| 3D (c) GAN for whole body MR synthesis D Mensing, J Hirsch, M Wenzel, M Günther MICCAI Workshop on Deep Generative Models, 97-105, 2022 | 4 | 2022 |
| Towards TotalSegmentator for MRI data leveraging GIN data augmentation K Geißler, D Mensing, M Wenzel, JG Hirsch, S Heldmann Medical Imaging 2024: Image Processing 12926, 13-22, 2024 | 2 | 2024 |
| LSTM-U-net for the robust segmentation of veins in ultrasound sequences D Mensing, J Gregori, J Jenne, M Stritt, B Gerold, M Günther Medical Imaging 2022: Image-Guided Procedures, Robotic Interventions, and …, 2022 | | 2022 |
| Multiple Sclerosis Lesion Segmentation Using Longitudinal Normalization and Convolutional Recurrent Neural Networks S Tascon-Morales, S Hoffmann, M Treiber, D Mensing, A Oliver, ... Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro …, 2020 | | 2020 |
| A 3D-FiLM-cGAN Architecture for the Synthesis of Cerebral Blood Flow Maps M Stritt, M Günther, J Gregori, D Mensing, HJ Mutsaerts, K Eickel | | |
| Towards Automated Quality Assessment with Deep Learning: Classification, Quantification and Correction of MRI Artefacts D Mensing | | |
| Configuring, Viewing, Exploring and Exporting Reproducible, Vendor-Independent MRI Pulse Sequences C Cordes, S Konstandin, D Mensing, S Archipovas, RN Wilke, M Günther | | |
