tarekegn82

APP

CKD-TransBTS

CoTr

[MICCAI2021] CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

Deep-Learning_YT

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Distributed-and-Parallel-Computing

ethiopian-names

fchollet

Benchmark Deep learning Examples from `Deep Learning in Python'

FullyConvolutionalTransformer

Official implementation of The Fully Convolutional Transformer for Medical Image Segmentation

tarekegn82/APP

tarekegn82/CKD-TransBTS

tarekegn82/CoTr

[MICCAI2021] CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

tarekegn82/Deep-Learning_YT

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

tarekegn82/DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

tarekegn82/Distributed-and-Parallel-Computing

tarekegn82/ethiopian-names

tarekegn82/fchollet

Benchmark Deep learning Examples from `Deep Learning in Python'

tarekegn82/FullyConvolutionalTransformer

Official implementation of The Fully Convolutional Transformer for Medical Image Segmentation

tarekegn82/HRSTNet

tarekegn82/labml

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

tarekegn82/LeViT-UNet

For medical image segmentation

tarekegn82/MedicalZooPytorch

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

tarekegn82/MISSU

tarekegn82/Modern-Operating-System

Modern Operating System 4th edition, book & solution

tarekegn82/NestedFormer

NestedFormer: Nested Modality-Aware Transformer for Brain Tumor Segmentation (MICCAI 2022)

tarekegn82/nnFormer

BraTS

tarekegn82/nnUNet

tarekegn82/paddle_nnformer

tarekegn82/PaddleSeg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

tarekegn82/Programming-on-windows

coursework

tarekegn82/Swin-Unet

The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

tarekegn82/TAREKEN-KELTA

tarekegn82/test_demo

tarekegn82/TransBTS

This repo provides the official code for : 1) TransBTS: Multimodal Brain Tumor Segmentation Using Transformer (https://arxiv.org/abs/2103.04430) , accepted by MICCAI2021. 2) TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images(https://arxiv.org/abs/2201.12785).

tarekegn82/TransUNet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

tarekegn82/UNETR-research-contributions

Implementations of recent research prototypes/demonstrations using MONAI.

tarekegn82/Volumetric-Methods-for-BraTS

Course work