Development and validation of a less-sensitive DTI-based fiber tractography approach employing cubic hermite splines and global connectivity information. - Niklas Stein (2013)

Shrinking Circles: Adaptation to Increased Curvature Gain in Redirected Walking. - Luke Bölling; Niklas Stein; Frank Steinicke; Markus Lappe (IEEE Trans. Vis. Comput. Graph., 2019)

Predicting Future Position From Natural Walking and Eye Movements with Machine Learning. - Gianni Bremer; Niklas Stein; Markus Lappe (AIVR, 2021)

Analyzing Visual Perception and Predicting Locomotion using Virtual Reality and Eye Tracking. - Niklas Stein (VR Workshops, 2021)

Eye Tracking-based LSTM for Locomotion Prediction in VR. - Niklas Stein; Gianni Bremer; Markus Lappe (VR, 2022)

Machine Learning Prediction of Locomotion Intention from Walking and Gaze Data. - Gianni Bremer; Niklas Stein; Markus Lappe (Int. J. Semantic Comput., 2023)

Leakage Sources of the ICLooPUF: Analysis of a Side-Channel Protected Oscillator-Based PUF. - Niklas Stein; Michael Pehl (COSADE, 2024)

Quantization Schemes for PUFs: The Entropy-Area Trade-Off. - Jens Nöpel; Tim Music; Niklas Stein; Christoph Frisch; Michael Pehl (HOST, 2025)