Tobias Heimann
American Association For Cancer Research(US)European Institute for Biomedical Imaging Research(AT)Siemens Healthcare (United States)(US)Siemens Healthineers (Germany)(DE)
Publications by Year
Research Areas
Medical Image Segmentation Techniques, 3D Shape Modeling and Analysis, Radiomics and Machine Learning in Medical Imaging, Image Retrieval and Classification Techniques, AI in cancer detection
Most-Cited Works
- → Statistical shape models for 3D medical image segmentation: A review(2009)1,392 cited
- → SVF-Net: Learning Deformable Image Registration Using Shape Matching(2017)331 cited
- 3D Segmentation in the Clinic: A Grand Challenge(2007)
- → Validation of Fourier decomposition MRI with dynamic contrast-enhanced MRI using visual and automated scoring of pulmonary perfusion in young cystic fibrosis patients(2013)123 cited
- → A Shape-Guided Deformable Model with Evolutionary Algorithm Initialization for 3D Soft Tissue Segmentation(2007)102 cited
- → 3D Active Shape Models Using Gradient Descent Optimization of Description Length(2005)93 cited
- → Fast porous visco-hyperelastic soft tissue model for surgery simulation: Application to liver surgery