Timo Bernthaler

Image-based defect detection in lithium-ion battery electrode using convolutional neural networks

Olatomiwa Badmos, Andreas Kopp, Timo Bernthaler, 2020, J. Intell. Manuf..

Colored micrographs significantly outperform grayscale ones in modern machine learning: Insights from a systematical analysis of lithium-ion battery micrographs using Convolutional Neural Networks

Ingo J. Timm, Ricardo Buettner, Timo Bernthaler, 2017 .

Applications of Microscopy in Additive Manufacturing

Timo Bernthaler, Gerhard Schneider, Tim Schubert, 2015 .

Machine Learning for Microstructure Quantification of Different Material Classes

Timo Bernthaler, Gerhard Schneider, A. Kumar Choudhary, 2020 .

5XiL-BW-e - Laboratory Network Baden-Württemberg for Electric Mobility [in press]

Albert Albers, Michael Buchholz, Matthias Behrendt, 2017 .

Aging of Traction Batteries in Vehicle-to-Grid Applications : A Case Study and Post Mortem Analysis

Timo Bernthaler, Marius Bauer, Clemens Günther, 2016 .

Individual material and process development in laser based additive manufacturing

Markus Hofele, Simon Ruck, David Kolb, 2019, LASE.

Comparison of deep learning-based image segmentation methods for the detection of voids in X-ray images of microelectronic components

Christian Hollerith, Timo Bernthaler, Andreas Jansche, 2021, 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE).

Comparison of deep learning methods for image deblurring on light optical materials microscopy data

Ricardo Buettner, Timo Bernthaler, Andreas Jansche, 2021, 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE).

The Materialographic Preparation and Microstructure Characterization of Lithium Ion Accumulators

Timo Bernthaler, Gerhard Schneider, Volker Knoblauch, 2012 .

XiL-BW-e – Laboratory Network Baden-Württemberg for Electric Mobility

Albert Albers, Michael Buchholz, Klaus Dietmayer, 2017 .