ArticleScientific reports2018
Spinal cord gray matter segmentation using deep dilated convolutions.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.
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Who cites it
56 citing papers in PubMed, 1 synthesis or guideline pooled it, 133 citations in OpenAlex.
- A systematic review of computational models for the design of spinal cord stimulation therapies: from neural circuits to patient-specific simulations.The Journal of physiology · 2023Pooled it
- Longitudinal spinal cord MRI in adult 5q-SMA: biomarker and pathophysiological insights.Journal of neurology · 2026Article
- Magnetic Resonance Imaging Preprocessing for Robust Spinal Cord Segmentation in Cervical Myelopathy.Journal of imaging · 2026Article
- Brain and retina in Alzheimer's disease: Pathological intersections and estimates from imaging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Review
- Fully Automated Segmentation of Cervical Spinal Cord in Sagittal MR Images Using Swin-Unet Architectures.Journal of clinical medicine · 2025Article
- Comparative analysis of sandstone microtomographic image segmentation using advanced convolutional neural networks with pixelwise and physical accuracy evaluation.Scientific reports · 2025Article
- Quantitative cervical cord MRI in spinal muscular atrophy: a sensitive imaging biomarker of disease evolution and treatment.Journal of neurology · 2025Article
- Semiautomated Pipeline Effectively Assesses Severity and Monitor Disease Progression in Compressed Spinal Cord of Degenerative Cervical Myelopathy Patients.Neurosurgery practice · 2025Article
- Fractal-Based Architectures with Skip Connections and Attention Mechanism for Improved Segmentation of MS Lesions in Cervical Spinal Cord.Diagnostics (Basel, Switzerland) · 2025Article
- Longitudinal reproducibility of brain and spinal cord quantitative MRI biomarkers.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Leveling up: along-level diffusion tensor imaging in the spinal cord of multiple sclerosis patients.Frontiers in neuroimaging · 2025Article
- Tract-specific analysis of diffusion MRI at 3T detects cervical spinal cord aberrations in multiple sclerosis.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Segmentation of supragranular and infragranular layers in ultra-high-resolution 7T ex vivo MRI of the human cerebral cortex.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Reproducible Spinal Cord Quantitative MRI Analysis with the Spinal Cord Toolbox.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024Review
- ACID: A comprehensive toolbox for image processing and modeling of brain, spinal cord, and ex vivo diffusion MRI data.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- DeepRetroMoCo: deep neural network-based retrospective motion correction algorithm for spinal cord functional MRI.Frontiers in psychiatry · 2024Article
- Source-free domain transfer algorithm with reduced style sensitivity for medical image segmentation.PloS one · 2024Article
- Investigation of perfusion impairment in degenerative cervical myelopathy beyond the site of cord compression.Scientific reports · 2023Article
- Segmentation of supragranular and infragranular layers in ultra-high resolution 7TbioRxiv : the preprint server for biology · 2023Article
- The CALIPR framework for highly accelerated myelin water imaging with improved precision and sensitivity.Science advances · 2023Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Gray matter (GM) tissue changes have been associated with a wide range of neurological disorders and were recently found relevant as a biomarker for disability in amyotrophic lateral sclerosis. The ability to automatically segment the GM is, therefore, an important task for modern studies of the spinal cord. In this work, we devise a modern, simple and end-to-end fully-automated human spinal cord gray matter segmentation method using Deep Learning, that works both on in vivo and ex vivo MRI acquisitions. We evaluate our method against six independently developed methods on a GM segmentation challenge. We report state-of-the-art results in 8 out of 10 evaluation metrics as well as major network parameter reduction when compared to the traditional medical imaging architectures such as U-Nets.
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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.