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2020 – today
- 2023
[j4]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): 3064-3072 (2023)- 2022
- [b1]Matthias Lutz:
Composable Coordination for Service Robots: A Model-Driven Approach (Flexibel zusammensetzbare Koordination für Serviceroboter: Ein modellgetriebener Ansatz). Technical University of Munich, Germany, 2022 - 2020
- [c16]Nayabrasul Shaik, Matthias Lutz, Christian Schlegel:
2D Localization in Large Areas Using Inexpensive RGBD Camera Augmented With Visual Tags. ETFA 2020: 613-619
2010 – 2019
- 2019
- [j3]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): 426-434 (2019) - [c15]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: 127-132 - [c14]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: 6004-6007 - [c13]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: 3:1-3:7 - [c12]Karsten Tymann, Matthias Lutz, Patrick Palsbröker, Carsten Gips:
GerVADER - A German Adaptation of the VADER Sentiment Analysis Tool for Social Media Texts. LWDA 2019: 178-189 - [c11]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: 109492C - 2018
- [c10]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: 390-398 - [c9]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: 40-45 - [i5]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 abs/1804.03904 (2018) - [i4]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 abs/1805.06223 (2018) - [i3]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 abs/1808.04187 (2018) - [i2]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 abs/1810.09578 (2018) - 2016
- [c8]Sarah Latus, Matthias Lutz, Christoph Otte, Sven-Thomas Antoni, Norbert Frey, Alexander Schlaefer:
Estimation of Arterial Vasomotion Using Intravascular Optical Coherence Tomography. CURAC 2016: 203-207 - [c7]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: 1-4 - [c6]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: 170-176 - [i1]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 abs/1601.02379 (2016) - 2015
- [j2]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): 85-98 (2015) - 2014
- [j1]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): 55-74 (2014) - [c5]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: 1295-1306 - 2013
- [c4]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: 2780-2794 - [c3]Matthias Lutz, Dennis Stampfer, Christian Schlegel:
Probabilistic object recognition and pose estimation by fusing multiple algorithms. ICRA 2013: 4244-4249 - 2012
- [c2]Dennis Stampfer, Matthias Lutz, Christian Schlegel:
Information driven sensor placement for robust active object recognition based on multiple views. TePRA 2012: 133-138 - [c1]Matthias Lutz, Dennis Stampfer, Siegfried Hochdorfer, Christian Schlegel:
Probabilistic fusion of multiple algorithms for object recognition at information level. TePRA 2012: 139-144
Coauthor Index
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