Christian Knaak

Machine learning as a comparative tool to determine the relevance of signal features in laser welding

Ulrich Thombansen, Christian Knaak, Peter Abels, 2018 .

Uncooled MWIR PbSe technology outperforms CMOS in RT closed-loop control and monitoring of laser processing

Antón García-Díaz, Jorge Rodríguez-Araújo, Christian Knaak, 2017 .

Netzwerk-Strukturierung -- Strukturierung eines multimedialen Netzwerks für Schulen

Jens Lüssem, Adrian Spalka, Christian Knaak, 1997, LOG IN.

Deep learning-based semantic segmentation for in-process monitoring in laser welding applications

Peter Abels, Christian Knaak, Moritz Kröger, 2019, Optical Engineering + Applications.

Improving Build Quality in Laser Powder Bed Fusion Using High Dynamic Range Imaging and Model-Based Reinforcement Learning

Arnold Gillner, Peter Abels, Christian Knaak, 2021, IEEE Access.

A Spatio-Temporal Ensemble Deep Learning Architecture for Real-Time Defect Detection during Laser Welding on Low Power Embedded Computing Boards

Arnold Gillner, Peter Abels, Christian Knaak, 2021, Sensors.

Complement receptor 2-mediated targeting of complement inhibitors to sites of complement activation.

Stephen Tomlinson, Christian Knaak, J. Guthridge, 2003, The Journal of clinical investigation.

Megalin Functions as an Endocytic Sonic Hedgehog Receptor*

Christian Knaak, W Scott Argraves, W. Argraves, 2002, The Journal of Biological Chemistry.