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Boosting Multi-modal Ocular Recognition via Spatial Feature Reconstruction and Unsupervised Image Quality Estimation
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作者 zihui yan Yunlong Wang +2 位作者 Kunbo Zhang Zhenan Sun Lingxiao He 《Machine Intelligence Research》 EI CSCD 2024年第1期197-214,共18页
In the daily application of an iris-recognition-at-a-distance(IAAD)system,many ocular images of low quality are acquired.As the iris part of these images is often not qualified for the recognition requirements,the mor... In the daily application of an iris-recognition-at-a-distance(IAAD)system,many ocular images of low quality are acquired.As the iris part of these images is often not qualified for the recognition requirements,the more accessible periocular regions are a good complement for recognition.To further boost the performance of IAAD systems,a novel end-to-end framework for multi-modal ocular recognition is proposed.The proposed framework mainly consists of iris/periocular feature extraction and matching,unsupervised iris quality assessment,and a score-level adaptive weighted fusion strategy.First,ocular feature reconstruction(OFR)is proposed to sparsely reconstruct each probe image by high-quality gallery images based on proper feature maps.Next,a brand new unsupervised iris quality assessment method based on random multiscale embedding robustness is proposed.Different from the existing iris quality assess-ment methods,the quality of an iris image is measured by its robustness in the embedding space.At last,the fusion strategy exploits the iris quality score as the fusion weight to coalesce the complementary information from the iris and periocular regions.Extensive experi-mental results on ocular datasets prove that the proposed method is obviously better than unimodal biometrics,and the fusion strategy can significantly improve therecognition performance. 展开更多
关键词 Iris recognition periocular recognition spatial feature reconstruction fully convolutional network flexible matching unsupervised iris quality assessment adaptive weight fusion
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A Single-cell Transcriptome Atlas of Cashmere Goat Hair Follicle Morphogenesis 被引量:3
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作者 Wei Ge Weidong Zhang +10 位作者 Yuelang Zhang Yujie Zheng Fang Li Shanhe Wang Jinwang Liu Shaojing Tan zihui yan Lu Wang Wei Shen Lei Qu Xin Wang 《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2021年第3期437-451,共15页
Cashmere,also known as soft gold,is produced from the secondary hair follicles(SHFs)of cashmere goats.The number of SHFs determines the yield and quality of cashmere;therefore,it is of interest to investigate the tran... Cashmere,also known as soft gold,is produced from the secondary hair follicles(SHFs)of cashmere goats.The number of SHFs determines the yield and quality of cashmere;therefore,it is of interest to investigate the transcriptional profiles present during cashmere goat hair follicle development.However,mechanisms underlying this development process remain largely unexplored,and studies regarding hair follicle development mostly use a murine research model.In this study,to provide a comprehensive understanding of cellular heterogeneity and cell fate decisions,single-cell RNA sequencing was performed on 19,705 single cells of the dorsal skin from cashmere goat fetuses at induction(embryonic day 60;E60),organogenesis(E90),and cytodifferentiation(E120)stages.For the first time,unsupervised clustering analysis identified 16 cell clusters,and their corresponding cell types were also characterized.Based on lineage inference,a detailed molecular landscape was revealed along the dermal and epidermal cell lineage developmental pathways.Notably,our current data also confirmed the heterogeneity of dermal papillae from different hair follicle types,which was further validated by immunofluorescence analysis.The current study identifies different biomarkers during cashmere goat hair follicle development and has implications for cashmere goat breeding in the future. 展开更多
关键词 Single-cell transcriptome Cashmere goat Cellular heterogeneity Developmental trajectory Hair follicle morphogenesis
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Exome sequencing reveals genetic architecture in patients with isolated or syndromic short stature 被引量:2
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作者 Xin Fan Sen Zhao +27 位作者 Chenxi Yu Di Wu zihui yan Lijun Fan yanning Song Yi Wang Chuan Li Yue Ming Baoheng Gui Yuchen Niu Xiaoxin Li Xinzhuang yang Shiyu Luo Qiang Zhang Xiuli Zhao Hui Pan Mei Li Weibo Xia Guixing Qiu Pengfei Liu Shuyang Zhang Jianguo Zhang Zhihong Wu James R.Lupski Jennifer E.Posey Shaoke Chen Chunxiu Gong Nan Wu 《Journal of Genetics and Genomics》 SCIE CAS CSCD 2021年第5期396-402,共7页
Short stature is among the most common endocrinological disease phenotypes of childhood and may occur as an isolated finding or in conjunction with other clinical manifestations.Although the diagnostic utility of clin... Short stature is among the most common endocrinological disease phenotypes of childhood and may occur as an isolated finding or in conjunction with other clinical manifestations.Although the diagnostic utility of clinical genetic testing in short stature has been implicated,the genetic architecture and the utility of genomic studies such as exome sequencing(ES)in a sizable cohort of patients with short stature have not been investigated systematically.In this study,we recruited 561 individuals with short stature from two centers in China during a 4-year period.We performed ES for all patients and available parents.All patients were retrospectively divided into two groups:an isolated short stature group(group I,n=257)and an apparently syndromic short stature group(group II,n=304).Causal variants were identified in 135 of 561(24.1%)patients.In group I,29 of 257(11.3%)of the patients were solved by variants in 24 genes.In group II,106 of 304(34.9%)patients were solved by variants in 57 genes.Genes involved in fundamental cellularprocess played an important role in the genetic architecture of syndromic short stature.Distinct genetic architectures and pathophysiological processes underlie isolated and syndromic short stature. 展开更多
关键词 Short stature Exome sequencing Molecular diagnosis VARIANTS Genes and growth
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