Toward Reliable MR-Based Brain Structure Morphometry : Importance of Rigorous Quality Control

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Background: Eating disorders (EDs) are serious psychiatric disorders characterized by impairments in neurocognition and altered brain structure. To date the majority of studies have investigated these in acutely ill or recovered individuals. Studying child ...

The nematode Caenorhabditis elegans offers a uniquely tractable model for studying the relationships between neuronal activity, connectivity, and behavior. Despite its simplicity, key questions remain about how information flows through its nervous system ...

Accurate PET quantification of tracer uptake in small brain structures is confounded by low sensitivity and the partial volume effect (PVE) caused by limited spatial resolution. In this study, we present the second prototype of the Prism-PET brain scanner ...

Neurodegenerative and neuroinflammatory disorders often involve complex pathophysiological mechanisms that are â to this date â only partially understood. A more comprehensive understanding of those microstructural processes and their characterization ...

As large, data-driven artificial intelligence models become ubiquitous, guaranteeing high data quality is imperative for constructing models. Crowdsourcing, community sensing, and data filtering have long been the standard approaches to guaranteeing or imp ...

Mechanical resonators are widely used in sensors, transducers and optomechanical systems, where mechanical dissipation sets the ultimate limit to performance. Over the past 15 years, the quality factors in strained mechanical resonators have increased by f ...

AIM: To characterise the corticoreticular pathway (CRP) in a case -control cohort of adolescent idiopathic scoliosis (AIS) patients using high -resolution slice -accelerated readoutsegmented echo -planar diffusion tensor imaging (DTI) to enhance the discri ...

Photometric stereo, a computer vision technique for estimating the 3D shape of objects through images captured under varying illumination conditions, has been a topic of research for nearly four decades. In its general formulation, photometric stereo is an ...

Whereas pulse-echo ultrasound imaging relied on focused acoustic waves since its inception, the last two decades have seen the development of techniques based on unfocused waves, including ultrafast ultrasound imaging. In large part due to the emergence of ...

The space industry has experienced substantial growth in recent years, leading to rapid advancements in space exploration and space-based technologies. Consequently, the study of electronics and sensor performance in extreme environments has become crucial ...

Statistical (machine-learning, ML) models are more and more often used in computational chemistry as a substitute to more expensive ab initio and parametrizable methods. While the ML algorithms are capable of learning physical laws implicitly from data, ad ...

Automatic rib labeling and anatomical centerline extraction are common prerequisites for various clinical applications. Prior studies either use in-house datasets that are inaccessible to communities, or focus on rib segmentation that neglects the clinical ...

Obesity represents a significant public health concern and is linked to various comorbidities and cognitive impairments. Previous research indicates that elevated body mass index (BMI) is associated with structural changes in white matter (WM). However, a ...

The growing global obesity issue emphasizes the importance of understanding its health implications. Previous research has identified consistent alterations in gray matter (GM) volume in connection with obesity. Given the various implications of distinct f ...

Purpose: This study aims to evaluate two distinct approaches for fiber radius estimation using diffusion-relaxation MRI data acquired in biomimetic microfiber phantoms that mimic hollow axons. The methods considered are the spherical mean power-law approac ...

The COVID-19 pandemic has led to a significant increase in working from home worldwide, making the workfrom-home (WFH) setting a crucial context for studying the influence of indoor environmental quality (IEQ) on workers' well-being and productivity. A nar ...

Fast timing in ToF-PET improves the signal-to-noise ratio for better patient comfort through either a lower dose or a shorter scan time. Recent clinical PET scanners using lutetium-based crystals, like LYSO, reach a coincidence time resolution (CTR) of aro ...

The performance of machine learning algorithms is conditioned by the availability of training datasets, which is especially true for the field of nondestructive evaluation. Here we propose one reconfigurable specimen instead of numerous reference specimens ...

Objective. Selective neuromodulation of deep brain regions has for a long time only been possible through invasive approaches, because of the steep depth-focality trade-off of conventional non-invasive brain stimulation (NIBS) techniques. Approach. An appr ...

At room temperature, mechanical motion driven by the quantum backaction of light has been observed only in pioneering experiments in which an optical restoring force controls the oscillator stiffness1,2. For solid-state mechanical resonators in which oscil ...

Toward Reliable MR-Based Brain Structure Morphometry : Importance of Rigorous Quality Control

Chattez avec Graph Search

Neurobiology and Cognition in Girls at High-risk of Eating Disorders: Exploring Imaging-derived Trait Markers

Behaviorally Relevant Information Content in Interneuron Activity

Prism-PET II: Second prototype of the TOF-DOI Prism-PET brain scanner with tapered crystals and inverse rendering reconstruction

Development and clinical validation of computational imaging biomarkers for neurodegenerative diseases

Extensions of Peer Prediction Incentive Mechanisms

Ultrahigh-quality-factor micro- and nanomechanical resonators using dissipation dilution

The hindbrain and cortico-reticular pathway in adolescent idiopathic scoliosis

Aggregating Spatial and Photometric Context for Photometric Stereo

Inverse Problems in Pulse-Echo Ultrasound: Exploiting Coherence for Image Enhancement and Quantitative Imaging

Single-Photon Avalanche Diode Image Sensors for Harsh Radiation Environments

Encoding quantum-chemical knowledge into machine-learning models of complex molecular properties

RibSeg v2: A Large-Scale Benchmark for Rib Labeling and Anatomical Centerline Extraction

White adipose tissue distribution and amount are associated with increased white matter connectivity

The interplay between white adipose tissue, adipokines, and structural gray matter changes

Pore size estimation in axon-mimicking microfibers with diffusion-relaxation MRI

A state-of-the-art, systematic review of indoor environmental quality studies in work-from-home settings

Investigating μSiPMs to overcome the limits of BGO in ToF-PET

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Safety, tolerability and blinding efficiency of non-invasive deep transcranial temporal interference stimulation: first experience from more than 250 sessions

Room-temperature quantum optomechanics using an ultralow noise cavity