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2020 – today
- 2024
[c12]Fabian Hörst
, Sajad H. Schaheer, Giulia Baldini, Fin Hendrik Bahnsen, Jan Egger, Jens Kleesiek:
Accelerating Artificial Intelligence-based Whole Slide Image Analysis with an Optimized Preprocessing Pipeline. Bildverarbeitung für die Medizin 2024: 356-361- [c11]Lukas Heine, Fabian Hörst, Enrico Nasca, Jens Siveke, Jan Egger, Moon S. Kim, Fin Hendrik Bahnsen, Jens Kleesiek:
Lean Study Host: Towards an Automated Pipeline for Multi-Center Study Hosting. HICSS 2024: 3235-3244 - [c10]Alexander Jaus, Constantin Seibold, Simon Reiß, Lukas Heine, Anton Schily, Moon S. Kim, Fin Hendrik Bahnsen, Ken Herrmann, Rainer Stiefelhagen, Jens Kleesiek:
Anatomy-Guided Pathology Segmentation. MICCAI (8) 2024: 3-13 - [i3]Alexander Jaus, Constantin Seibold, Simon Reiß, Lukas Heine, Anton Schily, Moon Kim, Fin Hendrik Bahnsen, Ken Herrmann, Rainer Stiefelhagen, Jens Kleesiek:
Anatomy-guided Pathology Segmentation. CoRR abs/2407.05844 (2024) - [i2]Lukas Heine, Fabian Hörst, Jana Fragemann, Gijs Luijten, Miriam Balzer, Jan Egger, Fin Hendrik Bahnsen, M. Saquib Sarfraz, Jens Kleesiek, Constantin Seibold:
Spacewalker: Traversing Representation Spaces for Fast Interactive Exploration and Annotation of Unstructured Data. CoRR abs/2409.16793 (2024) - 2023
- [c9]Fin Hendrik Bahnsen, Bernhard J. Berger, Görschwin Fey:
GLRP: Guided by Layer-wise Relevance Propagation - Selecting Crucial Neurons in Artificial Neural Networks. MOCAST 2023: 1-6 - [c8]Ole Lübke, Konrad Fuger, Fin Hendrik Bahnsen, Katrin Billerbeck, Sibylle Schupp:
Computer Aided Design and Grading for an Electronic Functional Programming Exam. TFPIE 2023: 22-44 - 2022
- [c7]Ahmad Al-Zoubi, Gianluca Martino, Fin Hendrik Bahnsen, Jun Zhu, Holger Schlarb, Görschwin Fey:
CNN Implementation and Analysis on Xilinx Versal ACAP at European XFEL. SOCC 2022: 1-6 - 2021
- [c6]Lutz Schammer, Swantje Plambeck, Fin Hendrik Bahnsen, Görschwin Fey:
Learning Models of Cyber-Physical Systems using Automata Learning. COMPSAC 2021: 1224-1229 - [c5]Fin Hendrik Bahnsen, Jan Kaiser, Görschwin Fey:
Designing Recurrent Neural Networks for Monitoring Embedded Devices. ETS 2021: 1-4 - [c4]Fin Hendrik Bahnsen, Görschwin Fey:
YAPS - Your Open Examination System for Activating and emPowering Students. ICCSE 2021: 98-103 - [c3]Fin Hendrik Bahnsen, Vanessa Klebe, Görschwin Fey:
Effect Analysis of Low-Level Hardware Faults on Neural Networks using Emulated Inference. MOCAST 2021: 1-6 - [i1]Fin Hendrik Bahnsen, Görschwin Fey:
YAPS - Your Open Examination System for Activating and emPowering Students. CoRR abs/2105.06552 (2021)
2010 – 2019
- 2019
- [c2]Fin Hendrik Bahnsen, Görschwin Fey:
Local Monitoring of Embedded Applications and Devices using Artificial Neural Networks. DSD 2019: 485-491 - [c1]Fin Hendrik Bahnsen, Görschwin Fey:
Approximation of Neural Networks for Verification. MBMV 2019: 1-10
Coauthor Index
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