# Medical Imaging and Analysis

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/medical-imaging-and-analysis/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the automated segmentation, detection, and identification of vertebrae in medical imaging data, particularly CT and MRI scans of the spine. The research involves the development and application of deep learning and computer-aided diagnosis techniques for precise and efficient analysis of spinal structures. |
| Domain | Physical Sciences |
| Field | Engineering |
| OpenAlex ID | t14510 |
| Works | 126 |

## Topic papers all

Showing 15 of 126.

- [Automated deep-neural-network surveillance of cranial images for acute neurologic events](https://scholariq.org/papers/automated-deep-neural-network-surveillance-of-cranial-images-for-acute/)
- [A benchmark for comparison of dental radiography analysis algorithms](https://scholariq.org/papers/a-benchmark-for-comparison-of-dental-radiography-analysis-algorithms/)
- [Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound](https://scholariq.org/papers/hough-cnn-deep-learning-for-segmentation-of-deep-brain-regions-in-mri-and/)
- [Regenerative effects of transplanting mesenchymal stem cells embedded in atelocollagen to the degenerated intervertebral disc](https://scholariq.org/papers/regenerative-effects-of-transplanting-mesenchymal-stem-cells-embedded-in/)
- [Lumbar Adjacent Segment Degeneration and Disease After Arthrodesis and Total Disc Arthroplasty](https://scholariq.org/papers/lumbar-adjacent-segment-degeneration-and-disease-after-arthrodesis-and-total/)
- [Fully automated quantitative cephalometry using convolutional neural networks](https://scholariq.org/papers/fully-automated-quantitative-cephalometry-using-convolutional-neural-networks/)
- [Mesenchymal stem cells injection in degenerated intervertebral disc: cell leakage may induce osteophyte formation](https://scholariq.org/papers/mesenchymal-stem-cells-injection-in-degenerated-intervertebral-disc-cell-leakage/)
- [Evaluation of 3D Correspondence Methods for Model Building](https://scholariq.org/papers/evaluation-of-3d-correspondence-methods-for-model-building/)
- [Deep Learning Framework for Alzheimer’s Disease Diagnosis via 3D-CNN and FSBi-LSTM](https://scholariq.org/papers/deep-learning-framework-for-alzheimer-s-disease-diagnosis-via-3d-cnn-and-fsbi/)
- [Modic changes of the lumbar spine: prevalence, risk factors, and association with disc degeneration and low back pain in a large-scale population-based cohort](https://scholariq.org/papers/modic-changes-of-the-lumbar-spine-prevalence-risk-factors-and-association-with/)
- [Medical Image Computing and Computer Assisted Intervention – MICCAI 2022](https://scholariq.org/papers/medical-image-computing-and-computer-assisted-intervention-miccai-2022/)
- [ACR Appropriateness Criteria Low Back Pain](https://scholariq.org/papers/acr-appropriateness-criteria-low-back-pain/)
- [Augmented and virtual reality in spine surgery, current applications and future potentials](https://scholariq.org/papers/augmented-and-virtual-reality-in-spine-surgery-current-applications-and-future/)
- [A multivariate lesion symptom mapping toolbox and examination of lesion‐volume biases and correction methods in lesion‐symptom mapping](https://scholariq.org/papers/a-multivariate-lesion-symptom-mapping-toolbox-and-examination-of-lesion-volume/)
- [Artificial intelligence in ultrasound](https://scholariq.org/papers/artificial-intelligence-in-ultrasound/)

## Topic primary papers

Showing 15 of 26.

- [A multivariate lesion symptom mapping toolbox and examination of lesion‐volume biases and correction methods in lesion‐symptom mapping](https://scholariq.org/papers/a-multivariate-lesion-symptom-mapping-toolbox-and-examination-of-lesion-volume/)
- [Validation of medical image processing in image-guided therapy](https://scholariq.org/papers/validation-of-medical-image-processing-in-image-guided-therapy/)
- [Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning](https://scholariq.org/papers/automated-bone-mineral-density-prediction-and-fracture-risk-assessment-using/)
- [A multi-center milestone study of clinical vertebral CT segmentation](https://scholariq.org/papers/a-multi-center-milestone-study-of-clinical-vertebral-ct-segmentation/)
- [Opportunistic osteoporosis screening in multi-detector CT images using deep convolutional neural networks](https://scholariq.org/papers/opportunistic-osteoporosis-screening-in-multi-detector-ct-images-using-deep/)
- [A Framework for Automated Spine and Vertebrae Interpolation-Based Detection and Model-Based Segmentation](https://scholariq.org/papers/a-framework-for-automated-spine-and-vertebrae-interpolation-based-detection-and/)
- [Automatic Grading of Disc Herniation, Central Canal Stenosis and Nerve Roots Compression in Lumbar Magnetic Resonance Image Diagnosis](https://scholariq.org/papers/automatic-grading-of-disc-herniation-central-canal-stenosis-and-nerve-roots/)
- [Predicting Spinal Surgery Candidacy From Imaging Data Using Machine Learning](https://scholariq.org/papers/predicting-spinal-surgery-candidacy-from-imaging-data-using-machine-learning/)
- [Deep learning‐based detection and classification of lumbar disc herniation on magnetic resonance images](https://scholariq.org/papers/deep-learning-based-detection-and-classification-of-lumbar-disc-herniation-on/)
- [Spinal Cord Segmentation in Ultrasound Medical Imagery](https://scholariq.org/papers/spinal-cord-segmentation-in-ultrasound-medical-imagery/)
- [AI-based automated detection and stability analysis of traumatic vertebral body fractures on computed tomography](https://scholariq.org/papers/ai-based-automated-detection-and-stability-analysis-of-traumatic-vertebral-body/)
- [Morphology of the Lumbar Vertebral Canal](https://scholariq.org/papers/morphology-of-the-lumbar-vertebral-canal/)
- [Neurosurgical skills analysis by machine learning models: systematic review](https://scholariq.org/papers/neurosurgical-skills-analysis-by-machine-learning-models-systematic-review/)
- [Predicting Knee Osteoarthritis using Deep Neural Network](https://scholariq.org/papers/predicting-knee-osteoarthritis-using-deep-neural-network/)
- [Machine Learning Empowered Osteoporosis Prediction: A Comparative Analysis](https://scholariq.org/papers/machine-learning-empowered-osteoporosis-prediction-a-comparative-analysis/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.