ReviewAnnual review of biomedical engineering2013
Atlas-based neuroinformatics via MRI: harnessing information from past clinical cases and quantitative image analysis for patient care.
Review in Annual review of biomedical engineering, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
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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
33 citing papers in PubMed.
- OpenMAP-T1: A Rapid Deep-Learning Approach to Parcellate 280 Anatomical Regions to Cover the Whole Brain.Human brain mapping · 2024Article
- Weakly supervised deep learning for diagnosis of multiple vertebral compression fractures in CT.European radiology · 2024Article
- A hybrid high-resolution anatomical MRI atlas with sub-parcellation of cortical gyri using resting fMRI.Journal of neuroscience methods · 2022Article
- Towards an Architecture of a Multi-purpose, User-Extendable Reference Human Brain Atlas.Neuroinformatics · 2022Article
- Neural Correlates of Letter and Semantic Fluency in Primary Progressive Aphasia.Brain sciences · 2021Article
- Identification of Tumor-Specific MRI Biomarkers Using Machine Learning (ML).Diagnostics (Basel, Switzerland) · 2021Review
- Multimodal MRI assessment for first episode psychosis: A major change in the thalamus and an efficient stratification of a subgroup.Human brain mapping · 2021Article
- Evolution of Human Brain Atlases in Terms of Content, Applications, Functionality, and Availability.Neuroinformatics · 2021Review
- AI in Medical Imaging Informatics: Current Challenges and Future Directions.IEEE journal of biomedical and health informatics · 2020Article
- Structural neuroimaging of the altered brain stemming from pediatric and adolescent hearing loss-Scientific and clinical challenges.Wiley interdisciplinary reviews. Systems biology and medicine · 2020Review
- Diffeomorphic Registration With Intensity Transformation and Missing Data: Application to 3D Digital Pathology of Alzheimer's Disease.Frontiers in neuroscience · 2020Article
- Test-retest reproducibility of a multi-atlas automated segmentation tool on multimodality brain MRI.Brain and behavior · 2019Article
- Validated imaging biomarkers as decision-making tools in clinical trials and routine practice: current status and recommendations from the EIBALL* subcommittee of the European Society of Radiology (ESR).Insights into imaging · 2019Article
- Article
- Baby brain atlases.NeuroImage · 2019Review
- Cloud-Based Brain Magnetic Resonance Image Segmentation and Parcellation System for Individualized Prediction of Cognitive Worsening.Journal of healthcare engineering · 2019Article
- Position Paper Computational Cardiology.IEEE journal of biomedical and health informatics · 2019Article
- On variational solutions for whole brain serial-section histology using a Sobolev prior in the computational anatomy random orbit model.PLoS computational biology · 2018Article
- Computational anatomy and diffeomorphometry: A dynamical systems model of neuroanatomy in the soft condensed matter continuum.Wiley interdisciplinary reviews. Systems biology and medicine · 2018Review
- Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI-Application in Premanifest Huntington's Disease.Journal of visualized experiments : JoVE · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
With the ever-increasing amount of anatomical information radiologists have to evaluate for routine diagnoses, computational support that facilitates more efficient education and clinical decision making is highly desired. Despite the rapid progress of image analysis technologies for magnetic resonance imaging of the human brain, these methods have not been widely adopted for clinical diagnoses. To bring computational support into the clinical arena, we need to understand the decision-making process employed by well-trained clinicians and develop tools to simulate that process. In this review, we discuss the potential of atlas-based clinical neuroinformatics, which consists of annotated databases of anatomical measurements grouped according to their morphometric phenotypes and coupled with the clinical informatics upon which their diagnostic groupings are based. As these are indexed via parametric representations, we can use image retrieval tools to search for phenotypes along with their clinical metadata. The review covers the current technology, preliminary data, and future directions of this field.
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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.