Daniel Haehn
Department:
Computer Science
Title:
Assistant Professor
Location:
McCormack Hall Floor 03
Biography
Daniel Haehn is a biomedical imaging and visualization researcher who investigates how the study of brain connectivity and machine perception can help advance the understanding of biologically inspired artificial intelligence. Haehn strongly supports open science and open education.
Area of Expertise
Biomedical imaging, visualization, computer graphics
Degrees
PhD, Harvard University
MS, University of Heidelberg
BS, University of Heidelberg
Professional Publications & Contributions
- Evaluating 'Graphical Perception' with CNNs
- Guided Proofreading of Automatic Segmentations for Connectomics
- Scalable Interactive Visualization for Connectomics
- Design and Evaluation of Interactive Proofreading Tools for Connectomics
- Slice:Drop - Collaborative Medical Imaging in the Browser
- Neuroimaging in the Browser using the X Toolkit