ArticleBrainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop)2018
Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma.
Article in Brainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Reproducibility analysis of multi-institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset.Medical physics · 2020Pooled it
- An Unsupervised Brain Extraction Quality Control Approach for Efficient Neuro-Oncology Studies.Journal of imaging informatics in medicine · 2026Article
- Development of a prognostic multiomic biomarker of progression-free survival in advanced non-small cell lung cancer patients treated with first line immunotherapy.Scientific reports · 2025Article
- Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.Nature communications · 2025Article
- Multimodal MRI radiomics based on habitat subregions of the tumor microenvironment for predicting risk stratification in glioblastoma.PloS one · 2025Article
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- Repurposing the Public BraTS Dataset for Postoperative Brain Tumour Treatment Response Monitoring.Tomography (Ann Arbor, Mich.) · 2024Article
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- Identification of phenomic data in the pathogenesis of cancers of the gastrointestinal (GI) tract in the UK biobank.Scientific reports · 2024Article
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- MRI-Based Deep Learning Tools for MGMT Promoter Methylation Detection: A Thorough Evaluation.Cancers · 2023Article
- Radiogenomic classification for MGMT promoter methylation status using multi-omics fused feature space for least invasive diagnosis through mpMRI scans.Scientific reports · 2023Article
- Resampling and harmonization for mitigation of heterogeneity in image parameters of baseline scans.Scientific reports · 2022Article
- Federated learning enables big data for rare cancer boundary detection.Nature communications · 2022Article
- The federated tumor segmentation (FeTS) tool: an open-source solution to further solid tumor research.Physics in medicine and biology · 2022Article
- Synthetic MRI improves radiomics-based glioblastoma survival prediction.NMR in biomedicine · 2022Article
- Expert tumor annotations and radiomics for locally advanced breast cancer in DCE-MRI for ACRIN 6657/I-SPY1.Scientific data · 2022Article
- Development of a robust radiomic biomarker of progression-free survival in advanced non-small cell lung cancer patients treated with first-line immunotherapy.Scientific reports · 2022Article
- Enhancing the REMBRANDT MRI collection with expert segmentation labels and quantitative radiomic features.Scientific data · 2022Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
Quantitative research, especially in the field of radio(geno)mics, has helped us understand fundamental mechanisms of neurologic diseases. Such research is integrally based on advanced algorithms to derive extensive radiomic features and integrate them into diagnostic and predictive models. To exploit the benefit of such complex algorithms, their swift translation into clinical practice is required, currently hindered by their complicated nature. brain-CaPTk is a modular platform, with components spanning across image processing, segmentation, feature extraction, and machine learning, that facilitates such translation, enabling quantitative analyses without requiring substantial computational background. Thus, brain-CaPTk can be seamlessly integrated into the typical quantification, analysis and reporting workflow of a radiologist, underscoring its clinical potential. This paper describes currently available components of brain-CaPTk and example results from their application in glioblastoma.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.