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Zdravko Marinov

Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging
Taking a Step Back: Revisiting Classical Approaches for Efficient Interactive Segmentation of Medical Images
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy
Rethinking Annotator Simulation: Realistic Evaluation of Whole-Body PET Lesion Interactive Segmentation Methods
Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images
The autoPET challenge: Towards fully automated lesion segmentation in oncologic PET/CT imaging
Mirror U-Net: Marrying Multimodal Fission with Multi-task Learning for Semantic Segmentation in Medical Imaging
Multimodal Interactive Lung Lesion Segmentation: A Framework for Annotating PET/CT Images based on Physiological and Anatomical Cues
AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier

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