191 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- 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
15 papers · 1 filter
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…
Eigenstate Thermalization in 1+1-Dimensional SU(2) Lattice Gauge Theory Coupled with Dynamical Fermions
Diptarka Das, Lukas Ebner, Saurabh V. Kadam +3
We test the eigenstate thermalization hypothesis (ETH) in 1+1-dimensional SU(2) lattice gauge theory (LGT) with one flavor of dynamical fermions. Using the loop-string-hadron frame…
Predict and Conquer: Navigating Algorithm Trade-offs with Quantum Design Automation
Simon Thelen, Wolfgang Mauerer
Combining quantum computers with classical compute power has become a standard means for developing algorithms that are eventually supposed to beat any purely classical alternative…
Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge
Tobias Rueckert, David Rauber, Raphaela Maerkl +58
Reliable recognition and localization of surgical instruments in endoscopic video recordings are foundational for a wide range of applications in computer- and robot-assisted minim…
CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting
Maniraman Periyasamy, Christian Ufrecht, Daniel D. Scherer +1
Whether QML can offer a transformative advantage remains an open question. The severe constraints of NISQ hardware, particularly in circuit depth and connectivity, hinder both the…
QML Essentials -- A framework for working with Quantum Fourier Models
Melvin Strobl, Maja Franz, Eileen Kuehn +2
In this work, we propose a framework in the form of a Python package, specifically designed for the analysis of Quantum Machine Learning models. This framework is based on the Penn…
Make Some Noise! Measuring Noise Model Quality in Real-World Quantum Software
Stefan Raimund Maschek, Jürgen Schwitalla, Maja Franz +1
Noise and imperfections are among the prevalent challenges in quantum software engineering for current NISQ systems. They will remain important in the post-NISQ area, as logical, e…
SAT Strikes Back: Parameter and Path Relations in Quantum Toolchains
Lukas Schmidbauer, Wolfgang Mauerer
In the foreseeable future, toolchains for quantum computing should offer automatic means of transforming a high level problem formulation down to a hardware executable form. Thereb…
From Hope to Heuristic: Realistic Runtime Estimates for Quantum Optimisation in NHEP
Maja Franz, Manuel Schönberger, Melvin Strobl +5
Noisy Intermediate-Scale Quantum (NISQ) computers, despite their limitations, present opportunities for near-term quantum advantages in Nuclear and High-Energy Physics (NHEP) when…
Path Matters: Industrial Data Meet Quantum Optimization
Lukas Schmidbauer, Carlos A. Riofrío, Florian Heinrich +4
Real-world optimization problems must undergo a series of transformations before becoming solvable on current quantum hardware. Even for a fixed problem, the number of possible tra…
Political Biases on X before the 2025 German Federal Election
Tabia Tanzin Prama, Chhandak Bagchi, Vishal Kalakonnavar +2
This study examines whether German X users would see politically balanced news feeds if they followed comparable leading politicians from each federal parliamentary party of German…
Magnetically induced deformation of isotropic magneto-active elastomers and its relation to the magnetorheological effect
Mehran Roghani, Dirk Romeis, Gašper Glavan +3
Can isotropic Magneto-Active Elastomers (MAEs) undergo giant magnetically induced deformations and exhibit huge magnetorheological effects simultaneously? In this experimental and…