Henrik Skibbe
Scholar

Henrik Skibbe

Google Scholar ID: sQyGf94AAAAJ
RIKEN, Center for Brain Science, Brain Image Analysis Unit, Japan
Pattern RecognitionBiomedical Image ProcessingComputer VisionMachine LearningComputer
Citations & Impact
All-time
Citations
655
 
H-index
15
 
i10-index
22
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published multiple papers in journals like Nature Scientific Reports, PLoS Biology; Received acceptance for several conference papers including MICCAI, MIDL; Awarded the RIKEN 「理研栄峰賞」prize.
Research Experience
  • Participated in the Brain/MINDS 2.0 project; Collaborates closely with experts from multiple scientific fields such as computer science, neuroscience, and medicine.
Background
  • Focused on leveraging machine learning, especially deep learning, to enhance the processing and analysis of brain imaging data. Specializes in various types of brain imaging techniques including two-photon microscopy, bright-field microscopy images, and MRI scans.
Miscellany
  • Team members include Henrik Skibbe (Unit Leader), Itsuko Ishii (Technical Staff), Méghane Decroocq (JSPS Research Fellow), etc.; Has its own GitHub page for sharing tools and data resources.
Co-authors
0 total
Co-authors: 0 (list not available)