Welcome to the weekly Jounal Club, where relevant articles and tools are presented by the Neuro-iX lab !
Presentation of the article ‘Towards user-centered interactive medical image segmentation in VR with an assistive AI agent’
vr
ai agent
interactive segmentation
Presentation of several management and computing tools
tools
python librairies
Presentation of MedVQA: a Vision–Language Model for Visual Question Answering in Medical Imagery
computational vision & language
medical visual question answering
transformers & attention models
Presentation of the DeepPrep: an accelerated, scalable and robust pipeline for neuroimaging preprocessing empowered by deep learning
container
neuroimaging pipeline
study design & methodology & scalability
workflow management & platforms
Presentation of the article ‘A VR-based volumetric medical image segmentation and visualization system with natural human interaction’
natural user interface-enabled volume rendering system
virtual reality
Ten articles about automatic Landmark Detection
automatic landmark detection
cnns & fully convolutional networks
Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction
cortical surface reconstruction
diffeomorphic neonatal
mri techniques & modalities
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding
functional & nested atlases
medical image segmentation
vision transformers
Presentation of the accepted article ‘Improving quality control of mri images using synthetic motion data’
general deep learning
mri techniques & modalities
quality assurance & control
Presentation of the article ‘3D Reconstructions of Brain from MRI Scans Using Neural Radiance Fields’
mri techniques & modalities
neural radiance & view synthesis
structure-from-motion & volumetric modeling
Presentation of FastSurfer LIT
brain segmentation
deep learning framework
disease-focused imaging
image synthesis & inpainting
Presentation of Pytorch Lightning
deep learning framework
programming libraries & frameworks
Presentation of the review article ‘Addressing fairness issues in deep learning-based medical image analysis: a systematic review’
3d medical imaging
ethics & fairness & societal impact
general deep learning
Presentation of MONAI Label
3d medical imaging
few-shot & active learning
general deep learning
interactive segmentation methods
Presentation of the article ‘Green AI’
computational vision & language
ethics & fairness & societal impact
machine learning
study design & methodology & scalability
Presentation of the article ‘Semi-supervised few-shot learning for medical image segmentation’
few-shot & active learning
medical image segmentation
unlabeled surrogate tasks
Presentation of the review article ‘EPI susceptibility correction introduces significant differences far from local areas of high distortion’
diffusion imaging & features
echo planar imaging & artifacts
preprocessing & data sampling
quality assurance & control
Presentation of the review article ‘Automated brain segmentation and volumetry in dementia diagnostics: a narrative review with emphasis on FreeSurfer’
brain segmentation
disease-focused imaging
freesurfer & ecosystem tools
mri techniques & modalities
volumetry
Presentation of the article ‘Multi-Atlas Segmentation with Joint Label Fusion’
atlas-based methods & fusion
medical image segmentation
mri techniques & modalities
Presentation of the online platform brainlife.io
calibration & standardization
mri techniques & modalities
neuroimaging
workflow management & platforms
Presentation of SimpleClick
interactive segmentation methods
masked autoencoder
vision transformers
Presentation of the MITB functional atlas of the cerebral cortex
cortex parcellation
functional & nested atlases
mri techniques & modalities
Presentation of FET-MRQC
developmental brain imaging
mri techniques & modalities
quality assurance & control
Presentation of the article ‘Neural deformation fields for template-based reconstruction of cortical surfaces from MRI’
brain segmentation
cortical surface reconstruction
geometric deep learning
mri techniques & modalities
registration techniques
Presentation of the article ‘Semi-automatic segmentation of the fetal brain from magnetic resonance imaging’
developmental brain imaging
mri techniques & modalities
registration techniques
structure-from-motion & volumetric modeling
Presentation of the FD-NET
echo planar imaging & artifacts
general deep learning
unsupervised learning
Presentation of the python library TorchIO
3d medical imaging
open-source
preprocessing & data sampling
programming libraries & frameworks
Presentation of the article ‘Robust T-Loss for Medical Image Segmentation’
label quality & robustness
medical image segmentation
Presentation of the conference paper ‘Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head’
diffusion imaging & features
machine learning
nonparametric invariant representation
Presentation of FastSurferVINN
brain segmentation
mri techniques & modalities
resolution & distortion correction
Presentation of NeRF
3d medical imaging
image-based rendering
neural radiance & view synthesis
structure-from-motion & volumetric modeling
volume rendering
Presentation of Comet
machine learning
supervised learning
workflow management & platforms
Presentation of Synb0-DisCo
diffusion imaging & features
echo planar imaging & artifacts
generative models
image synthesis & inpainting
Presentation of the article ‘Boundary-weighted logit consistency improves calibration of segmentation networks’
calibration & standardization
consistency regularization techniques
medical image segmentation
Presentation of Vox2Cortex
cortical surface reconstruction
geometric deep learning
mri techniques & modalities
Presentation of DARQ
general deep learning
quality assurance & control
registration techniques
Presentation of the review article ‘Best Practices in Structural Neuroimaging of Neurodevelopmental Disorders’
developmental brain imaging
freesurfer & ecosystem tools
mri techniques & modalities
neurodevelopmental disorders
quality assurance & control
study design & methodology & scalability
Presentation of the article ‘Disentangling Human Error from the Ground Truth in Segmentation of Medical Images’
cnns & fully convolutional networks
medical image segmentation
supervised learning
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