49 skills found · Page 1 of 2
brunoamaral / Gregory AIArtificial Intelligence and Machine Learning to accelerate scientific research and filter relevant content
sergivalverde / NicMSlesionsEasy multiple sclerosis white matter lesion segmentation using convolutional deep neural networks.
jostmey / MaxSnippetModelStatistical classifier for immune repertoires
AliAmini93 / MRI MS Plaques SegmentationA 3D Attention U-Net model is developed, aimed at segmenting and tracking Multiple Sclerosis lesions in MRI images.
ycwu1997 / CoactSegOfficial Code for our MICCAI 2023 paper "CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation"
pedrohserrano / Psychometrics🧠 Statistical Methods Applied to Psychology Projects
jcreinhold / Counterfactualmscounterfactuals for magnetic resonance images of multiple sclerosis
tinymilky / RSANetRSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation (MICCAI 2019)
MedICL-VU / LesionSegMultiple Sclerosis Lesion Segmentation with Tiramisu and 2.5D Stacked Slices
ictlab-unict / Attention Cnn MS SegmentationAn attention-based Fully Convolutional Densenet for Multiple Sclerosis lesion segmentation from FLAIR MRI
chenlingantelope / MSscRNAseq2019Analysis for 2019 submission "Integrated single cell analysis of blood and cerebrospinal fluid leukocytes in multiple sclerosis" Schafflick1, Xu, Hartlehnert1 et. al
sollan / AlmaFully automated (rodent) limb motion analysis toolbox for behavioral analysis with bodypart coordinate data, building upon markerless pose estimation.
sepidehhosseinzadeh / SegmentationBuildings segmentation and multiple sclerosis lesions segmentation (Dictionary learning, Encoding, Classification)
StefanDenn3r / Spatio Temporal MS Lesion SegmentationCode for the paper 'Spatio-temporal Learning from Longitudinal Data for Multiple Sclerosis Lesion Segmentation'
adobrasinovic / EdssThe Kurtzke Expanded Disability Status Scale (EDSS) is a method of quantifying disability in multiple sclerosis
CCI-Bonn / HD MS LesionsAutomated deep learning based segmentation of multiple sclerosis lesions on MRI
OpenKBC / Multiple Sclerosis ProjData analysis platform/structure, machine learning/AI project for multiple sclerosis
kaurrachneet6 / Vision Based Gait Analysis Framework For Predicting Multiple SclerosisA Vision-Based Gait Analysis Framework for Predicting Multiple Sclerosis - A Deep Learning Approach
derEitel / ExplainableMSUncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation
saezlab / VisiumMSStudy of Multiple Sclerosis(MS) using paried snRNA-seq and Visium transcriptmics datasets.
