Prediction of search targets from fixations in open-world settings. - Hosnieh Sattar; Sabine Müller 001; Mario Fritz; Andreas Bulling (CVPR, 2015)

Robust Interactive Multi-label Segmentation with an Advanced Edge Detector. - Sabine Müller 001; Peter Ochs; Joachim Weickert; Norbert M. Graf (GCPR, 2016)

Automatic brain tumor segmentation with a fast Mumford-Shah algorithm. - Sabine Müller 001; Joachim Weickert; Norbert M. Graf (Image Processing, 2016)

Wilms' Tumor in Childhood: Can Pattern Recognition Help for Classification? - Sabine Müller 001; Joachim Weickert; Norbert M. Graf (MIUA, 2019)

Scalable Hyperparameter Optimization with Lazy Gaussian Processes. - Raju Ram; Sabine Müller 001; Franz-Josef Pfreundt; Nicolas R. Gauger; Janis Keuper (MLHPC@SC, 2019)

Robustness of Brain Tumor Segmentation. - Sabine Müller 001; Joachim Weickert; Norbert M. Graf (CoRR, 2019)

Nephroblastoma in MRI Data. - Sabine Müller 001 (2019)

Object Segmentation Tracking from Generic Video Cues. - Amirhossein Kardoost; Sabine Müller 001; Joachim Weickert; Margret Keuper (ICPR, 2020)

Quantum Feature Selection. - Sascha Mücke; Raoul Heese; Sabine Müller 001; Moritz Wolter; Nico Piatkowski (CoRR, 2022)

Explainable Quantum Machine Learning. - Raoul Heese; Thore Gerlach; Sascha Mücke; Sabine Müller 001; Matthias Jakobs; Nico Piatkowski (CoRR, 2023)

Feature selection on quantum computers. - Sascha Mücke; Raoul Heese; Sabine Müller 001; Moritz Wolter; Nico Piatkowski (Quantum Mach. Intell., 2023)

LLM-Generated Tips Rival Expert-Created Tips in Helping Students Answer Quantum-Computing Questions. - Lars Krupp; Jonas Bley; Isacco Gobbi; Alexander Geng; Sabine Müller 001; Sungho Suh; Ali Moghiseh; Arcesio Castañeda Medina; Valeria Bartsch; Artur Widera; Herwig Ott; Paul Lukowicz; et al. (CoRR, 2024)

Explaining quantum circuits with Shapley values: towards explainable quantum machine learning. - Raoul Heese; Thore Gerlach; Sascha Mücke; Sabine Müller 001; Matthias Jakobs; Nico Piatkowski (Quantum Mach. Intell., 2025)