Gustav Müller-Franzes

发表

Artificial Intelligence for Clinical Interpretation of Bedside Chest Radiographs.

Jakob Nikolas Kather, J. Kather, P. Bruners, 2022, Radiology.

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

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, J. Niehues, 2022, Scientific reports.

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

P. Bruners, D. Truhn, J. Bednarsch, 2022, Journal of hepato-biliary-pancreatic sciences.

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

C. Kuhl, P. Bruners, D. Truhn, 2021, Diagnostics.

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

C. Kuhl, D. Merhof, D. Truhn, 2021, Scientific reports.

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

Dorit Merhof, Christiane Kuhl, Christoph Haarburger, 2020, Scientific Reports.

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

Jakob Nikolas Kather, S. Nebelung, D. Truhn, 2023, Radiology.

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

S. Nebelung, D. Truhn, Christoph Haarburger, 2022, Diagnostics.

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

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, J. Niehues, 2023, Scientific reports.

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

A. Prescher, S. Nebelung, D. Truhn, 2022, Diagnostics.

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

Jakob Nikolas Kather, S. Nebelung, D. Truhn, 2023, Scientific reports.

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

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Nebelung, 2023, 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).

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

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Nebelung, 2023, Scientific reports.

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

Jakob Nikolas Kather, S. Nebelung, D. Truhn, 2023, Radiology.

Weakly Supervised Deep Learning in Radiology.

Gustav Müller-Franzes, Leo Misera, J. N. Kather, 2024, Radiology.

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

M. Bode, Gustav Müller-Franzes, Teresa Lemainque, 2024, European radiology experimental.