ReviewIEEE transactions on medical imaging2013
Deformable medical image registration: a survey.
Review in IEEE transactions on medical imaging, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 324 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
324 citing papers in PubMed.
- Prediction of Treatment Response to Neoadjuvant Chemotherapy for Breast Cancer via Early Changes in Tumor Heterogeneity Captured by DCE-MRI Registration.Scientific reports · 2019Trial
- DiffINR: conditional neural field diffusion for deformation-driven volumetric image estimation from limited measurements.Physics in medicine and biology · 2026Article
- Respiratory Motion Management in Abdominal MRI: Revisiting the Gap Between Technical Advances and Clinical Translation.Magnetic resonance in medicine · 2026Review
- MSDW-Net: A Multi-Scale Network for Medical Image Registration Using Dynamic Wavelet Transform.Interdisciplinary sciences, computational life sciences · 2026Article
- Contour-regulated registration framework for Liver CT perfusion images.Medical physics · 2026Article
- Computational Mass Spectrometry Imaging in the Era of AI.Chemical reviews · 2026Review
- Understanding Trade-Offs in Continuous Neural Representations for Diffeomorphic Image Registration: A Comparative Study of Implicit Neural Representations and Neural Ordinary Differential Equations.Journal of imaging · 2026Article
- GuidedMorph: Two-Stage Deformable Registration for Breast MRI.IEEE journal of biomedical and health informatics · 2026Article
- Adaptive Riemannian optimization for multi-scale diffeomorphic matching.Nature communications · 2026Article
- Deep learning-based cross-modal MR-CT registration for brain metastases radiotherapy with multi-scale feature refinement and brainstem guidance.Scientific reports · 2026Article
- Aging-related lateral ventricular shape changes and corresponding mechanical loading derived from longitudinal image registration.Biomechanics and modeling in mechanobiology · 2026Article
- 3D Reactive Oxygen Species Dosimetry in Pleural Photodynamic Therapy: Integration of Macroscopic Kinetic Modeling and Deformable Registration.Antioxidants (Basel, Switzerland) · 2026Article
- Fluoroscopy-Guided Motion Management in Particle Therapy: Evolution, Challenges, and AI-Enabled Opportunities.Tomography (Ann Arbor, Mich.) · 2026Review
- Model-based rigid and nonrigid volumetric image registration for image-guided interventions.International journal of computer assisted radiology and surgery · 2026Article
- On the accuracy of image registration in portable low-field 3D brain MRI.Research square · 2026Article
- Alignment of spatial transcriptomics slices across diseases, platforms and conditions.Genome medicine · 2026Article
- Efficient cosine-windowed cross-correlation for intermediate deformable image registration.Scientific reports · 2026Article
- Multimodal spatial alignment and morphology mapping with MOSAICField.bioRxiv : the preprint server for biology · 2026Article
- On the accuracy of image registration in portable low-field 3D brain MRI.bioRxiv : the preprint server for biology · 2026Article
- Human-centered evaluation of statistical parametric mapping and explainable machine learning for outlier detection in plantar pressure data.Scientific reports · 2026Article
264 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
3 authors.
Funding
Abstract
Deformable image registration is a fundamental task in medical image processing. Among its most important applications, one may cite: 1) multi-modality fusion, where information acquired by different imaging devices or protocols is fused to facilitate diagnosis and treatment planning; 2) longitudinal studies, where temporal structural or anatomical changes are investigated; and 3) population modeling and statistical atlases used to study normal anatomical variability. In this paper, we attempt to give an overview of deformable registration methods, putting emphasis on the most recent advances in the domain. Additional emphasis has been given to techniques applied to medical images. In order to study image registration methods in depth, their main components are identified and studied independently. The most recent techniques are presented in a systematic fashion. The contribution of this paper is to provide an extensive account of registration techniques in a systematic manner.
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.