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home-built program matlab 2021a  (MathWorks Inc)


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    MathWorks Inc home-built program matlab 2021a
    Home Built Program Matlab 2021a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/home-built+program/pm37318232-75-14-14
    Average 90 stars, based on 1 article reviews
    home-built program matlab 2021a - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    other:

    Article Title: Multiscale analysis of equatorial sclera anisotropy: Revealing discrepancies in fiber orientation and mechanical properties.
    Article Snippet: The UE data were processed by MATLAB 2021a (MathWorks, Natick, MA, USA); OCE data were processed by MATLAB 2021a, ImageJ (National Institutes of Health, Bethesda, MD, USA); and PLM images were processed using custom code in Fiji (61).

    Article Title: Optimal micro-grid battery scheduling within a comprehensive smart pricing scheme.
    Article Snippet: The simulations run on Matlab 2021a with an Intel(R) Core (TM) i7-10750H CPU @ 2.60 GHz processor and 16 GB memory.

    Article Title: A dual layer secure and energy-efficient model for border surveillance using sea lion inspired strategy in wireless sensor networks.
    Article Snippet: The network architecture is setup in MATLAB 2021a simulation environment with windows 11 and Intel core 5 processor which includes 500 static, homogeneous nodes randomly deployed within a 1000×1000meter area, with a SN positioned at (200,500) of sensing area and other parameters are shown in Table 2.

    Article Title: High-accuracy tennis players linearly adjust racket impact kinematics according to impact height during a two-handed backhand stroke.
    Article Snippet: We hypothesised that high-accuracy players more linearly coordinate racket kinematics with impact heights under random height conditions than low-accuracy players.. We compared the adjustments of racket kinematics according to impact height between highand low-accuracy players.. Fourteen male tennis players hit the incoming balls with a two-handed backhand at different impact heights (21–108% of body height) to a target area.


    Article Title: An interactive information based DCNN-BiLSTM model with dual attention mechanism for facial expression recognition
    Article Snippet: The proposed approach was implemented in MATLAB 2021a with Windows 10 operating system and Intel i7 processor with 6GB RAM.

    Article Title: Stochastic differential equation modeling approach for grading astrocytomas on brain MRI images.
    Article Snippet: All simulations and data processing were carried out using MATLAB 2021a.

    Nuclear Magnetic Resonance:

    Article Title: In Vivo Quantitative T 1 and T 2 Mapping of Human Breast Tissues Using a Custom-Built 50-mT MRI Prototype.
    Article Snippet: The renewed interest in ultralowfield MRI (< 0.1 T), with its advantages of costeffectiveness and portability, is expected to drive a paradigm shift from traditional MRI scanners to pointofcare imaging systems.. Here, we characterized the in vivo T1 and T2 relaxation times of healthy breast tissues using quantitative MRI at 50 mT to advance the development of ultralowfield breast MRI methodologies.. First, the developed in vivo quantitative mapping protocols were tested and validated using CuSO4doped water phantom experiments on the custombuilt 50mT MRI prototype.



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    (A-C) Images from a 75-year-old male with emphysema. Chest CT (A) shows centrilobular and paraseptal emphysema. Although emphysema is visible in images obtained using MRI with VIBE (B) or <t>CODE</t> (C) sequences, the extent of emphysema is underestimated on CODE imaging. (D-F) Images from a 75-year-old male with idiopathic pulmonary fibrosis and lung cancer. Chest CT (D) shows a subpleural nodule in right lower lobe and honeycombing, traction bronchiectasis, and reticulation in the both lower lobe. The VIBE (E) and CODE (F) images also indicate a subpleural nodule and honeycombing in the right lower lobe, but bronchiectasis and reticulation in the left lower lobe were less clear in the VIBE and <t>CODE</t> <t>images</t> as compared with the CT image.
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    (A-C) Images from a 75-year-old male with emphysema. Chest CT (A) shows centrilobular and paraseptal emphysema. Although emphysema is visible in images obtained using MRI with VIBE (B) or <t>CODE</t> (C) sequences, the extent of emphysema is underestimated on CODE imaging. (D-F) Images from a 75-year-old male with idiopathic pulmonary fibrosis and lung cancer. Chest CT (D) shows a subpleural nodule in right lower lobe and honeycombing, traction bronchiectasis, and reticulation in the both lower lobe. The VIBE (E) and CODE (F) images also indicate a subpleural nodule and honeycombing in the right lower lobe, but bronchiectasis and reticulation in the left lower lobe were less clear in the VIBE and <t>CODE</t> <t>images</t> as compared with the CT image.
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    (A-C) Images from a 75-year-old male with emphysema. Chest CT (A) shows centrilobular and paraseptal emphysema. Although emphysema is visible in images obtained using MRI with VIBE (B) or <t>CODE</t> (C) sequences, the extent of emphysema is underestimated on CODE imaging. (D-F) Images from a 75-year-old male with idiopathic pulmonary fibrosis and lung cancer. Chest CT (D) shows a subpleural nodule in right lower lobe and honeycombing, traction bronchiectasis, and reticulation in the both lower lobe. The VIBE (E) and CODE (F) images also indicate a subpleural nodule and honeycombing in the right lower lobe, but bronchiectasis and reticulation in the left lower lobe were less clear in the VIBE and <t>CODE</t> <t>images</t> as compared with the CT image.
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    (A-C) Images from a 75-year-old male with emphysema. Chest CT (A) shows centrilobular and paraseptal emphysema. Although emphysema is visible in images obtained using MRI with VIBE (B) or <t>CODE</t> (C) sequences, the extent of emphysema is underestimated on CODE imaging. (D-F) Images from a 75-year-old male with idiopathic pulmonary fibrosis and lung cancer. Chest CT (D) shows a subpleural nodule in right lower lobe and honeycombing, traction bronchiectasis, and reticulation in the both lower lobe. The VIBE (E) and CODE (F) images also indicate a subpleural nodule and honeycombing in the right lower lobe, but bronchiectasis and reticulation in the left lower lobe were less clear in the VIBE and <t>CODE</t> <t>images</t> as compared with the CT image.
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    Image Search Results


    (A-C) Images from a 75-year-old male with emphysema. Chest CT (A) shows centrilobular and paraseptal emphysema. Although emphysema is visible in images obtained using MRI with VIBE (B) or CODE (C) sequences, the extent of emphysema is underestimated on CODE imaging. (D-F) Images from a 75-year-old male with idiopathic pulmonary fibrosis and lung cancer. Chest CT (D) shows a subpleural nodule in right lower lobe and honeycombing, traction bronchiectasis, and reticulation in the both lower lobe. The VIBE (E) and CODE (F) images also indicate a subpleural nodule and honeycombing in the right lower lobe, but bronchiectasis and reticulation in the left lower lobe were less clear in the VIBE and CODE images as compared with the CT image.

    Journal: PLOS ONE

    Article Title: Clinical usability of 3D gradient-echo-based ultrashort echo time imaging: Is it enough to facilitate diagnostic decision in real-world practice?

    doi: 10.1371/journal.pone.0296696

    Figure Lengend Snippet: (A-C) Images from a 75-year-old male with emphysema. Chest CT (A) shows centrilobular and paraseptal emphysema. Although emphysema is visible in images obtained using MRI with VIBE (B) or CODE (C) sequences, the extent of emphysema is underestimated on CODE imaging. (D-F) Images from a 75-year-old male with idiopathic pulmonary fibrosis and lung cancer. Chest CT (D) shows a subpleural nodule in right lower lobe and honeycombing, traction bronchiectasis, and reticulation in the both lower lobe. The VIBE (E) and CODE (F) images also indicate a subpleural nodule and honeycombing in the right lower lobe, but bronchiectasis and reticulation in the left lower lobe were less clear in the VIBE and CODE images as compared with the CT image.

    Article Snippet: All CODE images were reconstructed offline with a home-built program using MATLAB (R2011a, MathWorks, Natick, MA, USA).

    Techniques: Imaging

    Chest CT (A), VIBE (B), and CODE (C) MRI at the level of both main bronchi (black arrow) in a 59-year-old male. Both main bronchi appear normal in the chest CT and CODE images, but it appears that there is stenosis in the right main bronchus due to an artifact in the VIBE image. (D-E) The chest CT (D) showed bronchiectasis (black arrow) in the right middle lobe and air trapping (yellow arrow) in the adjacent right upper lobe in a 73-year-old male. Bronchiectasis (black arrow) and air trapping (yellow arrow) are less clearly visible in the VIBE image (E) due to an internal artifact, but is more clearly visible in the CODE image (F).

    Journal: PLOS ONE

    Article Title: Clinical usability of 3D gradient-echo-based ultrashort echo time imaging: Is it enough to facilitate diagnostic decision in real-world practice?

    doi: 10.1371/journal.pone.0296696

    Figure Lengend Snippet: Chest CT (A), VIBE (B), and CODE (C) MRI at the level of both main bronchi (black arrow) in a 59-year-old male. Both main bronchi appear normal in the chest CT and CODE images, but it appears that there is stenosis in the right main bronchus due to an artifact in the VIBE image. (D-E) The chest CT (D) showed bronchiectasis (black arrow) in the right middle lobe and air trapping (yellow arrow) in the adjacent right upper lobe in a 73-year-old male. Bronchiectasis (black arrow) and air trapping (yellow arrow) are less clearly visible in the VIBE image (E) due to an internal artifact, but is more clearly visible in the CODE image (F).

    Article Snippet: All CODE images were reconstructed offline with a home-built program using MATLAB (R2011a, MathWorks, Natick, MA, USA).

    Techniques: