191 citations
- Siemens (Germany)DE16 papers
- University of RegensburgDE14 papers
- Institute for Information RecordingUA4 papers
- Karlsruhe Institute of TechnologyDE4 papers
- National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”UA4 papers
- Technical University of MunichDE4 papers
- University Hospital RegensburgDE4 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE3 papers
- Fraunhofer Institute for Integrated CircuitsDE3 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE3 papers
- Institute of PhysicsPL3 papers
- Ludwig-Maximilians-Universität MünchenDE3 papers
70 papers
Energy-Efficient CNN Acceleration with MSDF Digit-Serial Arithmetic on FPGA
Muhammad Usman, Yousef Sadegheih, Dorit Merhof
This paper presents an energy-efficient hardware acceleration of the convolutional layers in the U-Net architecture for image segmentation, implemented on FPGA. While digit-serial…
SiMiC: Context-Aware Silicon Microstructure Characterization Using Attention-Based Convolutional Neural Networks for Field-Emission Tip Analysis
Jing Jie Tan, Rupert Schreiner, Matthias Hausladen +8
Accurate characterization of silicon microstructures is essential for advancing microscale fabrication, quality control, and device performance. Traditional analysis using Scanning…
The MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024: Efficient and Robust Aggregation Methods for Federated Learning
Akis Linardos, Sarthak Pati, Ujjwal Baid +25
We present the design and results of the MICCAI Federated Tumor Segmentation (FeTS) Challenge 2024, which focuses on federated learning (FL) for glioma sub-region segmentation in m…
Med-VCD: Mitigating Hallucination for Medical Large Vision Language Models through Visual Contrastive Decoding
Zahra Mahdavi, Zahra Khodakaramimaghsoud, Hooman Khaloo +4
Large vision-language models (LVLMs) are now central to healthcare applications such as medical visual question answering and imaging report generation. Yet, these models remain vu…
Towards Quantum Software for Quantum Simulation
Maja Franz, Lukas Schmidbauer, Joshua Ammermann +2
Quantum simulation is a leading candidate for demonstrating practical quantum advantage over classical computation, as it is believed to provide exponentially more compute power th…
Learning Neural Parametric 3D Breast Shape Models for Metrical Surface Reconstruction From Monocular RGB Videos
Maximilian Weiherer, Antonia von Riedheim, Vanessa Brébant +2
We present a neural parametric 3D breast shape model and, based on this model, introduce a low-cost and accessible 3D surface reconstruction pipeline capable of recovering accurate…