469 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Universität HamburgDE61 papers
- Hamburg University of TechnologyDE26 papers
- University of LübeckDE9 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE8 papers
- Heidelberg UniversityDE7 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- InsermFR6 papers
- Radboud University Medical CenterNL6 papers
- Radboud University NijmegenNL6 papers
- Technical University of MunichDE6 papers
- Technische Universität DresdenDE6 papers
- Universitat Pompeu FabraES6 papers
86 papers
Active Visual Semantics: A large-scale MEG and eye-tracking dataset for understanding visual intelligence in action
Philip Sulewski, Carmen Amme, Peter König +2
Here we present the Active Visual Semantics (AVS) dataset, a large-scale collection of magnetoencephalography (MEG) and eye-tracking data recorded while five participants freely ex…
MOIS-SAM2: Exemplar-based Segment Anything Model 2 for multilesion interactive segmentation of neurofibromas in whole-body MRI
Georgii Kolokolnikov, Marie-Lena Schmalhofer, Sophie Goetz +5
Background and Objectives: Neurofibromatosis type 1 is a genetic disorder characterized by the development of numerous neurofibromas (NFs) throughout the body. Whole-body MRI (WB-M…
Learn2Reg 2024: New Benchmark Datasets Driving Progress on New Challenges
Lasse Hansen, Wiebke Heyer, Christoph Großbröhmer +51
Medical image registration is critical for clinical applications, and fair benchmarking of different methods is essential for monitoring ongoing progress in the field. To date, the…
Simulating Gadolinium-Induced Magnetic Field Variations for Temperature Sensing with Magneto-Mechanical Resonators
Jonas Faltinath, Miriam Schmitz, Fynn Foerger +2
Small-size magneto-mechanical resonators (MMR) represent an emerging class of passive, wireless sensors that combine a sensing functionality with a tracking option. The operation p…
Uncertainties of a Spherical Magnetic Field Camera
Fynn Foerger, Philip Suskin, Marija Boberg +3
Spherical harmonic expansions are well-established tools for estimating magnetic fields from surface measurements and are widely used in applications such as tomographic imaging, g…
The insertion of Neomycin cassette impairs maternal and social behaviors in Arc/Arg3.1 knock-out mice
Ana Dudas, Emilia Caire, Abdurahman Hassan a Kuku +14
The Neomycin resistance cassette (Neo+) is commonly inserted in the genome of mice to generate knock-out (KO) models. The effect of gene deletion on social behaviors in mice is con…
Real-Time 3D Magnetic Field Camera for a Spherical Volume
Fynn Foerger, Marija Boberg, Niklas Hackelberg +8
Accurate and efficient volumetric magnetic field measurements are essential for a wide range of applications. Conventional methods are often limited in terms of measurement speed a…
Natural Frequency Dependency of Magneto-Mechanical Resonators on Magnet Distance
Jonas Faltinath, Fabian Mohn, Fynn Foerger +2
The precise derivation of physical quantities like temperature or pressure at arbitrary locations is useful in numerous contexts, e.g. medical procedures or industrial process engi…
Anatomy-Informed Deep Learning and Radiomics for Automated Neurofibroma Segmentation in Whole-Body MRI
Georgii Kolokolnikov, Marie-Lena Schmalhofer, Lennart Well +4
Neurofibromatosis Type 1 is a genetic disorder characterized by the development of neurofibromas (NFs), which exhibit significant variability in size, morphology, and anatomical lo…
Wireless and passive pressure detection using magneto-mechanical resonances in process engineering
Timo Merbach, Felix Kexel, Jonas Faltinath +4
A custom-developed magneto-mechanical resonator (MMR) for wireless pressure measurement is investigated for potential applications in process engineering. The MMR sensor utilises c…
PISCO: Self-Supervised k-Space Regularization for Improved Neural Implicit k-Space Representations of Dynamic MRI
Veronika Spieker, Hannah Eichhorn, Wenqi Huang +9
Neural implicit k-space representations (NIK) have shown promising results for dynamic magnetic resonance imaging (MRI) at high temporal resolutions. Yet, reducing acquisition time…
Cluster-based human-in-the-loop strategy for improving machine learning-based circulating tumor cell detection in liquid biopsy
Hümeyra Husseini-Wüsthoff, Sabine Riethdorf, Andreas Schneeweiss +5
Detection and differentiation of circulating tumor cells (CTCs) and non-CTCs in blood draws of cancer patients pose multiple challenges. While the gold standard relies on tedious m…
CTARR: A fast and robust method for identifying anatomical regions on CT images via atlas registration
Thomas Buddenkotte, Roland Opfer, Julia Krüger +2
Medical image analysis tasks often focus on regions or structures located in a particular location within the patient's body. Often large parts of the image may not be of interest…
From Neuronal Packets to Thoughtseeds: A Hierarchical Model of Embodied Cognition in the Global Workspace
Prakash Chandra Kavi, Gorka Zamora-López, Daniel Ari Friedman
The emergence of cognition requires a framework that bridges evolutionary principles with neurocomputational mechanisms. This paper introduces the novel "thoughtseed" framework, pr…
Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts
Lisa Hemforth, Baptiste Couvy-Duchesne, Kevin De Matos +34
Incomplete Hippocampal Inversion (IHI), sometimes called hippocampal malrotation, is an atypical anatomical pattern of the hippocampus found in about 20% of the general population.…
Emergence and maintenance of modularity in neural networks with Hebbian and anti-Hebbian inhibitory STDP
Raphaël Bergoin, Alessandro Torcini, Gustavo Deco +2
The modular and hierarchical organization of the brain is believed to support the coexistence of segregated (specialization) and integrated (binding) information processes. A relev…
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge
Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew +55
Diffusion-weighted MRI (DWI) is essential for stroke diagnosis, treatment decisions, and prognosis. However, image and disease variability hinder the development of generalizable A…
A Modified da Vinci Surgical Instrument for OCE based Elasticity Estimation with Deep Learning
Maximilian Neidhardt, Robin Mieling, Sarah Latus +3
Robot-assisted surgery has advantages compared to conventional laparoscopic procedures, e.g., precise movement of the surgical instruments, improved dexterity, and high-resolution…
Equilibrium Model with Anisotropy for Model-Based Reconstruction in Magnetic Particle Imaging
Marco Maass, Tobias Kluth, Christine Droigk +4
Magnetic particle imaging is a tracer-based tomographic imaging technique that allows the concentration of magnetic nanoparticles to be determined with high spatio-temporal resolut…
Characterization of the Clinically Approved MRI Tracer Resotran for Magnetic Particle Imaging in a Comparison Study
Fabian Mohn, Konrad Scheffler, Justin Ackers +7
Objective. The availability of magnetic nanoparticles with medical approval for human intervention is fundamental to the clinical translation of magnetic particle imaging (MPI). In…
Resonant Inductive Coupling Network for Human-Sized Magnetic Particle Imaging
Fabian Mohn, Fynn Förger, Florian Thieben +4
In Magnetic Particle Imaging, a field-free region is maneuvered throughout the field of view using a time-varying magnetic field known as the drive-field. Human-sized systems opera…
System Characterization of a Human-Sized 3D Real-Time Magnetic Particle Imaging Scanner for Cerebral Applications
Florian Thieben, Fynn Foerger, Fabian Mohn +6
Since the initial patent in 2001, the Magnetic Particle Imaging (MPI) community has been striving to develop an MPI scanner suitable for human applications. Numerous contributions…
Deep learning-based radiointerferometric imaging with GAN-aided training
F. Geyer, K. Schmidt, J. Kummer +7
Radio interferometry invariably suffers from an incomplete coverage of the spatial Fourier space, which leads to imaging artifacts. The current state-of-the-art technique is to cre…
Maximising Coefficiency of Human-Robot Handovers through Reinforcement Learning
Marta Lagomarsino, Marta Lorenzini, Merryn Dale Constable +3
Handing objects to humans is an essential capability for collaborative robots. Previous research works on human-robot handovers focus on facilitating the performance of the human p…