Probabilistic fusion of multiple algorithms for object recognition at information level. - Matthias Lutz; Dennis Stampfer; Siegfried Hochdorfer; Christian Schlegel (TePRA, 2012)

Information driven sensor placement for robust active object recognition based on multiple views. - Dennis Stampfer; Matthias Lutz; Christian Schlegel (TePRA, 2012)

Probabilistic object recognition and pose estimation by fusing multiple algorithms. - Matthias Lutz; Dennis Stampfer; Christian Schlegel (ICRA, 2013)

Service Robot Control Architectures for Flexible and Robust Real-World Task Execution: Best Practices and Patterns. - Matthias Lutz; Dennis Stampfer; Alex Lotz; Christian Schlegel (GI-Jahrestagung, 2014)

Towards a Stepwise Variability Management Process for Complex Systems: A Robotics Perspective. - Alex Lotz; Juan F. Inglés-Romero; Dennis Stampfer; Matthias Lutz; Cristina Vicente-Chicote; Christian Schlegel (Int. J. Inf. Syst. Model. Des., 2014)

Model-driven software systems engineering in robotics: Covering the complete life-cycle of a robot. - Christian Schlegel; Alex Lotz; Matthias Lutz; Dennis Stampfer; Juan F. Inglés-Romero; Cristina Vicente-Chicote (it Inf. Technol., 2015)

Estimation of Arterial Vasomotion Using Intravascular Optical Coherence Tomography. - Sarah Latus; Matthias Lutz; Christoph Otte; Sven-Thomas Antoni; Norbert Frey; Alexander Schlaefer (CURAC, 2016)

Towards a robot fleet for intra-logistic tasks: Combining free robot navigation with multi-robot coordination at bottlenecks. - Matthias Lutz; Christian Verbeek; Christian Schlegel (ETFA, 2016)

Combining robotics component-based model-driven development with a model-based performance analysis. - Alex Lotz; Arne Hamann 001; Ralph Lange; Christian Heinzemann; Jan Staschulat; Vincent Kesel; Dennis Stampfer; Matthias Lutz; Christian Schlegel (SIMPAR, 2016)

Modeling Non-Functional Application Domain Constraints for Component-Based Robotics Software Systems. - Alex Lotz; Arne Hamann 001; Ingo Lütkebohle; Dennis Stampfer; Matthias Lutz; Christian Schlegel (CoRR, 2016)

Automation of Intralogistic Processes through Flexibilisation - A Method for the Flexible Configuration and Evaluation of Systems of Systems. - Marco Bonini; Augusto Urru; Sebastian Steinau; Selcuk Ceylan; Matthias Lutz; Jan Schuhmacher; Kevin Andrews; Harry Halfar; Stefan Kunaschk; Asadul Haque; Vinu Nair; Matthias Rollenhagen; et al. (ICINCO (2), 2018)

A Component-Based and Model-Driven Approach to Deal with Non-Functional Properties through Global QoS Metrics. - Cristina Vicente-Chicote; Juan F. Inglés-Romero; Jesús Martínez; Dennis Stampfer; Alex Lotz; Matthias Lutz; Christian Schlegel (MoDELS (Workshops), 2018)

Plaque Classification in Coronary Arteries from IVOCT Images Using Convolutional Neural Networks and Transfer Learning. - Nils Gessert; Markus Heyder; Sarah Latus; Matthias Lutz; Alexander Schlaefer (CoRR, 2018)

Adversarial Training for Patient-Independent Feature Learning with IVOCT Data for Plaque Classification. - Nils Gessert; Markus Heyder; Sarah Latus; David M. Leistner; Youssef S. Abdelwahed; Matthias Lutz; Alexander Schlaefer (CoRR, 2018)

Entwicklung eines modernen Lehr- und Lernkonzepts für Maschinelles Lernen mit Infrastructure-as-a-Service und Cloud Computing. - Patrick Palsbröker; Matthias Lutz; Carsten Gips; Matthias König 001 (DeLFI, 2019)

Quantitative Analysis of 3D Artery Volume Reconstructions Using Biplane Angiography and Intravascular OCT Imaging. - Sarah Latus; Maximilian Neidhardt; Matthias Lutz; Nils Gessert; Norbert Frey; Alexander Schlaefer (EMBC, 2019)

Towards Flexible Process Automation: An Approach for Flexible Service Robot Adaptation and Allocation. - Matthias Rollenhagen; Matthias Lutz; Nayabrasul Shaik; Kevin Andrews; Sebastian Steinau; Manfred Reichert; Christian Schlegel (ISCSIC, 2019)

GerVADER - A German Adaptation of the VADER Sentiment Analysis Tool for Social Media Texts. - Karsten Tymann; Matthias Lutz; Patrick Palsbröker; Carsten Gips (LWDA, 2019)

Bioresorbable scaffold visualization in IVOCT images using CNNs and weakly supervised localization. - Nils Gessert; Sarah Latus; Youssef S. Abdelwahed; David M. Leistner; Matthias Lutz; Alexander Schlaefer (Image Processing, 2019)

Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks. - Nils Gessert; Matthias Lutz; Markus Heyder; Sarah Latus; David M. Leistner; Youssef S. Abdelwahed; Alexander Schlaefer (IEEE Trans. Medical Imaging, 2019)

2D Localization in Large Areas Using Inexpensive RGBD Camera Augmented With Visual Tags. - Nayabrasul Shaik; Matthias Lutz; Christian Schlegel (ETFA, 2020)

Composable Coordination for Service Robots: A Model-Driven Approach (Flexibel zusammensetzbare Koordination für Serviceroboter: Ein modellgetriebener Ansatz) - Matthias Lutz (2022)

A Miniature Dual-Fiber Probe for Quantitative Optical Coherence Elastography. - Sarah Latus; Sarah Grube; Tim Eixmann; Maximilian Neidhardt; Stefan Gerlach; Robin Mieling; Gereon Hüttmann; Matthias Lutz; Alexander Schlaefer (IEEE Trans. Biomed. Eng., 2023)