radiomics models Search Results


erstellung und anwendung des radiomics-modells  (Anwendung GmbH)
90
Anwendung GmbH erstellung und anwendung des radiomics-modells
Erstellung Und Anwendung Des Radiomics Modells, supplied by Anwendung 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/result/erstellung und anwendung des radiomics-modells/product/Anwendung GmbH
Average 90 stars, based on 1 article reviews
erstellung und anwendung des radiomics-modells - by Bioz Stars, 2026-03
90/100 stars
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ct radiomics model  (Zhongxing Telecommunication Equipment)
90
Zhongxing Telecommunication Equipment ct radiomics model
Ct Radiomics Model, supplied by Zhongxing Telecommunication Equipment, 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/result/ct radiomics model/product/Zhongxing Telecommunication Equipment
Average 90 stars, based on 1 article reviews
ct radiomics model - by Bioz Stars, 2026-03
90/100 stars
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computed tomography radiomics models  (Zhongxing Telecommunication Equipment)
90
Zhongxing Telecommunication Equipment computed tomography radiomics models
Computed Tomography Radiomics Models, supplied by Zhongxing Telecommunication Equipment, 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/result/computed tomography radiomics models/product/Zhongxing Telecommunication Equipment
Average 90 stars, based on 1 article reviews
computed tomography radiomics models - by Bioz Stars, 2026-03
90/100 stars
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radiomics prediction model  (Beijing Tiantan Biological)
90
Beijing Tiantan Biological radiomics prediction model
The stability of the <t>radiomics</t> prediction models was validated in the prospective validation cohort. ( A ) Flow diagram of glioma patients in the prospective group. A total of 224 glioma patients eligible for the study were screened from the sample of 438 glioma patients from November 2016 to August 2019. ( B ) The heat map shows clinicopathological information of patients in different risk groups in the prospective validation cohort. ( C ) Kaplan–Meier curves show the overall survival of patients in the high-risk group is significantly shorter than those in low-risk group in the prospective validation cohort.
Radiomics Prediction Model, supplied by Beijing Tiantan Biological, 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/result/radiomics prediction model/product/Beijing Tiantan Biological
Average 90 stars, based on 1 article reviews
radiomics prediction model - by Bioz Stars, 2026-03
90/100 stars
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clinical-radiomics model  (ComScore Inc)
90
ComScore Inc clinical-radiomics model
The stability of the <t>radiomics</t> prediction models was validated in the prospective validation cohort. ( A ) Flow diagram of glioma patients in the prospective group. A total of 224 glioma patients eligible for the study were screened from the sample of 438 glioma patients from November 2016 to August 2019. ( B ) The heat map shows clinicopathological information of patients in different risk groups in the prospective validation cohort. ( C ) Kaplan–Meier curves show the overall survival of patients in the high-risk group is significantly shorter than those in low-risk group in the prospective validation cohort.
Clinical Radiomics Model, supplied by ComScore 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/result/clinical-radiomics model/product/ComScore Inc
Average 90 stars, based on 1 article reviews
clinical-radiomics model - by Bioz Stars, 2026-03
90/100 stars
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radiomics models  (Innov X Systems)
90
Innov X Systems radiomics models
Performance of the radiomics and <t> radiomics‐clinical </t> models built using different machine learning approaches.
Radiomics Models, supplied by Innov X Systems, 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/result/radiomics models/product/Innov X Systems
Average 90 stars, based on 1 article reviews
radiomics models - by Bioz Stars, 2026-03
90/100 stars
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radiomics-based random forest model  (Johns Hopkins HealthCare)
90
Johns Hopkins HealthCare radiomics-based random forest model
Performance of the radiomics and <t> radiomics‐clinical </t> models built using different machine learning approaches.
Radiomics Based Random Forest Model, supplied by Johns Hopkins HealthCare, 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/result/radiomics-based random forest model/product/Johns Hopkins HealthCare
Average 90 stars, based on 1 article reviews
radiomics-based random forest model - by Bioz Stars, 2026-03
90/100 stars
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radiomics-based ai model  (Radboud University)
90
Radboud University radiomics-based ai model
Performance of the radiomics and <t> radiomics‐clinical </t> models built using different machine learning approaches.
Radiomics Based Ai Model, supplied by Radboud University, 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/result/radiomics-based ai model/product/Radboud University
Average 90 stars, based on 1 article reviews
radiomics-based ai model - by Bioz Stars, 2026-03
90/100 stars
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low-dose ct-based radiomic model  (Rundo Cronova)
90
Rundo Cronova low-dose ct-based radiomic model
Performance of the radiomics and <t> radiomics‐clinical </t> models built using different machine learning approaches.
Low Dose Ct Based Radiomic Model, supplied by Rundo Cronova, 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/result/low-dose ct-based radiomic model/product/Rundo Cronova
Average 90 stars, based on 1 article reviews
low-dose ct-based radiomic model - by Bioz Stars, 2026-03
90/100 stars
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radiomics models  (Diagnos Inc)
90
Diagnos Inc radiomics models
Performance of the radiomics and <t> radiomics‐clinical </t> models built using different machine learning approaches.
Radiomics Models, supplied by Diagnos 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/result/radiomics models/product/Diagnos Inc
Average 90 stars, based on 1 article reviews
radiomics models - by Bioz Stars, 2026-03
90/100 stars
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adc radiomics model  (Diagnos Inc)
90
Diagnos Inc adc radiomics model
Performance of the radiomics and <t> radiomics‐clinical </t> models built using different machine learning approaches.
Adc Radiomics Model, supplied by Diagnos 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/result/adc radiomics model/product/Diagnos Inc
Average 90 stars, based on 1 article reviews
adc radiomics model - by Bioz Stars, 2026-03
90/100 stars
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hand radiomeer model 200 (serial no, 2171/2019  (Rolence Enterprise Inc)
90
Rolence Enterprise Inc hand radiomeer model 200 (serial no, 2171/2019
Performance of the radiomics and <t> radiomics‐clinical </t> models built using different machine learning approaches.
Hand Radiomeer Model 200 (Serial No, 2171/2019, supplied by Rolence Enterprise 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/result/hand radiomeer model 200 (serial no, 2171/2019/product/Rolence Enterprise Inc
Average 90 stars, based on 1 article reviews
hand radiomeer model 200 (serial no, 2171/2019 - by Bioz Stars, 2026-03
90/100 stars
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Image Search Results


The stability of the radiomics prediction models was validated in the prospective validation cohort. ( A ) Flow diagram of glioma patients in the prospective group. A total of 224 glioma patients eligible for the study were screened from the sample of 438 glioma patients from November 2016 to August 2019. ( B ) The heat map shows clinicopathological information of patients in different risk groups in the prospective validation cohort. ( C ) Kaplan–Meier curves show the overall survival of patients in the high-risk group is significantly shorter than those in low-risk group in the prospective validation cohort.

Journal: Brain

Article Title: An MRI radiomics approach to predict survival and tumour-infiltrating macrophages in gliomas

doi: 10.1093/brain/awab340

Figure Lengend Snippet: The stability of the radiomics prediction models was validated in the prospective validation cohort. ( A ) Flow diagram of glioma patients in the prospective group. A total of 224 glioma patients eligible for the study were screened from the sample of 438 glioma patients from November 2016 to August 2019. ( B ) The heat map shows clinicopathological information of patients in different risk groups in the prospective validation cohort. ( C ) Kaplan–Meier curves show the overall survival of patients in the high-risk group is significantly shorter than those in low-risk group in the prospective validation cohort.

Article Snippet: To further validate the concordance and reproducibility of the radiomics prediction model, a single-institutional prospective analysis was performed at Beijing Tiantan Hospital.

Techniques: Biomarker Discovery

Performance of the radiomics and radiomics‐clinical models built using different machine learning approaches.

Journal: Cancer Innovation

Article Title: Radiomics models to predict bone marrow metastasis of neuroblastoma using CT

doi: 10.1002/cai2.135

Figure Lengend Snippet: Performance of the radiomics and radiomics‐clinical models built using different machine learning approaches.

Article Snippet: Chen X , Chen Q , Liu Y , Qiu Y , Lv L , Zhang Z , et al. Radiomics models to predict bone marrow metastasis of neuroblastoma using CT . Cancer Innov .

Techniques: Biomarker Discovery

Diagnostic performance of radiomics‐clinical models. (a) Receiver operating characteristics (ROC) curves and area under the curves (AUCs) of the top three radiomics‐clinical models applied to the training set. (b) ROC curves and AUCs of the top three radiomics‐clinical models applied to the validation set. (c–h) Calibration curves of the top three radiomics‐clinical models for the training and validation sets. (i–k) Radar plots of the top three radiomics‐clinical models showing the most important features and their coefficients.

Journal: Cancer Innovation

Article Title: Radiomics models to predict bone marrow metastasis of neuroblastoma using CT

doi: 10.1002/cai2.135

Figure Lengend Snippet: Diagnostic performance of radiomics‐clinical models. (a) Receiver operating characteristics (ROC) curves and area under the curves (AUCs) of the top three radiomics‐clinical models applied to the training set. (b) ROC curves and AUCs of the top three radiomics‐clinical models applied to the validation set. (c–h) Calibration curves of the top three radiomics‐clinical models for the training and validation sets. (i–k) Radar plots of the top three radiomics‐clinical models showing the most important features and their coefficients.

Article Snippet: Chen X , Chen Q , Liu Y , Qiu Y , Lv L , Zhang Z , et al. Radiomics models to predict bone marrow metastasis of neuroblastoma using CT . Cancer Innov .

Techniques: Diagnostic Assay, Biomarker Discovery

Risk deciles of the radiomics‐clinical models represented as bar plots (observed vs. predicted risk) for the training and validation sets. Observed risk means the true bone marrow status of patients, the results of bone marrow aspiration, biopsy, or PET/CT scan. Predicted risk means the probability of bone marrow metastasis predicted by the machine learning approaches. (a) MLP in the training set, (b) XGB in the training set, (c) LR in the training set, (d) MLP in the validation set, (e) XGB in the validation set, and (f) LR in the validation set. CT, computed tomography; LR, logistic regression; MLP, multilayer perception; PET, positron emission tomography; XGB, XGBoost.

Journal: Cancer Innovation

Article Title: Radiomics models to predict bone marrow metastasis of neuroblastoma using CT

doi: 10.1002/cai2.135

Figure Lengend Snippet: Risk deciles of the radiomics‐clinical models represented as bar plots (observed vs. predicted risk) for the training and validation sets. Observed risk means the true bone marrow status of patients, the results of bone marrow aspiration, biopsy, or PET/CT scan. Predicted risk means the probability of bone marrow metastasis predicted by the machine learning approaches. (a) MLP in the training set, (b) XGB in the training set, (c) LR in the training set, (d) MLP in the validation set, (e) XGB in the validation set, and (f) LR in the validation set. CT, computed tomography; LR, logistic regression; MLP, multilayer perception; PET, positron emission tomography; XGB, XGBoost.

Article Snippet: Chen X , Chen Q , Liu Y , Qiu Y , Lv L , Zhang Z , et al. Radiomics models to predict bone marrow metastasis of neuroblastoma using CT . Cancer Innov .

Techniques: Biomarker Discovery, Positron Emission Tomography-Computed Tomography, Computed Tomography, Positron Emission Tomography

Results of t tests of the models' prediction of metastasis and nonmetastasis neuroblastoma patients in the training and validation sets. (a) MLP‐based radiomics model; (b) MLP‐based radiomics‐clinical model; (c) RF‐based radiomics model; (d) XGB‐based radiomics‐clinical model; (e) XGB‐based radiomics model; and (f) LR‐based radiomics‐clinical model. LR, logistic regression; MLP, multilayer perception; RF, random forest; XGB, XGBoost. *** p < 0.001.

Journal: Cancer Innovation

Article Title: Radiomics models to predict bone marrow metastasis of neuroblastoma using CT

doi: 10.1002/cai2.135

Figure Lengend Snippet: Results of t tests of the models' prediction of metastasis and nonmetastasis neuroblastoma patients in the training and validation sets. (a) MLP‐based radiomics model; (b) MLP‐based radiomics‐clinical model; (c) RF‐based radiomics model; (d) XGB‐based radiomics‐clinical model; (e) XGB‐based radiomics model; and (f) LR‐based radiomics‐clinical model. LR, logistic regression; MLP, multilayer perception; RF, random forest; XGB, XGBoost. *** p < 0.001.

Article Snippet: Chen X , Chen Q , Liu Y , Qiu Y , Lv L , Zhang Z , et al. Radiomics models to predict bone marrow metastasis of neuroblastoma using CT . Cancer Innov .

Techniques: Biomarker Discovery