Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers
Khader, Firas, Müller-Franzes, Gustav, Wang, Tianci, Han, Tianyu, Tayebi Arasteh, Soroosh, Haarburger, Christoph, Stegmaier, Johannes, Bressem, Keno, Kuhl, Christiane, Nebelung, Sven, Kather, Jakob Nikolas, Truhn, Daniel
Published in Radiology (01.10.2023)
Published in Radiology (01.10.2023)
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Journal Article
Denoising diffusion probabilistic models for 3D medical image generation
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
Published in Scientific reports (05.05.2023)
Published in Scientific reports (05.05.2023)
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Journal Article
Collaborative training of medical artificial intelligence models with non-uniform labels
Tayebi Arasteh, Soroosh, Isfort, Peter, Saehn, Marwin, Mueller-Franzes, Gustav, Khader, Firas, Kather, Jakob Nikolas, Kuhl, Christiane, Nebelung, Sven, Truhn, Daniel
Published in Scientific reports (13.04.2023)
Published in Scientific reports (13.04.2023)
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Journal Article
Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging
Tayebi Arasteh, Soroosh, Ziller, Alexander, Kuhl, Christiane, Makowski, Marcus, Nebelung, Sven, Braren, Rickmer, Rueckert, Daniel, Truhn, Daniel, Kaissis, Georgios
Published in Communications medicine (14.03.2024)
Published in Communications medicine (14.03.2024)
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Journal Article
Automated segmentation of 3D cine cardiovascular magnetic resonance imaging
Tayebi Arasteh, Soroosh, Romanowicz, Jennifer, Pace, Danielle F, Golland, Polina, Powell, Andrew J, Maier, Andreas K, Truhn, Daniel, Brosch, Tom, Weese, Juergen, Lotfinia, Mahshad, van der Geest, Rob J, Moghari, Mehdi H
Published in Frontiers in cardiovascular medicine (13.10.2023)
Published in Frontiers in cardiovascular medicine (13.10.2023)
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Journal Article
Using Machine Learning to Reduce the Need for Contrast Agents in Breast MRI through Synthetic Images
Müller-Franzes, Gustav, Huck, Luisa, Tayebi Arasteh, Soroosh, Khader, Firas, Han, Tianyu, Schulz, Volkmar, Dethlefsen, Ebba, Kather, Jakob Nikolas, Nebelung, Sven, Nolte, Teresa, Kuhl, Christiane, Truhn, Daniel
Published in Radiology (01.05.2023)
Published in Radiology (01.05.2023)
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Journal Article
A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis
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
Published in Scientific reports (26.07.2023)
Published in Scientific reports (26.07.2023)
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Journal Article
The effect of speech pathology on automatic speaker verification: a large-scale study
Tayebi Arasteh, Soroosh, Weise, Tobias, Schuster, Maria, Noeth, Elmar, Maier, Andreas, Yang, Seung Hee
Published in Scientific reports (22.11.2023)
Published in Scientific reports (22.11.2023)
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Journal Article
Intraindividual Comparison of Different Methods for Automated BPE Assessment at Breast MRI: A Call for Standardization
Müller-Franzes, Gustav, Khader, Firas, Tayebi Arasteh, Soroosh, Huck, Luisa, Bode, Maike, Han, Tianyu, Lemainque, Teresa, Kather, Jakob Nikolas, Nebelung, Sven, Kuhl, Christiane, Truhn, Daniel
Published in Radiology (01.07.2024)
Published in Radiology (01.07.2024)
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Journal Article
Fibroglandular tissue segmentation in breast MRI using vision transformers: a multi-institutional evaluation
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
Published in Scientific reports (30.08.2023)
Published in Scientific reports (30.08.2023)
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Journal Article
Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data
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
Published in Scientific reports (01.07.2023)
Published in Scientific reports (01.07.2023)
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Journal Article
Encrypted federated learning for secure decentralized collaboration in cancer image analysis
Truhn, Daniel, Tayebi Arasteh, Soroosh, Saldanha, Oliver Lester, Müller-Franzes, Gustav, Khader, Firas, Quirke, Philip, West, Nicholas P, Gray, Richard, Hutchins, Gordon G A, James, Jacqueline A, Loughrey, Maurice B, Salto-Tellez, Manuel, Brenner, Hermann, Brobeil, Alexander, Yuan, Tanwei, Chang-Claude, Jenny, Hoffmeister, Michael, Foersch, Sebastian, Han, Tianyu, Keil, Sebastian, Schulze-Hagen, Maximilian, Isfort, Peter, Bruners, Philipp, Kaissis, Georgios, Kuhl, Christiane, Nebelung, Sven, Kather, Jakob Nikolas
Published in Medical image analysis (01.02.2024)
Published in Medical image analysis (01.02.2024)
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Journal Article
Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection
Khader, Firas, Muller-Franzes, Gustav, Arasteh, Soroosh Tayebi, Han, Tianyu, Kather, Jakob Nikolas, Stegmaier, Johannes, Nebelung, Sven, Truhn, Daniel
Published in 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) (18.04.2023)
Published in 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) (18.04.2023)
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Conference Proceeding
Securing Collaborative Medical AI by Using Differential Privacy: Domain Transfer for Classification of Chest Radiographs
Tayebi Arasteh, Soroosh, Lotfinia, Mahshad, Nolte, Teresa, Sähn, Marwin-Jonathan, Isfort, Peter, Kuhl, Christiane, Nebelung, Sven, Kaissis, Georgios, Truhn, Daniel
Published in Radiology. Artificial intelligence (01.01.2024)
Published in Radiology. Artificial intelligence (01.01.2024)
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Journal Article
Addressing challenges in speaker anonymization to maintain utility while ensuring privacy of pathological speech
Tayebi Arasteh, Soroosh, Arias-Vergara, Tomás, Pérez-Toro, Paula Andrea, Weise, Tobias, Packhäuser, Kai, Schuster, Maria, Noeth, Elmar, Maier, Andreas, Yang, Seung Hee
Published in Communications medicine (25.09.2024)
Published in Communications medicine (25.09.2024)
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Journal Article
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images
Soroosh Tayebi Arasteh, Misera, Leo, Kather, Jakob Nikolas, Truhn, Daniel, Nebelung, Sven
Published in arXiv.org (08.02.2024)
Published in arXiv.org (08.02.2024)
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Paper
Journal Article