Philipp Flotho
Scholar

Philipp Flotho

Google Scholar ID: yPR-u5oAAAAJ
Chair for Clinical Bioinformatics, Saarland Informatics Campus, Saarland University
Self-supervised LearningBiomedical ImagingOptical ImagingDeep LearningComputer Vision
Citations & Impact
All-time
Citations
132
 
H-index
7
 
i10-index
5
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Publications: Specific list not provided, please refer to the 'Publications' section on his personal website for more information. Software Tools: PyFlowReg (GitHub, PyPI), FlowReg3D (in development). Projects Involved: ImageJ/FIJI Plugin and MATLAB Toolbox for 2-Photon Image Registration, Variational 1D Alignment, Multimodal Data Acquisition at SARS-CoV-2 Testing Centers, Motion Analysis in a Study for Auditory Attention.
Research Experience
  • Current Position: Research Scientist; Research Projects: 1. Motion Correction for Functional Microscopy, developing variational optical flow methods specifically tuned for 2-photon calcium imaging. 2. Motion Magnification and Microexpression Analysis, creating Lagrangian-based amplification techniques. 3. Volumetric Registration and Motion Analysis for 3D Microscopy, extending 2D registration methods to native 3D. Software Tools: PyFlowReg (modern Python implementation for 2D motion correction in microscopy); FlowReg3D (in development, native 3D extension for volumetric microscopy data). Previous Position: Lab Head and Lead Computer Vision Researcher at the Visual Computing for Neuroscience Lab, part of the Systems Neuroscience and Neurotechnology Unit (SNNU), Saarland University (2018-2024).
Background
  • Research Interests: Computer Vision, Systems Neuroscience, and Bioinformatics; Professional Field: Cross-domain challenges of advanced visual computing methods in specialized biomedical imaging and computational biology workflows; Brief Introduction: Focuses on large-scale multimodal data, 2-photon microscopy, thermal imaging, face analysis, and bridging methods from computer vision and deep learning into modern bioinformatics pipelines.
Miscellany
  • Contact Information: Can be reached through GitHub, PyPI, or email.
Co-authors
0 total
Co-authors: 0 (list not available)