Explanipedia

RootletSeg: Deep learning method for spinal rootlets segmentation across MRI contrasts Open

Katerina Krejci, Jiří Chmelík, Sandrine Bédard, Falk Eippert, Ulrike Horn , et al. · 2025

Purpose: To develop a deep learning method for the automatic segmentation of spinal nerve rootlets on various MRI scans. Material and Methods: This retrospective study included MRI scans from two open-access and one private dataset, consis…

Automated Segmentation of Forearm Muscles: Clinical Associations With Hand Function, Muscle Volume and Intramuscular Fat Open

Joel Fundaun, Valeria Oliva, Sandrine Bédard, Evert Onno Wesselink, Lynn Bry , et al. · 2025

Background Hand function is critical for daily activities and declines early in many diseases, conditions or disorders affecting the musculoskeletal and neurologic systems. Muscle health markers derived from clinically available magnetic r…

Semiautomated Pipeline Effectively Assesses Severity and Monitor Disease Progression in Compressed Spinal Cord of Degenerative Cervical Myelopathy Patients Open

Fauziyya Muhammad, Kenneth A. Weber, Sandrine Bédard, Grace Haynes, Zachary A. Smith · 2025

BACKGROUND AND OBJECTIVES: Degenerative cervical myelopathy (DCM) is a progressive and disabling condition resulting from chronic compression of the spinal cord, leading to functional impairments that can severely affect quality of life. T…

Monitoring morphometric drift in lifelong learning segmentation of the spinal cord. Open

Enamundram Naga Karthik, Sandrine Bédard, Jan Valošek, Christoph Stefan Aigner, Elise Bannier , et al. · 2025

Morphometric measures derived from spinal cord segmentations can serve as diagnostic and prognostic biomarkers in neurological diseases and injuries affecting the spinal cord. For instance, the spinal cord cross-sectional area can be used …

Mapping Hand Function with Simultaneous Brain-Spinal Cord Functional MRI Open

Valeria Oliva, Sandrine Bédard, Merve Kaptan, Dario Pfyffer, Brett Chy , et al. · 2025

INTRODUCTION Hand motor control depends on intricate brain-spinal cord interactions that regulate muscle activity. Hand function can be disrupted by injury to the brain, spinal cord, and peripheral nerves leading to weakness and impaired c…

Towards contrast-agnostic soft segmentation of the spinal cord Open

Sandrine Bédard, Enamundram Naga Karthik, Charidimos Tsagkas, Emanuele Pravatà, Cristina Granziera , et al. · 2025

Spinal cord segmentation is clinically relevant and is notably used to compute spinal cord cross-sectional area (CSA) for the diagnosis and monitoring of cord compression or neurodegenerative diseases such as multiple sclerosis. While seve…

Mapping hand function with simultaneous brain–spinal cord functional MRI Open

Valeria Oliva, Sandrine Bédard, Merve Kaptan, Dario Pfyffer, Brett Chy , et al. · 2025

Hand motor control depends on intricate brain–spinal cord interactions that regulate muscle activity. Hand function can be disrupted by injury to the brain, spinal cord, and peripheral nerves leading to weakness and impaired coordination. …

Rootlets-based registration to the PAM50 spinal cord template Open

Sandrine Bédard, Jan Valošek, Valeria Oliva, Kenneth A. Weber, Julien Cohen‐Adad · 2025

Spinal cord functional MRI studies require precise localization of spinal levels for reliable voxel-wise group analyses. Traditional template-based registration of the spinal cord uses intervertebral discs for alignment. However, substanti…

Body size and intracranial volume interact with the structure of the central nervous system: A multi-center in vivo neuroimaging study Open

René Labounek, Monica T. Bondy, Amy Paulson, Sandrine Bédard, Mihael Abramovic , et al. · 2025

Clinical research emphasizes the implementation of rigorous and reproducible study designs that rely on between-group matching or controlling for sources of biological variation such as subject’s sex and age. However, corrections for body …

Body size interacts with the structure of the central nervous system: A multi-center in vivo neuroimaging study Open

René Labounek, Monica T. Bondy, Amy Paulson, Sandrine Bédard, Mihael Abramovic , et al. · 2024

Clinical research emphasizes the implementation of rigorous and reproducible study designs that rely on between-group matching or controlling for sources of biological variation such as subject’s sex and age. However, corrections for body …

Normalizing Spinal Cord Compression Morphometric Measures: Application in Degenerative Cervical Myelopathy Open

Sandrine Bédard, Jan Valošek, Maryam Seif, Armin Curt, Simon Schading‐Sassenhausen , et al. · 2024

Objective Automatic and robust characterization of spinal cord shape from MRI images is relevant to assess the severity of spinal cord compression in degenerative cervical myelopathy (DCM) and to guide therapeutic strategy. Despite its pop…

A database of the healthy human spinal cord morphometry in the PAM50 template space Open

Jan Valošek, Sandrine Bédard, Miloš Keřkovský, Tomáš Rohan, Julien Cohen‐Adad · 2024

Measures of spinal cord morphometry computed from magnetic resonance images serve as relevant prognostic biomarkers for a range of spinal cord pathologies, including traumatic and non-traumatic spinal cord injury and neurodegenerative dise…

Towards contrast-agnostic soft segmentation of the spinal cord Open

Sandrine Bédard, Enamundram Naga Karthik, Charidimos Tsagkas, Emanuele Pravatà, Cristina Granziera , et al. · 2023

Spinal cord segmentation is clinically relevant and is notably used to compute spinal cord cross-sectional area (CSA) for the diagnosis and monitoring of cord compression or neurodegenerative diseases such as multiple sclerosis. While seve…

A database of the healthy human spinal cord morphometryin the PAM50 template space Open

Jan Valošek, Sandrine Bédard, Miloš Keřkovský, Tomáš Rohan, Julien Cohen‐Adad · 2023

A database of the healthy human spinal cord morphometry in the PAM50 template space Open

Jan Valošek, Sandrine Bédard, Miloš Keřkovský, Tomáš Rohan, Julien Cohen‐Adad · 2023

<p><strong>About: </strong>This dataset is a collection of tabular files containing normative values of normalized metrics of human spinal cord MRI morphological measurements (cross-sectional area, AP diameter, tran…

A database of the healthy human spinal cord morphometry in the PAM50 template space Open

Jan Valošek, Sandrine Bédard, Miloš Keřkovský, Tomáš Rohan, Julien Cohen‐Adad · 2023

About: This dataset is a collection of tabular files containing normative values of normalized metrics of human spinal cord MRI morphological measurements (cross-sectional area, AP diameter, transverse diameter, compression ratio, eccentri…

Pontomedullary junction as a reference for spinal cord cross-sectional area: validation across neck positions Open

Sandrine Bédard, Maxime Bouthillier, Julien Cohen‐Adad · 2023

Spinal cord cross-sectional area (CSA) is an important MRI biomarker to assess spinal cord atrophy in various neurodegenerative and traumatic spinal cord diseases. However, the conventional method of computing CSA based on vertebral levels…

Automatic measure and normalization of spinal cord cross-sectional area using the pontomedullary junction Open

Sandrine Bédard, Julien Cohen‐Adad · 2022

Spinal cord cross-sectional area (CSA) is a relevant biomarker to assess spinal cord atrophy in neurodegenerative diseases. However, the considerable inter-subject variability among healthy participants currently limits its usage. Previous…

Normalizing automatic spinal cord cross-sectional area measures Open

Sandrine Bédard, Julien Cohen‐Adad · 2021

Spinal cord cross-sectional area (CSA) is a relevant biomarker to assess spinal cord atrophy in various neurodegenerative diseases. However, the considerable inter-subject variability among healthy participants currently limits its usage. …

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