Rainer Stiefelhagen
Director Computer Vision for Human-Computer Interaction Lab
Karlsruhe Institute of Technology
Latest
- Guiding the Guidance: A Comparative Analysis of User Guidance Signals for Interactive Segmentation of Volumetric Images
- Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines
- Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling
- 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
- Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding
- AutoPET Challenge: Combining nn-Unet with Swin UNETR Augmented by Maximum Intensity Projection Classifier
- Jointly Optimized Deep Neural Networks to Synthesize Monoenergetic Images from Single-Energy CT Angiography for Improving Classification of Pulmonary Embolism
- Breaking with Fixed Set Pathology Recognition Through Report-Guided Contrastive Training
- Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation
- CT Angiography Clot Burden Score from Data Mining of Structured Reports for Pulmonary Embolism
- Prediction of low-keV monochromatic images from polyenergetic CT scans for improved automatic detection of pulmonary embolism
- Self-Guided Multiple Instance Learning for Weakly Supervised Thoracic DiseaseClassification and Localizationin Chest Radiographs