C. Kuhl

发表

Medical Diffusion - Denoising Diffusion Probabilistic Models for 3D Medical Image Generation

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, J. Kather, 2022, ArXiv.

Artificial Intelligence for Clinical Interpretation of Bedside Chest Radiographs.

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

Image prediction of disease progression for osteoarthritis by style-based manifold extrapolation

Jakob Nikolas Kather, J. Kather, V. Schulz, 2022, Nature Machine Intelligence.

Factors impacting survival after transarterial radioembolization in patients with hepatocellular carcinoma: Results from the prospective CIRT study

F. Orsi, M. Ronot, J. Kröger, 2022, JHEP reports : innovation in hepatology.

Varus stress MRI in the refined assessment of the posterolateral corner of the knee joint

A. Prescher, S. Nebelung, D. Truhn, 2022, Scientific Reports.

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.

Calcification of the visceral aorta and celiac trunk is associated with renal and allograft outcomes after deceased donor liver transplantation

P. Bruners, J. Bednarsch, U. Neumann, 2022, Abdominal Radiology.

Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Nebelung, 2022, ArXiv.

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

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Nebelung, 2022, Scientific reports.

Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image Generation

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Engelhardt, 2022, 2211.03364.

Image prediction of disease progression by style-based manifold extrapolation

Jakob Nikolas Kather, V. Schulz, F. Kiessling, 2021, 2111.11439.

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

Soroosh Tayebi Arasteh, Alexander Ziller, R. Braren, 2023, ArXiv.

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

Soroosh Tayebi Arasteh, Alexander Ziller, R. Braren, 2023, 2302.01622.

Detection of Early-Stage Degeneration in Human Articular Cartilage by Multiparametric MR Imaging Mapping of Tissue Functionality

Christiane Kuhl, Markus Tingart, Johannes Thüring, 2019, Scientific Reports.

Medical Diagnosis with Large Scale Multimodal Transformers: Leveraging Diverse Data for More Accurate Diagnosis

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Nebelung, 2022, ArXiv.

Elevating Fundoscopic Evaluation to Expert Level - Automatic Glaucoma Detection Using Data from the Airogs Challenge

Jakob Nikolas Kather, S. Nebelung, D. Truhn, 2022, 2022 IEEE International Symposium on Biomedical Imaging Challenges (ISBIC).

Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers

Jakob Nikolas Kather, S. Nebelung, D. Truhn, 2023, MLMI@MICCAI.

Predicting Osteoarthritis Progression in Radiographs via Unsupervised Representation Learning pdf

Volkmar Schulz, Fabian Kiessling, Christoph Haarburger, 2021, ArXiv.

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.

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.

An MRI Deep Learning Model Predicts Outcome in Rectal Cancer.

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

Denoising diffusion probabilistic models for 3D medical image generation

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

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.

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

Soroosh Tayebi Arasteh, S. Nebelung, D. Truhn, 2023, ArXiv.

Empowering Clinicians and Democratizing Data Science: Large Language Models Automate Machine Learning for Clinical Studies

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Nebelung, 2023, ArXiv.

Getting Cartilage Thickness Measurements Right: A Systematic Inter-Method Comparison Using MRI Data from the Osteoarthritis Initiative

S. Nebelung, D. Truhn, T. Nolte, 2023, Cartilage.

Transformers for CT Reconstruction From Monoplanar and Biplanar Radiographs

S. Nebelung, D. Truhn, J. Stegmaier, 2023, ArXiv.

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

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

Medical Foundation Models are Susceptible to Targeted Misinformation Attacks

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

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

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

Large language models streamline automated machine learning for clinical studies

Jakob Nikolas Kather, Soroosh Tayebi Arasteh, S. Nebelung, 2023, Nature communications.

A pilot study on the efficacy of GPT-4 in providing orthopedic treatment recommendations from MRI reports

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

[Current MR imaging of cartilage in the context of knee osteoarthritis (part 1) : Principles and sequences].

S. Nebelung, D. Truhn, C. Kuhl, 2023, Radiologie.

Time-efficient combined morphologic and quantitative joint MRI based on clinical image contrasts -- An exploratory in-situ study of standardized cartilage defects

S. Nebelung, D. Truhn, Manuel Post, 2023, 2311.08036.

Two for One -- Combined Morphologic and Quantitative Knee Joint MRI Using a Versatile Turbo Spin-Echo Platform

S. Nebelung, D. Truhn, Manuel Post, 2023, 2310.20362.