Zdravko Marinov

According to our database, Zdravko Marinov authored at least 29 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

TriALS: Triphasic-Aided Liver Lesion Segmentation Benchmark in Non-Contrast CT.

Marawan Elbatel, Mohamed Ghonim, Jiaji Mao, Zhuosheng Lin, Katharina Eckstein, Andrés Martínez Mora, Jonathan Deissler, Maximilian Rokuss, Constantin Ulrich, Zdravko Marinov, Wenhui Deng, Baoxun Li, Huijun Hu, Jun Shen, Mohanad Ghonim, Khadiga Omar Nassar, Hazem M. El-Bakry, Menna Dyab, Amr Muhammad Abdo-Salem, Nouran Elghitany, Noha Elghitany, Yi Qin, Xuanqi Huang, Haonan Wang, Shao-Woo Yen, Ahmed Elghamry Saba, Salma Ahmad, Xinyan Fang, Jiahao Zhang, Xiaodi Wang, Xinghua Ma, Gongning Luo, Jessica C. Delmoral, João Manuel R. S. Tavares, Ankan Deria, Adinath Dukre, Yutong Xie, Imran Razzak, Dongwook Kim, Matthew Choi, Hanxiao Zhang, Minghui Zhang, Xin You, Abdul Qayyum, Steven A. Niederer, Moona Mazher, Rachika E. Hamadache, Ricardo Montoya-del-Angel, Robert Martí, Xavier Lladó, Toufiq Musah, Livingstone Eli Ayivor, Enrique Almar-Munoz, Agnes Mayr, Kaouther Mouheb, Esther E. Bron, Stefan Klein, Ahmed Abouelhoda, Amira Adel, Susan Adil Ali, Rainer Stiefelhagen, Klaus H. Maier-Hein, Fabian Isensee, Aya Yassin, Xiaomeng Li

CoRR, May, 2026

IMPACT-Scribe: Interactive Temporal Action Segmentation with Boundary Scribbles and Query Planning.

Qian Yin, Di Wen, Kunyu Peng, David Schneider, Zeyun Zhong, Alexander Jaus, Zdravko Marinov, Jiale Wei, Ruiping Liu, Junwei Zheng, Yufan Chen, Chen Zhang, Lei Qi, Rainer Stiefelhagen

CoRR, May, 2026

IMPACT-HOI: Supervisory Control for Onset-Anchored Partial HOI Event Construction.

Haoshen Zhang, Di Wen, Kunyu Peng, David Schneider, Zeyun Zhong, Alexander Jaus, Zdravko Marinov, Jiale Wei, Ruiping Liu, Junwei Zheng, Yufan Chen, Yufeng Zhang, Yuanhao Luo, Lei Qi, Rainer Stiefelhagen

CoRR, May, 2026

IMPACT-CYCLE: A Contract-Based Multi-Agent System for Claim-Level Supervisory Correction of Long-Video Semantic Memory.

Weitong Kong, Di Wen, Kunyu Peng, David Schneider, Zeyun Zhong, Alexander Jaus, Zdravko Marinov, Jiale Wei, Ruiping Liu, Junwei Zheng, Yufan Chen, Lei Qi, Rainer Stiefelhagen

CoRR, April, 2026

Probing Intrinsic Medical Task Relationships: A Contrastive Learning Perspective.

Jonas Muth, Zdravko Marinov, Simon Reiß

CoRR, April, 2026

2025

Good Enough: Is it Worth Improving your Label Quality?

Alexander Jaus, Zdravko Marinov, Constantin Seibold, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen

CoRR, May, 2025

OmniFall: A Unified Staged-to-Wild Benchmark for Human Fall Detection.

David Schneider, Zdravko Marinov, Rafael Baur, Zeyun Zhong, Rodi Düger, Rainer Stiefelhagen

CoRR, May, 2025

Not All Ensembles Are Equal: A Short Study on Moderate to Severe Traumatic Brain Injury Segmentation Methods.

Zdravko Marinov, Jens Kleesiek, Rainer Stiefelhagen

Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

Enforcing Anatomical Symmetry with Euclidean Distance Transforms for Low-Field MRI Bilateral Structure Segmentation.

Zdravko Marinov, Jens Kleesiek, Rainer Stiefelhagen

Proceedings of the Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance, 2025

LIMIS: Towards Language-Based Interactive Medical Image Segmentation.

Lena Heinemann, Alexander Jaus, Zdravko Marinov, Moon S. Kim, Maria Francesca Spadea, Jens Kleesiek, Rainer Stiefelhagen

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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., December, 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, Junjun He, Yige Peng, Lei Bi, Jun Ma, Bo Wang, Jia Zhang, Yukun Huang, Lars Heiliger, Zdravko Marinov, Rainer Stiefelhagen, Jan Egger, Jens Kleesiek, Ludovic Sibille, Lei Xiang, Simone Bendazzoli, Mehdi Astaraki, Michael Ingrisch, Clemens C. Cyran, Thomas Küstner

Nat. Mac. Intell., 2024

Efficient MedSAMs: Segment Anything in Medical Images on Laptop.

Jun Ma, Feifei Li, Sumin Kim, Reza Asakereh, Bao-Hiep Le, Dang-Khoa Nguyen-Vu, Alexander Pfefferle, Muxin Wei, Ruochen Gao, Donghang Lyu, Songxiao Yang, Lennart Purucker, Zdravko Marinov, Marius Staring, Haisheng Lu, Thuy Thanh Dao, Xincheng Ye, Zhi Li, Gianluca Brugnara, Philipp Vollmuth, Martha Foltyn-Dumitru, Jaeyoung Cho, Mustafa A. Mahmutoglu, Martin Bendszus, Irada Pflüger, Aditya Rastogi, Dong Ni, Xin Yang, Guang-Quan Zhou, Kaini Wang, Nicholas Heller, Nikolaos Papanikolopoulos, Christopher J. Weight, Yubing Tong, Jayaram K. Udupa, Patrick J. Cahill, Yaqi Wang, Yifan Zhang, Francisco Contijoch, Elliot R. McVeigh, Xin Ye, Shucheng He, Robert Haase, Thomas Pinetz, Alexander Radbruch, Inga Krause, Erich Kobler, Jian He, Yucheng Tang, Haichun Yang, Yuankai Huo, Gongning Luo, Kaisar Kushibar, Jandos Amankulov, Dias Toleshbayev, Amangeldi Mukhamejan, Jan Egger, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Shohei Fujita, Tomohiro Kikuchi, Benedikt Wiestler, Jan S. Kirschke, Ezequiel de la Rosa, Federico Bolelli, Luca Lumetti, Costantino Grana, Kunpeng Xie, Guomin Wu, Behrus Puladi, Carlos Martín-Isla, Karim Lekadir, Víctor M. Campello, Wei Shao, Wayne Brisbane, Hongxu Jiang, Hao Wei, Wu Yuan, Shuangle Li, Yuyin Zhou, Bo Wang

CoRR, 2024

Rethinking Annotator Simulation: Realistic Evaluation of Whole-Body PET Lesion Interactive Segmentation Methods.

Zdravko Marinov, Moon S. Kim, Jens Kleesiek, Rainer Stiefelhagen

CoRR, 2024

Sliding Window Fastedit: A Framework for Lesion Annotation in Whole-Body Pet Images.

Matthias Hadlich, Zdravko Marinov, Moon Kim, Enrico Nasca, Jens Kleesiek, Rainer Stiefelhagen

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Taking a Step Back: Revisiting Classical Approaches for Efficient Interactive Segmentation of Medical Images.

Zdravko Marinov, Alexander Jaus, Jens Kleesiek, Rainer Stiefelhagen

Proceedings of the Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop, 2024

Filters, Thresholds, and Geodesic Distances for Scribble-Based Interactive Segmentation of Medical Images.

Zdravko Marinov, Alexander Jaus, Jens Kleesiek, Rainer Stiefelhagen

Proceedings of the Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop, 2024

2023

AutoPET Challenge 2023: Sliding Window-based Optimization of U-Net.

Matthias Hadlich, Zdravko Marinov, Rainer Stiefelhagen

CoRR, 2023

Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images.

Zdravko Marinov, Rainer Stiefelhagen, Jens Kleesiek

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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, Lars Heiliger, Constantin Seibold, Jens Kleesiek, Rainer Stiefelhagen

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Quantized Distillation: Optimizing Driver Activity Recognition Models for Resource-Constrained Environments.

Calvin Tanama, Kunyu Peng, Zdravko Marinov, Rainer Stiefelhagen, Alina Roitberg

IROS, 2023

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding.

Alina Roitberg, Kunyu Peng, Zdravko Marinov, Constantin Seibold, David Schneider, Rainer Stiefelhagen

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Multimodal Generation of Novel Action Appearances for Synthetic-to-Real Recognition of Activities of Daily Living.

Zdravko Marinov, David Schneider, Alina Roitberg, Rainer Stiefelhagen

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

ModSelect: Automatic Modality Selection for Synthetic-to-Real Domain Generalization.

Zdravko Marinov, Alina Roitberg, David Schneider, Rainer Stiefelhagen

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Pose2Drone: A Skeleton-Pose-based Framework for Human-Drone Interaction.

Zdravko Marinov, Stanka Vasileva, Qing Wang, Constantin Seibold, Jiaming Zhang, Rainer Stiefelhagen

Proceedings of the 29th European Signal Processing Conference, 2021