Name: Ekaterina Kondrateva
Type: User
Company: Skoltech
Bio: 4th year Ph.D. candidate in Skoltech, Moscow. Computer vision, Medical imaging, statistics and visual
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Twitter: katushka2ushka
Location: Moscow
Blog: https://scholar.google.com/citations?user=qlmVoMQAAAAJ&hl=en
Ekaterina Kondrateva's Projects
A repository with a basic layer of 3D deformable receptive field for 3D VoxCNN and 3D VoxResNet
This repo contains architectures of generative models for 3D brain MRI scans.
Basic statistical test and canonical machine learning for medical applictions
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.
Domain Adaptation DL methods adapted for functional MRI (fMRI) data analysis. Enjoy building domain-agnostic models on all levels of data abstraction.
Fader Networks for domain adaptation on fMRI: ABIDE-II study
Improving autism identification with multisite data via site-dependence minimisation and second-order functional connectivity
NRU HSE Applied Statistics in Machine Learning course
story of my life
Personal Website ^^
express course in ML to fell in love with
Latex template for the MIDL Conference
Resurces for MRI images processing and deep learning in 3D
Structural MRI encoding on HCP and ABIDE data with different preprocessin level
Automated detection of focal cortical dysplasia
skoltech-mri-3d-classification
A list of brain imaging datasets with multiple scans per subject. Feel free to update the list via 'pull requests'!
Baseline machine learning models for neuroimaging vectorised data: Neuro Baseline Bot
Skoltech course on Machine Learning in Neuroimaging data, Fall 2020.
A BERT model for scientific text.
VQ-VAE + Transformer based synthesis of 3D anatomical imaging data
1st place solution
Model-based super-resolution of medical images, in PyTorch.
Content for the workshop in Cambridge 2018
Papers and code of Explainable AI esp. w.r.t. Image classificiation