Publications

A Modular Deep Learning Pipeline for Cell Culture Analysis: Investigating the Proliferation of Cardiomyocytes

Lars Leyendecker, Julius Haas, Tobias Piotrowski, and Maik Frye, Cora Becker, Bernd Fleischmann, Michael Hesse, Robert H. Schmitt

In Medical Imaging with Deep Learning - MIDL 2022, ETH Zürich, Switzerland, Jul 2022 (peer-reviewed publication)

PAPER / SLIDES

Benchmarking of Deep Learning Algorithms for Stem Cell Classification

Julius Haas

Master Thesis, Fraunhofer IPT, TH Köln

THESIS / SLIDES

Control of an air conditioning device by recurrent neural networks (RNNs)

Julius Haas, and Karl Kohlhoff

Micro- and Nanotechnologies, Faculty of Information, Media, and Electrical Engineering, TH Köln, Jun 2021

PAPER / POSTER

Probability of General Position

Niklas Hammerschmidt, Julius Haas, Ana Maria Gonzalez Degetau,
Julian Hatzky, Tobias Sauer, Miriam Irding, Alexander Meinert

Faculty of Process Engineering, Energy and Mechanical Systems, Institute of Product Development and Engineering Design, TH Köln, Nov 2019

PAPER / SLIDES