ArticleJournal of digital imaging2018
SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research.
Article in Journal of digital imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 221 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
221 citing papers in PubMed.
- Deep learning for fully automatic detection, segmentation, and Gleason grade estimation of prostate cancer in multiparametric magnetic resonance images.Scientific reports · 2022Trial
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- Acquisition Time-Specific Deep Learning-Guided Image Quality Restoration in Accelerated I-123 DaTSCAN Brain SPECT on a Ring-Shaped CZT-Based Camera.Journal of imaging informatics in medicine · 2026Article
- BioDeformUNet: A Deep Learning Model for Biomechanically Informed Liver Image Registration.medRxiv : the preprint server for health sciences · 2026Article
- Textural Features from Quantitative MRI Using T2 Relaxation Times Correlate with Histological Cartilage Degeneration: An Ex-Vivo Study.Cartilage · 2026Article
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- Simultaneous Assessment of Intracranial Artery and Paravascular CSF Pulsation Using 3D Whole-Brain Diffusion-Prepared Cine bSSFP (DECAF) MRI.Magnetic resonance in medicine · 2026Article
- Validation of MRI-based nnU-Net model for automated segmentation of neck lymph nodes in head and neck squamous cell carcinoma: a multicenter study.Neuroradiology · 2026Article
- GPR15-guided CD8Nature · 2026Article
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- Cross-Subject Registration-Based Augmentation: Alleviating Anatomical Misalignment in Trauma CT for Robust Hemorrhage Segmentation.Diagnostics (Basel, Switzerland) · 2026Article
- Inter-observer variability in breast segmentation and its impact on focused ultrasound thermal therapy modeling.Physics in medicine and biology · 2026Article
- Retrospective intrafraction motion verification using triggered kilovoltage images during bone metastases stereotactic body radiotherapy.Physics and imaging in radiation oncology · 2026Article
- Boundary geometry controls a topological defect transition that determines lumen nucleation in embryonic development.Nature materials · 2026Article
- TCIA Radiology Image Processing for AI and Radiomics.medRxiv : the preprint server for health sciences · 2026Article
- Clinical pathways matter for multimodal deep learning in early Alzheimer's disease detection.Scientific reports · 2026Article
- Gut distension evokes rapid neural dynamics in vagal and hindbrain populations of larval zebrafish.iScience · 2026Article
- Deep learning for automatic detection of hepatocellular carcinoma in dynamic contrast-enhanced MRI.Abdominal radiology (New York) · 2026Article
161 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
Abstract
Modern scientific endeavors increasingly require team collaborations to construct and interpret complex computational workflows. This work describes an image-analysis environment that supports the use of computational tools that facilitate reproducible research and support scientists with varying levels of software development skills. The Jupyter notebook web application is the basis of an environment that enables flexible, well-documented, and reproducible workflows via literate programming. Image-analysis software development is made accessible to scientists with varying levels of programming experience via the use of the SimpleITK toolkit, a simplified interface to the Insight Segmentation and Registration Toolkit. Additional features of the development environment include user friendly data sharing using online data repositories and a testing framework that facilitates code maintenance. SimpleITK provides a large number of examples illustrating educational and research-oriented image analysis workflows for free download from GitHub under an Apache 2.0 license: github.com/InsightSoftwareConsortium/SimpleITK-Notebooks .
Indexed as
Identifiers
What OpenQuestion holds
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.