Review



open source scorecard metrics eclipse scripting application programming interface esapi plugin  (Varian Medical)

 
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 86
      Buy from Supplier

    Structured Review

    Varian Medical open source scorecard metrics eclipse scripting application programming interface esapi plugin
    Open Source Scorecard Metrics Eclipse Scripting Application Programming Interface Esapi Plugin, supplied by Varian Medical, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/open-source+script/application+eclipse+interface+programming+scripting/pmc13282027-113-7-24
    Average 86 stars, based on 1 article reviews
    open source scorecard metrics eclipse scripting application programming interface esapi plugin - by Bioz Stars, 2026-09
    86/100 stars

    Images

    Related Articles

    other:

    Article Title: Batch Export: An automated framework for curated data extraction via the Eclipse treatment planning system.
    Article Snippet: To obtain patient plans for viewing, Varian’s Eclipse Scripting Application Programming Interface (ESAPI version 16) (Varian Medical Systems, Palo Alto, CA), specifically a Python wrapper, PyESAPI, was used.

    Article Title: Feasibility and impact of knowledge-based automated radiotherapy treatment planning in low- and middle-income countries
    Article Snippet: The plans were also evaluated using Eclipse Scripting PlanScoreCard ® (Varian Medical Affairs Applied Solutions GitHub), a scoring mechanism that objectively quantifies dosimetric plan quality [ ].

    Software:

    Article Title: A reirradiation workflow for managing patients with treatments planned in a multi-TPS environment
    Article Snippet: .. Workflows based on clinically-available software by Varian Medical Systems – Radiation Oncology Information System (ROIS) = ARIA, TPS = Eclipse, and the Eclipse Scripting Application Programming Interface (ESAPI) – have been demonstrated , , , , as well as modifications using in-house Matlab tools and other approaches using Pinnacle , . ..

    Article Title: Systematic comparison of manual, knowledge-based, and feasibility DVH approaches for prostate VMAT: stability and robustness.
    Article Snippet: 1 Graduate School of Health Sciences, Faculty of Medicine, Tokushima University, 3-18-15 Kuramoto-cho, Tokushima, Tokushima 770-8503, Japan 2 Graduate School of Biomedical Sciences, Tokushima University, 3-18-15 Kuramoto-cho, Tokushima, Tokushima 770-8503, Japan 3 Toyo-Medic Co., Ltd., 3-8-5 Iidabashi, Chiyoada-ku, Tokyo 102-0072, Japan 4 Radioisotope Research Center, Nagoya University, 65 Tsurumai-cho, Showa-ku, Nagoya, Aichi 464-8602, Japan 5 Department of Radiology, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, Aichi 466-8560, Japan 6 Department of Radiotherapy, Medical Co. Hakuhokai, Osaka Proton Therapy Clinic, 27-9 Kasugadenaka 1 Chome, Konohana-ku, Osaka, Osaka 554-0022, Japan 7 Medical Physics Laboratory, Division of Health Science, Graduate School of Medicine, The University of Osaka, 1-7 Yamadaoka, Suita-Shi, Osaka 565-0871, Japan Abstract This study presents the first head-to-head comparison of Manual optimization, knowledge-based planning (KBP; RapidPlan), and feasibility DVH-guided planning (FDVH; PlanIQ) for prostate volumetric-modulated arc therapy (VMAT).. While previous reports have evaluated knowledge-based or feasibility-based planning separately, no prior work has directly compared all three approaches within the same patient cohort.. In this investigation, treatment plans were generated for 12 patients using each strategy (36 nominal plans in total), and plan quality, stability under nominal conditions, and robustness under simulated isocenter shifts were systematically evaluated.



    Similar Products

    open source scorecard metrics eclipse scripting application programming interface esapi plugin  (Varian Medical)
    86
    Varian Medical open source scorecard metrics eclipse scripting application programming interface esapi plugin
    Open Source Scorecard Metrics Eclipse Scripting Application Programming Interface Esapi Plugin, supplied by Varian Medical, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/open-source+script/application+eclipse+interface+programming+scripting/pmc13282027-113-7-24
    Average 86 stars, based on 1 article reviews
    open source scorecard metrics eclipse scripting application programming interface esapi plugin - by Bioz Stars, 2026-09
    86/100 stars
    		  Buy from Supplier
    open-source script  (MathWorks Inc)
    90
    MathWorks Inc open-source script
    Open Source Script, 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/open-source+script/pm40503957-190-7-10
    Average 90 stars, based on 1 article reviews
    open-source script - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier
    r script running in the open-source rstudio program version 2024.09.0+375  (RStudio)
    90
    RStudio r script running in the open-source rstudio program version 2024.09.0+375
    R Script Running In The Open Source Rstudio Program Version 2024.09.0+375, supplied by RStudio, 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/open-source+script/rstudio+version+1+3+1093/pmc12030427-99-24-30
    Average 90 stars, based on 1 article reviews
    r script running in the open-source rstudio program version 2024.09.0+375 - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier
    adapted open-source matlab script  (MathWorks Inc)
    90
    MathWorks Inc adapted open-source matlab script
    Adapted Open Source Matlab Script, 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/open-source+script/pmc11948067-207-13-14
    Average 90 stars, based on 1 article reviews
    adapted open-source matlab script - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier
    open-source script for  (MathWorks Inc)
    90
    MathWorks Inc open-source script for
    Open Source Script For, 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/open-source+script/pmc11877637-58-10-13
    Average 90 stars, based on 1 article reviews
    open-source script for - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier
    matlab open-source scripts  (MathWorks Inc)
    90
    MathWorks Inc matlab open-source scripts
    Matlab Open Source Scripts, 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/open-source+script/10__62617_slash_mcb__v21__162-116-13-7
    Average 90 stars, based on 1 article reviews
    matlab open-source scripts - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier
    open-source matlab script (paired-samples t-test) of one-dimensional spm (spm 1d)  (MathWorks Inc)
    90
    MathWorks Inc open-source matlab script (paired-samples t-test) of one-dimensional spm (spm 1d)
    Overview of the proposed workflow for data collection, classification, and explanation in automated landing pattern recognition. A The single-leg landing movements of the subjects before and after the fatigue intervention were collected, and <t>the</t> <t>three-dimensional</t> kinematics and kinetics data of the landing leg during the landing phase were used as the input data of the model. B The three-dimensional kinematics and kinetics data as input signals to explore the recognizability of the two class landing patterns by three classical classification and recognition algorithm models and ZeroR classifier. C The ANN with the best performance in classification and recognition accuracy between classes was used as the forward propagation classifier to compute the input signals, and the output signals of ANN were used as the input of LRP to calculate the RS that can explain the difference of landing patterns through backward propagation. D The application of <t>1-SPM</t> to evaluate the LRP results from a statistical perspective. E The results of these two aspects were evaluated and discussed together.
    Open Source Matlab Script (Paired Samples T Test) Of One Dimensional Spm (Spm 1d), 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/open-source+script/pmc10869904-124-13-7
    Average 90 stars, based on 1 article reviews
    open-source matlab script (paired-samples t-test) of one-dimensional spm (spm 1d) - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier
    modified version of an open-source matlab script eigenshuffle.m74  (MathWorks Inc)
    90
    MathWorks Inc modified version of an open-source matlab script eigenshuffle.m74
    Overview of the proposed workflow for data collection, classification, and explanation in automated landing pattern recognition. A The single-leg landing movements of the subjects before and after the fatigue intervention were collected, and <t>the</t> <t>three-dimensional</t> kinematics and kinetics data of the landing leg during the landing phase were used as the input data of the model. B The three-dimensional kinematics and kinetics data as input signals to explore the recognizability of the two class landing patterns by three classical classification and recognition algorithm models and ZeroR classifier. C The ANN with the best performance in classification and recognition accuracy between classes was used as the forward propagation classifier to compute the input signals, and the output signals of ANN were used as the input of LRP to calculate the RS that can explain the difference of landing patterns through backward propagation. D The application of <t>1-SPM</t> to evaluate the LRP results from a statistical perspective. E The results of these two aspects were evaluated and discussed together.
    Modified Version Of An Open Source Matlab Script Eigenshuffle.M74, 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/open-source+script/pm36635498-739-29-30
    Average 90 stars, based on 1 article reviews
    modified version of an open-source matlab script eigenshuffle.m74 - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier
    r open source scripting software comprehensive r archive network  (Schwarzer GmbH)
    90
    Schwarzer GmbH r open source scripting software comprehensive r archive network
    Overview of the proposed workflow for data collection, classification, and explanation in automated landing pattern recognition. A The single-leg landing movements of the subjects before and after the fatigue intervention were collected, and <t>the</t> <t>three-dimensional</t> kinematics and kinetics data of the landing leg during the landing phase were used as the input data of the model. B The three-dimensional kinematics and kinetics data as input signals to explore the recognizability of the two class landing patterns by three classical classification and recognition algorithm models and ZeroR classifier. C The ANN with the best performance in classification and recognition accuracy between classes was used as the forward propagation classifier to compute the input signals, and the output signals of ANN were used as the input of LRP to calculate the RS that can explain the difference of landing patterns through backward propagation. D The application of <t>1-SPM</t> to evaluate the LRP results from a statistical perspective. E The results of these two aspects were evaluated and discussed together.
    R Open Source Scripting Software Comprehensive R Archive Network, supplied by Schwarzer GmbH, 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/open-source+script/r+software/pm36336025-43-5-26
    Average 90 stars, based on 1 article reviews
    r open source scripting software comprehensive r archive network - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Overview of the proposed workflow for data collection, classification, and explanation in automated landing pattern recognition. A The single-leg landing movements of the subjects before and after the fatigue intervention were collected, and the three-dimensional kinematics and kinetics data of the landing leg during the landing phase were used as the input data of the model. B The three-dimensional kinematics and kinetics data as input signals to explore the recognizability of the two class landing patterns by three classical classification and recognition algorithm models and ZeroR classifier. C The ANN with the best performance in classification and recognition accuracy between classes was used as the forward propagation classifier to compute the input signals, and the output signals of ANN were used as the input of LRP to calculate the RS that can explain the difference of landing patterns through backward propagation. D The application of 1-SPM to evaluate the LRP results from a statistical perspective. E The results of these two aspects were evaluated and discussed together.

    Journal: Heliyon

    Article Title: A new method applied for explaining the landing patterns: Interpretability analysis of machine learning

    doi: 10.1016/j.heliyon.2024.e26052

    Figure Lengend Snippet: Overview of the proposed workflow for data collection, classification, and explanation in automated landing pattern recognition. A The single-leg landing movements of the subjects before and after the fatigue intervention were collected, and the three-dimensional kinematics and kinetics data of the landing leg during the landing phase were used as the input data of the model. B The three-dimensional kinematics and kinetics data as input signals to explore the recognizability of the two class landing patterns by three classical classification and recognition algorithm models and ZeroR classifier. C The ANN with the best performance in classification and recognition accuracy between classes was used as the forward propagation classifier to compute the input signals, and the output signals of ANN were used as the input of LRP to calculate the RS that can explain the difference of landing patterns through backward propagation. D The application of 1-SPM to evaluate the LRP results from a statistical perspective. E The results of these two aspects were evaluated and discussed together.

    Article Snippet: For the implementation of SPM, the open-source MATLAB script (paired-samples T-test) of One-Dimensional SPM (SPM 1D) was employed to test the statistical differences, and the significance threshold was set as 0.05 [ , ].

    Techniques: