Research graph
References from The application of deep neural networks to the detection of lumbar hernias: results from the approaches based on convolutional networks and transformers. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
2023 · External reference
Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA
10.1186/s13244-023-01541-3 · 2024 · External reference
Machine learning for medical imaging
10.1148/rg.2017160130 · 2017 · External reference
Unresolved reference
2024 · External reference
What low back pain is and why we need to pay attention
10.1016/s0140-6736(18)30480-x · 2018 · External reference
Global low back pain prevalence and years lived with disability from 1990 to 2017: estimates from the global burden of disease study 2017
10.21037/atm.2020.02.175 · 2020 · External reference
Management of lumbar disc herniation: a systematic review
10.7759/cureus.47908 · 2023 · External reference
Systematic literature review of imaging features of spinal degeneration in asymptomatic populations
10.3174/ajnr.a4173 · 2015 · External reference
Image annotation and curation in radiology: an overview for machine learning practitioners
10.1186/s41747-023-00408-y · 2024 · External reference
Prevention and treatment of low back pain: evidence, challenges, and promising directions
10.1016/s0140-6736(18)30489-6 · 2018 · External reference
Artificial intelligence in spinal imaging: current Status and future directions
10.3390/ijerph191811708 · 2022 · External reference
A survey on deep learning in medical image analysis
10.1016/j.media.2017.07.005 · 2017 · External reference
Recent advances and clinical applications of deep learning in medical image analysis
10.1016/j.media.2022.102444 · 2022 · External reference
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
10.1038/s41591-019-0447-x · 2019 · External reference
An overview of deep learning in medical imaging focusing on MRI
10.1016/j.zemedi.2018.11.002 · 2019 · External reference
VERSE: a vertebrae labelling and segmentation benchmark for multi-detector CT images
10.1016/j.media.2021.102166 · 2021 · External reference
The future of digital health with federated learning
10.1038/s41746-020-00323-1 · 2020 · External reference
Metrics reloaded: pitfalls and recommendations for image analysis validation
10.1038/s41592-023-02151-z · 2024 · External reference
Embracing imperfect datasets: a review of deep learning solutions for medical image segmentation
10.1016/j.media.2020.101693 · 2020 · External reference
Transparency and reproducibility in artificial intelligence
10.1038/s41586-020-2766-y · 2020 · External reference
Lumbar disc herniation: epidemiology, clinical and radiologic diagnosis WFNS spine committee recommendations
10.1016/j.wnsx.2024.100279 · 2024 · External reference
Classification, diagnostic imaging, and imaging characterization of a lumbar herniated disk
10.1016/s0033-8389(08)70006-x · 2000 · External reference
Unresolved reference
2023 · External reference
Unresolved reference
2019 · External reference
Very deep convolutional networks for large-scale image recognition
2015 · External reference
Deep residual learning for image recognition
10.1109/cvpr.2016.90 · 2016 · External reference
Mix-ViT: mixing attentive vision transformer for ultra-fine-grained visual categorization
10.1016/j.patcog.2022.109131 · 2023 · External reference
Unresolved reference
2015 · External reference
Unresolved reference
2018 · External reference
Encoder-Decoder with atrous separable convolution for semantic image segmentation BT - computer vision – ECCV 2018
2018 · External reference
Segformer: simple and efficient design for semantic segmentation with transformers
2021 · External reference
Multiattention network for semantic segmentation of fine-resolution remote sensing images
10.1109/tgrs.2021.3093977 · 2022 · External reference
Adam: a method for stochastic optimization
2015 · External reference
Exploration of vision transformer models in medical images synthesis
2022 · External reference
Unresolved reference
2021 · External reference
Unresolved reference
2022 · External reference
Preparing medical imaging data for machine learning
10.1148/radiol.2020192224 · 2020 · External reference
Deep medicine - how artificial intelligence can make healthcare human again
2019 · External reference
A survey on explainable artificial intelligence (XAI): toward medical XAI
10.1109/tnnls.2020.3027314 · 2021 · External reference
Spinenet: automated classification and evidence visualization in spinal MRIs
10.1016/j.media.2017.07.002 · 2017 · External reference
Automatic detection of lumbar disc herniation from MRI using deep neural networks
10.1007/s00330-019-06313-4 · 2020 · External reference
Automatic detection of lumbar disc herniation from MRI using deep neural networks
10.1007/s00330-019-06313-4 · ExternalCitation · doi-reference
Spinenet: automated classification and evidence visualization in spinal MRIs
10.1016/j.media.2017.07.002 · ExternalCitation · doi-reference
A survey on deep learning in medical image analysis
10.1016/j.media.2017.07.005 · ExternalCitation · doi-reference
Embracing imperfect datasets: a review of deep learning solutions for medical image segmentation
10.1016/j.media.2020.101693 · ExternalCitation · doi-reference
VERSE: a vertebrae labelling and segmentation benchmark for multi-detector CT images
10.1016/j.media.2021.102166 · ExternalCitation · doi-reference
Recent advances and clinical applications of deep learning in medical image analysis
10.1016/j.media.2022.102444 · ExternalCitation · doi-reference
Mix-ViT: mixing attentive vision transformer for ultra-fine-grained visual categorization
10.1016/j.patcog.2022.109131 · ExternalCitation · doi-reference
Lumbar disc herniation: epidemiology, clinical and radiologic diagnosis WFNS spine committee recommendations
10.1016/j.wnsx.2024.100279 · ExternalCitation · doi-reference
An overview of deep learning in medical imaging focusing on MRI
10.1016/j.zemedi.2018.11.002 · ExternalCitation · doi-reference
Classification, diagnostic imaging, and imaging characterization of a lumbar herniated disk
10.1016/s0033-8389(08)70006-x · ExternalCitation · doi-reference
What low back pain is and why we need to pay attention
10.1016/s0140-6736(18)30480-x · ExternalCitation · doi-reference
Prevention and treatment of low back pain: evidence, challenges, and promising directions
10.1016/s0140-6736(18)30489-6 · ExternalCitation · doi-reference
Transparency and reproducibility in artificial intelligence
10.1038/s41586-020-2766-y · ExternalCitation · doi-reference
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
10.1038/s41591-019-0447-x · ExternalCitation · doi-reference
Metrics reloaded: pitfalls and recommendations for image analysis validation
10.1038/s41592-023-02151-z · ExternalCitation · doi-reference
The future of digital health with federated learning
10.1038/s41746-020-00323-1 · ExternalCitation · doi-reference
Deep residual learning for image recognition
10.1109/cvpr.2016.90 · ExternalCitation · doi-reference
Multiattention network for semantic segmentation of fine-resolution remote sensing images
10.1109/tgrs.2021.3093977 · ExternalCitation · doi-reference
A survey on explainable artificial intelligence (XAI): toward medical XAI
10.1109/tnnls.2020.3027314 · ExternalCitation · doi-reference
Preparing medical imaging data for machine learning
10.1148/radiol.2020192224 · ExternalCitation · doi-reference
Machine learning for medical imaging
10.1148/rg.2017160130 · ExternalCitation · doi-reference
Developing, purchasing, implementing and monitoring AI tools in radiology: practical considerations. A multi-society statement from the ACR, CAR, ESR, RANZCR & RSNA
10.1186/s13244-023-01541-3 · ExternalCitation · doi-reference
Image annotation and curation in radiology: an overview for machine learning practitioners
10.1186/s41747-023-00408-y · ExternalCitation · doi-reference
Global low back pain prevalence and years lived with disability from 1990 to 2017: estimates from the global burden of disease study 2017
10.21037/atm.2020.02.175 · ExternalCitation · doi-reference
Systematic literature review of imaging features of spinal degeneration in asymptomatic populations
10.3174/ajnr.a4173 · ExternalCitation · doi-reference
Artificial intelligence in spinal imaging: current Status and future directions
10.3390/ijerph191811708 · ExternalCitation · doi-reference
Management of lumbar disc herniation: a systematic review
10.7759/cureus.47908 · ExternalCitation · doi-reference
