TY - CHAP A1 - Obermaier, Christina A1 - Riebl, Raphael A1 - Facchi, Christian A1 - Al-Bayatti, Ali H. A1 - Khan, Sarmadullah T1 - COSIDIA: an approach for real-time parallel discrete event simulations tailored for wireless networks T2 - SIGSIM-PADS '21: Proceedings of the 2021 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation UR - https://doi.org/10.1145/3437959.3459250 KW - hardware in the loop KW - vehicular ad hoc networks KW - discrete event simulation KW - real-time simulation Y1 - 2021 UR - https://doi.org/10.1145/3437959.3459250 SN - 978-1-4503-8296-0 SP - 165 EP - 171 PB - ACM CY - New York ER - TY - JOUR A1 - Delooz, Quentin A1 - Festag, Andreas A1 - Vinel, Alexey T1 - Congestion Aware Objects Filtering for Collective Perception JF - Electronic Communications of the EASST N2 - This paper addresses collective perception for connected and automated driving. It proposes the adaptation of filtering rules based on the currently available channel resources, referred to as Enhanced DCC-Aware Filtering (EDAF). UR - http://dx.doi.org/10.14279/tuj.eceasst.80.1160 KW - V2X KW - Decentralized Congestion Control KW - Collective Perception Y1 - 2021 UR - http://dx.doi.org/10.14279/tuj.eceasst.80.1160 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-14761 SN - 1863-2122 VL - 80 PB - TU Berlin CY - Berlin ER - TY - CHAP A1 - Maksimovski, Daniel A1 - Facchi, Christian A1 - Festag, Andreas T1 - Priority Maneuver (PriMa) Coordination for Connected and Automated Vehicles T2 - 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) UR - https://doi.org/10.1109/ITSC48978.2021.9564923 Y1 - 2021 UR - https://doi.org/10.1109/ITSC48978.2021.9564923 SN - 978-1-7281-9142-3 SP - 1083 EP - 1089 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Gerngroß, Martin A1 - Herrmann, Patrick A1 - Endisch, Christian T1 - Nonlinear modelling of dynamic wire tension for needle winding processes of distributed windings T2 - Proceedings, 2019 IEEE International Conference on Industrial Technology (ICIT) UR - https://doi.org/10.1109/ICIT.2019.8755052 Y1 - 2019 UR - https://doi.org/10.1109/ICIT.2019.8755052 SN - 978-1-5386-6376-9 SP - 151 EP - 156 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Okon, Michael A1 - Endisch, Christian T1 - On air-gap approximations for slotted electrical machine models assuming radial magnetic fields T2 - Proceedings, 2019 IEEE International Conference on Industrial Technology (ICIT) UR - https://doi.org/10.1109/ICIT.2019.8755196 KW - electrical machine modeling KW - radial air-gap magnetic field KW - magnetically effective air-gap KW - slotting effects Y1 - 2019 UR - https://doi.org/10.1109/ICIT.2019.8755196 SN - 978-1-5386-6376-9 SP - 292 EP - 297 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Festag, Andreas A1 - Udupa, Shrivatsa A1 - Garcia, Lourdes A1 - Wellens, Ralf A1 - Hecht, Matthias A1 - Ulfig, Pierre T1 - End-to-End Performance Measurements of Drone Communications in 5G Cellular Networks T2 - 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall): Proceedings UR - https://doi.org/10.1109/VTC2021-Fall52928.2021.9625429 KW - drone KW - measurements KW - end-to-end performance KW - 5G KW - network slicing KW - BVLOS Y1 - 2021 UR - https://doi.org/10.1109/VTC2021-Fall52928.2021.9625429 SN - 978-1-6654-1368-8 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Gerngroß, Martin A1 - Herrmann, Patrick A1 - Endisch, Christian A1 - Westermaier, Christian T1 - Optimization of the End Winding Patterns in Needle Wound Traction Stators T2 - Proceedings, 2019 IEEE International Conference on Mechatronics (ICM) UR - https://doi.org/10.1109/ICMECH.2019.8722897 KW - needle winding KW - end winding patterns KW - optimization method KW - virtual tool chain Y1 - 2019 UR - https://doi.org/10.1109/ICMECH.2019.8722897 SN - 978-1-5386-6959-4 SP - 314 EP - 320 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Kleiner, Jan A1 - Heider, Alexander A1 - Komsiyska, Lidiya A1 - Elger, Gordon A1 - Endisch, Christian T1 - Thermal behavior of intelligent automotive lithium-ion batteries: Experimental study with switchable cells and reconfigurable modules JF - Journal of Energy Storage UR - https://doi.org/10.1016/j.est.2021.103274 KW - lithium-ion KW - intelligent battery KW - switchable cell KW - reconfiguration KW - smart cell KW - thermal management Y1 - 2021 UR - https://doi.org/10.1016/j.est.2021.103274 SN - 2352-1538 VL - 2021 IS - 44, Part A PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Gerngroß, Martin A1 - Kohler, Markus A1 - Endisch, Christian A1 - Kennel, Ralph T1 - Model-based control of nonlinear wire tension in dynamic needle winding processes T2 - Proceedings, 2020 IEEE International Conference on Industrial Technology UR - https://doi.org/10.1109/ICIT45562.2020.9067168 Y1 - 2020 UR - https://doi.org/10.1109/ICIT45562.2020.9067168 SN - 978-1-7281-5754-2 SP - 381 EP - 388 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Herrmann, Patrick A1 - Gerngroß, Martin A1 - Endisch, Christian T1 - Benefits of numerical optimization and CAD/CAM in needle winding processes T2 - Proceedings, 2019 IEEE International Conference on Mechatronics (ICM) UR - https://doi.org/10.1109/ICMECH.2019.8722940 KW - needle winding technology KW - trajectory planning KW - automated trajectory generation KW - CAD/CAM KW - numerical optimization Y1 - 2019 UR - https://doi.org/10.1109/ICMECH.2019.8722940 SN - 978-1-5386-6959-4 SP - 301 EP - 307 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Kleiner, Jan A1 - Stuckenberger, Magdalena A1 - Komsiyska, Lidiya A1 - Endisch, Christian T1 - Real-time core temperature prediction of prismatic automotive lithium-ion battery cells based on artificial neural networks JF - Journal of Energy Storage UR - https://doi.org/10.1016/j.est.2021.102588 KW - Lithium-ion battery KW - Battery modeling KW - Electro-thermal model KW - Thermal model KW - Neural network KW - Real-time application Y1 - 2021 UR - https://doi.org/10.1016/j.est.2021.102588 SN - 2352-1538 VL - 2021 IS - 39 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Mayer, Sebastian A1 - Endisch, Christian T1 - Adaptive production control in a modular assembly system based on partial look-ahead scheduling T2 - Proceedings, 2019 IEEE International Conference on Mechatronics (ICM) UR - https://doi.org/10.1109/ICMECH.2019.8722904 KW - scheduling KW - production control KW - production planning KW - modular assembly system KW - automated guided vehicles KW - cyber-physical systems KW - intelligent manufacturing KW - genetic algorithm Y1 - 2019 UR - https://doi.org/10.1109/ICMECH.2019.8722904 SN - 978-1-5386-6959-4 SP - 293 EP - 300 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Mayer, Sebastian A1 - Höhme, Nikolas A1 - Gankin, Dennis A1 - Endisch, Christian T1 - Adaptive Production Control in a Modular Assembly System – Towards an Agent-based Approach T2 - Proceedings, 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) UR - https://doi.org/10.1109/INDIN41052.2019.8972152 KW - intelligent manufacturing KW - scheduling KW - production control KW - multi-agent system KW - modular assembly system KW - automated guided vehicles Y1 - 2020 UR - https://doi.org/10.1109/INDIN41052.2019.8972152 SN - 978-1-7281-2927-3 SP - 45 EP - 52 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Schmid, Michael A1 - Gebauer, Emanuel A1 - Endisch, Christian T1 - Structural analysis in reconfigurable battery systems for active fault diagnosis JF - IEEE Transactions on Power Electronics UR - https://doi.org/10.1109/TPEL.2021.3049573 KW - Active fault diagnosis KW - electrothermal battery model KW - minimal sensor set KW - reconfigurable battery KW - structural analysis Y1 - 2021 UR - https://doi.org/10.1109/TPEL.2021.3049573 SN - 1941-0107 VL - 36 IS - 8 SP - 8672 EP - 8684 PB - IEEE CY - New York ER - TY - CHAP A1 - Kleiner, Jan A1 - Komsiyska, Lidiya A1 - Elger, Gordon A1 - Endisch, Christian T1 - Modelling of 3D temperature behavior of prismatic lithium-ion cell with focus on experimental validation under battery electric vehicle conditions T2 - 2019 25th International Workshop on Thermal Investigations of ICs and Systems (THERMINIC) UR - https://doi.org/10.1109/THERMINIC.2019.8923604 Y1 - 2019 UR - https://doi.org/10.1109/THERMINIC.2019.8923604 SN - 978-1-7281-2078-2 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Schmid, Michael A1 - Kleiner, Jan A1 - Endisch, Christian T1 - Early detection of Internal Short Circuits in series-connected battery packs based on nonlinear process monitoring JF - Journal of Energy Storage UR - https://doi.org/10.1016/j.est.2021.103732 KW - Lithium-ion battery KW - Internal Short Circuit KW - Fault diagnosis KW - Kernel Principal Component Analysis KW - Cell inconsistencies KW - Battery safety Y1 - 2022 UR - https://doi.org/10.1016/j.est.2021.103732 SN - 2352-1538 VL - 2022 IS - 48 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Rufino Júnior, Carlos Antônio A1 - Riva Sanseverino, Eleonora A1 - Gallo, Pierluigi A1 - Koch, Daniel A1 - Schweiger, Hans-Georg A1 - Zanin, Hudson T1 - Blockchain review for battery supply chain monitoring and battery trading JF - Renewable and Sustainable Energy Reviews UR - https://doi.org/10.1016/j.rser.2022.112078 KW - Second use KW - Reuse KW - Lithium-ion batteries KW - Second-life batteries KW - Blockchain KW - Electric vehicles KW - Supply chain Y1 - 2022 UR - https://doi.org/10.1016/j.rser.2022.112078 SN - 1879-0690 N1 - Corrigendum verfügbar unter https://doi.org/10.1016/j.rser.2023.113844 VL - 2022 IS - 157 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Mayer, Sebastian A1 - Gankin, Dennis A1 - Arnet, Christian A1 - Endisch, Christian T1 - Adaptive production control with negotiating agents in modular assembly systems T2 - 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) UR - https://doi.org/10.1109/SMC.2019.8914498 KW - multi-agent system KW - negotiation-based coordination KW - intelligent manufacturing KW - production scheduling KW - production control KW - modular assembly system Y1 - 2019 UR - https://doi.org/10.1109/SMC.2019.8914498 SN - 978-1-7281-4569-3 SP - 120 EP - 127 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Mayer, Sebastian A1 - Arnet, Christian A1 - Gankin, Dennis A1 - Endisch, Christian T1 - Standardized framework for evaluating centralized and decentralized control systems in modular assembly systems T2 - 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) UR - https://doi.org/10.1109/SMC.2019.8914314 KW - virtual commissioning KW - cyber-physical production system KW - digital manufacturing KW - scheduling KW - production control KW - multi-agent system KW - modular assembly system Y1 - 2019 UR - https://doi.org/10.1109/SMC.2019.8914314 SN - 978-1-7281-4569-3 SP - 113 EP - 119 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Neumeier, Marion A1 - Botsch, Michael A1 - Tollkühn, Andreas A1 - Berberich, Thomas T1 - Variational Autoencoder-Based Vehicle Trajectory Prediction with an Interpretable Latent Space T2 - 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) UR - https://doi.org/10.1109/ITSC48978.2021.9565120 Y1 - 2021 UR - https://doi.org/10.1109/ITSC48978.2021.9565120 SN - 978-1-7281-9142-3 SP - 820 EP - 827 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Gallitz, Oliver A1 - de Candido, Oliver A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Interpretable Early Prediction of Lane Changes Using a Constrained Neural Network Architecture T2 - 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) UR - https://doi.org/10.1109/ITSC48978.2021.9564555 Y1 - 2021 UR - https://doi.org/10.1109/ITSC48978.2021.9564555 SN - 978-1-7281-9142-3 SP - 493 EP - 499 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Okon, Michael A1 - Opferkuch, Johannes A1 - Endisch, Christian T1 - Modular gear transmission model for analyzing production tolerances in electric drivetrains T2 - Proceedings, 2020 IEEE International Conference on Industrial Technology UR - https://doi.org/10.1109/ICIT45562.2020.9067240 KW - electric drivetrain modeling KW - multidomain simulation KW - modular gear transmission model KW - gear mesh dynamics Y1 - 2020 UR - https://doi.org/10.1109/ICIT45562.2020.9067240 SN - 978-1-7281-5754-2 SP - 709 EP - 716 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Koval, Leonid A1 - Pfaller, Daniel A1 - Bilal, Mühenad A1 - Bregulla, Markus A1 - Cupek, Rafal T1 - An analysis of convolutional neural network models for classifying machine tools T2 - Advances in Computational Collective Intelligence UR - https://doi.org/10.1007/978-3-030-88113-9_37 KW - image classification KW - domain relevance KW - F1-score KW - confusion-matrix KW - machine tools Y1 - 2021 UR - https://doi.org/10.1007/978-3-030-88113-9_37 SN - 978-3-030-88112-2 SN - 978-3-030-88113-9 SN - 1865-0929 SN - 1865-0937 SP - 461 EP - 473 PB - Springer CY - Cham ER - TY - CHAP A1 - Gallitz, Oliver A1 - de Candido, Oliver A1 - Botsch, Michael A1 - Melz, Ron A1 - Utschick, Wolfgang T1 - Interpretable Machine Learning Structure for an Early Prediction of Lane Changes T2 - Artificial Neural Networks and Machine Learning – ICANN 2020: 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part I UR - https://doi.org/10.1007/978-3-030-61609-0_27 KW - Interpretability KW - Early prediction KW - Autonomous driving Y1 - 2020 UR - https://doi.org/10.1007/978-3-030-61609-0_27 SN - 978-3-030-61609-0 SN - 978-3-030-61608-3 SP - 337 EP - 349 PB - Springer CY - Cham ER - TY - CHAP A1 - Wurst, Jonas A1 - Flores Fernandez, Alberto A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - An Entropy Based Outlier Score and its Application to Novelty Detection for Road Infrastructure Images T2 - 2020 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IV47402.2020.9304733 Y1 - 2021 UR - https://doi.org/10.1109/IV47402.2020.9304733 SN - 978-1-7281-6673-5 SP - 1436 EP - 1443 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Kruber, Friedrich A1 - Sánchez Morales, Eduardo A1 - Chakraborty, Samarjit A1 - Botsch, Michael T1 - Vehicle Position Estimation with Aerial Imagery from Unmanned Aerial Vehicles T2 - 2020 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IV47402.2020.9304794 Y1 - 2021 UR - https://doi.org/10.1109/IV47402.2020.9304794 SN - 978-1-7281-6673-5 SP - 2089 EP - 2096 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Sánchez Morales, Eduardo A1 - Kruber, Friedrich A1 - Botsch, Michael A1 - Huber, Bertold A1 - García Higuera, Andres T1 - Accuracy Characterization of the Vehicle State Estimation from Aerial Imagery T2 - 2020 IEEE Intelligent Vehicles Symposium (IV) UR - https://doi.org/10.1109/IV47402.2020.9304705 Y1 - 2021 UR - https://doi.org/10.1109/IV47402.2020.9304705 SN - 978-1-7281-6673-5 SP - 2081 EP - 2088 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Sedlmeier, Andreas A1 - Gabor, Thomas A1 - Phan, Thomy A1 - Belzner, Lenz T1 - Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning JF - Digitale Welt UR - https://doi.org/10.1007/s42354-019-0238-z Y1 - 2019 UR - https://doi.org/10.1007/s42354-019-0238-z SN - 2569-1996 VL - 4 IS - 1 SP - 74 EP - 78 PB - Digitale Welt Academy CY - München ER - TY - CHAP A1 - Phan, Thomy A1 - Schmid, Kyrill A1 - Belzner, Lenz A1 - Gabor, Thomas A1 - Feld, Sebastian A1 - Linnhoff-Popien, Claudia T1 - Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies T2 - AAMAS '19: Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems KW - multi-agent planning KW - multi-agent learning KW - policy iteration Y1 - 2019 UR - https://www.ifaamas.org/Proceedings/aamas2019/forms/contents.htm SN - 978-1-4503-6309-9 SP - 2162 EP - 2164 PB - International Foundation for Autonomous Agents and Multiagent Systems CY - Richland ER - TY - CHAP A1 - Marzahl, Christian A1 - Aubreville, Marc A1 - Voigt, Jörn A1 - Maier, Andreas T1 - Classification of leukemic b-lymphoblast cells from blood smear microscopic images with an attention-based deep learning method and advanced augmentation techniques T2 - ISBI 2019 C-NMC challenge: classification in cancer cell imaging UR - https://doi.org/10.1007/978-981-15-0798-4_2 Y1 - 2019 UR - https://doi.org/10.1007/978-981-15-0798-4_2 SN - 978-981-15-0797-7 SN - 978-981-15-0798-4 SN - 978-981-15-0800-4 SN - 2195-271X SN - 2195-2728 SP - 13 EP - 22 PB - Springer CY - Singapore ER - TY - JOUR A1 - Pirkl, Carolin A1 - Cencini, Matteo A1 - Kurzawski, Jan W. A1 - Waldmannstetter, Diana A1 - Li, Hongwei A1 - Menzel, Marion Irene T1 - Learning residual motion correction for fast and robust 3D multiparametric MRI JF - Medical Image Analysis N2 - Voluntary and involuntary patient motion is a major problem for data quality in clinical routine of Magnetic Resonance Imaging (MRI). It has been thoroughly investigated and, yet it still remains unresolved. In quantitative MRI, motion artifacts impair the entire temporal evolution of the magnetization and cause errors in parameter estimation. Here, we present a novel strategy based on residual learning for retrospective motion correction in fast 3D whole-brain multiparametric MRI. We propose a 3D multiscale convolutional neural network (CNN) that learns the non-linear relationship between the motion-affected quantitative parameter maps and the residual error to their motion-free reference. For supervised model training, despite limited data availability, we propose a physics-informed simulation to generate self-contained paired datasets from a priori motion-free data. We evaluate motion-correction performance of the proposed method for the example of 3D Quantitative Transient-state Imaging at 1.5T and 3T. We show the robustness of the motion correction for various motion regimes and demonstrate the generalization capabilities of the residual CNN in terms of real-motion in vivo data of healthy volunteers and clinical patient cases, including pediatric and adult patients with large brain lesions. Our study demonstrates that the proposed motion correction outperforms current state of the art, reliably providing a high, clinically relevant image quality for mild to pronounced patient movements. This has important implications in clinical setups where large amounts of motion affected data must be discarded as they are rendered diagnostically unusable. UR - https://doi.org/10.1016/j.media.2022.102387 KW - Multiparametric MRI KW - 3D Motion correction KW - Residual learning KW - Multiscale CNN Y1 - 2022 UR - https://doi.org/10.1016/j.media.2022.102387 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13861 SN - 1361-8423 VL - 2022 IS - 77 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Nan, Yang A1 - Del Ser, Javier A1 - Walsh, Simon A1 - Schönlieb, Carola A1 - Roberts, Michael A1 - Selby, Ian A1 - Howard, Kit A1 - Owen, John A1 - Neville, Jon A1 - Guiot, Julien A1 - Ernst, Benoit A1 - Pastor, Ana A1 - Alberich-Bayarri, Angel A1 - Menzel, Marion Irene A1 - Walsh, Sean A1 - Vos, Wim A1 - Flerin, Nina A1 - Charbonnier, Jean-Paul A1 - Rikxoort, Eva van A1 - Chatterjee, Avishek A1 - Woodruff, Henry A1 - Lambin, Philippe A1 - Cerdá-Alberich, Leonor A1 - Martí-Bonmatí, Luis A1 - Herrera, Francisco A1 - Yang, Guang T1 - Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions JF - Information Fusion N2 - Removing the bias and variance of multicentre data has always been a challenge in large scale digital healthcare studies, which requires the ability to integrate clinical features extracted from data acquired by different scanners and protocols to improve stability and robustness. Previous studies have described various computational approaches to fuse single modality multicentre datasets. However, these surveys rarely focused on evaluation metrics and lacked a checklist for computational data harmonisation studies. In this systematic review, we summarise the computational data harmonisation approaches for multi-modality data in the digital healthcare field, including harmonisation strategies and evaluation metrics based on different theories. In addition, a comprehensive checklist that summarises common practices for data harmonisation studies is proposed to guide researchers to report their research findings more effectively. Last but not least, flowcharts presenting possible ways for methodology and metric selection are proposed and the limitations of different methods have been surveyed for future research UR - https://doi.org/10.1016/j.inffus.2022.01.001 KW - Information fusion KW - data harmonisation KW - data standardisation KW - domain adaptation KW - reproducibility Y1 - 2022 UR - https://doi.org/10.1016/j.inffus.2022.01.001 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13845 SN - 1566-2535 VL - 2022 IS - 82 SP - 99 EP - 122 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Aubreville, Marc A1 - Bertram, Christof A1 - Klopfleisch, Robert A1 - Maier, Andreas ED - Handels, Heinz ED - Deserno, Thomas Martin ED - Maier, Andreas ED - Maier-Hein, Klaus H. ED - Palm, Christoph ED - Tolxdorff, Thomas T1 - Augmented mitotic cell count using field of interest proposal T2 - Bildverarbeitung für die Medizin 2019, Algorithmen – Systeme – Anwendungen, Proceedings des Workshops vom 17. bis 19. März 2019 in Lübeck UR - https://doi.org/10.1007/978-3-658-25326-4_71 Y1 - 2019 UR - https://doi.org/10.1007/978-3-658-25326-4_71 SN - 978-3-658-25325-7 SN - 978-3-658-25326-4 N1 - Access to this content is enabled by Nationallizenz Ebooks Medicine SP - 321 EP - 326 PB - Springer Vieweg CY - Wiesbaden ER - TY - CHAP A1 - Aubreville, Marc A1 - Goncalves, Miguel A1 - Knipfer, Christian A1 - Oetter, Nicolai A1 - Würfl, Tobias A1 - Neumann, Helmut A1 - Stelzle, Florian A1 - Bohr, Christopher A1 - Maier, Andreas T1 - Transferability of deep learning algorithms for malignancy detection in confocal laser endomicroscopy images from different anatomical locations of the upper gastrointestinal tract T2 - Biomedical Engineering Systems and Technologies UR - https://doi.org/10.1007/978-3-030-29196-9_4 KW - Confocal Laser Endomicroscopy KW - Transfer learning KW - Head and neck squamous cell carcinoma Y1 - 2019 UR - https://doi.org/10.1007/978-3-030-29196-9_4 SN - 978-3-030-29195-2 SN - 978-3-030-29196-9 SN - 1865-0929 N1 - Access to this content is enabled by Nationallizenz Ebooks Medicine SP - 67 EP - 85 PB - Springer CY - Cham ER - TY - CHAP A1 - Marzahl, Christian A1 - Aubreville, Marc A1 - Bertram, Christof A1 - Gerlach, Stefan A1 - Maier, Jennifer A1 - Voigt, Jörn A1 - Hill, Jenny A1 - Klopfleisch, Robert A1 - Maier, Andreas ED - Tolxdorff, Thomas ED - Deserno, Thomas Martin ED - Handels, Heinz ED - Maier, Andreas ED - Maier-Hein, Klaus H. ED - Palm, Christoph T1 - Is crowd-algorithm collaboration an advanced alternative to crowd-sourcing on cytology slides? T2 - Bildverarbeitung für die Medizin 2020, Algorithmen – Systeme – Anwendungen. Proceedings des Workshops vom 15. bis 17. März 2020 in Berlin UR - https://doi.org/10.1007/978-3-658-29267-6_5 Y1 - 2020 UR - https://doi.org/10.1007/978-3-658-29267-6_5 SN - 978-3-658-29266-9 SN - 978-3-658-29267-6 N1 - Access to this content is enabled by Nationallizenz Ebooks Medicine SP - 26 EP - 31 PB - Springer Vieweg CY - Wiesbaden ER - TY - CHAP A1 - Aubreville, Marc A1 - Bertram, Christof A1 - Jabari, Samir A1 - Marzahl, Christian A1 - Klopfleisch, Robert A1 - Maier, Andreas ED - Tolxdorff, Thomas ED - Deserno, Thomas Martin ED - Handels, Heinz ED - Maier, Andreas ED - Maier-Hein, Klaus H. ED - Palm, Christoph T1 - Inter-species, inter-tissue domain adaptation for mitotic figure assessment BT - learning new tricks from old dogs T2 - Bildverarbeitung für die Medizin 2020, Algorithmen – Systeme – Anwendungen. Proceedings des Workshops vom 15. bis 17. März 2020 in Berlin UR - https://doi.org/10.1007/978-3-658-29267-6_1 Y1 - 2020 UR - https://doi.org/10.1007/978-3-658-29267-6_1 SN - 978-3-658-29266-9 SN - 978-3-658-29267-6 N1 - Access to this content is enabled by Nationallizenz Ebooks Medicine SP - 1 EP - 7 PB - Springer Vieweg CY - Wiesbaden ER - TY - CHAP A1 - Hahn, Carsten A1 - Phan, Thomy A1 - Gabor, Thomas A1 - Belzner, Lenz A1 - Linnhoff-Popien, Claudia T1 - Emergent Escape-based Flocking behavior using Multi-Agent Reinforcement Learning T2 - Artificial Life Conference Proceedings UR - https://doi.org/10.1162/isal_a_00226 Y1 - 2019 UR - https://doi.org/10.1162/isal_a_00226 SP - 598 EP - 605 PB - MIT Press CY - Cambridge ER - TY - CHAP A1 - Gabor, Thomas A1 - Illium, Steffen A1 - Mattausch, Andy A1 - Belzner, Lenz A1 - Linnhoff-Popien, Claudia T1 - Self-Replication in Neural Networks T2 - Artificial Life Conference Proceedings UR - https://doi.org/10.1162/isal_a_00197 Y1 - 2019 UR - https://doi.org/10.1162/isal_a_00197 SP - 424 EP - 431 PB - MIT Press CY - Cambridge ER - TY - CHAP A1 - Phan, Thomy A1 - Belzner, Lenz A1 - Kiermeier, Marie A1 - Friedrich, Markus A1 - Schmid, Kyrill A1 - Linnhoff-Popien, Claudia T1 - Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling T2 - AAAI-19 / IAAI-19 / EAAI-20 Proceedings UR - https://doi.org/10.1609/aaai.v33i01.33017941 Y1 - 2019 UR - https://doi.org/10.1609/aaai.v33i01.33017941 SN - 2374-3468 VL - 33 IS - 1 SP - 7941 EP - 7948 PB - AAAI Press CY - Palo Alto ER - TY - CHAP A1 - Feld, Sebastian A1 - Sedlmeier, Andreas A1 - Friedrich, Markus A1 - Franz, Jan A1 - Belzner, Lenz T1 - Bayesian Surprise in Indoor Environments T2 - SIGSPATIAL '19: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems UR - https://doi.org/10.1145/3347146.3359358 KW - Bayesian Surprise KW - Novelty KW - Salience KW - Isovist Analysis KW - Indoor Location- Based Service KW - Indoor LBS KW - Indoor Navigation KW - Trajectory Characterization Y1 - 2019 UR - https://doi.org/10.1145/3347146.3359358 SN - 978-1-4503-6909-1 PB - ACM CY - New York ER - TY - JOUR A1 - Posor, Jorrit Enzio A1 - Belzner, Lenz A1 - Knapp, Alexander T1 - Joint Action Learning for Multi-Agent Cooperation using Recurrent Reinforcement Learning JF - Digitale Welt UR - https://doi.org/10.1007/s42354-019-0239-y Y1 - 2019 UR - https://doi.org/10.1007/s42354-019-0239-y SN - 2569-1996 VL - 4 IS - 1 SP - 79 EP - 84 PB - Digitale Welt Academy CY - München ER - TY - CHAP A1 - Gabor, Thomas A1 - Sünkel, Leo A1 - Ritz, Fabian A1 - Phan, Thomy A1 - Belzner, Lenz A1 - Roch, Christoph A1 - Feld, Sebastian A1 - Linnhoff-Popien, Claudia T1 - The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline T2 - ICSEW'20 : Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops UR - https://doi.org/10.1145/3387940.3391469 KW - quantum computing KW - artificial intelligence KW - software engineering Y1 - 2020 UR - https://doi.org/10.1145/3387940.3391469 SN - 978-1-4503-7963-2 SP - 456 EP - 461 PB - ACM CY - New York ER - TY - JOUR A1 - Gabor, Thomas A1 - Sedlmeier, Andreas A1 - Phan, Thomy A1 - Ritz, Fabian A1 - Kiermeier, Marie A1 - Belzner, Lenz A1 - Kempter, Bernhard A1 - Klein, Cornel A1 - Sauer, Horst A1 - Schmid, Reiner A1 - Wieghardt, Jan A1 - Zeller, Marc A1 - Linnhoff-Popien, Claudia T1 - The scenario coevolution paradigm BT - adaptive quality assurance for adaptive systems JF - International Journal on Software Tools for Technology Transfer N2 - Systems are becoming increasingly more adaptive, using techniques like machine learning to enhance their behavior on their own rather than only through human developers programming them. We analyze the impact the advent of these new techniques has on the discipline of rigorous software engineering, especially on the issue of quality assurance. To this end, we provide a general description of the processes related to machine learning and embed them into a formal framework for the analysis of adaptivity, recognizing that to test an adaptive system a new approach to adaptive testing is necessary. We introduce scenario coevolution as a design pattern describing how system and test can work as antagonists in the process of software evolution. While the general pattern applies to large-scale processes (including human developers further augmenting the system), we show all techniques on a smaller-scale example of an agent navigating a simple smart factory. We point out new aspects in software engineering for adaptive systems that may be tackled naturally using scenario coevolution. This work is a substantially extended take on Gabor et al. (International symposium on leveraging applications of formal methods, Springer, pp 137–154, 2018). UR - https://doi.org/10.1007/s10009-020-00560-5 Y1 - 2020 UR - https://doi.org/10.1007/s10009-020-00560-5 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13929 SN - 1433-2787 VL - 22 IS - 4 SP - 457 EP - 476 PB - Springer CY - Berlin ER - TY - CHAP A1 - Phan, Thomy A1 - Belzner, Lenz A1 - Gabor, Thomas A1 - Sedlmeier, Andreas A1 - Ritz, Fabian A1 - Linnhoff-Popien, Claudia T1 - Resilient multi-agent reinforcement learning with adversarial value decomposition T2 - AAAI-21 / IAAI-21 / EAAI-21 Proceedings UR - https://ojs.aaai.org/index.php/AAAI/article/view/17348 KW - Multiagent Learning KW - Adversarial Learning & Robustness KW - Adversarial Agents KW - Reinforcement Learning Y1 - 2021 UR - https://ojs.aaai.org/index.php/AAAI/article/view/17348 SN - 978-1-57735-866-4 SN - 2374-3468 VL - 35 IS - 13 SP - 11308 EP - 11316 PB - AAAI Press CY - Palo Alto (CA) ER - TY - JOUR A1 - Belzner, Lenz A1 - Wirsing, Martin T1 - Synthesizing safe policies under probabilistic constraints with reinforcement learning and Bayesian model checking JF - Science of Computer Programming UR - https://doi.org/10.1016/j.scico.2021.102620 KW - Policy synthesis KW - Constrained Markov decision process KW - Safe reinforcement learning KW - Bayesian model checking KW - Probabilistic constraints Y1 - 2021 UR - https://doi.org/10.1016/j.scico.2021.102620 SN - 0167-6423 VL - 2021 IS - 206 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Schmid, Kyrill A1 - Belzner, Lenz A1 - Müller, Robert A1 - Tochtermann, Johannes A1 - Linnhoff-Popien, Claudia T1 - Stochastic market games T2 - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence UR - https://doi.org/10.24963/ijcai.2021/54 Y1 - 2021 UR - https://doi.org/10.24963/ijcai.2021/54 SN - 978-0-9992411-9-6 SP - 384 EP - 390 PB - IJCAI CY - [s. l.] ER - TY - JOUR A1 - Pirkl, Carolin A1 - Nunez-Gonzalez, Laura A1 - Kofler, Florian A1 - Endt, Sebastian A1 - Grundl, Lioba A1 - Golbabaee, Mohammad A1 - Gómez, Pedro A. A1 - Cencini, Matteo A1 - Buonincontri, Guido A1 - Schulte, Rolf F. A1 - Smits, Marion A1 - Wiestler, Benedikt A1 - Menze, Bjoern H. A1 - Menzel, Marion Irene A1 - Hernandez-Tamames, Juan A. T1 - Accelerated 3D whole-brain T1, T2, and proton density mapping BT - feasibility for clinical glioma MR imaging JF - Neuroradiology N2 - Purpose: Advanced MRI-based biomarkers offer comprehensive and quantitative information for the evaluation and characterization of brain tumors. In this study, we report initial clinical experience in routine glioma imaging with a novel, fully 3D multiparametric quantitative transient-state imaging (QTI) method for tissue characterization based on T1 and T2 values. Methods: To demonstrate the viability of the proposed 3D QTI technique, nine glioma patients (grade II–IV), with a variety of disease states and treatment histories, were included in this study. First, we investigated the feasibility of 3D QTI (6:25 min scan time) for its use in clinical routine imaging, focusing on image reconstruction, parameter estimation, and contrast-weighted image synthesis. Second, for an initial assessment of 3D QTI-based quantitative MR biomarkers, we performed a ROI-based analysis to characterize T1 and T2 components in tumor and peritumoral tissue. Results: The 3D acquisition combined with a compressed sensing reconstruction and neural network-based parameter inference produced parametric maps with high isotropic resolution (1.125 × 1.125 × 1.125 mm3 voxel size) and whole-brain coverage (22.5 × 22.5 × 22.5 cm3 FOV), enabling the synthesis of clinically relevant T1-weighted, T2-weighted, and FLAIR contrasts without any extra scan time. Our study revealed increased T1 and T2 values in tumor and peritumoral regions compared to contralateral white matter, good agreement with healthy volunteer data, and high inter-subject consistency. Conclusion: 3D QTI demonstrated comprehensive tissue assessment of tumor substructures captured in T1 and T2 parameters. Aiming for fast acquisition of quantitative MR biomarkers, 3D QTI has potential to improve disease characterization in brain tumor patients under tight clinical time-constraints. UR - https://doi.org/10.1007/s00234-021-02703-0 KW - MRI KW - Image-based biomarkers KW - Multiparametric imaging KW - Glioma imaging KW - Neural networks Y1 - 2021 UR - https://doi.org/10.1007/s00234-021-02703-0 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-13885 VL - 63 IS - 11 SP - 1831 EP - 1851 PB - Springer CY - Berlin ER - TY - CHAP A1 - Bertram, Christof A1 - Donovan, Taryn A1 - Tecilla, Marco A1 - Bartenschlager, Florian A1 - Fragoso-Garcia, Marco A1 - Wilm, Frauke A1 - Marzahl, Christian A1 - Breininger, Katharina A1 - Maier, Andreas A1 - Klopfleisch, Robert A1 - Aubreville, Marc T1 - Dataset on bi- and multi-nucleated tumor cells in canine cutaneous mast cell tumors T2 - Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7–9, 2021 UR - https://doi.org/10.1007/978-3-658-33198-6_33 Y1 - 2021 UR - https://doi.org/10.1007/978-3-658-33198-6_33 SN - 978-3-658-33197-9 SN - 978-3-658-33198-6 SN - 1431-472X SP - 134 EP - 139 PB - Springer Vieweg CY - Wiesbaden ER - TY - CHAP A1 - Schröter, H. A1 - Rosenkranz, Tobias A1 - Escalante-B, A. N. A1 - Aubreville, Marc A1 - Maier, Andreas T1 - CLCNET: deep learning-based noise reduction for hearing aids using complex linear coding T2 - ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) UR - https://doi.org/10.1109/ICASSP40776.2020.9053563 KW - noise reduction KW - speech enhancement KW - LPC KW - hearing aid signal processing KW - deep learning Y1 - 2020 UR - https://doi.org/10.1109/ICASSP40776.2020.9053563 SN - 978-1-5090-6631-5 SP - 6949 EP - 6953 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Marzahl, Christian A1 - Bertram, Christof A1 - Wilm, Frauke A1 - Voigt, Jörn A1 - Barton, Ann K. A1 - Klopfleisch, Robert A1 - Breininger, Katharina A1 - Maier, Andreas A1 - Aubreville, Marc T1 - Cell detection for asthma on partially annotated whole slide images BT - learning to be EXACT T2 - Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on Medical Image Computing, Regensburg, March 7–9, 2021 UR - https://doi.org/10.1007/978-3-658-33198-6_36 Y1 - 2021 UR - https://doi.org/10.1007/978-3-658-33198-6_36 SN - 978-3-658-33197-9 SN - 978-3-658-33198-6 SN - 1431-472X SP - 147 EP - 152 PB - Springer Vieweg CY - Wiesbaden ER - TY - JOUR A1 - Schwarz, Jan Oliver A1 - Wach, Bernhard T1 - The usage of cultural products in design thinking: An assessment of an underestimated approach JF - The Design Journal UR - https://doi.org/10.1080/14606925.2021.2005879 KW - design thinking KW - design research KW - cultural products KW - customers KW - ethnography Y1 - 2022 UR - https://doi.org/10.1080/14606925.2021.2005879 SN - 1460-6925 SN - 1756-3062 VL - 25 IS - 1 SP - 4 EP - 24 PB - Taylor & Francis CY - London ER - TY - CHAP A1 - de Candido, Oliver A1 - Koller, Michael A1 - Gallitz, Oliver A1 - Melz, Ron A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Towards feature validation in time to lane change classification using deep neural networks T2 - 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) UR - https://doi.org/10.1109/ITSC45102.2020.9294555 KW - Feature extraction KW - Convolution KW - Computer architecture KW - Road transportation KW - Standards KW - Machine learning algorithms KW - Acceleration Y1 - 2020 UR - https://doi.org/10.1109/ITSC45102.2020.9294555 SN - 978-1-7281-4149-7 PB - IEEE CY - Piscataway ER - TY - BOOK A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Fahrzeugsicherheit und automatisiertes Fahren BT - Methoden der Signalverarbeitung und des maschinellen Lernens UR - https://doi.org/10.3139/9783446468047 Y1 - 2020 UR - https://doi.org/10.3139/9783446468047 SN - 978-3-446-46804-7 SN - 978-3-446-45326-5 PB - Hanser CY - München ER - TY - CHAP A1 - Gallitz, Oliver A1 - de Candido, Oliver A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Interpretable feature generation using deep neural networks and its application to lane change detection T2 - 2019 IEEE Intelligent Transportation Systems Conference (ITSC) UR - https://doi.org/10.1109/ITSC.2019.8917524 KW - Time series analysis KW - Kernel KW - Convolution KW - Feature extraction KW - Finite impulse response filters KW - Neural networks KW - Heating systems Y1 - 2019 UR - https://doi.org/10.1109/ITSC.2019.8917524 SN - 978-1-5386-7024-8 SP - 3405 EP - 3411 PB - IEEE CY - Piscataway ER -