Tim Dahmen
YOU?
Author Swipe
View article: im2im: Automatically Converting In-Memory Image Representations using a Knowledge Graph Approach
im2im: Automatically Converting In-Memory Image Representations using a Knowledge Graph Approach Open
Image processing workflows typically consist of a series of different functions, each working with “image” inputs and outputs in an abstract sense. However, the specific in-memory representation of images differs between and sometimes with…
View article: New Parameters Based on Ground Reaction Forces for Monitoring Rehabilitation Following Tibial Fractures and Assessment of Heavily Altered Gait
New Parameters Based on Ground Reaction Forces for Monitoring Rehabilitation Following Tibial Fractures and Assessment of Heavily Altered Gait Open
Instrumented insoles have created opportunities for patient monitoring via long-term recordings of ground reaction forces (GRFs). As the GRF curve is altered in patients after lower-extremity fracture, parameters defined on established cur…
View article: Characteristic Changes of the Stance-Phase Plantar Pressure Curve When Walking Uphill and Downhill: Cross-Sectional Study
Characteristic Changes of the Stance-Phase Plantar Pressure Curve When Walking Uphill and Downhill: Cross-Sectional Study Open
Background Monitoring of gait patterns by insoles is popular to study behavior and activity in the daily life of people and throughout the rehabilitation process of patients. Live data analyses may improve personalized prevention and treat…
View article: Effects of age, body height, body weight, body mass index and handgrip strength on the trajectory of the plantar pressure stance-phase curve of the gait cycle
Effects of age, body height, body weight, body mass index and handgrip strength on the trajectory of the plantar pressure stance-phase curve of the gait cycle Open
The analysis of gait patterns and plantar pressure distributions via insoles is increasingly used to monitor patients and treatment progress, such as recovery after surgeries. Despite the popularity of pedography, also known as baropodogra…
View article: Characteristic Changes of the Stance-Phase Plantar Pressure Curve When Walking Uphill and Downhill: Cross-Sectional Study (Preprint)
Characteristic Changes of the Stance-Phase Plantar Pressure Curve When Walking Uphill and Downhill: Cross-Sectional Study (Preprint) Open
BACKGROUND Monitoring of gait patterns by insoles is popular to study behavior and activity in the daily life of people and throughout the rehabilitation process of patients. Live data analyses may improve personalized prevention and trea…
View article: NFDI-MatWerk: Participant Projects & Infrastructure Use Cases
NFDI-MatWerk: Participant Projects & Infrastructure Use Cases Open
This document includes the complete list and descriptions of the Participant Projects (PPs) and related Infrastructure-Use-Cases (IUCs) the consortium NFDI-MatWerk referred to within its proposal. For the NFDI-MatWerk proposal, refer to ht…
View article: Synthetic training data generation for deep learning based quality inspection
Synthetic training data generation for deep learning based quality inspection Open
Deep learning is now the gold standard in computer vision-based quality inspection systems. In order to detect defects, supervised learning is often utilized, but necessitates a large amount of annotated images, which can be costly: collec…
View article: Consortium Proposal NFDI-MatWerk
Consortium Proposal NFDI-MatWerk Open
This is the official porposal the NFDI-consortium NFDI-MatWerk submitted to the DFG within the request for funding the project. Visit www.dfg.de/nfdi for more infos on the German National Research Data Infrastructure (Nationale Forschungsd…
View article: Synthetic training data generation for deep learning based quality inspection
Synthetic training data generation for deep learning based quality inspection Open
Deep learning is now the gold standard in computer vision-based quality inspection systems. In order to detect defects, supervised learning is often utilized, but necessitates a large amount of annotated images, which can be costly: collec…
View article: Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling
Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling Open
The analysis of microscopy images has always been an important yet time consuming process in materials science. Convolutional Neural Networks (CNNs) have been very successfully used for a number of tasks, such as image segmentation. Howeve…
View article: Neuroscope: An Explainable AI Toolbox for Semantic Segmentation and Image Classification of Convolutional Neural Nets
Neuroscope: An Explainable AI Toolbox for Semantic Segmentation and Image Classification of Convolutional Neural Nets Open
Trust in artificial intelligence (AI) predictions is a crucial point for a widespread acceptance of new technologies, especially in sensitive areas like autonomous driving. The need for tools explaining AI for deep learning of images is th…
View article: Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling
Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling Open
The analysis of microscopy images has always been an important yet time consuming process in materials science. Convolutional Neural Networks (CNNs) have been very successfully used for a number of tasks, such as image segmentation. Howeve…
View article: A GPU-based caching strategy for multi-material linear elastic FEM on regular grids
A GPU-based caching strategy for multi-material linear elastic FEM on regular grids Open
In this study, we present a novel strategy to the method of finite elements (FEM) of linear elastic problems of very high resolution on graphic processing units (GPU). The approach exploits regularities in the system matrix that occur in r…
View article: Deep Learning for Sparse Scanning Electron Microscopy
Deep Learning for Sparse Scanning Electron Microscopy Open
Journal Article Deep Learning for Sparse Scanning Electron Microscopy Get access Patrick Trampert, Patrick Trampert German Research Center for Artificial Intelligence GmbH (DFKI), Saarbrücken, GermanySaarland University, 66123 Saarbrücken,…
View article: Fact or Fiction: Maximal Image Quality with Minimal Dwell Time
Fact or Fiction: Maximal Image Quality with Minimal Dwell Time Open
An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
View article: Exemplar-Based Inpainting Based on Dictionary Learning for Sparse Scanning Electron Microscopy
Exemplar-Based Inpainting Based on Dictionary Learning for Sparse Scanning Electron Microscopy Open
An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the 'Save PDF' action button.
View article: Blob-based Algebraic Reconstruction Technique for Computed Laminography
Blob-based Algebraic Reconstruction Technique for Computed Laminography Open
An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
View article: How should a fixed budget of dwell time be spent in scanning electron\n microscopy to optimize image quality?
How should a fixed budget of dwell time be spent in scanning electron\n microscopy to optimize image quality? Open
In scanning electron microscopy, the achievable image quality is often\nlimited by a maximum feasible acquisition time per dataset. Particularly with\nregard to three-dimensional or large field-of-view imaging, a compromise must\nbe found …
View article: Space-Filling Curve Indices as Acceleration Structure for Exemplar-Based Inpainting
Space-Filling Curve Indices as Acceleration Structure for Exemplar-Based Inpainting Open
Exemplar-based inpainting is the process of reconstructing missing parts of an image by searching the remaining data for patches that fit seamlessly. The image is completed to a plausible-looking solution by repeatedly inserting the patch …