Results 51 to 60 of about 381,300 (334)
Downsampling Algorithm with Fusion of Different Receptive Field Sizes in Deep Detection Methods [PDF]
Jisuanji kexue yu tansuoThe advantage of deep detection models primarily benefits from the feature representation ability of the backbone network, where down-sampling plays a key role in semantic integration.
GU Zhenghua, LIU Gaqiong, SHAO Changbin, YU Hualong
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Psychological safety (PS) is essential for teamwork, communication, and patient safety in complex healthcare environments. In pediatric oncology, interprofessional collaboration occurs under high emotional and organizational demands. Low PS may increase stress, burnout, and adverse events.
Alexandros Rahn +4 more
wiley +1 more source
A population receptive field model of the magnetoencephalography response
NeuroImage, 2021 Computational models which predict the neurophysiological response from experimental stimuli have played an important role in human neuroimaging. One type of computational model, the population receptive field (pRF), has been used to describe cortical ...
Eline R. Kupers +6 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background B‐acute lymphoblastic leukemia (B‐ALL) is the most common pediatric cancer, and while most children in high‐resource settings are cured, therapy carries risks for long‐term toxicities. Understanding parents’ concerns about these late effects is essential to guide anticipatory support and inform evolving therapeutic approaches ...
Kellee N. Parker +7 more
wiley +1 more source
A Computational Study Of The Role Of Spatial Receptive Field Structure In Processing Natural And Non-Natural Scenes [PDF]
, 2018 The center-surround receptive field structure, ubiquitous in the visual system, is hypothesized to be evolutionarily advantageous in image processing tasks.
Barranca, Victor J., Zhu, G.
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Attention operates uniformly throughout the classical receptive field and the surround
eLife, 2016 Shifting attention among visual stimuli at different locations modulates neuronal responses in heterogeneous ways, depending on where those stimuli lie within the receptive fields of neurons. Yet how attention interacts with the receptive-field structure
Bram-Ernst Verhoef, John HR Maunsell
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Multilevel receptive field expansion network for small object detection
IET Image Processing, 2023 Small object detection remains a bottleneck because there is little visual information about them, especially in the deep layers. To improve the detection performance of small objects, here, Swin Transformer is introduced as the model backbone network to
Zhiwei Liu +4 more
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background The delipid extracorporeal lipoprotein filter from plasma (DELP) treatment can effectively reduce blood lipid, increase blood flow, and improve neurological deficits in patients with acute ischemic stroke (AIS). However, its effect on vision and retinal microcirculation in stroke patients has never been reported.
Ning Li +9 more
wiley +1 more source
Self-selective receptive field network for person re-identification
Complex & Intelligent SystemsPerson Re-identification (Re-ID) technology aims to solve the matching problem of the same pedestrians at different times and places, which has important application value in the field of public safety.
Shaoqi Hou +5 more
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Cortico-Cortical Receptive Field Estimates in Human Visual Cortex
i-Perception, 2012 Human visual cortex comprises many visual areas that contain a map of the visual field (Wandell et al 2007, Neuron 56 , 366–383). These visual field maps can be identified readily in individual subjects with functional magnetic resonance imaging (fMRI ...
Koen V Haak +6 more
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