Niklas Schröter

According to our database, Niklas Schröter authored at least 4 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data.

Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jegou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel Dubois

CoRR, 2023

Towards Automated COVID-19 Presence and Severity Classification.

Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Bernhard Bauer, Wolfgang Reif, Elisabeth André, Frank Kramer

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

2021

PermeabilityNets: Comparing Neural Network Architectures on a Sequence-to-Instance Task in CFRP Manufacturing.

Simon Stieber, Niklas Schröter, Ewald Fauster, Alexander Schiendorfer, Wolfgang Reif

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

FlowFrontNet: Improving Carbon Composite Manufacturing with CNNs.

Simon Stieber, Niklas Schröter, Alexander Schiendorfer, Alwin Hoffmann, Wolfgang Reif

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020