kondratevakate
4th year Ph.D. candidate in Skoltech, Moscow. Computer vision, Medical imaging, statistics and visual 🤤
SkoltechMoscow
Pinned Repositories
3d-deformable-convolutions
A repository with a basic layer of 3D deformable receptive field for 3D VoxCNN and 3D VoxResNet
fmri-component-analysis
fmri-domain-adaptation-zoo
Domain Adaptation DL methods adapted for functional MRI (fMRI) data analysis. Enjoy building domain-agnostic models on all levels of data abstraction.
fmri-fader-net
Fader Networks for domain adaptation on fMRI: ABIDE-II study
hse-stat-course-2018
NRU HSE Applied Statistics in Machine Learning course
InterpretableNeuroDL
machine-learning-with-love
express course in ML to fell in love with
mri-deep-learning-tools
Resurces for MRI images processing and deep learning in 3D
mri-epilepsy-diagnosis
Automated detection of focal cortical dysplasia
NEUROML2020
Skoltech course on Machine Learning in Neuroimaging data, Fall 2020.
kondratevakate's Repositories
kondratevakate/mri-deep-learning-tools
Resurces for MRI images processing and deep learning in 3D
kondratevakate/3d-deformable-convolutions
A repository with a basic layer of 3D deformable receptive field for 3D VoxCNN and 3D VoxResNet
kondratevakate/machine-learning-with-love
express course in ML to fell in love with
kondratevakate/fmri-fader-net
Fader Networks for domain adaptation on fMRI: ABIDE-II study
kondratevakate/fmri-component-analysis
kondratevakate/mri-epilepsy-diagnosis
Automated detection of focal cortical dysplasia
kondratevakate/fmri-domain-adaptation-zoo
Domain Adaptation DL methods adapted for functional MRI (fMRI) data analysis. Enjoy building domain-agnostic models on all levels of data abstraction.
kondratevakate/hse-stat-course-2018
NRU HSE Applied Statistics in Machine Learning course
kondratevakate/NEUROML2020
Skoltech course on Machine Learning in Neuroimaging data, Fall 2020.
kondratevakate/InterpretableNeuroDL
kondratevakate/mri-schizoprenia-classification
skoltech-mri-3d-classification
kondratevakate/neurobot
Baseline machine learning models for neuroimaging vectorised data: Neuro Baseline Bot
kondratevakate/adni
kondratevakate/brainMRIGenerativeModels
This repo contains architectures of generative models for 3D brain MRI scans.
kondratevakate/clinical-statistics
Basic statistical test and canonical machine learning for medical applictions
kondratevakate/dora
Dora is an experiment management framework. It expresses grid searches as pure python files as part of your repo. It identifies experiments with a unique hash signature. Scale up to hundreds of experiments without losing your sanity.
kondratevakate/fMRI-site-adaptation
Improving autism identification with multisite data via site-dependence minimisation and second-order functional connectivity
kondratevakate/kondratevakate
story of my life
kondratevakate/kondratevakate.github.io
Personal Website ^^
kondratevakate/MIDLLatexTemplate
Latex template for the MIDL Conference
kondratevakate/mri-domain-adaptation
Structural MRI encoding on HCP and ABIDE data with different preprocessin level
kondratevakate/multiBrain
A list of brain imaging datasets with multiple scans per subject. Feel free to update the list via 'pull requests'!
kondratevakate/pre-commit.com
kondratevakate/reflex
kondratevakate/scibert
A BERT model for scientific text.
kondratevakate/SynthAnatomy
VQ-VAE + Transformer based synthesis of 3D anatomical imaging data
kondratevakate/TReNDS
1st place solution
kondratevakate/UniRes
Model-based super-resolution of medical images, in PyTorch.
kondratevakate/XAI
Papers and code of Explainable AI esp. w.r.t. Image classificiation
kondratevakate/your-brain-mri-visualization
Use `freesurfer` to process your imaging data, and get fancy viz in `blender`