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Deep learning based automated left ventricle segmentation and flow quantification in 4D flow cardiac MRI2024 Journal of Cardiovascular Magnetic Resonance article Computer Science Medical Image Segmentation Techniques Open access
Xiaowu Sun, Li‐Hsin Cheng, Sven Plein, Pankaj Kumar Garg, Rob J. van der Geest
28citations -
Advancing Network Monitoring with Packet-Level Records and Selective Flow Aggregation2025 IEEE Network Operations and Management Symposium (NOMS) conference-paper Computer Science Network Packet Processing and Optimization
Ina Berenice Fink, Ike Kunze, Pascal Hein, Jan Pennekamp, Benjamin Standaert, Klaus Wehrle, +1 more
4citations -
A Control Flow based Static Analysis of GRAFCET using Abstract Interpretation2023 2022 IEEE 20th International Conference on Industrial Informatics (INDIN) conference-paper Computer Science Logic, programming, and type systems
Aron Schnakenbeck, Robin Mroß, Marcus Völker, Stefan Kowalewski, Alexander Fay
4citations -
Brightening the Optical Flow through Posit Arithmetic2021 International Symposium on Quality Electronic Design (ISQED) conference-paper Computer Science Numerical Methods and Algorithms Open access
Vinay Saxena, Ankitha Reddy, Jonathan Neudorfer, John Leroy Gustafson, Sangeeth Nambiar, Rainer Leupers, +1 more
11citations -
Optimization of Movement Detection Using Optical Flow for Automatic Assembly Instruction Generation2025 Lecture notes in production engineering conference-paper Computer Science Video Surveillance and Tracking Methods
Peter Burggräf, Carl René Sauer, Maximilian Schütz, Luis A. Curiel-Ramirez, Florian Bröhl
0citations -
Low-Rate Overuse Flow Tracer (LOFT): An Efficient and Scalable Algorithm for Detecting Overuse Flows2021 Proceedings/Proceedings - Symposium on Reliable Distributed Systems conference-paper Computer Science Network Packet Processing and Optimization Open access
Simon Scherrer, Che-Yu Wu, Yu-Hsi Chiang, Benjamin Rothenberger, Daniele E. Asoni, Arish Sateesan, +4 more
1citations -
QFlow: Quantitative Information Flow for Security-Aware Hardware Design in Verilog2021 Proceedings, IEEE International Conference on Computer Design/Proceedings - IEEE International Conference on Computer Design conference-paper Computer Science Security and Verification in Computing Open access
Lennart M. Reimann, Luca Hanel, Dominik Šišejković, Farhad Merchant, Rainer Leupers
26citations -
QTFlow: Quantitative Timing-Sensitive Information Flow for Security-Aware Hardware Design on RTL2024 International VLSI Symposium on Technology, Systems and Applications (VLSI-TSA) conference-paper Computer Science Physical Unclonable Functions (PUFs) and Hardware Security
Lennart M. Reimann, Anschul Prashar, Chiara Ghinami, Rebecca Pelke, Dominik Šišejković, Farhad Merchant, +1 more
5citations -
QTFlow: Quantitative Timing-Sensitive Information Flow for Security-Aware Hardware Design on RTL2024 arXiv (Cornell University) preprint Computer Science Physical Unclonable Functions (PUFs) and Hardware Security Open access
Lennart M. Reimann, Anschul Prashar, Chiara Ghinami, Rebecca Pelke, Dominik Šišejković, Farhad Merchant, +1 more
0citations -
Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching2025 neural information processing systems conference-paper Computer Science Anomaly Detection Techniques and Applications Open access
Zhong Li, Qi Zhong Huang, Yuxuan Zhu, Lincen Yang, Bas van Stein, Matthijs van Leeuwen
0citations -
Quantitative Information Flow for Hardware: Advancing the Attack Landscape2023 IEEE Latin America Symposium on Circuits and Systems (LASCAS) conference-paper Computer Science Physical Unclonable Functions (PUFs) and Hardware Security
Lennart M. Reimann, Sarp Erdönmez, Dominik Šišejković, Rainer Leupers
6citations