ArticleTheranostics2016
Imalytics Preclinical: Interactive Analysis of Biomedical Volume Data.
Article in Theranostics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 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
80 citing papers in PubMed.
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- Validation of an automated AI-based micro-CT organ segmentation workflow against expert annotations and its impact on fluorescence quantification.European radiology experimental · 2026Article
- A preclinical CT and MRI Liver Imaging Dataset with Anatomical, Functional and Segmentation Data.Scientific data · 2026Article
- Estimation of metabolic water production in human and rat brain and spinal cord.Fluids and barriers of the CNS · 2026Article
- Modeling chronic periodontitis in rats: Persistent alveolar bone loss mediated by periodontal pathogens.Animal models and experimental medicine · 2025Article
- In Vivo Micro-Computed Tomography for Evaluation of Osteogenic Capability of Dental Pulp Stem Cells Under the Influence of Extracellular Vesicles on Alloplastic and Xenogeneic Bone Scaffolds in Rodent Intrabony Defect Model.Life (Basel, Switzerland) · 2025Article
- A longitudinal MRI dataset of brain metastases with tumor segmentations, clinical & radiomic data.Scientific data · 2025Article
- Evaluation of expansion and crossing profile characteristics of micro laser powder bed fusion-manufactured coronary stents in a rat model.Scientific reports · 2025Article
- A computational model of coronary arteries with in-stent restenosis coupling hemodynamics and pharmacokinetics with growth mechanics.Scientific reports · 2025Article
- Image-Derived Blood Normalization of Antibody-Based TREM2 PET in Mouse Models of Amyloidosis and Myocardial Infarction.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025Article
- Advanced quantification pipeline reveals new spatial and temporal tumor characteristics in preclinical multiple myeloma.EJNMMI research · 2025Article
- Intercellular adhesion molecule-1 protects against adipose tissue inflammation and insulin resistance but promotes liver disease activity in western-diet fed mice.Scientific reports · 2025Article
- Damage control orthopaedics is associated with impaired fracture healing and delayed recovery in a rodent model of severe multiple trauma.Bone & joint research · 2025Article
- Modulation of HER2 internalization enhances single-dose antibody-drug potency in HER2Scientific reports · 2025Article
- Desmoplastic tumor priming using clinical-stage corticosteroid liposomes.Cell biomaterials · 2025Article
- The NaAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Hemostasis and Gingival Healing-Polyurethane Adhesive Postextraction Under Rivaroxaban Therapy in a Rodent Model.International journal of dentistry · 2025Article
- SLAMF8 regulates osteogenesis and adipogenesis of bone marrow mesenchymal stem cells via S100A6/Wnt/β-catenin signaling pathway.Stem cell research & therapy · 2024Article
- Single Chelator-Minibody Theranostic Agents forJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024Article
20 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
6 authors.
Funding
Abstract
A software tool is presented for interactive segmentation of volumetric medical data sets. To allow interactive processing of large data sets, segmentation operations, and rendering are GPU-accelerated. Special adjustments are provided to overcome GPU-imposed constraints such as limited memory and host-device bandwidth. A general and efficient undo/redo mechanism is implemented using GPU-accelerated compression of the multiclass segmentation state. A broadly applicable set of interactive segmentation operations is provided which can be combined to solve the quantification task of many types of imaging studies. A fully GPU-accelerated ray casting method for multiclass segmentation rendering is implemented which is well-balanced with respect to delay, frame rate, worst-case memory consumption, scalability, and image quality. Performance of segmentation operations and rendering are measured using high-resolution example data sets showing that GPU-acceleration greatly improves the performance. Compared to a reference marching cubes implementation, the rendering was found to be superior with respect to rendering delay and worst-case memory consumption while providing sufficiently high frame rates for interactive visualization and comparable image quality. The fast interactive segmentation operations and the accurate rendering make our tool particularly suitable for efficient analysis of multimodal image data sets which arise in large amounts in preclinical imaging studies.
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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.