Charley Gros
YOU?
Author Swipe
View article: Passive acoustic monitoring of Tasmanian masked owls and swift parrots: an effective tool for conservation actions
Passive acoustic monitoring of Tasmanian masked owls and swift parrots: an effective tool for conservation actions Open
The Tasmanian masked owl ( Tyto novaehollandiae subsp. castanops ) and swift parrot ( Lathamus discolor ), both endangered species, rely on old forest features that are declining across their ranges in Tasmania, Australia. Their elusive be…
View article: Identifying vulnerable marine ecosystems: an image-based vulnerability index for the Southern Ocean seafloor
Identifying vulnerable marine ecosystems: an image-based vulnerability index for the Southern Ocean seafloor Open
A significant proportion of Southern Ocean seafloor biodiversity is thought to be associated with fragile, slow growing, long-lived, and habitat-forming taxa. Minimizing adverse impact to these so-called vulnerable marine ecosystems (VMEs)…
View article: The Antarctic Seafloor Annotated Imagery Database
The Antarctic Seafloor Annotated Imagery Database Open
Marine imagery is a comparatively cost-effective way to collect data on seafloor organisms, biodiversity and habitat morphology. However, annotating these images to extract detailed biological information is time-consuming and expensive, a…
View article: Label fusion and training methods for reliable representation of inter-rater uncertainty
Label fusion and training methods for reliable representation of inter-rater uncertainty Open
Medical tasks are prone to inter-rater variability due to multiple factors such as image quality, professional experience and training, or guideline clarity. Training deep learning networks with annotations from multiple raters is a common…
View article: Vulnerable, but Still Poorly Known, Marine Ecosystems: How to Make Distribution Models More Relevant and Impactful for Conservation and Management of VMEs?
Vulnerable, but Still Poorly Known, Marine Ecosystems: How to Make Distribution Models More Relevant and Impactful for Conservation and Management of VMEs? Open
Human activity puts our oceans under multiple stresses, whose impacts are already significantly affecting biodiversity and physicochemical properties. Consequently, there is an increased international focus on the conservation and sustaina…
View article: Label fusion and training methods for reliable representation of inter-rater uncertainty
Label fusion and training methods for reliable representation of inter-rater uncertainty Open
Medical tasks are prone to inter-rater variability due to multiple factors such as image quality, professional experience and training, or guideline clarity. Training deep learning networks with annotations from multiple raters is a common…
View article: Vulnerable, but still poorly known, marine ecosystems: how to make distribution models more relevant and impactful for conservation and management of VMEs?
Vulnerable, but still poorly known, marine ecosystems: how to make distribution models more relevant and impactful for conservation and management of VMEs? Open
Human activity puts our oceans under multiple stresses, whose impacts are already significantly affecting biodiversity and physicochemical properties. Consequently, there is an increased international focus on the conservation and sustaina…
View article: 2D Multi-Class Model for Gray and White Matter Segmentation of the Cervical Spinal Cord at 7T
2D Multi-Class Model for Gray and White Matter Segmentation of the Cervical Spinal Cord at 7T Open
The spinal cord (SC), which conveys information between the brain and the peripheral nervous system, plays a key role in various neurological disorders such as multiple sclerosis (MS) and amyotrophic lateral sclerosis (ALS), in which both …
View article: Author Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers
Author Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers Open
View article: Team NeuroPoly: Description of the Pipelines for the MICCAI 2021 MS New Lesions Segmentation Challenge
Team NeuroPoly: Description of the Pipelines for the MICCAI 2021 MS New Lesions Segmentation Challenge Open
This paper gives a detailed description of the pipelines used for the 2nd edition of the MICCAI 2021 Challenge on Multiple Sclerosis Lesion Segmentation. An overview of the data preprocessing steps applied is provided along with a brief de…
View article: Author Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers
Author Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers Open
View article: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers
Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers Open
View article: Generic acquisition protocol for quantitative MRI of the spinal cord
Generic acquisition protocol for quantitative MRI of the spinal cord Open
View article: Impact of individual rater style on deep learning uncertainty in medical imaging segmentation
Impact of individual rater style on deep learning uncertainty in medical imaging segmentation Open
While multiple studies have explored the relation between inter-rater variability and deep learning model uncertainty in medical segmentation tasks, little is known about the impact of individual rater style. This study quantifies rater st…
View article: SoftSeg: Advantages of soft versus binary training for image segmentation
SoftSeg: Advantages of soft versus binary training for image segmentation Open
View article: Benefits of Linear Conditioning with Metadata for Image Segmentation
Benefits of Linear Conditioning with Metadata for Image Segmentation Open
Medical images are often accompanied by metadata describing the image (vendor, acquisition parameters) and the patient (disease type or severity, demographics, genomics). This metadata is usually disregarded by image segmentation methods. …
View article: ivadomed: A Medical Imaging Deep Learning Toolbox
ivadomed: A Medical Imaging Deep Learning Toolbox Open
ivadomed is an open-source Python package for designing, end-to-end training, and evaluating deep learning models applied to medical imaging data. The package includes APIs, command-line tools, documentation, and tutorials. ivadomed also i…
View article: Benefits of Linear Conditioning for Segmentation using Metadata
Benefits of Linear Conditioning for Segmentation using Metadata Open
Medical images are often accompanied by metadata describing the image (vendor, acquisition parameters) and the patient (disease type or severity, demographics, genomics). This metadata is usually disregarded by image segmentation methods. …
View article: Automatic multiclass intramedullary spinal cord tumor segmentation on MRI with deep learning
Automatic multiclass intramedullary spinal cord tumor segmentation on MRI with deep learning Open
Spinal cord tumors lead to neurological morbidity and mortality. Being able to obtain morphometric quantification (size, location, growth rate) of the tumor, edema, and cavity can result in improved monitoring and treatment planning. Such …
View article: Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning
Multiclass Spinal Cord Tumor Segmentation on MRI with Deep Learning Open
Spinal cord tumors lead to neurological morbidity and mortality. Being able to obtain morphometric quantification (size, location, growth rate) of the tumor, edema, and cavity can result in improved monitoring and treatment planning. Such …
View article: SoftSeg: Advantages of soft versus binary training for image\n segmentation
SoftSeg: Advantages of soft versus binary training for image\n segmentation Open
Most image segmentation algorithms are trained on binary masks formulated as\na classification task per pixel. However, in applications such as medical\nimaging, this "black-and-white" approach is too constraining because the\ncontrast bet…
View article: Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disability
Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disability Open
Despite important efforts to solve the clinico-radiological paradox, correlation between lesion load and physical disability in patients with multiple sclerosis remains modest. One hypothesis could be that lesion location in corticospinal …
View article: Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts? Open
Despite recent improvements in medical image segmentation, the ability to generalize across imaging contrasts remains an open issue. To tackle this challenge, we implement Feature-wise Linear Modulation (FiLM) to leverage physics knowledge…
View article: Automatic segmentation of spinal multiple sclerosis lesions: How to\n generalize across MRI contrasts?
Automatic segmentation of spinal multiple sclerosis lesions: How to\n generalize across MRI contrasts? Open
Despite recent improvements in medical image segmentation, the ability to\ngeneralize across imaging contrasts remains an open issue. To tackle this\nchallenge, we implement Feature-wise Linear Modulation (FiLM) to leverage\nphysics knowle…
View article: Open-source pipeline for multi-class segmentation of the spinal cord with deep learning
Open-source pipeline for multi-class segmentation of the spinal cord with deep learning Open
View article: Convolutional Neural Network–Based Automated Segmentation of the Spinal Cord and Contusion Injury: Deep Learning Biomarker Correlates of Motor Impairment in Acute Spinal Cord Injury
Convolutional Neural Network–Based Automated Segmentation of the Spinal Cord and Contusion Injury: Deep Learning Biomarker Correlates of Motor Impairment in Acute Spinal Cord Injury Open
Brain and Spinal Cord Injury Center segmentation of the spinal cord compares favorably with available segmentation tools in a population with acute spinal cord injury. Volumes of injury derived from automated lesion segmentation with Brain…
View article: Spatial distribution of multiple sclerosis lesions in the cervical spinal cord
Spatial distribution of multiple sclerosis lesions in the cervical spinal cord Open
Spinal cord lesions detected on MRI hold important diagnostic and prognostic value for multiple sclerosis. Previous attempts to correlate lesion burden with clinical status have had limited success, however, suggesting that lesion location…
View article: Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks Open
View article: Automatic segmentation of the spinal cord and intramedullary multiple\n sclerosis lesions with convolutional neural networks
Automatic segmentation of the spinal cord and intramedullary multiple\n sclerosis lesions with convolutional neural networks Open
The spinal cord is frequently affected by atrophy and/or lesions in multiple\nsclerosis (MS) patients. Segmentation of the spinal cord and lesions from MRI\ndata provides measures of damage, which are key criteria for the diagnosis,\nprogn…
View article: Automatic Segmentation of Intramedullary Multiple Sclerosis Lesions
Automatic Segmentation of Intramedullary Multiple Sclerosis Lesions Open
RÉSUMÉ: Contexte: La moelle épinière est un composant essentiel du système nerveux central. Elle contient des neurones responsables d'importantes fonctionnalités et assure la transmission d'informations motrices et sensorielles entre le ce…