Constantin Seibold
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, Advanced Neural Network Applications, COVID-19 diagnosis using AI, Advanced X-ray and CT Imaging
Most-Cited Works
- → CellViT: Vision Transformers for precise cell segmentation and classification(2024)244 cited
- → Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation(2021)85 cited
- → Reference-Guided Pseudo-Label Generation for Medical Semantic Segmentation(2022)64 cited
- → CT Angiography Clot Burden Score from Data Mining of Structured Reports for Pulmonary Embolism(2021)22 cited
- → A Comparative Analysis of Decision-Level Fusion for Multimodal Driver Behaviour Understanding(2022)16 cited
- → Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation(2021)16 cited
- → Towards Unifying Anatomy Segmentation: Automated Generation of a Full-Body CT Dataset(2024)14 cited
- → Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling(2024)14 cited