Results 51 to 60 of about 1,288,582 (274)

Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis   +9 more
wiley   +1 more source

Potential Early Risk Biomarkers for Reduced Forced Expiratory Volume in Children Post‐Hematopoietic Cell Transplantation

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT We sought to identify potential early risk biomarkers for lung disease in children post‐allogeneic HCT. Patients with pulmonary function tests 3 months post‐transplant and plasma samples between days 7 and 14 post‐HCT were included. Six of 27 subjects enrolled had reduced forced expiratory volume 1 (FEV1) z scores.
Isabella S. Small   +3 more
wiley   +1 more source

Resolution-invariant Person Re-Identification [PDF]

open access: yesProceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Exploiting resolution invariant representation is critical for person Re-Identification (ReID) in real applications, where the resolutions of captured person images may vary dramatically. This paper learns person representations robust to resolution variance through jointly training a Foreground-Focus Super-Resolution (FFSR) module and a Resolution ...
Mao, Shunan, Zhang, Shiliang, Yang, Ming
openaire   +2 more sources

Personalizing the Pediatric Hematology/Oncology Fellowship: Adapting Training for the Next Generation

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT The pediatric hematology‐oncology fellowship training curriculum has not substantially changed since its inception. The first year of training is clinically focused, and the second and third years are devoted to scholarship. However, this current structure leaves many fellows less competitive in the current job market, resulting in ...
Scott C. Borinstein   +3 more
wiley   +1 more source

A survey on person and vehicle re‐identification

open access: yesIET Computer Vision
Person/vehicle re‐identification aims to use technologies such as cross‐camera retrieval to associate the same person (same vehicle) in the surveillance videos at different locations, different times, and images captured by different cameras so as to ...
Zhaofa Wang   +5 more
doaj   +1 more source

Multi‐directional saliency metric learning for person re‐identification

open access: yesIET Computer Vision, 2016
A multi‐directional salience based similarity evaluation for person re‐identification (re‐id) is presented. After distribution analysis for salience consistency between image pairs, a similarity between matched patches is established by weighted fusion ...
Ying Chen, Zhonghua Huo, Chunjian Hua
doaj   +1 more source

Night Person Re-Identification and a Benchmark

open access: yesIEEE Access, 2019
Person re-identification is an important problem in computer vision fields due to its widely application. However, most of existing person re-identification methods are evaluated in daytime scenarios which is still far from real applications.
Jian'an Zhang, Yuan Yuan, Qi Wang
doaj   +1 more source

Multi‐stage attention network for video‐based person re‐identification

open access: yesIET Computer Vision, 2022
Video‐based person re‐identification (Re‐ID) has received increasing attention in video surveillance analysis in recent years. To extract relevant information of the target, many existing methods utilise the attention mechanism in the residual block of ...
Fan Yang   +4 more
doaj   +1 more source

Divide and Fuse: A Re-ranking Approach for Person Re-identification

open access: yes, 2017
As re-ranking is a necessary procedure to boost person re-identification (re-ID) performance on large-scale datasets, the diversity of feature becomes crucial to person reID for its importance both on designing pedestrian descriptions and re-ranking ...
Bai, Song   +3 more
core   +1 more source

Color-Sensitive Person Re-Identification [PDF]

open access: yesProceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Recent deep Re-ID models mainly focus on learning high-level semantic features, while failing to explicitly explore color information which is one of the most important cues for person Re-ID. In this paper, we propose a novel Color-Sensitive Re-ID to take full advantage of color information. On one hand, we train our model with real and fake images. By
Guan'an Wang   +4 more
openaire   +1 more source

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