176 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of LübeckDE21 papers
- Hamburg University of TechnologyDE7 papers
- Christian-Albrechts-Universität zu KielDE5 papers
- Universität HamburgDE3 papers
- Comprehensive Cancer Center ErlangenDE2 papers
- German Cancer Research CenterDE2 papers
- German Centre for Cardiovascular ResearchDE2 papers
- Heidelberg UniversityDE2 papers
- Humboldt-Universität zu BerlinDE2 papers
- Karlsruhe Institute of TechnologyDE2 papers
- LMU KlinikumDE2 papers
- Ludwig-Maximilians-Universität MünchenDE2 papers
30 papers
Patient Pose Assessment Using a CT-Based Framework for Synthetic Data Generation
Manuel Laufer, Dominik Mairhöfer, Malte Sieren +7
An adequate diagnostic quality of radiographs is essential for reliable diagnoses and treatment planning. The patient's pose during radiography is one of the most important factors…
Energy-Efficient Federated Learning via Adaptive Encoder Freezing for MRI-to-CT Conversion: A Green AI-Guided Research
Ciro Benito Raggio, Lucia Migliorelli, Nils Skupien +6
Federated Learning (FL) holds the potential to advance equality in health by enabling diverse institutions to collaboratively train deep learning (DL) models, even with limited dat…
Anatomically Informed GREIT Reconstruction: Improving EIT Imaging for Lung Monitoring
Maximilian Ludwig, Carolin M. Eichinger, Armin Sablewski +3
Objective: Time-difference electrical impedance tomography (EIT) is gaining widespread use for bedside lung monitoring in intensive care patients suffering from lung-related diseas…
Upscaling the hyperpolarization sample volume of an automated hydrogenative parahydrogen-induced polarizer
Yenal Gökpek, Jan-Bernd Hövener, Andrey N. Pravdivtsev
Nuclear magnetic resonance (NMR) and magnetic resonance imaging (MRI) suffer from inherently low sensitivity due to the weak thermal polarization of nuclear spins. Parahydrogen-ind…
Compact magnetic field cycling system with the range from nT to 9.4 T exemplified with 13C relaxation dispersion and SABRE-SHEATH hyperpolarization
Josh P. Peters, Charbel D. Assaf, Jan-Bernd Hövener +1
We present a compact magnetic field cycling system for high-resolution NMR spectrometers. The system enables the transfer of the sample from B0 field of 9.4 T to about nT and all f…
FedSynthCT-Brain: A Federated Learning Framework for Multi-Institutional Brain MRI-to-CT Synthesis
Ciro Benito Raggio, Mathias Krohmer Zabaleta, Nils Skupien +6
The generation of Synthetic Computed Tomography (sCT) images has become a pivotal methodology in modern clinical practice, particularly in the context of Radiotherapy (RT) treatmen…
Maximizing NMR Sensitivity: A Guide to Receiver Gain Adjustment
Josh P. Peters, Frank D. Sönnichsen, Jan-Bernd Hövener +1
Novel methods and technology drive the rapid advances of nuclear magnetic resonance (NMR). The primary objective of developing novel hardware is to improve sensitivity and reliabil…
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…
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…
PrivAgE: A Toolchain for Privacy-Preserving Distributed Aggregation on Edge-Devices
Johannes Liebenow, Timothy Imort, Yannick Fuchs +4
Valuable insights, such as frequently visited environments in the wake of the COVID-19 pandemic, can oftentimes only be gained by analyzing sensitive data spread across edge-device…
Current Methods for Hyperpolarized [1-13C]pyruvate MRI Human Studies
Peder EZ Larson, Jenna ML Bernard, James A Bankson +16
MRI with hyperpolarized (HP) 13C agents, also known as HP 13C MRI, can measure processes such as localized metabolism that is altered in numerous cancers, liver, heart, kidney dise…
Magnetization and Polarization of Coupled Nuclear Spin Ensembles
Danila A. Barskiy, Andrey Pravdivtsev
In nuclear magnetic resonance (NMR), the bulk magnetization of a sample is commonly assumed to be proportional to spin polarization, with each spin of the same type contributing eq…
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…
Accelerometry-based classification of circulatory states during out-of-hospital cardiac arrest
Wolfgang J. Kern, Simon Orlob, Andreas Bohn +4
Objective: Exploit accelerometry data for an automatic, reliable, and prompt detection of spontaneous circulation during cardiac arrest, as this is both vital for patient survival…
Using Probabilistic Movement Primitives in Analyzing Human Motion Difference under Transcranial Current Stimulation
Honghu Xue, Rebecca Herzog, Till M Berger +3
In medical tasks such as human motion analysis, computer-aided auxiliary systems have become preferred choice for human experts for its high efficiency. However, conventional appro…
The voice of COVID-19: Acoustic correlates of infection
Katrin D. Bartl-Pokorny, Florian B. Pokorny, Anton Batliner +8
COVID-19 is a global health crisis that has been affecting many aspects of our daily lives throughout the past year. The symptomatology of COVID-19 is heterogeneous with a severity…
In-Vitro MPI-Guided IVOCT Catheter Tracking in Real Time for Motion Artifact Compensation
Florian Griese, Sarah Latus, Matthias Schlüter +4
Purpose: Using 4D magnetic particle imaging (MPI), intravascular optical coherence tomography (IVOCT) catheters are tracked in real time in order to compensate for image artifacts…
Spatio-Temporal Deep Learning Models for Tip Force Estimation During Needle Insertion
Nils Gessert, Torben Priegnitz, Thore Saathoff +6
Purpose. Precise placement of needles is a challenge in a number of clinical applications such as brachytherapy or biopsy. Forces acting at the needle cause tissue deformation and…
Deep Transfer Learning Methods for Colon Cancer Classification in Confocal Laser Microscopy Images
Nils Gessert, Marcel Bengs, Lukas Wittig +4
Purpose: The gold standard for colorectal cancer metastases detection in the peritoneum is histological evaluation of a removed tissue sample. For feedback during interventions, re…
Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks
Nils Gessert, Lukas Wittig, Daniel Drömann +3
Histological evaluation of tissue samples is a typical approach to identify colorectal cancer metastases in the peritoneum. For immediate assessment, reliable and real-time in-vivo…
An Analysis by Synthesis Approach for Automatic Vertebral Shape Identification in Clinical QCT
Stefan Reinhold. Timo Damm, Lukas Huber, Reimer Andresen +3
Quantitative computed tomography (QCT) is a widely used tool for osteoporosis diagnosis and monitoring. The assessment of cortical markers like cortical bone mineral density (BMD)…
Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks
Nils Gessert, Matthias Lutz, Markus Heyder +4
Coronary heart disease is a common cause of death despite being preventable. To treat the underlying plaque deposits in the arterial walls, intravascular optical coherence tomograp…
Detecting and interpreting myocardial infarction using fully convolutional neural networks
Nils Strodthoff, Claas Strodthoff
Objective: We aim to provide an algorithm for the detection of myocardial infarction that operates directly on ECG data without any preprocessing and to investigate its decision cr…
Needle Tip Force Estimation using an OCT Fiber and a Fused convGRU-CNN Architecture
Nils Gessert, Torben Priegnitz, Thore Saathoff +6
Needle insertion is common during minimally invasive interventions such as biopsy or brachytherapy. During soft tissue needle insertion, forces acting at the needle tip cause tissu…