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Showing 1 - 13 results of 13 for search '(( binary marker based optimization algorithm ) OR ( final target dose optimization algorithm ))', query time: 0.62s Refine Results
  1. 1
    One advantage of our algorithm is that it is not binary in nature.

    One advantage of our algorithm is that it is not binary in nature. by Yong Kuk Kim (13955214)

    Published 2022
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  2. 2
    Model results for daily COVID-19 caused deaths after every step of the iterative optimization algorithm.

    Model results for daily COVID-19 caused deaths after every step of the iterative optimization algorithm. by Martin Bicher (10852788)

    Published 2022
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  3. 3
    Model results for daily COVID-19 caused deaths for simulations performed during the second step of the optimization algorithm.

    Model results for daily COVID-19 caused deaths for simulations performed during the second step of the optimization algorithm. by Martin Bicher (10852788)

    Published 2022
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  4. 4
    Accumulated model results for daily COVID-19 caused deaths for all the simulations performed during the iterative optimization.

    Accumulated model results for daily COVID-19 caused deaths for all the simulations performed during the iterative optimization. by Martin Bicher (10852788)

    Published 2022
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  5. 5
    Table_1_Development of a Machine Learning Model for Optimal Applicator Selection in High-Dose-Rate Cervical Brachytherapy.pdf

    Table_1_Development of a Machine Learning Model for Optimal Applicator Selection in High-Dose-Rate Cervical Brachytherapy.pdf by Kailyn Stenhouse (10259801)

    Published 2021
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  6. 6
    Table_1_Development of a Machine Learning Model for Optimal Applicator Selection in High-Dose-Rate Cervical Brachytherapy.pdf

    Table_1_Development of a Machine Learning Model for Optimal Applicator Selection in High-Dose-Rate Cervical Brachytherapy.pdf by Kailyn Stenhouse (10259801)

    Published 2021
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  7. 7
    DataSheet_1_Predicting Lapatinib Dose Regimen Using Machine Learning and Deep Learning Techniques Based on a Real-World Study.docx

    DataSheet_1_Predicting Lapatinib Dose Regimen Using Machine Learning and Deep Learning Techniques Based on a Real-World Study.docx by Ze Yu (1783576)

    Published 2022
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  8. 8
    Methodological scheme for achieving - A study of what exactly is the reason for the long-term use of toxic amygdalin in the social group

    Methodological scheme for achieving - A study of what exactly is the reason for the long-term use of toxic amygdalin in the social group by Vasil Tsanov (16788891)

    Published 2023
    “…<p><b>article</b> - <b>DOI:</b> <a href="http://dx.doi.org/10.2174/1871520620666200313163801" rel="noreferrer" target="_blank">10.2174/1871520620666200313163801</a><br><b>monograph</b> - <b>DOI:</b> <a href="https://doi.org/10.5281/zenodo.7295357" rel="noreferrer" target="_blank">10.5281/zenodo.7295357</a> | ISBN: 978-619-91534-4-4<br><b>ATLAS</b><b> </b>- presentation of the finale information in the most applied and convenient form of application - <b>DOI:</b> <a href="https://doi.org/10.5281/zenodo.8009390" rel="noreferrer" target="_blank">10.5281/zenodo.8009390</a> | ISBN: 978-619-91534-5-1</p><p>... …”
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  9. 9
    DataSheet_2_An integrated solution of deep reinforcement learning for automatic IMRT treatment planning in non-small-cell lung cancer.xlsx

    DataSheet_2_An integrated solution of deep reinforcement learning for automatic IMRT treatment planning in non-small-cell lung cancer.xlsx by Hanlin Wang (240998)

    Published 2023
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  10. 10
    DataSheet_1_An integrated solution of deep reinforcement learning for automatic IMRT treatment planning in non-small-cell lung cancer.xlsx

    DataSheet_1_An integrated solution of deep reinforcement learning for automatic IMRT treatment planning in non-small-cell lung cancer.xlsx by Hanlin Wang (240998)

    Published 2023
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  11. 11
    Presentation_1_Finite Element-Based Personalized Simulation of Duodenal Hydrogel Spacer: Spacer Location Dependent Duodenal Sparing and a Decision Support System for Spacer-Enabled Pancreatic Cancer Radiation Therapy.pptx

    Presentation_1_Finite Element-Based Personalized Simulation of Duodenal Hydrogel Spacer: Spacer Location Dependent Duodenal Sparing and a Decision Support System for Spacer-Enabled... by Hamed Hooshangnejad (12282518)

    Published 2022
    “…Next, stereotactic body radiation therapy (SBRT) plans were designed and dosimetrically analyzed. Finally, in the prediction phase, using the result of the simulation phase, we created a Bayesian DSS to predict the optimal spacer location and biological effective dose (BED).…”
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  12. 12
    Data_Sheet_1_Alzheimer’s Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield and Amygdala Volume of Structural MRI.pdf

    Data_Sheet_1_Alzheimer’s Disease Diagnosis and Biomarker Analysis Using Resting-State Functional MRI Functional Brain Network With Multi-Measures Features and Hippocampal Subfield... by Uttam Khatri (12689072)

    Published 2022
    “…Finally, we implemented and compared the different feature selection algorithms to integrate the structural features, brain networks, and voxel features to optimize the diagnostic identifications of AD using support vector machine (SVM) classifiers. …”
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  13. 13
    Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles

    Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles by Soham Savarkar (21811825)

    Published 2025
    “…</p><p dir="ltr">These biological metrics were used to define a binary toxicity label: entries were classified as toxic (1) or non-toxic (0) based on thresholds from standardized guidelines (e.g., ISO 10993-5:2009) and literature consensus. …”
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