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Staples online calculator
Online Calculator, supplied by Staples, 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/online+calculator/calculator/pm41022312-189-9-2
Average 86 stars, based on 1 article reviews
online calculator - by Bioz Stars, 2026-10
86/100 stars

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Related Articles

Methylation:

Article Title: Evaluation Of Presurgical Outcome Predictors In Oncological Neurosurgery.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.

Article Title: Correction to: Voxel-wise glioblastoma-survival mapping: new tool, new questions.
Article Snippet: Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, Gormley WB, Smith TR, Broekman ML, Arnaout O (2020) An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Letter: An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Imaging Analytics using Artificial Intelligence in Oncology: A Comprehensive Review.
Article Snippet: The present era has seen a surge in artificial intelligence-related research in oncology, mainly using deep learning, because of powerful computer hardware, improved algorithms and the availability of large amounts of data from open-source domains and the use of transfer learning.. Here we discuss the multifaceted role of deep learning in cancer care, ranging from risk stratification, the screening and diagnosis of cancer, to the prediction of genomic mutations, treatment response and survival outcome prediction, through the use of convolutional neural networks.. Another role of artificial intelligence is in the generation of automated radiology reports, which is a boon in high-volume centres to minimise report turnaround time.

Article Title: Long-Term Time Series Forecasting and Updates on Survival Analysis of Glioblastoma Multiforme: A 1975-2018 Population-Based Study.
Article Snippet: 13 Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Magnetic Resonance Imaging:

Article Title: Evaluation Of Presurgical Outcome Predictors In Oncological Neurosurgery.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.

Article Title: Correction to: Voxel-wise glioblastoma-survival mapping: new tool, new questions.
Article Snippet: Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, Gormley WB, Smith TR, Broekman ML, Arnaout O (2020) An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Letter: An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Imaging Analytics using Artificial Intelligence in Oncology: A Comprehensive Review.
Article Snippet: The present era has seen a surge in artificial intelligence-related research in oncology, mainly using deep learning, because of powerful computer hardware, improved algorithms and the availability of large amounts of data from open-source domains and the use of transfer learning.. Here we discuss the multifaceted role of deep learning in cancer care, ranging from risk stratification, the screening and diagnosis of cancer, to the prediction of genomic mutations, treatment response and survival outcome prediction, through the use of convolutional neural networks.. Another role of artificial intelligence is in the generation of automated radiology reports, which is a boon in high-volume centres to minimise report turnaround time.

Article Title: Long-Term Time Series Forecasting and Updates on Survival Analysis of Glioblastoma Multiforme: A 1975-2018 Population-Based Study.
Article Snippet: 13 Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Biomarker Discovery:

Article Title: Evaluation Of Presurgical Outcome Predictors In Oncological Neurosurgery.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.

Article Title: Correction to: Voxel-wise glioblastoma-survival mapping: new tool, new questions.
Article Snippet: Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, Gormley WB, Smith TR, Broekman ML, Arnaout O (2020) An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Letter: An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Imaging Analytics using Artificial Intelligence in Oncology: A Comprehensive Review.
Article Snippet: The present era has seen a surge in artificial intelligence-related research in oncology, mainly using deep learning, because of powerful computer hardware, improved algorithms and the availability of large amounts of data from open-source domains and the use of transfer learning.. Here we discuss the multifaceted role of deep learning in cancer care, ranging from risk stratification, the screening and diagnosis of cancer, to the prediction of genomic mutations, treatment response and survival outcome prediction, through the use of convolutional neural networks.. Another role of artificial intelligence is in the generation of automated radiology reports, which is a boon in high-volume centres to minimise report turnaround time.

Article Title: Long-Term Time Series Forecasting and Updates on Survival Analysis of Glioblastoma Multiforme: A 1975-2018 Population-Based Study.
Article Snippet: 13 Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Imaging:

Article Title: Evaluation Of Presurgical Outcome Predictors In Oncological Neurosurgery.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.

Article Title: Correction to: Voxel-wise glioblastoma-survival mapping: new tool, new questions.
Article Snippet: Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, Gormley WB, Smith TR, Broekman ML, Arnaout O (2020) An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Letter: An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Imaging Analytics using Artificial Intelligence in Oncology: A Comprehensive Review.
Article Snippet: The present era has seen a surge in artificial intelligence-related research in oncology, mainly using deep learning, because of powerful computer hardware, improved algorithms and the availability of large amounts of data from open-source domains and the use of transfer learning.. Here we discuss the multifaceted role of deep learning in cancer care, ranging from risk stratification, the screening and diagnosis of cancer, to the prediction of genomic mutations, treatment response and survival outcome prediction, through the use of convolutional neural networks.. Another role of artificial intelligence is in the generation of automated radiology reports, which is a boon in high-volume centres to minimise report turnaround time.

Article Title: Long-Term Time Series Forecasting and Updates on Survival Analysis of Glioblastoma Multiforme: A 1975-2018 Population-Based Study.
Article Snippet: 13 Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Targeted Gene Expression:

Article Title: Evaluation Of Presurgical Outcome Predictors In Oncological Neurosurgery.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.

Article Title: Correction to: Voxel-wise glioblastoma-survival mapping: new tool, new questions.
Article Snippet: Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, Gormley WB, Smith TR, Broekman ML, Arnaout O (2020) An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Letter: An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Imaging Analytics using Artificial Intelligence in Oncology: A Comprehensive Review.
Article Snippet: The present era has seen a surge in artificial intelligence-related research in oncology, mainly using deep learning, because of powerful computer hardware, improved algorithms and the availability of large amounts of data from open-source domains and the use of transfer learning.. Here we discuss the multifaceted role of deep learning in cancer care, ranging from risk stratification, the screening and diagnosis of cancer, to the prediction of genomic mutations, treatment response and survival outcome prediction, through the use of convolutional neural networks.. Another role of artificial intelligence is in the generation of automated radiology reports, which is a boon in high-volume centres to minimise report turnaround time.

Article Title: Long-Term Time Series Forecasting and Updates on Survival Analysis of Glioblastoma Multiforme: A 1975-2018 Population-Based Study.
Article Snippet: 13 Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Filtration:

Article Title: Evaluation Of Presurgical Outcome Predictors In Oncological Neurosurgery.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.

Article Title: Correction to: Voxel-wise glioblastoma-survival mapping: new tool, new questions.
Article Snippet: Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, Gormley WB, Smith TR, Broekman ML, Arnaout O (2020) An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Letter: An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Imaging Analytics using Artificial Intelligence in Oncology: A Comprehensive Review.
Article Snippet: The present era has seen a surge in artificial intelligence-related research in oncology, mainly using deep learning, because of powerful computer hardware, improved algorithms and the availability of large amounts of data from open-source domains and the use of transfer learning.. Here we discuss the multifaceted role of deep learning in cancer care, ranging from risk stratification, the screening and diagnosis of cancer, to the prediction of genomic mutations, treatment response and survival outcome prediction, through the use of convolutional neural networks.. Another role of artificial intelligence is in the generation of automated radiology reports, which is a boon in high-volume centres to minimise report turnaround time.

Article Title: Long-Term Time Series Forecasting and Updates on Survival Analysis of Glioblastoma Multiforme: A 1975-2018 Population-Based Study.
Article Snippet: 13 Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Comparison:

Article Title: Evaluation Of Presurgical Outcome Predictors In Oncological Neurosurgery.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.

Article Title: Correction to: Voxel-wise glioblastoma-survival mapping: new tool, new questions.
Article Snippet: Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, Gormley WB, Smith TR, Broekman ML, Arnaout O (2020) An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Letter: An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Imaging Analytics using Artificial Intelligence in Oncology: A Comprehensive Review.
Article Snippet: The present era has seen a surge in artificial intelligence-related research in oncology, mainly using deep learning, because of powerful computer hardware, improved algorithms and the availability of large amounts of data from open-source domains and the use of transfer learning.. Here we discuss the multifaceted role of deep learning in cancer care, ranging from risk stratification, the screening and diagnosis of cancer, to the prediction of genomic mutations, treatment response and survival outcome prediction, through the use of convolutional neural networks.. Another role of artificial intelligence is in the generation of automated radiology reports, which is a boon in high-volume centres to minimise report turnaround time.

Article Title: Long-Term Time Series Forecasting and Updates on Survival Analysis of Glioblastoma Multiforme: A 1975-2018 Population-Based Study.
Article Snippet: 13 Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Modification:

Article Title: Evaluation Of Presurgical Outcome Predictors In Oncological Neurosurgery.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.

Article Title: Correction to: Voxel-wise glioblastoma-survival mapping: new tool, new questions.
Article Snippet: Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, Gormley WB, Smith TR, Broekman ML, Arnaout O (2020) An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Letter: An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Imaging Analytics using Artificial Intelligence in Oncology: A Comprehensive Review.
Article Snippet: The present era has seen a surge in artificial intelligence-related research in oncology, mainly using deep learning, because of powerful computer hardware, improved algorithms and the availability of large amounts of data from open-source domains and the use of transfer learning.. Here we discuss the multifaceted role of deep learning in cancer care, ranging from risk stratification, the screening and diagnosis of cancer, to the prediction of genomic mutations, treatment response and survival outcome prediction, through the use of convolutional neural networks.. Another role of artificial intelligence is in the generation of automated radiology reports, which is a boon in high-volume centres to minimise report turnaround time.

Article Title: Long-Term Time Series Forecasting and Updates on Survival Analysis of Glioblastoma Multiforme: A 1975-2018 Population-Based Study.
Article Snippet: 13 Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Expressing:

Article Title: Evaluation Of Presurgical Outcome Predictors In Oncological Neurosurgery.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.

Article Title: Correction to: Voxel-wise glioblastoma-survival mapping: new tool, new questions.
Article Snippet: Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, Gormley WB, Smith TR, Broekman ML, Arnaout O (2020) An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Letter: An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Imaging Analytics using Artificial Intelligence in Oncology: A Comprehensive Review.
Article Snippet: The present era has seen a surge in artificial intelligence-related research in oncology, mainly using deep learning, because of powerful computer hardware, improved algorithms and the availability of large amounts of data from open-source domains and the use of transfer learning.. Here we discuss the multifaceted role of deep learning in cancer care, ranging from risk stratification, the screening and diagnosis of cancer, to the prediction of genomic mutations, treatment response and survival outcome prediction, through the use of convolutional neural networks.. Another role of artificial intelligence is in the generation of automated radiology reports, which is a boon in high-volume centres to minimise report turnaround time.

Article Title: Long-Term Time Series Forecasting and Updates on Survival Analysis of Glioblastoma Multiforme: A 1975-2018 Population-Based Study.
Article Snippet: 13 Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Selection:

Article Title: Evaluation Of Presurgical Outcome Predictors In Oncological Neurosurgery.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.

Article Title: Correction to: Voxel-wise glioblastoma-survival mapping: new tool, new questions.
Article Snippet: Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, Gormley WB, Smith TR, Broekman ML, Arnaout O (2020) An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Letter: An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Imaging Analytics using Artificial Intelligence in Oncology: A Comprehensive Review.
Article Snippet: The present era has seen a surge in artificial intelligence-related research in oncology, mainly using deep learning, because of powerful computer hardware, improved algorithms and the availability of large amounts of data from open-source domains and the use of transfer learning.. Here we discuss the multifaceted role of deep learning in cancer care, ranging from risk stratification, the screening and diagnosis of cancer, to the prediction of genomic mutations, treatment response and survival outcome prediction, through the use of convolutional neural networks.. Another role of artificial intelligence is in the generation of automated radiology reports, which is a boon in high-volume centres to minimise report turnaround time.

Article Title: Long-Term Time Series Forecasting and Updates on Survival Analysis of Glioblastoma Multiforme: A 1975-2018 Population-Based Study.
Article Snippet: 13 Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Labeling:

Article Title: Evaluation Of Presurgical Outcome Predictors In Oncological Neurosurgery.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.

Article Title: Correction to: Voxel-wise glioblastoma-survival mapping: new tool, new questions.
Article Snippet: Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, Gormley WB, Smith TR, Broekman ML, Arnaout O (2020) An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Letter: An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Imaging Analytics using Artificial Intelligence in Oncology: A Comprehensive Review.
Article Snippet: The present era has seen a surge in artificial intelligence-related research in oncology, mainly using deep learning, because of powerful computer hardware, improved algorithms and the availability of large amounts of data from open-source domains and the use of transfer learning.. Here we discuss the multifaceted role of deep learning in cancer care, ranging from risk stratification, the screening and diagnosis of cancer, to the prediction of genomic mutations, treatment response and survival outcome prediction, through the use of convolutional neural networks.. Another role of artificial intelligence is in the generation of automated radiology reports, which is a boon in high-volume centres to minimise report turnaround time.

Article Title: Long-Term Time Series Forecasting and Updates on Survival Analysis of Glioblastoma Multiforme: A 1975-2018 Population-Based Study.
Article Snippet: 13 Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Protein-Protein interactions:

Article Title: Evaluation Of Presurgical Outcome Predictors In Oncological Neurosurgery.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.

Article Title: Correction to: Voxel-wise glioblastoma-survival mapping: new tool, new questions.
Article Snippet: Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, Gormley WB, Smith TR, Broekman ML, Arnaout O (2020) An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Letter: An Online Calculator for the Prediction of Survival in Glioblastoma Patients Using Classical Statistics and Machine Learning.
Article Snippet: Senders JT, Staples P, Mehrtash A, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.

Article Title: Imaging Analytics using Artificial Intelligence in Oncology: A Comprehensive Review.
Article Snippet: The present era has seen a surge in artificial intelligence-related research in oncology, mainly using deep learning, because of powerful computer hardware, improved algorithms and the availability of large amounts of data from open-source domains and the use of transfer learning.. Here we discuss the multifaceted role of deep learning in cancer care, ranging from risk stratification, the screening and diagnosis of cancer, to the prediction of genomic mutations, treatment response and survival outcome prediction, through the use of convolutional neural networks.. Another role of artificial intelligence is in the generation of automated radiology reports, which is a boon in high-volume centres to minimise report turnaround time.

Article Title: Long-Term Time Series Forecasting and Updates on Survival Analysis of Glioblastoma Multiforme: A 1975-2018 Population-Based Study.
Article Snippet: 13 Senders JT, Staples P, Mehrtash A, Cote DJ, Taphoorn MJB, Reardon DA, et al. An online calculator for the prediction of survival in glioblastoma patients using classical statistics and machine learning.



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