Song Guo

ORCID: 0000-0001-6841-753X
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About
Contact & Profiles
Research Areas
  • Retinal Imaging and Analysis
  • Face and Expression Recognition
  • Digital Imaging for Blood Diseases
  • Retinal Diseases and Treatments
  • Advanced Optical Imaging Technologies
  • Glaucoma and retinal disorders
  • Image and Signal Denoising Methods
  • Video Surveillance and Tracking Methods
  • Retinal and Optic Conditions
  • Face recognition and analysis
  • Advanced Neural Network Applications
  • Generative Adversarial Networks and Image Synthesis
  • Medical Image Segmentation Techniques
  • Advanced Algorithms and Applications
  • Sparse and Compressive Sensing Techniques
  • Blind Source Separation Techniques
  • Virtual Reality Applications and Impacts
  • Mathematical Analysis and Transform Methods
  • Remote-Sensing Image Classification
  • Human Mobility and Location-Based Analysis
  • Traffic Prediction and Management Techniques
  • Machine Learning and ELM
  • Spectroscopy and Chemometric Analyses
  • Context-Aware Activity Recognition Systems
  • Advanced Vision and Imaging

Xi'an University of Architecture and Technology
2021-2025

Northwest A&F University
2022-2024

Yanbian University
2024

Nanjing University of Chinese Medicine
2020-2024

Jiangxi Provincial Institute of Water Sciences
2023

Beijing University of Posts and Telecommunications
2021-2022

PLA Information Engineering University
2021

Nanjing Agricultural University
2021

The University of Sydney
2021

Nankai University
2018-2020

Modern online multiple object tracking (MOT) methods usually focus on two directions to improve performance. One is predict new positions in an incoming frame based information from previous frames, and the other enhance data association by generating more discriminative identity embeddings. Some works combined both within one framework but handled them as individual tasks, thus gaining little mutual benefits. In this paper, we propose a novel unified model with synergy between position...

10.1109/cvpr46437.2021.00804 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021-06-01

The use of a fast and accurate unmanned aerial vehicle (UAV) digital camera platform to estimate leaf area index (LAI) kiwifruit orchard is great significance for growth, yield estimation, field management. LAI, as an ideal parameter estimating vegetation plays significant role in reflecting crop physiological process ecosystem function. At present, LAI estimation mainly focuses on winter wheat, corn, soybean, other food crops; addition, forest research also predominant, but there are few...

10.3390/rs14051063 article EN cc-by Remote Sensing 2022-02-22

Background: Chuang-Ling-Ye (CLY) has been clinically proven to be an effective Chinese medicine for the treatment of diabetic foot ulcers (DFU). Objectives: This study aimed investigate possible mechanism CLY in relation DFU using network pharmacology and molecular docking. Materials Methods: Firstly, relevant targets against were obtained from TCMSP, Swiss Target Prediction database GEO database. Then, topological analysis was employed by Cytoscape screen top 6 core active ingredients 8 hub...

10.2174/0113816128287155240122121553 article EN Current Pharmaceutical Design 2024-02-01

10.1109/icassp49660.2025.10888178 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025-03-12

10.1007/s12652-021-03422-3 article EN Journal of Ambient Intelligence and Humanized Computing 2021-08-29

Accurately measuring leaf chlorophyll content (LCC) is crucial for monitoring maize growth. This study aims to rapidly and non-destructively estimate the LCC during four critical growth stages investigate ability of phenological parameters (PPs) LCC. First, spectra were obtained by spectral denoising followed transformation. Next, sensitive bands (Rλ), indices (SIs), PPs extracted from all at each stage. Then, univariate models constructed determine their potential independent estimation....

10.3390/rs16122133 article EN cc-by Remote Sensing 2024-06-13

10.1016/j.compbiomed.2021.104928 article EN Computers in Biology and Medicine 2021-10-11

10.1016/j.bspc.2022.103930 article EN Biomedical Signal Processing and Control 2022-06-29

10.1016/j.engappai.2024.108907 article EN Engineering Applications of Artificial Intelligence 2024-07-06

"HIV protease-induced lipodystrophy syndrome" is associated with the use of HIV protease inhibitors for treatment infection. In-vitro studies suggest that alteration sterol regulatory element binding protein-1 levels underlie its pathogenesis. We postulated may represent a novel class antiliposarcoma agents. SW872, FU-DDLS-1 and LiSa-2 liposarcoma, HT1080 293 nonliposarcoma cell lines were treated (nelfinavir, ritonavir, saquinavir, indinavir amprenavir), clonogenic assays performed....

10.1097/01.cad.0000224448.08706.76 article EN Anti-Cancer Drugs 2006-08-28

Abstract Primary cilia are critically involved in the coordination of diverse signaling pathways and ciliary defects associated with a variety human diseases. The past decades have witnessed great progress core machinery orchestrating assembly. However, upstream epigenetic cues that direct ciliogenesis remain elusive. Herein, we demonstrate mixed-lineage leukemia protein 2 (MLL2), histone methyltransferase, plays negative role ciliogenesis. RNA-sequencing analysis reveals expression five...

10.1038/s41421-019-0100-3 article EN cc-by Cell Discovery 2019-06-25

A time-sequential autostereoscopic three-dimensional (3D) display using a set of cylindrical optical elements (COEs) as the backlight steering is proposed. The operation principle system and its detailed design are described. In our system, COEs control direction for proposed user's right left views. Additionally, displayed images can be observed under ambient lighting by implementing high density light-emitting diode (LED) arrays. Compared to first-generation array display, image resolution...

10.1364/ao.55.007847 article EN Applied Optics 2016-09-21

Abstract Successful treatment of pancreatic cancer, which has the highest mortality rate among all types malignancies, challenged oncologists for decades, and early detection would undoubtedly increase favorable patient outcomes. The identification proteins involved in cancer progression could lead to biomarkers this disease. This study identifies one potential candidate, cylindromatosis (CYLD), a deubiquitinase microtubule‐binding protein that plays suppressive role development. In samples,...

10.1002/jcp.27658 article EN Journal of Cellular Physiology 2018-10-26
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