Results 71 to 80 of about 1,213,728 (294)

Label-free timing analysis of SiPM-based modularized detectors with physics-constrained deep learning

open access: yesMachine Learning: Science and Technology, 2023
Pulse timing is an important topic in nuclear instrumentation, with far-reaching applications from high energy physics to radiation imaging. While high-speed analog-to-digital converters become more and more developed and accessible, their potential uses
Pengcheng Ai   +8 more
doaj   +1 more source

ATLAS IBL Pixel Upgrade

open access: yes, 2011
The upgrade for ATLAS detector will undergo different phase towards super-LHC. The first upgrade for the Pixel detector will consist of the construction of a new pixel layer which will be installed during the first shutdown of the LHC machine (LHC phase ...
A. La Rosa   +7 more
core   +1 more source

Guided Super-Resolution As Pixel-to-Pixel Transformation [PDF]

open access: yes2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019
Guided super-resolution is a unifying framework for several computer vision tasks where the inputs are a low-resolution source image of some target quantity (e.g., perspective depth acquired with a time-of-flight camera) and a high-resolution guide image from a different domain (e.g., a grey-scale image from a conventional camera); and the target ...
de Lutio, Riccardo   +3 more
openaire   +2 more sources

Applicability of mitotic figure counting by deep learning: a development and pan‐cancer validation study

open access: yesFEBS Open Bio, EarlyView.
In this study, we developed a deep learning method for mitotic figure counting in H&E‐stained whole‐slide images and evaluated its prognostic impact in 13 external validation cohorts from seven different cancer types. Patients with more mitotic figures per mm2 had significantly worse patient outcome in all the studied cancer types except colorectal ...
Joakim Kalsnes   +32 more
wiley   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

open access: yesFEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill   +4 more
wiley   +1 more source

Invisible Pixels Are Dead, Long Live Invisible Pixels! [PDF]

open access: yesProceedings of the 2018 Workshop on Privacy in the Electronic Society, 2018
Privacy has deteriorated in the world wide web ever since the 1990s. The tracking of browsing habits by different third-parties has been at the center of this deterioration. Web cookies and so-called web beacons have been the classical ways to implement third-party tracking. Due to the introduction of more sophisticated technical tracking solutions and
Ruohonen Jukka, Leppänen Ville
openaire   +3 more sources

Visual Recovery Reflects Cortical MeCP2 Sensitivity in Rett Syndrome

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rett syndrome (RTT) is a devastating neurodevelopmental disorder with developmental regression affecting motor, sensory, and cognitive functions. Sensory disruptions contribute to the complex behavioral and cognitive difficulties and represent an important target for therapeutic interventions.
Alex Joseph Simon   +12 more
wiley   +1 more source

Signal and noise of Diamond Pixel Detectors at High Radiation Fluences

open access: yes, 2012
CVD diamond is an attractive material option for LHC vertex detectors because of its strong radiation-hardness causal to its large band gap and strong lattice.
  +23 more
core   +1 more source

Imaging properties of pixellated scintillators with deep pixels [PDF]

open access: yesSPIE Proceedings, 2014
We have investigated the light-transport properties of scintillator arrays with long, thin pixels (deep pixels) for use in high-energy gamma-ray imaging. We compared 10×10 pixel arrays of YSO:Ce, LYSO:Ce and BGO (1mm × 1mm × 20 mm pixels) made by Proteus, Inc.
H Bradford, Barber   +7 more
openaire   +2 more sources

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah   +7 more
wiley   +1 more source

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