Matthias Lutz

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 19

Top Topics

Convolutional Neural Networks

Systems Engineering

Process Automation

Intravascular Ultrasound

Top Venues

GI-Jahrestagung

MoDELS (Workshops)

Publications

Sarah Latus, Sarah Grube, Tim Eixmann, Maximilian Neidhardt, Stefan Gerlach, Robin Mieling, Gereon Hüttmann, Matthias Lutz, Alexander Schlaefer
A Miniature Dual-Fiber Probe for Quantitative Optical Coherence Elastography. IEEE Trans. Biomed. Eng. 70 (11) (2023)
Nayabrasul Shaik, Matthias Lutz, Christian Schlegel
2D Localization in Large Areas Using Inexpensive RGBD Camera Augmented With Visual Tags. ETFA (2020)
Nils Gessert, Matthias Lutz, Markus Heyder, Sarah Latus, David M. Leistner, Youssef S. Abdelwahed, Alexander Schlaefer
Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks. IEEE Trans. Medical Imaging 38 (2) (2019)
Patrick Palsbröker, Matthias Lutz, Carsten Gips, Matthias König
Entwicklung eines modernen Lehr- und Lernkonzepts für Maschinelles Lernen mit Infrastructure-as-a-Service und Cloud Computing. DeLFI (2019)
Karsten Tymann, Matthias Lutz, Patrick Palsbröker, Carsten Gips
GerVADER - A German Adaptation of the VADER Sentiment Analysis Tool for Social Media Texts. LWDA (2019)
Matthias Rollenhagen, Matthias Lutz, Nayabrasul Shaik, Kevin Andrews, Sebastian Steinau, Manfred Reichert, Christian Schlegel
Towards Flexible Process Automation: An Approach for Flexible Service Robot Adaptation and Allocation. ISCSIC (2019)
Nils Gessert, Sarah Latus, Youssef S. Abdelwahed, David M. Leistner, Matthias Lutz, Alexander Schlaefer
Bioresorbable scaffold visualization in IVOCT images using CNNs and weakly supervised localization. Medical Imaging: Image Processing (2019)
Sarah Latus, Maximilian Neidhardt, Matthias Lutz, Nils Gessert, Norbert Frey, Alexander Schlaefer
Quantitative Analysis of 3D Artery Volume Reconstructions Using Biplane Angiography and Intravascular OCT Imaging. EMBC (2019)
Nils Gessert, Markus Heyder, Sarah Latus, Matthias Lutz, Alexander Schlaefer
Plaque Classification in Coronary Arteries from IVOCT Images Using Convolutional Neural Networks and Transfer Learning. CoRR (2018)
Nils Gessert, Markus Heyder, Sarah Latus, David M. Leistner, Youssef S. Abdelwahed, Matthias Lutz, Alexander Schlaefer
Adversarial Training for Patient-Independent Feature Learning with IVOCT Data for Plaque Classification. CoRR (2018)
Marco Bonini, Augusto Urru, Sebastian Steinau, Selcuk Ceylan, Matthias Lutz, Jan Schuhmacher, Kevin Andrews, Harry Halfar, Stefan Kunaschk, Asadul Haque, Vinu Nair, Matthias Rollenhagen, Nayabrasul Shaik, Manfred Reichert, Norbert Bartneck, Christian Schlegel, Vera Hummel, Wolfgang Echelmeyer
Automation of Intralogistic Processes through Flexibilisation - A Method for the Flexible Configuration and Evaluation of Systems of Systems. ICINCO (2) (2018)
Nils Gessert, Matthias Lutz, Markus Heyder, Sarah Latus, David M. Leistner, Youssef S. Abdelwahed, Alexander Schlaefer
Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks. CoRR (2018)
Nils Gessert, Sarah Latus, Youssef S. Abdelwahed, David M. Leistner, Matthias Lutz, Alexander Schlaefer
Bioresorbable Scaffold Visualization in IVOCT Images Using CNNs and Weakly Supervised Localization. CoRR (2018)
Cristina Vicente-Chicote, Juan F. Inglés-Romero, Jesús Martínez, Dennis Stampfer, Alex Lotz, Matthias Lutz, Christian Schlegel
A Component-Based and Model-Driven Approach to Deal with Non-Functional Properties through Global QoS Metrics. MoDELS (Workshops) (2018)
Matthias Lutz, Christian Verbeek, Christian Schlegel
Towards a robot fleet for intra-logistic tasks: Combining free robot navigation with multi-robot coordination at bottlenecks. ETFA (2016)
Sarah Latus, Matthias Lutz, Christoph Otte, Sven-Thomas Antoni, Norbert Frey, Alexander Schlaefer
Estimation of Arterial Vasomotion Using Intravascular Optical Coherence Tomography. CURAC (2016)
Alex Lotz, Arne Hamann, Ingo Lütkebohle, Dennis Stampfer, Matthias Lutz, Christian Schlegel
Modeling Non-Functional Application Domain Constraints for Component-Based Robotics Software Systems. CoRR (2016)
Alex Lotz, Arne Hamann, Ralph Lange, Christian Heinzemann, Jan Staschulat, Vincent Kesel, Dennis Stampfer, Matthias Lutz, Christian Schlegel
Combining robotics component-based model-driven development with a model-based performance analysis. SIMPAR (2016)
Christian Schlegel, Alex Lotz, Matthias Lutz, Dennis Stampfer, Juan F. Inglés-Romero, Cristina Vicente-Chicote
Model-driven software systems engineering in robotics: Covering the complete life-cycle of a robot. it Inf. Technol. 57 (2) (2015)
Matthias Lutz, Dennis Stampfer, Alex Lotz, Christian Schlegel
Service Robot Control Architectures for Flexible and Robust Real-World Task Execution: Best Practices and Patterns. GI-Jahrestagung (2014)
Alex Lotz, Juan F. Inglés-Romero, Dennis Stampfer, Matthias Lutz, Cristina Vicente-Chicote, Christian Schlegel
Towards a Stepwise Variability Management Process for Complex Systems: A Robotics Perspective. Int. J. Inf. Syst. Model. Des. 5 (3) (2014)
Matthias Lutz, Dennis Stampfer, Christian Schlegel
Probabilistic object recognition and pose estimation by fusing multiple algorithms. ICRA (2013)
Christian Schlegel, Matthias Lutz, Alex Lotz, Dennis Stampfer, Juan F. Inglés-Romero, Cristina Vicente-Chicote
Model-Driven Software Systems Engineering in Robotics: Covering the Complete Life-Cycle of a Robot. GI-Jahrestagung (2013)
Dennis Stampfer, Matthias Lutz, Christian Schlegel
Information driven sensor placement for robust active object recognition based on multiple views. TePRA (2012)
Matthias Lutz, Dennis Stampfer, Siegfried Hochdorfer, Christian Schlegel
Probabilistic fusion of multiple algorithms for object recognition at information level. TePRA (2012)