176 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of WürzburgDE5 papers
- École Polytechnique Fédérale de LausanneCH4 papers
- Heidelberg UniversityDE4 papers
- Ludwig-Maximilians-Universität MünchenDE4 papers
- University Hospital HeidelbergDE4 papers
- Comprehensive Cancer Center MainfrankenDE3 papers
- German Cancer Research CenterDE3 papers
- Imperial College LondonGB3 papers
- LMU KlinikumDE3 papers
- National Center for Tumor DiseasesDE3 papers
- University Hospital RegensburgDE3 papers
- University Medical Centre MannheimDE3 papers
17 papers
Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment
Zohra Souei, Muhammad Mushhood Ur Rehman, Harith Akram +14
Artificial intelligence (AI) is increasingly explored across deep brain stimulation (DBS) for movement disorders, yet whether current systems are approaching deployment remains unc…
Robust synchrotron-based deep learning algorithm for intracochlear segmentation in clinical scans: development and international validation
Ashley Micuda, Daniel Newsted, Nastaran Shakourifar +9
Clinical imaging is routinely used for cochlear implant surgical planning yet lacks the resolution and contrast necessary to visualize the fine intracochlear structures critical fo…
Clinical Melanoma Diagnosis with Artificial Intelligence: Insights from a Prospective Multicenter Study
Lukas Heinlein, Roman C. Maron, Achim Hekler +27
Early detection of melanoma, a potentially lethal type of skin cancer with high prevalence worldwide, improves patient prognosis. In retrospective studies, artificial intelligence…
Using Multiple Dermoscopic Photographs of One Lesion Improves Melanoma Classification via Deep Learning: A Prognostic Diagnostic Accuracy Study
Achim Hekler, Roman C. Maron, Sarah Haggenmüller +28
Background: Convolutional neural network (CNN)-based melanoma classifiers face several challenges that limit their usefulness in clinical practice. Objective: To investigate the im…
Interpretable statistical representations of neural population dynamics and geometry
Adam Gosztolai, Robert L. Peach, Alexis Arnaudon +2
The dynamics of neuron populations commonly evolve on low-dimensional manifolds. Thus, we need methods that learn the dynamical processes over neural manifolds to infer interpretab…
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
Tirtha Chanda, Katja Hauser, Sarah Hobelsberger +32
Although artificial intelligence (AI) systems have been shown to improve the accuracy of initial melanoma diagnosis, the lack of transparency in how these systems identify melanoma…
PyGenStability: Multiscale community detection with generalized Markov Stability
Alexis Arnaudon, Juni Schindler, Robert L. Peach +4
We present PyGenStability, a general-use Python software package that provides a suite of analysis and visualisation tools for unsupervised multiscale community detection in graphs…
Robust Centerline Prediction for Accurate Vessel Wall Visualization of Intracranial Vessels in Multi-Contrast 3D MRI Data
Patrick Vogel, Thomas Kampf, Konstanze Guggenberger +7
An accurate planar visualization (curved planar reformation - CPR) of intracranial arteries is mandatory for an improved luminal and mural assessment especially in low resolution M…
Geometrically Frustrated Systems which are as Singles Hotter Than in Company
Wolfgang R. Bauer
We show that an ensemble of thermally weakly coupled geometrically frustrated systems (GFSs), which are constraint to reside at negative Boltzmann temperatures, is in equilibrium c…
Highly Flexible and Modular Simulation Framework for Magnetic Particle Imaging
Patrick Vogel, Martin A. Rückert, Thomas Kampf +1
Simulations with high accuracy are an essential part of scientific research to accelerate the innovation process. They are especially useful for finding novel approaches or optimiz…
Relative, local and global dimension in complex networks
Robert L. Peach, Alexis Arnaudon, Mauricio Barahona
Dimension is a fundamental property of objects and the space in which they are embedded. Yet ideal notions of dimension, as in Euclidean spaces, do not always translate to physical…
How Geometrical Frustrated Systems Challenge our Notion of Thermodynamics
Wolfgang Rudolf Bauer
Although Boltzmann's definition of entropy, and, hence, the existence of negative temperatures, are widely accepted, we will show scenarios which apparently at a first glance are i…
Impact of Interparticle Interaction on Thermodynamics of Nano-Channel Transport of Two Species
Wolfgang Rudolf Bauer
We present a rigorous mathematical approach of two species channel transport within the framework of stochastic thermodynamics, which explains the impact of interparticle in-channe…
Mechanisms of Cooperation and Competition of two Species Transport in Narrow Nanochannels
Wolfgang Rudolf Bauer
Flow of particles of two different species through a narrow channel with solely two discrete spatial positions is analyzed with respect to the species' capability to cooperate or c…
An analytical Model which Determines the Apparent T1 for Modified Look-Locker Inversion Recovery (MOLLI) -- Analysis of the Longitudinal Relaxation under the Influence of Discontinuous Balanced and Spoiled Gradient Echo Readouts
Thomas Kampf, Theresa Reiter, Wolfgang Rudolf Bauer
Quantitative nuclear magnetic resonance imaging (MRI) shifts more and more into the focus of clinical research. Especially determination of relaxation times without/and with contra…
High-Rate Capable Floating Strip Micromegas
Jonathan Bortfeldt, Michael Bender, Otmar Biebel +9
We report on the optimization of discharge insensitive floating strip Micromegas (MICRO-MEsh GASeous) detectors, fit for use in high-energy muon spectrometers. The suitability of t…
Spin Dephasing in the Extended Strong Collision Approximation
Wolfgang R. Bauer, Walter Nadler
For Markovian dynamics of field fluctuations we present here an extended strong collision approximation, thereby putting our previous strong collision approach (Phys. Rev. Lett. 83…