ArticleBrainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop)2020
The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview.
Open access · greenAbstract read
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Article in Brainlesion : glioma, multiple sclerosis, stroke and traumatic brain injuries. BrainLes (Workshop), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.
0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
26.2field-weighted citation impact, top 1% of its field
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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
67 citing papers in PubMed, 87 citations in OpenAlex.
- Radiomics-Guided Multi-Sequence Learning for Pathological Complete Response Prediction from Breast MRI with Missing Auxiliary Sequences.Journal of imaging · 2026Article
- Article
- An Unsupervised Brain Extraction Quality Control Approach for Efficient Neuro-Oncology Studies.Journal of imaging informatics in medicine · 2026Article
- Fractal-geometry analysis of pediatric posterior fossa tumors - a preoperative tool for prediction of histopathology.Neurosurgical review · 2026Article
- AI-powered segmentation and prognosis with missing MRI in pediatric brain tumors.NPJ precision oncology · 2026Article
- Changes in Somatomotor Network Connectivity Differentiate Better Versus Worse Recovery of Hand Dexterity After Brain Tumor Surgery: A Cohort Study.Neural plasticity · 2026Article
- Computational Pipeline in Neuroradiomics.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Influence of scan mode, tilt, and radiation dose on CT radiomic metrics.Journal of applied clinical medical physics · 2026Article
- Intratumoral preservation of the stem-like malignant cell proportion in glioblastoma, prognostic impact, and its radiomethylomic signatures.Neuro-oncology · 2025Article
- UKAN-EP: enhancing U-KAN with efficient attention and pyramid aggregation for 3D multi-modal MRI brain tumor segmentation.BMC medical imaging · 2025Article
- MU-Glioma Post: A comprehensive dataset of automated MR multi-sequence segmentation and clinical features.Scientific data · 2025Article
- Different Brain Network Connectomic Relationships Subserve Hand Dexterity During Task Versus Resting States in People with Brain Tumors.Brain and behavior · 2025Article
- Associations of early-adulthood adiposity with breast parenchymal tissue complexity within premenopausal women.Breast cancer research : BCR · 2025Article
- Optimization of deep learning models for inference in low resource environments.Computers in biology and medicine · 2025Article
- Consistency and grade prediction of intracranial meningiomas based on fractal geometry analysis.Neurosurgical review · 2025Article
- Open-radiomics: a collection of standardized datasets and a technical protocol for reproducible radiomics machine learning pipelines.BMC medical imaging · 2025Article
- Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.Nature communications · 2025Article
- The BraTS-Africa Dataset: Expanding the Brain Tumor Segmentation Data to Capture African Populations.Radiology. Artificial intelligence · 2025Article
- Comparison of Digital Breast Tomosynthesis and Mammography-based Radiomics for Breast Cancer Risk Assessment: Case-Control Study.Radiology. Imaging cancer · 2025Article
- Integrating Radiogenomics and Machine Learning in Musculoskeletal Oncology Care.Diagnostics (Basel, Switzerland) · 2025Review
7 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
25 authors at 3 institutions in 1 country.
Sarthak Pati *Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-2243-8487
Ashish Singh *Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Saima RathoreCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Aimilia GastouniotiCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Mark BergmanCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Phuc NgoCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Sung Min HaCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Dimitrios BouniasCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
James MinockCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Grayson MurphyCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Hongming LiCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Amit BhattaraiCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Adam WolfCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Patmaa SridaranCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Ratheesh KalarotCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Hamed AkbariCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Aristeidis SotirasCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Siddhesh P ThakurCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Ragini VermaCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Russell T ShinoharaCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Paul YushkevichCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Yong FanCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Despina KontosCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Christos DavatzikosCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
Spyridon BakasCenter for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0001-8734-6482
University of Pennsylvania · USPenn Center for AIDS Research · USWashington University in St. Louis · US
Funding
Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4MStatistical atlases of brain tumor MRI:do imaging phenotypes predict progression?R01NS042645 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2002 to 2024
$8.7MCancer imaging phenomics software suite: application to brain and breast cancerU24CA189523 · NCI · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS, KONTOS, DESPINA · 2015 to 2019
$3.2MBiomedical Image Computing and Informatics ClusterS10OD023495 · OD · UNIVERSITY OF PENNSYLVANIA · PI DAVATZIKOS, CHRISTOS · 2017 to 2017
$1.9MNCATS NIH HHS UL1 TR001878NCI NIH HHS U24 CA189523NIH HHS S10 OD023495NINDS NIH HHS R01 NS042645
Abstract
The purpose of this manuscript is to provide an overview of the technical specifications and architecture of the
Indexed as
Brain tumorBreast cancerCancerCaPTkDeep learningGlioblastomaGliomaImagingITCRLung cancerPhenomicsRadiogenomicsRadiomicsRadiophenotypeSegmentationToolkit
Identifiers
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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.