Yizhi Chen

ORCID: 0000-0002-0171-182X
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About
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Research Areas
  • Radioactive element chemistry and processing
  • Chemical Synthesis and Characterization
  • Radiomics and Machine Learning in Medical Imaging
  • Covalent Organic Framework Applications
  • Extraction and Separation Processes
  • Geological and Geochemical Analysis
  • AI in cancer detection
  • earthquake and tectonic studies
  • Nuclear Materials and Properties
  • Renal Diseases and Glomerulopathies
  • Nuclear materials and radiation effects
  • Analytical chemistry methods development
  • Colorectal Cancer Screening and Detection
  • Graphene research and applications
  • Natural Compounds in Disease Treatment
  • High-pressure geophysics and materials
  • Adsorption and biosorption for pollutant removal
  • Neural Networks and Applications
  • Polymer Nanocomposite Synthesis and Irradiation
  • Chronic Lymphocytic Leukemia Research
  • COVID-19 diagnosis using AI
  • Polymer Nanocomposites and Properties
  • Lung Cancer Diagnosis and Treatment
  • Medical Imaging and Analysis
  • Simulation and Modeling Applications

University of Science and Technology of China
1993-2024

Trine University
2023-2024

Jinzhou Medical University
2024

Third Xiangya Hospital
2019-2023

Central South University
2019-2023

Chinese Academy of Sciences
2023

Jiangsu University of Technology
2023

Beijing University of Chemical Technology
2022

First Affiliated Hospital of Fujian Medical University
2022

Fujian Medical University
2022

This article reviews the application cases of CRISPR/Cas9 gene editing technology, as well challenges and limitations. Firstly, technology based on deep learning in predicting targeting efficiency sgRNA is introduced, steps data acquisition, pre-processing feature engineering are described detail. It then discusses non-specific cutting cytotoxicity strategies for solving these using techniques. Finally, paper emphasizes importance techniques to mitigate problems points out that establishment...

10.54254/2755-2721/64/20241357 article EN cc-by Applied and Computational Engineering 2024-05-14

This paper reviews the first challenge on image dehazing (restoration of rich details in hazy image) with focus proposed solutions and results. The had 2 tracks. Track 1 employed indoor images (using I-HAZE dataset), while outdoor O-HAZE dataset). have been captured presence real haze, generated by professional haze machines. dataset contains 35 scenes that correspond to domestic environments, objects different colors specularities. 45 depicting same visual content recorded haze-free...

10.1109/cvprw.2018.00134 article EN 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2018-06-01

Computer vision is a cutting-edge information processing technology that seeks to mimic the human visual nervous system. Its primary aim emulate psychological processes of interpret and depict objective scenery. This revolutionary field encompasses wide range applications, including life sciences, medical diagnosis, military operations, scientific research, many others. At heart computer lies theoretical core, which includes deep learning, image recognition, target detection, tracking These...

10.62051/ijcsit.v2n1.06 article EN cc-by-nc International Journal of Computer Science and Information Technology 2024-03-06

Because of a complicated metamorphic history, the isotopic systematics ultrahigh-pressure (UHP) rocks in Dabie-Sulu belt, east China, appear to be rather different from what were expected. Depending on degree retrograde metamorphism and retentivity isotopes, radiogenic UHP yielded wide range radiometric ages. Some these ages are geologically meaningful, but others may not be. In some fine-grained rocks, Sm/Nd equilibrium among phases, showing best estimate for age peak at 226 ± 3 Ma. On...

10.1080/00206819909465195 article EN International Geology Review 1999-12-01

Automated identification and localization of vertebrae in spinal computed tomography (CT) imaging is a complicated hybrid task. This task requires detecting indexing long sequence 3-D image, both image feature extraction modeling are needed to address the problem. In this paper, powerful fully convolutional neural network (FCN) technique performs these tasks simultaneously because FCNs directly encode decode spatial interdependence different components images. The key module our proposed...

10.1109/tmi.2019.2927289 article EN IEEE Transactions on Medical Imaging 2019-07-12

Smaller Au nanoparticles have more δ − and O , which can cause high response to TEA.

10.1039/d1tc05283g article EN Journal of Materials Chemistry C 2022-01-01

Abstract Fluorine rubber (FKM) stands as a pivotal sealing material extensively employed in aerospace and nuclear industries. However, its efficacy will be seriously affected by ionizing radiation. Enhancing radiation resistance becomes imperative to uphold the stability safety of associated equipment. This study introduced hexagonal boron nitride ( h ‐BN) into FKM radioprotective fillers through mechanical blending. The interfacial interaction between matrix ‐BN, performances, thermal...

10.1002/pc.28589 article EN Polymer Composites 2024-05-23

In order to promote the sustainable development of nuclear energy through thorium (Th(IV)) recycling, we synthesized SiO2-coated magnetic functional nanocomposites (SiO2@Fe3O4) that were modified with 2,9-diamide-1,10-phenanthroline (DAPhen) serve as an adsorbent for Th(IV) removal. SiO2@Fe3O4-DAPhen showed effective adsorption in both weakly and strongly acidic solutions. Owing its porous structure facilitated rapid kinetics, equilibrium was achieved within 5 0.5 min at pH 3 1 mol L–1 HNO3,...

10.1021/acs.inorgchem.3c02044 article EN Inorganic Chemistry 2023-08-03

Carbon materials have a very wide range of applications in the field electrocatalysis, both as catalyst bodies and excellent supports for catalysts. In this work, we obtained graphitic-like orange-peel derived carbon (OPC) material through pre-carbonization KOH activation strategies using discarded raw material. OPC has good graphitization characteristics few-layer structure, making it suitable support nanoparticle order to compare performance OPC, used commercial graphene benchmark, made...

10.1039/d3dt02969g article EN Dalton Transactions 2023-01-01

Breast density and background parenchymal enhancement (BPE) are suggested to be related the risk of breast cancer. The first step quantitative analysis BPE is segmenting from body. Nowadays, convolutional neural networks (CNNs) widely used in image segmentation work well semantic segmentation, however, CNNs have been rarely region segmentation. In this paper, CNN was employed segment transverse fat-suppressed dynamic contrast enhanced magnetic resonance imaging (DCE-MRI). Image normalization...

10.1109/embc.2018.8512422 article EN 2018-07-01

IgA nephropathy (IgAN) is one of the most common primary glomerular diseases worldwide, but effective therapy remains limited and many patients progress to end-stage renal disease (ESRD). Only angiotensin-converting enzyme inhibitors (ACE-I)/angiotensin-receptor blockers (ARB) show a high level evidence (1B level) being value in treatment for IgAN according 2012 Kidney Disease: Improving Global Outcomes (KDIGO) guidelines. However, traditional Chinese medicine has raised attention kidney...

10.1186/s13063-016-1774-6 article EN cc-by Trials 2017-04-11

Macro-management is a crucial aspect of real-time strategy (RTS) games like StarCraft II, which involves high-level decision-making processes such as resource allocation, unit production, and technology development. The MSC dataset, presented in the original paper, provided an initial platform for researchers to investigate macro-management tasks using deep learning models. However, there are limitations dataset existing baseline models that call improvement. In this we discuss challenges...

10.53469/jtpes.2023.03(12).05 article EN cc-by-nc Journal of Theory and Practice of Engineering Science 2023-12-29

The novel g-C 3 N 4 –DAPhen adsorbent was synthesized for the selective adsorption of palladium from high level liquid waste.

10.1039/d2en00868h article EN Environmental Science Nano 2022-12-01
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