Search Results - "Muller-Franzes, Gustav" :: K.UTB vyhledávací portál | TBU Library Retrieval Portal

Novel machine learning algorithm can identify patients at risk of poor overall survival following curative resection for colorectal liver metastases

Novel machine learning algorithm can identify patients at risk of poor overall survival following curative resection for colorectal liver metastases

by Amygdalos, Iakovos, Müller‐Franzes, Gustav, Bednarsch, Jan, Czigany, Zoltan, Ulmer, Tom Florian, Bruners, Philipp, Kuhl, Christiane, Neumann, Ulf Peter, Truhn, Daniel, Lang, Sven Arke
Published in Journal of hepato-biliary-pancreatic sciences (01.05.2023)

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Journal Article

Extracting structured information from unstructured histopathology reports using generative pre‐trained transformer 4 (GPT‐4)

Extracting structured information from unstructured histopathology reports using generative pre‐trained transformer 4 (GPT‐4)

by Truhn, Daniel, Loeffler, Chiara ML, Müller‐Franzes, Gustav, Nebelung, Sven, Hewitt, Katherine J, Brandner, Sebastian, Bressem, Keno K, Foersch, Sebastian, Kather, Jakob Nikolas
Published in The Journal of pathology (01.03.2024)

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Journal Article

Author Correction: Radiomics feature reproducibility under inter-rater variability in segmentations of CT images

Author Correction: Radiomics feature reproducibility under inter-rater variability in segmentations of CT images

by Haarburger, Christoph, Müller‑Franzes, Gustav, Weninger, Leon, Kuhl, Christiane, Truhn, Daniel, Merhof, Dorit
Published in Scientific reports (16.11.2021)

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Journal Article

Radiomics feature reproducibility under inter-rater variability in segmentations of CT images

Radiomics feature reproducibility under inter-rater variability in segmentations of CT images

by Haarburger, Christoph, Müller-Franzes, Gustav, Weninger, Leon, Kuhl, Christiane, Truhn, Daniel, Merhof, Dorit
Published in Scientific reports (29.07.2020)

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Journal Article

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

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

by 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)

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Journal Article

Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers

Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers

by 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)

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Journal Article

Denoising diffusion probabilistic models for 3D medical image generation

Denoising diffusion probabilistic models for 3D medical image generation

by 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)

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Journal Article

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

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

by 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)

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Journal Article

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

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

by 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)

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Journal Article

Diffusion probabilistic versus generative adversarial models to reduce contrast agent dose in breast MRI

Diffusion probabilistic versus generative adversarial models to reduce contrast agent dose in breast MRI

by Müller-Franzes, Gustav, Huck, Luisa, Bode, Maike, Nebelung, Sven, Kuhl, Christiane, Truhn, Daniel, Lemainque, Teresa
Published in European radiology experimental (01.05.2024)

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Journal Article

Evaluation of Pulmonary Nodules by Radiologists vs. Radiomics in Stand-Alone and Complementary CT and MRI

Evaluation of Pulmonary Nodules by Radiologists vs. Radiomics in Stand-Alone and Complementary CT and MRI

by Tietz, Eric, Müller-Franzes, Gustav, Zimmermann, Markus, Kuhl, Christiane Katharina, Keil, Sebastian, Nebelung, Sven, Truhn, Daniel
Published in Diagnostics (Basel) (23.02.2024)

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Journal Article

Fast, Accurate, and Robust T2 Mapping of Articular Cartilage by Neural Networks

Fast, Accurate, and Robust T2 Mapping of Articular Cartilage by Neural Networks

by Müller-Franzes, Gustav, Nolte, Teresa, Ciba, Malin, Schock, Justus, Khader, Firas, Prescher, Andreas, Wilms, Lena Marie, Kuhl, Christiane, Nebelung, Sven, Truhn, Daniel
Published in Diagnostics (Basel) (11.03.2022)

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Journal Article

Reliability as a Precondition for Trust-Segmentation Reliability Analysis of Radiomic Features Improves Survival Prediction

Reliability as a Precondition for Trust-Segmentation Reliability Analysis of Radiomic Features Improves Survival Prediction

by Müller-Franzes, Gustav, Nebelung, Sven, Schock, Justus, Haarburger, Christoph, Khader, Firas, Pedersoli, Federico, Schulze-Hagen, Maximilian, Kuhl, Christiane, Truhn, Daniel
Published in Diagnostics (Basel) (19.01.2022)

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Journal Article

A Radiomics Approach to Predict the Emergence of New Hepatocellular Carcinoma in Computed Tomography for High-Risk Patients with Liver Cirrhosis

A Radiomics Approach to Predict the Emergence of New Hepatocellular Carcinoma in Computed Tomography for High-Risk Patients with Liver Cirrhosis

by Tietz, Eric, Truhn, Daniel, Müller-Franzes, Gustav, Berres, Marie-Luise, Hamesch, Karim, Lang, Sven Arke, Kuhl, Christiane Katharina, Bruners, Philipp, Schulze-Hagen, Maximilian
Published in Diagnostics (Basel) (09.09.2021)

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Journal Article

Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection

Vector-Quantized Latent Flows for Medical Image Synthesis and Out-Of-Distribution Detection

by 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)

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Conference Proceeding

Weakly Supervised Deep Learning in Radiology

Weakly Supervised Deep Learning in Radiology

by Misera, Leo, Müller-Franzes, Gustav, Truhn, Daniel, Kather, Jakob Nikolas
Published in Radiology (01.07.2024)

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Journal Article

The ecological footprint of medical AI

The ecological footprint of medical AI

by Truhn, Daniel, Müller-Franzes, Gustav, Kather, Jakob Nikolas
Published in European radiology (01.02.2024)

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Journal Article

THU-206 Deep learning-based predictive modeling of patatin-like phospholipase domain-containing protein 3 variant carriers using magnetic resonance imaging data

THU-206 Deep learning-based predictive modeling of patatin-like phospholipase domain-containing protein 3 variant carriers using magnetic resonance imaging data

by Chen, Yazhou, Laevens, Benjamin P.M., Dlugosch, Carola, Clusmann, Jan, Lemainque, Teresa, Müller-Franzes, Gustav Anton, Truhn, Daniel, Schneider, Carolin V.
Published in Journal of hepatology (01.06.2024)

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Journal Article

Using Machine Learning to Reduce the Need for Contrast Agents in Breast MRI through Synthetic Images

Using Machine Learning to Reduce the Need for Contrast Agents in Breast MRI through Synthetic Images

by 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)

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Journal Article

Intraindividual Comparison of Different Methods for Automated BPE Assessment at Breast MRI: A Call for Standardization

Intraindividual Comparison of Different Methods for Automated BPE Assessment at Breast MRI: A Call for Standardization

by 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)

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Journal Article