- Using and Extending the Signal, Image and Video Labelers
- Preprocessing to facilitate image labeling
- Iteratively building and incorporating computer-vision and machine-learning models
- Automating pixel-level labeling
About the Presenters
Raphaël Thierry is a Senior expert in Data Science at the NIBR (Novartis Institute for Biomedical Research) in Switzerland. He has authored over 50 publications in journals and international conferences and has been granted two patents in algorithmic design. He has an Engineer title in Computer Science and a Ph.D. degree in Applied Mathematics from the University Joseph Fourier. He held a postdoctoral research position for 4 years at ETH Zurich on the correction of photon scattering and beam hardening in X-ray CT. He then worked as a senior scientist at the center for cellular imaging and nanoanalytics (C-CINA), where he developed techniques for Electron Microscopy images. In 2012 he joined the Friedrich Miescher Institute in Basel, where he was responsible for image processing and software development at the Facility for Advanced Imaging and Microscopy (FAIM). Since 2018 he works at the NIBR on projects with a strong focus on image processing and computer vision involving deep/machine learning approaches.
Toon Weyens is an application engineer at MathWorks in Eindhoven, Netherlands. He supports innovative companies in automation and machinery, automotive, and aerospace industries by helping them use MathWorks software to analyze data, develop algorithms, create mathematical models, and scale to run on clusters, GPUs, and clouds. Prior to joining MathWorks, Toon was a postdoctoral researcher at the ITER Organization. He holds a M.Sc. degree in Energy Engineering from the University of Leuven, a M.Sc. degree in Nuclear Fusion Science and Technology from the Universidad Carlos III in Madrid, and a Ph.D. degree in Applied Physics from Eindhoven University of Technology.
Christoph Kammer is an application engineer at MathWorks. He supports customers in many different industries in the areas of machine and deep learning, image and signal processing and deployment to embedded or enterprise systems. Christoph has a master’s degree in Mechanical Engineering from ETHZ and a PhD in Electrical Engineering from EPFL, where he specialized in optimization and control design as well as the control and modelling of power systems.