, Article 10666
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Fibroglandular tissue segmentation in breast MRI using vision transformers: a multi-institutional evaluation
Author / Creator:Müller-Franzes, Gustav ; Müller-Franzes, Fritz ; Huck, Luisa ; Raaff, Vanessa ; Kemmer, Eva ; Khader, Firas ; Arasteh, Soroosh Tayebi ; Lemainque, Teresa ; Kather, Jakob Nikolas ; Nebelung, Sven ; Kuhl, Christiane ; Truhn, Daniel
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2023-08, Vol.13 (1), p.14207-14207, Article 14207
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Addressing challenges in speaker anonymization to maintain utility while ensuring privacy of pathological speech
Author / Creator:Tayebi Arasteh, Soroosh ; Arias-Vergara, Tomás ; Pérez-Toro, Paula Andrea ; Weise, Tobias ; Packhäuser, Kai ; Schuster, Maria ; Noeth, Elmar ; Maier, Andreas ; Yang, Seung Hee
Publisher:London: Nature Publishing Group UK
Journal title:Communications medicine, 2024-09, Vol.4 (1), p.182-16, Article 182
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ArticlesFull Text
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images
Author / Creator:Soroosh Tayebi Arasteh ; Misera, Leo ; Kather, Jakob Nikolas ; Truhn, Daniel ; Nebelung, Sven
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2024-02
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ArticlesFull Text
Conversion Between Cubic Bezier Curves and Catmull-Rom Splines
Author / Creator:Soroosh Tayebi Arasteh ; Kalisz, Adam
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2021-07
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ArticlesFull Text
Large Language Models Streamline Automated Machine Learning for Clinical Studies
Author / Creator:Soroosh Tayebi Arasteh ; Han, Tianyu ; Lotfinia, Mahshad ; Kuhl, Christiane ; Kather, Jakob Nikolas ; Truhn, Daniel ; Nebelung, Sven
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2024-02
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ArticlesFull Text
Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI Models
Author / Creator:Soroosh Tayebi Arasteh ; Kuhl, Christiane ; Marwin-Jonathan Saehn ; Isfort, Peter ; Truhn, Daniel ; Nebelung, Sven
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2023-12
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ArticlesFull Text
The effect of speech pathology on automatic speaker verification -- a large-scale study
Author / Creator:Soroosh Tayebi Arasteh ; Weise, Tobias ; Schuster, Maria ; Noeth, Elmar ; Maier, Andreas ; Yang, Seung Hee
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2023-11
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ArticlesFull Text
The Impact of Speech Anonymization on Pathology and Its Limits
Author / Creator:Soroosh Tayebi Arasteh ; Arias-Vergara, Tomas ; Perez-Toro, Paula Andrea ; Weise, Tobias ; Packhaeuser, Kai ; Schuster, Maria ; Noeth, Elmar ; Maier, Andreas ; Yang, Seung Hee
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2024-09
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ArticlesFull Text
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging
Author / Creator:Soroosh Tayebi Arasteh ; Ziller, Alexander ; Kuhl, Christiane ; Makowski, Marcus ; Nebelung, Sven ; Braren, Rickmer ; Rueckert, Daniel ; Truhn, Daniel ; Kaissis, Georgios
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2024-03
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Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy
Author / Creator:Soroosh Tayebi Arasteh ; Lotfinia, Mahshad ; Nolte, Teresa ; Saehn, Marwin ; Isfort, Peter ; Kuhl, Christiane ; Nebelung, Sven ; Kaissis, Georgios ; Truhn, Daniel
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2023-12
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Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages
Author / Creator:Soroosh Tayebi Arasteh ; Rios-Urrego, Cristian David ; Noeth, Elmar ; Maier, Andreas ; Yang, Seung Hee ; Rusz, Jan ; Orozco-Arroyave, Juan Rafael
Publisher:Ithaca: Cornell University Library, arXiv.org
Journal title:arXiv.org, 2023-08
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Showing 1 to 20 of 32 results

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Denoising diffusion probabilistic models for 3D medical image generation

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Large language models streamline automated machine learning for clinical studies

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Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning

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Collaborative training of medical artificial intelligence models with non-uniform labels

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Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical images

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Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging

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A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis

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The effect of speech pathology on automatic speaker verification: a large-scale study

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Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data

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Fibroglandular tissue segmentation in breast MRI using vision transformers: a multi-institutional evaluation

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Addressing challenges in speaker anonymization to maintain utility while ensuring privacy of pathological speech

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Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images

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Conversion Between Cubic Bezier Curves and Catmull-Rom Splines

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Large Language Models Streamline Automated Machine Learning for Clinical Studies

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Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI Models

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The effect of speech pathology on automatic speaker verification -- a large-scale study

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The Impact of Speech Anonymization on Pathology and Its Limits

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Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging

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Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy

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Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages

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