Diagnostische und Interventionelle Radiologie
Department für Radiologie

Deep learning-based MR Guided Breast Biopsy

Investigation of biological age in large-scale population studies

Landmark Detection in Interventional Magnetic Resonance Imaging During Breast Cancer Biopsy

Contrast-Invariant Motion Correction Network for multi-parametric MRI

The aging heart: Associations between cardiac structure, function, and demographic factors in a population-based study

Analysis for sustainable MR imaging operation

Multimodal contrastive learning for biological age regression

Unsupervised Keypoint-Based Registration for Parametric MR

Medical Dashboard for epidemiological studies

Medical Data Analysis and Visualization in the UK Biobank and NAKO

Image quality assessment

Machine learning-based analysis on the energy efficiency of magnetic resonance imaging

Motion artifact detection in MRI

Distribution analysis of organ and tissue segmentation in large scale epidemiological cohorts

Optimization of Mutual Information Minimization Model in Deep Learning for Multi-Confounder Datasets

Real-Time Landmark Detection in Interventional Magnetic Resonance Imaging During Breast Cancer Biopsy

Semantic Segmentation in multi-center studies: Investigation on generalizability

Combining images and tabular data to enhance downstream task performance in medical image analysis

Local Image Quality Assessment in abdominal MRI

Unveiling the Black Box: Integrating Interpretability into Neural Networks for Explaining Diabetes Severity

Comparison of radial and spiral VIBE for pediatric imaging

Prompt-tuning for Segmentation of Human Skeletal Muscle

Enhancing MR Downstream Task Performance by incorporating tabular data using a CLIP-based approach

Segmentation of Medical Images using Connectivity Masks as Input Data

Generative models for semantic map to MR image translation

Joint groupwise non-rigid registration and segmentation for accelerated cardiac cine MR Images

Extending the Mutual Information Minimization Model with multiple confounders and classes

Deep learning based image quality assessment

Enhancing Classification Performance in Imbalanced Datasets: A CLIP-Based Approach with Metadata and MR Images

Does B-Cos Models improve the interpretability of deep-learning based medical image analysis?

Software algorithms for Endoscopic imaging

Automatic segmentation for multiparametric magnetic resonance images

Hyperparameter optimization for MR image reconstruction architectures based on uncertainty estimation

Deep learning based locally low-rank approximation

Attention-based motion detection in epidemiological cohorts

Accelerating cardiac MR by exploiting spatio-temporal information

Self-supervised image registration for renal MRI

Robust MRI motion detection in varying environments

Uncertainty quantification for deep learning MR image reconstruction

3D Generative models for MR image super resolution

DL-based motion-corrected reconstruction: an evaluation study

Cardiac MR image reconstruction levearaging spatio-temporal redundancies

Motion-compensated image reconstruction using generative networks

MR motion artefact detection and correction in image and k-space

Temporal-aware super resolution for cardiac CINE MR

Efficient long-term and short-term MR image registration

Spatiotemporal Through-plane Super-resolution Networks for Isotropic Cardiac Cine MRI Investigated in the UK Biobank

Clinical feasible pipeline for semantic MR segmentation

Clinical feasible pipeline for motion artifact detection and correction

LAP-Net: Deep learning-based non-rigid registration in k-space for MR imaging

Prediction of response to immunotherapy and overall survival rate in temporal staging of melanoma patients with multi-modal hybrid imaging

Automatic lesion segmentation and staging in a cohort of melanoma patients acquired with multi-modal hybrid imaging

Intelligent brushes for automatic segmentation and detection in multi-modality imaging

DL-based motion-corrected reconstruction of time-resolved MRI

Semantic Segmentation for renal MRI

Evaluation and optimization of non-rigid registration in k-space

Exploiting spatio-temporal redundancies for high-dimensional deep-learning based image reconstruction

Plug-and-play priors for MR motion artifact detection and correction

Investigation on the efficacy of plug and play priors and unrolled physics-based deep-learning MR image reconstruction