| The autopet challenge: towards fully automated lesion segmentation in oncologic pet/ct imaging S Gatidis, M Früh, M Fabritius, S Gu, K Nikolaou, C La Fougère, J Ye, J He, ... | 33 | 2023 |
| Beyond Medical Imaging--A Review of Multimodal Deep Learning in Radiology L Heiliger, A Sekuboyina, B Menze, J Egger, J Kleesiek TechRxiv, 2022 | 15 | 2022 |
| Multimodal interactive lung lesion segmentation: A framework for annotating pet/ct images based on physiological and anatomical cues VJ Hallitschke, T Schlumberger, P Kataliakos, Z Marinov, M Kim, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 10 | 2023 |
| Autopet challenge: Combining nn-unet with swin unetr augmented by maximum intensity projection classifier L Heiliger, Z Marinov, M Hasin, A Ferreira, J Fragemann, K Pomykala, ... arXiv preprint arXiv:2209.01112, 2022 | 6 | 2022 |
| On the Impact of Cross-Domain Data on German Language Models A Dada, A Chen, C Peng, KE Smith, A Idrissi-Yaghir, CM Seibold, J Li, ... arXiv preprint arXiv:2310.07321, 2023 | 1 | 2023 |
| Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues V Jasmin Hallitschke, T Schlumberger, P Kataliakos, Z Marinov, M Kim, ... arXiv e-prints, arXiv: 2301.09914, 2023 | | 2023 |
Jan EggerInstitute for AI in Medicine (IKIM), University Hospital Essen (AöR), University of Duisburg-EssenVerified email at uk-essen.de
