pradeeplam's Stars
voxelmorph/voxelmorph
Unsupervised Learning for Image Registration
HiLab-git/SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
black0017/MedicalZooPytorch
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
MIC-DKFZ/medicaldetectiontoolkit
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
neuml/paperai
📄 🤖 Semantic search and workflows for medical/scientific papers
barebell/DA
Unsupervised Domain Adaptation Papers and Code
yulequan/UA-MT
code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.
frankkramer-lab/MIScnn
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
xamyzhao/brainstorm
Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"
cheng-01037/Self-supervised-Fewshot-Medical-Image-Segmentation
[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)
microsoft/Recursive-Cascaded-Networks
[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration
kgl-prml/Contrastive-Adaptation-Network-for-Unsupervised-Domain-Adaptation
pytorch implementation for Contrastive Adaptation Network
ai-med/squeeze_and_excitation
PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
jcreinhold/intensity-normalization
normalize the intensities of various MR image modalities
MIC-DKFZ/HD-BET
MRI brain extraction tool
ServiceNow/embedding-propagation
Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification. This is a ServiceNow Research project that was started at Element AI.
FNNDSC/med2image
Converts medical images to more displayable formats, e.g. NIfTI to jpg.
HealthML/self-supervised-3d-tasks
learn2reg/tutorials2019
nyukat/GMIC
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
ELEKTRONN/elektronn3
A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data
neuronets/nobrainer
A framework for developing neural network models for 3D image processing.
wogong/pytorch-dann
A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation
gift-surg/NiftyMIC
NiftyMIC is a research-focused toolkit for motion correction and volumetric image reconstruction of 2D ultra-fast MRI.
baumgach/PHiSeg-code
Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019
bluestyle97/STGAN-pytorch
STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
0x5eba/Skin-Cancer-Segmentation
Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset
Nandan91/ULSAM
ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks
krishnabits001/task_driven_data_augmentation
semi-supervised and task driven data augmentation code to improve segmentation performance
aramis-lab/AD-ML
Framework for the reproducible classification of Alzheimer's disease using machine learning