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2-step deep learning model for landmarks localization in spine radiographs

Scientific reports, 2021-05, Vol.11 (1), p.9482-9482, Article 9482

2021

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Image annotation and curation in radiology: an overview for machine learning practitioners

European radiology experimental, 2024-02, Vol.8 (1), p.11-11, Article 11

2024

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Advancing spine care through AI and machine learning: overview and applications

EFORT Open Reviews, 2024-05, Vol.9 (5), p.422-433

2024

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The Revival of the Notes Field: Leveraging the Unstructured Content in Electronic Health Records

Frontiers in medicine, 2019-04, Vol.6, p.66-66

2019

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The importance of curve severity, type and instrumentation strategy in the surgical correction of adolescent idiopathic scoliosis: an in silico clinical trial on 64 cases

Scientific reports, 2021-01, Vol.11 (1), p.1799-1799, Article 1799

2021

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Commentary on "Predicting Mechanical Complications After Adult Spinal Deformity Operation Using a Machine Learning Based on Modified Global Alignment and Proportion Scoring With Body Mass Index and Bone Mineral Density"

Neurospine, 2023-03, Vol.20 (1), p.275-277

2023

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A fresh look at spinal alignment and deformities: Automated analysis of a large database of 9832 biplanar radiographs

Frontiers in bioengineering and biotechnology, 2022-07, Vol.10, p.863054-863054

2022

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Image-based biomechanical models of the musculoskeletal system

European radiology experimental, 2020-08, Vol.4 (1), p.49-49, Article 49

2020

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Accounting for Biomechanical Measures from Musculoskeletal Simulation of Upright Posture Does Not Enhance the Prediction of Curve Progression in Adolescent Idiopathic Scoliosis

Frontiers in bioengineering and biotechnology, 2021-09, Vol.9, p.703144-703144

2021

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Artificial Intelligence Accurately Detects Traumatic Thoracolumbar Fractures on Sagittal Radiographs

Medicina (Kaunas, Lithuania), 2022-07, Vol.58 (8), p.998

2022

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Automatic classification of the vertebral endplate lesions in magnetic resonance imaging by deep learning model

Frontiers in surgery, 2023-06, Vol.10, p.1172313-1172313

2023

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Comparing image normalization techniques in an end-to-end model for automated modic changes classification from MRI images

Brain & spine, 2024-01, Vol.4, p.102738-102738, Article 102738

2024

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Investigating How Reproducibility and Geometrical Representation in UMAP Dimensionality Reduction Impact the Stratification of Breast Cancer Tumors

Applied sciences, 2022-05, Vol.12 (9), p.4247

2022

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The Influence of Baseline Clinical Status and Surgical Strategy on Early Good to Excellent Result in Spinal Lumbar Arthrodesis: A Machine Learning Approach

Journal of personalized medicine, 2021-12, Vol.11 (12), p.1377

2021

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Artificial intelligence can accurately and reliably detect traumatic thoracolumbar fractures on sagittal radiographs

Brain & spine, 2021, Vol.1, p.100046, Article 100046

2021

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Prediction of trunk muscle activation and spinal forces in adolescent idiopathic scoliosis during simulated trunk motion: A musculoskeletal modelling study

Journal of biomechanics, 2024-01, Vol.163, p.111918-111918, Article 111918

2024

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Developing a new tool for scoliosis screening in a tertiary specialistic setting using artificial intelligence: a retrospective study on 10,813 patients: 2023 SOSORT award winner

European spine journal, 2023-11, Vol.32 (11), p.3836-3845

2023

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Deep learning prediction of curve severity from rasterstereographic back images in adolescent idiopathic scoliosis

European spine journal, 2023-12

2023

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Measuring the critical shoulder angle on radiographs: an accurate and repeatable deep learning model

Skeletal radiology, 2022-09, Vol.51 (9), p.1873-1878

2022

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Correction to: Measuring the critical shoulder angle on radiographs: an accurate and repeatable deep learning model

Skeletal radiology, 2022-09, Vol.51 (9), p.1905-1905

2022

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Estimating lumbar bone mineral density from conventional MRI and radiographs with deep learning in spine patients

European spine journal, 2024-08

2024

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ISSLS Prize in Bioengineering Science 2021: in vivo sagittal motion of the lumbar spine in low back pain patients—a radiological big data study

European spine journal, 2021-05, Vol.30 (5), p.1108-1116

2021

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Proximal aortic diameter evolution in hypertensive patients with mild-to-moderate aortic dilatation: a 5-year follow-up experience

Journal of hypertension, 2020-04, Vol.38 (4), p.716-722

2020

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Automatic Diagnosis of Spinal Disorders on Radiographic Images: Leveraging Existing Unstructured Datasets With Natural Language Processing

Global spine journal, 2023-06, Vol.13 (5), p.1257-1266

2023

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Automatic Calculation of Cervical Spine Parameters Using Deep Learning: Development and Validation on an External Dataset

Global spine journal, 2023-10, p.21925682231205352-21925682231205352

2023

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2-step deep learning model for landmarks localization in spine radiographs

Image annotation and curation in radiology: an overview for machine learning practitioners

Advancing spine care through AI and machine learning: overview and applications

The Revival of the Notes Field: Leveraging the Unstructured Content in Electronic Health Records

The importance of curve severity, type and instrumentation strategy in the surgical correction of adolescent idiopathic scoliosis: an in silico clinical trial on 64 cases

Commentary on "Predicting Mechanical Complications After Adult Spinal Deformity Operation Using a Machine Learning Based on Modified Global Alignment and Proportion Scoring With Body Mass Index and Bone Mineral Density"

A fresh look at spinal alignment and deformities: Automated analysis of a large database of 9832 biplanar radiographs

Image-based biomechanical models of the musculoskeletal system

Accounting for Biomechanical Measures from Musculoskeletal Simulation of Upright Posture Does Not Enhance the Prediction of Curve Progression in Adolescent Idiopathic Scoliosis

Artificial Intelligence Accurately Detects Traumatic Thoracolumbar Fractures on Sagittal Radiographs

Automatic classification of the vertebral endplate lesions in magnetic resonance imaging by deep learning model

Comparing image normalization techniques in an end-to-end model for automated modic changes classification from MRI images

Investigating How Reproducibility and Geometrical Representation in UMAP Dimensionality Reduction Impact the Stratification of Breast Cancer Tumors

The Influence of Baseline Clinical Status and Surgical Strategy on Early Good to Excellent Result in Spinal Lumbar Arthrodesis: A Machine Learning Approach

Artificial intelligence can accurately and reliably detect traumatic thoracolumbar fractures on sagittal radiographs

Prediction of trunk muscle activation and spinal forces in adolescent idiopathic scoliosis during simulated trunk motion: A musculoskeletal modelling study

Developing a new tool for scoliosis screening in a tertiary specialistic setting using artificial intelligence: a retrospective study on 10,813 patients: 2023 SOSORT award winner

Deep learning prediction of curve severity from rasterstereographic back images in adolescent idiopathic scoliosis

Measuring the critical shoulder angle on radiographs: an accurate and repeatable deep learning model

Correction to: Measuring the critical shoulder angle on radiographs: an accurate and repeatable deep learning model

Estimating lumbar bone mineral density from conventional MRI and radiographs with deep learning in spine patients

ISSLS Prize in Bioengineering Science 2021: in vivo sagittal motion of the lumbar spine in low back pain patients—a radiological big data study

Proximal aortic diameter evolution in hypertensive patients with mild-to-moderate aortic dilatation: a 5-year follow-up experience

Automatic Diagnosis of Spinal Disorders on Radiographic Images: Leveraging Existing Unstructured Datasets With Natural Language Processing

Automatic Calculation of Cervical Spine Parameters Using Deep Learning: Development and Validation on an External Dataset

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