Výsledky vyhledávání - "Haoxing, Chen"

Factors Associated with 5-year Glaucomatous Progression in Glaucoma Suspect Eyes: A Retrospective Longitudinal Study

Autor: Nariman, Nassiri, Shibandri, Das, Vaama, Patel, Aravindh, Nirmalan, Dhir, Patwa, Alexandra, Heriford, Chaesik, Kim, Haoxing, Chen, Faisal, Ridha, Justin, Tannir, Anju, Goyal, Mark S, Juzych, Bret A, Hughes

Publikováno v: Journal of Current Glaucoma Practice. 16:11-16

Using demographic, clinical, visual field, and optical coherence tomography (OCT) variables to study the association of 5-year glaucomatous progression in glaucoma suspect eyes.This is a retrospective longitudinal clinical study. Inclusion criteria c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c8afaabdd4ccdf84c41bc82657fd139
https://doi.org/10.5005/jp-journals-10078-1350

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Impact of Fellowship Training on Practice Patterns of Glaucoma Surgeons Treating Medicare fee-for-service Beneficiaries

Autor: Ryan L. Freedman, Radwa Elsharawi, Mark S. Juzych, Chaesik Kim, Anju Goyal, Faisal Ridha Al-Timimi, Haoxing Chen, Bret A. Hughes

Publikováno v: Ophthalmic epidemiology.

Analyze practice patterns of glaucoma surgeons with and without fellowship training.Physician-specific 2017 Medicare data were obtained from the Centers for MedicareMedicaid Services website. Current Procedural Terminology codes identified procedures

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e10e85ffd0b63d2dffe1ef8d6a7102c
https://pubmed.ncbi.nlm.nih.gov/36171732

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Shaping Visual Representations with Attributes for Few-Shot Recognition

Autor: Haoxing Chen, Huaxiong Li, Yaohui Li, Chunlin Chen

Few-shot recognition aims to recognize novel categories under low-data regimes. Some recent few-shot recognition methods introduce auxiliary semantic modality, i.e., category attribute information, into representation learning, which enhances the fea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74ef80a37a281dfe7dddf91ae0e77f6d
http://arxiv.org/abs/2112.06398

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A Practical Hybrid Automatic Transmission Model for Commercial Vehicles

Autor: Zhenyuan Zhang, Darong Huang, Haoxing Chen, Haiyang Hao

Publikováno v: 2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS).

This study proposes a practical hybrid automatic transmission model for commercial vehicles based on the first-principle modelling approach. The developed plant model consists of three base elements, i.e. hydraulic circuit, multi-plate wet clutches a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e0dcb1ead2831aaef476fdd7834ce2bf
https://doi.org/10.1109/ddcls52934.2021.9455674

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Deconvolution of ultrasound biomicroscopy images using generative adversarial networks to visualize and evaluate localization of ocular structures

Autor: Richard Helms, David L. Wilson, Duriye Damla Sevgi, Ahmed Tahseen Minhaz, Haoxing Chen, Sunwoo Kwak, Faruk H. Orge, Mahdi Bayat

Publikováno v: Medical Imaging 2021: Ultrasonic Imaging and Tomography.

High frequency ultrasound biomicroscopy (UBM) images are used in clinical ophthalmology due to its ability to penetrate opaque tissues and create high resolution images of deeper intraocular structures. Because these inexpensive, high frequency (50 M

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::771df6eda67a18045db4f1abc258e1b5
https://doi.org/10.1117/12.2582128

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Local Mutual Metric Network for Few-Shot Image Classification

Autor: Huaxiong Li, Chunlin Chen, Yaohui Li, Haoxing Chen

Publikováno v: Pattern Recognition and Computer Vision ISBN: 9783030880033
PRCV (1)

Few-shot image classification aims to recognize unseen categories with only a few labeled training samples. Recent metric-based approaches tend to represent each sample with a high-level semantic representation and make decisions according to the sim

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4929eef4527937fdf2ebefeb26c53143
https://doi.org/10.1007/978-3-030-88004-0_36

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Multi-scale Adaptive Task Attention Network for Few-Shot Learning

Autor: Haoxing Chen, Huaxiong Li, Yaohui Li, Chunlin Chen

The goal of few-shot learning is to classify unseen categories with few labeled samples. Recently, the low-level information metric-learning based methods have achieved satisfying performance, since local representations (LRs) are more consistent bet

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c58a446e5fd1a4e856f8b9b69246eecd

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Investigation of Multiple Frequency Ranges Using Discrete Wavelet Decomposition of Resting-State Functional Connectivity in Mild Traumatic Brain Injury Patients

Autor: Chandler Sours, Jiachen Zhuo, Haoxing Chen, Rao P. Gullapalli, Steven Roys, Amitabh Varshney

Publikováno v: Brain Connectivity. 5:442-450

The aim of this study was to investigate if discrete wavelet decomposition provides additional insight into resting-state processes through the analysis of functional connectivity within specific frequency ranges within the default mode network (DMN)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::827a01c2af5c1a384400b0418f4d23ec
https://doi.org/10.1089/brain.2014.0333

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