Abbas009's repositories
ADAM2020
Solution to MICCAI 2020 ADAM
advice
A repository of links with advice related to grad school applications, research, phd etc
Awesome-Federated-Learning
Federated Learning Library: https://fedml.ai
basic_unet_example
An example project of how to use a U-Net for segmentation on medical images with PyTorch.
BrainstormAneurysm
The segmentation of Intracranial Saccular Aneurysm
BraTS-2020
A complete pipeline for BraTS 2020
DeepLearning
A collection of research papers, datasets and software on Deep Learning
DTC
Semi-supervised Medical Image Segmentation through Dual-task Consistency
EvaluateSegmentation
A program to evaluate the quality of image segmentations.
just-pandas-things
An ongoing list of pandas quirks
Loss_ToolBox-PyTorch
PyTorch Implementation of Focal Loss and Lovasz-Softmax Loss
MICCAI-OpenSourcePapers
MICCAI 2020 Open Source Papers
MICCAI-Reproducibility-Checklist
Submission for MICCAI HACKATHON: https://miccai-hackathon.com/#participate
numpy-100
100 numpy exercises (with solutions)
pytorch-Deep-Learning
Deep Learning (with PyTorch)
PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
RE-Net
MICCAI 2020 Cerebrovascular Segmentation in MRA via Reverse Edge Attention Network
SegLoss
A collection of loss functions for medical image segmentation
SegWithDistMap
How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study
semixup
Semixup: In- and Out-of-Manifold Regularization for Deep Semi-Supervised Knee Osteoarthritis Severity Grading from Plain Radiographs
skimage-tutorials
skimage-tutorials: a collection of tutorials for the scikit-image package.
SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
start-machine-learning
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
u2net_torch
MICCAI2019:3D U$^2$-Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation
UNet3D
PyTorch version of UNet3D for CT segmentation. The code also includes visdom for training visualization.