Real-Time Update of 3D Deformable Models for Computer Aided Liver Surgery

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In a context where the high-energy physics community strives to enhance software to handle increased data throughput, detector simulation is evolving to take advantage of new performance opportunities. Given the intricacy of particle transport simulation, ...

In light of the challenges posed by climate change and the goals of the Paris Agreement, electricity generation is shifting to a more renewable and decentralized pattern, while the operation of systems like buildings is increasingly electrified. This calls ...

Turning pass-through network architectures into iterative ones, which use their own output as input, is a well-known approach for boosting performance. In this paper, we argue that such architectures offer an additional benefit: The convergence rate of the ...

Many approaches to draping individual garments on human body models are realistic, fast, and yield outputs that are differentiable with respect to the body shape on which they are draped. However, they are either unable to handle multi-layered clothing, wh ...

Acoustic emission (AE) monitoring is a useful technique to monitor the health of a structure continuously, helping to prevent potential failure. AE are elastic waves produced and emitted during fracture processes inside a material and are recorded by senso ...

Currently, post-earthquake assessment is performed visually, which implies that inspectors visit the damaged buildings and, based on their expertise, assign a damage grade. Yet, visual inspection is subjective, time-consuming and difficult to document. In ...

In the Large Hadron Collider, the beam losses are continuously measured for machine protection. By design, most of the particle losses occur in the collimation system, where the particles with high oscilla-tion amplitudes or large momentum error are scrape ...

The natural compound Cyclo Histidine-Proline (CHP) was initially discovered in the brain, but thereafter evaluated in the context of diabetes because of its hypoglycemic action. The pharmacokinetics and the toxicological profile of CHP showed it can be dos ...

Extracting value and insights from increasingly heterogeneous data sources involves multiple systems combining and consuming the data. With multi-modal and context-rich data such as strings, text, videos, or images, the problem of standardizing the data mo ...

Background: There is increasing evidence that children or young adults having acquired liver disease in childhood display neurocognitive impairment which may become more apparent as they grow older. The molecular, cellular and morphological underpinnings o ...

The spinal cord is an elongated nervous structure that together with the brain forms the central nervous system. It relays sensory and motor information between the brain and the body, thus controlling most somatic and autonomic body functions. In recent y ...

Type C hepatic encephalopathy (HE) is a severe neuropsychiatric complication of chronic liver disease, for which the prognosis is poor in the absence of liver transplantation. Cirrhosis in type C HE leads to a toxic accumulation of ammonia in the blood, wh ...

The generation of 3D models depicting cities in the past holds great potential for documentation and educational purposes. However, it is often hindered by incomplete historical data and the specialized expertise required. To address these challenges, we p ...

Social media studies often collect data retrospectively to analyze public opinion. Social media data may decay over time and such decay may prevent the collection of the complete dataset. As a result, the collected dataset may differ from the complete data ...

Real-Time Update of 3D Deformable Models for Computer Aided Liver Surgery

Chattez avec Graph Search

Surface-based GPU-friendly geometry modeling for detector simulation

Quantifying the Unknown: Data-Driven Approaches and Applications in Energy Systems

Enabling Uncertainty Estimation in Iterative Neural Networks

ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns

Automatic and high-precision acoustic emission-based structural health monitoring of concrete structures

Towards real-time digital twins for post-earthquake damage assessment of masonry buildings

Data-driven modeling of beam loss in the LHC

Characterization of Cyclo His-Pro for the prevention and treatment of liver disease and muscular dystrophy

E-Scan: Consuming Contextual Data with Model Plugins

High field brain proton magnetic resonance spectroscopy and volumetry in children with chronic, compensated liver disease-A pilot study

Digital reconstruction of the mammalian spinal cord: from anatomical reference volume to cell type atlas of the mouse spinal cord

New insights into rodent brain microstructure and metabolism in hepatic encephalopathy

Machine-Learning-Enhanced Procedural Modeling for 4D Historical Cities Reconstruction

The Impact of Data Persistence Bias on Social Media Studies