| 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, ... | 57 | 2023 |
| MedShapeNet – a large-scale dataset of 3D medical shapes for computer vision J Li, Z Zhou, J Yang, A Pepe, C Gsaxner, G Luijten, C Qu, T Zhang, ... Biomedical Engineering/Biomedizinische Technik, 2024 | 27 | 2024 |
| Mirror u-net: Marrying multimodal fission with multi-task learning for semantic segmentation in medical imaging Z Marinov, S Reiß, D Kersting, J Kleesiek, R Stiefelhagen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 16 | 2023 |
| A comparative analysis of decision-level fusion for multimodal driver behaviour understanding A Roitberg, K Peng, Z Marinov, C Seibold, D Schneider, R Stiefelhagen 2022 IEEE intelligent vehicles symposium (IV), 1438-1444, 2022 | 16 | 2022 |
| Deep interactive segmentation of medical images: A systematic review and taxonomy Z Marinov, PF Jäger, J Egger, J Kleesiek, R Stiefelhagen IEEE transactions on pattern analysis and machine intelligence, 2024 | 13 | 2024 |
| 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 | 12 | 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 | 11 | 2022 |
| Guiding the guidance: A comparative analysis of user guidance signals for interactive segmentation of volumetric images Z Marinov, R Stiefelhagen, J Kleesiek International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 7 | 2023 |
| The autoPET challenge: towards fully automated lesion segmentation in oncologic PET S Gatidis, M Früh, M Fabritius, S Gu, K Nikolaou, C La Fougere, J Ye, J He, ... CT imaging, 2023 | 7 | 2023 |
| Pose2drone: A skeleton-pose-based framework for human-drone interaction Z Marinov, S Vasileva, Q Wang, C Seibold, J Zhang, R Stiefelhagen 2021 29th European Signal Processing Conference (EUSIPCO), 776-780, 2021 | 7 | 2021 |
| Modselect: Automatic modality selection for synthetic-to-real domain generalization Z Marinov, A Roitberg, D Schneider, R Stiefelhagen European Conference on Computer Vision, 326-346, 2022 | 5 | 2022 |
| Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging S Gatidis, M Früh, MP Fabritius, S Gu, K Nikolaou, CL Fougère, J Ye, J He, ... Nature Machine Intelligence, 1-10, 2024 | 3 | 2024 |
| Sliding window fastedit: A framework for lesion annotation in whole-body pet images M Hadlich, Z Marinov, M Kim, E Nasca, J Kleesiek, R Stiefelhagen 2024 IEEE International Symposium on Biomedical Imaging (ISBI), 1-5, 2024 | 3 | 2024 |
| Filters, Thresholds, and Geodesic Distances for Scribble-based Interactive Segmentation of Medical Images Z Marinov, A Jaus, J Kleesiek, R Stiefelhagen CVPR 2024: Segment Anything In Medical Images On Laptop, 2024 | 2 | 2024 |
| Multimodal generation of novel action appearances for synthetic-to-real recognition of activities of daily living Z Marinov, D Schneider, A Roitberg, R Stiefelhagen 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 2 | 2022 |
| Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained Environments C Tanama, K Peng, Z Marinov, R Stiefelhagen, A Roitberg 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 1 | 2023 |
| AutoPET Challenge 2023: Sliding Window-based Optimization of U-Net M Hadlich, Z Marinov, R Stiefelhagen arXiv preprint arXiv:2309.12114, 2023 | 1 | 2023 |
| cv: hci-Publications C Haas-Hecker Corinna Haas-Hecker, 2025 | | 2025 |
| cv: hci-Teaching C Haas-Hecker Corinna Haas-Hecker, 2025 | | 2025 |
| Efficient MedSAMs: Segment Anything in Medical Images on Laptop J Ma, F Li, S Kim, R Asakereh, BH Le, DK Nguyen-Vu, A Pfefferle, M Wei, ... arXiv preprint arXiv:2412.16085, 2024 | | 2024 |
