Welcome to the weekly Jounal Club, where relevant articles and tools are presented by the Neuro-iX lab !
Presentation of Pytorch Lightning
deep learning framework
pytorch lightning
Presentation of the review article ‘Addressing fairness issues in deep learning-based medical image analysis: a systematic review’
3D medical imaging
fairness
deep learning
sensitive attributes
Presentation of MONAI Label
3D medical imaging
interactive 3D image segmentation
active learning
deep learning
Presentation of the article ‘Green AI’
computers and society
computation and language
computer vision and pattern recognition
machine learning
methodology
Presentation of the article ‘Semi-supervised few-shot learning for medical image segmentation’
segmentation model
few-shot learning
unlabeled surrogate tasks
Presentation of the review article ‘EPI susceptibility correction introduces significant differences far from local areas of high distortion’
diffusion weighted imaging
preprocessing
distortion correction
quality assurance
Presentation of the review article ‘Automated brain segmentation and volumetry in dementia diagnostics: a narrative review with emphasis on FreeSurfer’
magnetic resonance imaging
brain segmentation
volumetry
dementia
alzheimer
freesurfer
Presentation of the article ‘Multi-Atlas Segmentation with Joint Label Fusion’
multi-atlas
magnetic resonance imaging
segmentation
joint label fusion
Presentation of the online platform brainlife.io
magnetic resonance imaging
neuroimaging
online platform
standardization
Presentation of the article ‘Visual Prompting for Generalized Few-shot Segmentation: A Multi-scale Approach’
multiscale transformer decoder
unidirectional causal attention mechanism
Presentation of SimpleClick
vision transformer
click-based interactive image segmentation
masked autoencoder
Presentation of the MITB functional atlas of the cerebral cortex
functional atlas
cortex parcellation
magnetic resonance imaging
Presentation of FET-MRQC
quality control
fetal brain
magnetic resonance imaging
T2w
Presentation of the article ‘Neural deformation fields for template-based reconstruction of cortical surfaces from MRI’
geometric deep learning
magnetic resonance imaging
cortical surface reconstruction
brain segmentation
registration
Presentation of the article ‘Semi-automatic segmentation of the fetal brain from magnetic resonance imaging’
magnetic resonance imaging
fetal brain
linear registration
nonlinear registration
volumetric reconstruction
Presentation of the FD-NET
deep learning
echo planar imaging
reversed phase-encoding
susceptibility artifacts
unsupervised learning
Presentation of the python library TorchIO
open-source
python library
patch-based sampling
3D medical images
Presentation of the article ‘Robust T-Loss for Medical Image Segmentation’
robust loss
medical image segmentation
noisy labels
Presentation of the conference paper ‘Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head’
Nadaraya-Watson head
machine learning
nonparametric invariant representation
Presentation of FastSurferVINN
brain segmentation
magnetic resonance imaging
resolution independence
Presentation of NeRF
scene representation
view synthesis
image-based rendering
volume rendering
3D deep learning
Presentation of Synb0-DisCo
conditional generative network
diffusion magnetic resonance imaging
distortion correction
echo planar imaging
image synthesis
Presentation of the article ‘Boundary-weighted logit consistency improves calibration of segmentation networks’
calibration
consistency regularization
segmentation
Presentation of Vox2Cortex
reconstruction of cortical surface
magnetic resonance imaging
geometric deep neural network
Presentation of DARQ
deep learning
linear registration
quality control
Presentation of the review article ‘Best Practices in Structural Neuroimaging of Neurodevelopmental Disorders’
children
freesurfer
neurodevelopmental disorders
quality control
structural magnetic resonance imaging
study design
Presentation of the article ‘Disentangling Human Error from the Ground Truth in Segmentation of Medical Images’
supervised learning
medical image segmentation
convolutional neural network
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