Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone Interaction. - Zdravko Marinov; Stanka Vasileva; Qing Wang; Constantin Seibold; Jiaming Zhang 001; Rainer Stiefelhagen (EUSIPCO, 2021)

ModSelect: Automatic Modality Selection for Synthetic-to-Real Domain Generalization. - Zdravko Marinov; Alina Roitberg; David Schneider 006; Rainer Stiefelhagen (ECCV Workshops (8), 2022)

Multimodal Generation of Novel Action Appearances for Synthetic-to-Real Recognition of Activities of Daily Living. - Zdravko Marinov; David Schneider 006; Alina Roitberg; Rainer Stiefelhagen (IROS, 2022)

A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding. - Alina Roitberg; Kunyu Peng; Zdravko Marinov; Constantin Seibold; David Schneider 006; Rainer Stiefelhagen (IV, 2022)

AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier. - Lars Heiliger; Zdravko Marinov; André Ferreira; Jana Fragemann; Jacob Murray; David Kersting; Rainer Stiefelhagen; Jens Kleesiek (CoRR, 2022)

Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging. - Zdravko Marinov; Simon Reiß; David Kersting; Jens Kleesiek; Rainer Stiefelhagen (ICCV (Workshops), 2023)

Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained Environments. - Calvin Tanama; Kunyu Peng; Zdravko Marinov; Rainer Stiefelhagen; Alina Roitberg (IROS, 2023)

Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images Based on Physiological and Anatomical Cues. - Verena Jasmin Hallitschke; Tobias Schlumberger; Philipp Kataliakos; Zdravko Marinov; Moon Kim 002; Lars Heiliger; Constantin Seibold; Jens Kleesiek; Rainer Stiefelhagen (ISBI, 2023)

Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images. - Zdravko Marinov; Rainer Stiefelhagen; Jens Kleesiek (MICCAI (3), 2023)

AutoPET Challenge 2023: Sliding Window-based Optimization of U-Net. - Matthias Hadlich; Zdravko Marinov; Rainer Stiefelhagen (CoRR, 2023)

Filters, Thresholds, and Geodesic Distances for Scribble-Based Interactive Segmentation of Medical Images. - Zdravko Marinov; Alexander Jaus; Jens Kleesiek; Rainer Stiefelhagen (MedSAM@CVPR, 2024)

Taking a Step Back: Revisiting Classical Approaches for Efficient Interactive Segmentation of Medical Images. - Zdravko Marinov; Alexander Jaus; Jens Kleesiek; Rainer Stiefelhagen (MedSAM@CVPR, 2024)

Sliding Window Fastedit: A Framework for Lesion Annotation in Whole-Body Pet Images. - Matthias Hadlich; Zdravko Marinov; Moon Kim 002; Enrico Nasca; Jens Kleesiek; Rainer Stiefelhagen (ISBI, 2024)

Rethinking Annotator Simulation: Realistic Evaluation of Whole-Body PET Lesion Interactive Segmentation Methods. - Zdravko Marinov; Moon S. Kim 002; Jens Kleesiek; Rainer Stiefelhagen (CoRR, 2024)

Efficient MedSAMs: Segment Anything in Medical Images on Laptop. - Jun Ma 016; Feifei Li 010; Sumin Kim; Reza Asakereh; Bao-Hiep Le; Dang-Khoa Nguyen-Vu; Alexander Pfefferle; Muxin Wei; Ruochen Gao; Donghang Lyu; Songxiao Yang; Lennart Purucker; et al. (CoRR, 2024)

Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging. - Sergios Gatidis; Marcel Früh; Matthias Fabritius; Sijing Gu; Konstantin Nikolaou; Christian La Fougère; Jin Ye 002; Junjun He; Yige Peng; Lei Bi 001; Jun Ma 016; Bo Wang 044; et al. (Nat. Mac. Intell., 2024)

Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy. - Zdravko Marinov; Paul F. Jäger; Jan Egger; Jens Kleesiek; Rainer Stiefelhagen (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks. - Alexander Jaus; Constantin Marc Seibold; Simon Reiß; Zdravko Marinov; Keyi Li; Zeling Ye; Stefan Krieg; Jens Kleesiek; Rainer Stiefelhagen (AAAI, 2025)

LIMIS: Towards Language-Based Interactive Medical Image Segmentation. - Lena Heinemann; Alexander Jaus; Zdravko Marinov; Moon S. Kim 002; Maria Francesca Spadea; Jens Kleesiek; Rainer Stiefelhagen (ISBI, 2025)

OmniFall: A Unified Staged-to-Wild Benchmark for Human Fall Detection. - David Schneider 006; Zdravko Marinov; Rafael Baur; Zeyun Zhong; Rodi Düger; Rainer Stiefelhagen (CoRR, 2025)

Good Enough: Is it Worth Improving your Label Quality? - Alexander Jaus; Zdravko Marinov; Constantin Seibold; Simon Reiß; Jens Kleesiek; Rainer Stiefelhagen (CoRR, 2025)

Is Visual in-Context Learning for Compositional Medical Tasks within Reach? - Simon Reiß; Zdravko Marinov; Alexander Jaus; Constantin Seibold; M. Saquib Sarfraz; Erik Rodner; Rainer Stiefelhagen (CoRR, 2025)