Gabriele Lohmann
Papers
1
Total Citations
5
H-Index
1
About
Gabriele Lohmann is a leading figure in medical image analysis and computational neuroimaging, with a career-spanning focus on developing advanced methods for understanding brain structure and function. Her major contributions lie in the creation of robust statistical frameworks and algorithms for analyzing complex neuroimaging data, particularly functional MRI (fMRI) and diffusion tensor imaging (DTI). She is widely recognized for pioneering work on connectivity analysis and clustering techniques that help map neural networks and their disruptions in psychiatric and neurological disorders. Her highly cited papers, including foundational work on "LIPSIA" (a widely used fMRI analysis software package) and novel approaches to detecting brain activation patterns, have garnered thousands of citations, cementing her influence in the field. Lohmann’s research has also extended to multimodal imaging integration and the study of brain asymmetry, earning her a reputation for methodological rigor and innovation. Her achievements include leading major research projects at the Max Planck Institute for Human Cognitive and Brain Sciences, where her tools and insights continue to shape how scientists explore the human connectome.
Research Focus
Key Achievements
Top Papers
- 1Robotic surgery and planning for corrective femur osteotomy5 citations · 2002