Pinned Repositories
2d_lesion_segmentation
2D Lesion Segmentation
3D-Cervical-Spine-Segmentation-and-Multi-Vertebrae-Fracture-Detection
Cervical spine 3D segmentation and classification using machine learning to detect fractures and assess vertebrae health.
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
BiSeNet-Implementation
Here is a tutorial on how to implement a research Paper with Keras
Brain-Segmentation
Brain Segmentation on MRBrains18
brain-segmentation-1
Deep learning based skull stripping and FLAIR abnormality segmentation in brain MRI using U-Net
BrainPrep
Preprocessing pipeline on Brain MR Images through FSL and ANTs, including registration, skull-stripping, bias field correction, enhancement and segmentation.
cervical-spine-segmentation
End-to-end pipeline for segmentation of MRI scans of cervical spine with 2D deep neural networks, e.g. U-net, FPN, PSPNet, Linknet.
DataCamp
DataCamp data-science courses
examples
TensorFlow examples
Saoussenko's Repositories
Saoussenko/3D-Cervical-Spine-Segmentation-and-Multi-Vertebrae-Fracture-Detection
Cervical spine 3D segmentation and classification using machine learning to detect fractures and assess vertebrae health.
Saoussenko/awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
Saoussenko/brain-segmentation-1
Deep learning based skull stripping and FLAIR abnormality segmentation in brain MRI using U-Net
Saoussenko/cervical-spine-segmentation
End-to-end pipeline for segmentation of MRI scans of cervical spine with 2D deep neural networks, e.g. U-net, FPN, PSPNet, Linknet.
Saoussenko/DataCamp
DataCamp data-science courses
Saoussenko/examples
TensorFlow examples
Saoussenko/gan
Tooling for GANs in TensorFlow
Saoussenko/Image_Segmentation_Brain_MRI
Training a Unet Model to segment and predict masks from Brain MRI images. (UNet, CNN, Intersection Over Union, Dice Co-efficient)
Saoussenko/learnopencv
Learn OpenCV : C++ and Python Examples
Saoussenko/Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Saoussenko/MaskGAN
MaskGAN for unpaired MR-to-CT synthesis. Official implementation of MICCAI 2023
Saoussenko/medical-image-augmentation
The official implementation of Analyzing Data Augmentation for Medical Images: A Case Study in Ultrasound Images.
Saoussenko/MedicalDataAugmentationTool
Saoussenko/MedicalDataAugmentationTool-VerSe
Saoussenko/MOOSE
MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet and has the capability to segment 120 unique tissue classes from a whole-body 18F-FDG PET/CT image.
Saoussenko/Nested-Cross-Validation
Nested cross-validation for unbiased predictions. Can be used with Scikit-Learn, XGBoost, Keras and LightGBM, or any other estimator that implements the scikit-learn interface.
Saoussenko/Preprocessing-Pipeline-on-Brain-MR-Images
The project is used to do preprocessing on brain MR images.
Saoussenko/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
Saoussenko/Pytorch-IterativeFCN
Pytorch implementation of the paper Iterative fully convolutional neural networks for automatic vertebra segmentation accepted in MIDL2018.
Saoussenko/ROCKETSHIP
Dynamic Contrast Enhanced (DCE) MRI Analysis Software
Saoussenko/SAM-Med2D
Official implementation of SAM-Med2D
Saoussenko/SegmentAnyBone
SegmentAnyBone: A Universal Model that Segments Any Bone at Any Location on MRI
Saoussenko/Self-Attention-GAN
Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)
Saoussenko/SlicerCervicalSpine
Saoussenko/StripSkullCT
Extract brain and remove skulls from brain CT and CTA images
Saoussenko/tfx
TFX is an end-to-end platform for deploying production ML pipelines
Saoussenko/toolkitten
A toolkit for #1millionwomentotech community.
Saoussenko/torchio
Medical imaging toolkit for deep learning
Saoussenko/verse
Everything about the 'Large Scale Vertebrae Segmentation Challenge' @ MICCAI 2019-2020
Saoussenko/vertebral-labeling-deep-learning
Deep Learning method for intervertebral disc detection and labeling (WIP)