BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation
Optimized U-Net for Brain Tumor Segmentation
MS UNet: Multi-Scale 3D UNet for Brain Tumor Segmentation
Evaluating Scale Attention Network for Automatic Brain Tumor Segmentation with Large Multi-parametric MRI Database
Orthogonal-Nets: A large ensemble of 2D neural networks for 3D Brain Tumor Segmentation
Feature Learning by Attention and Ensemble with 3D U-Net to Glioma Tumor Segmentation
MRI Brain Tumor Segmentation Using Deep Encoder-Decoder Convolutional Neural Networks
Brain Tumor Segmentation with Patch-based 3D Attention UNet from Multi-parametric MRI
Dice Focal Loss with ResNet-like Encoder-Decoder architecture in 3D Brain Tumor Segmentation
HNF-Netv2 for Brain Tumor Segmentation using multi-modal MR Imaging
Disparity Autoencoders for Multi-class Brain Tumor Segmentation
Disparity Autoencoders for Multi-class Brain Tumor Segmentation
Disparity Autoencoders for Multi-class Brain Tumor Segmentation
Brain Tumor Segmentation in Multi-parametric Magnetic Resonance Imaging using Model Ensembling and Super-resolution
Quality-aware Model Ensemble for Brain Tumor Segmentation
Redundancy Reduction in Semantic Segmentation of 3D Brain Tumor MRIs
An Ensemble Approach to Automatic Brain Tumor Segmentation
Extending nn-UNet for brain tumor segmentation
Generalized Wasserstein Dice Loss, Test-time Augmentation, and Transformers for the BraTS 2021 challenge
Coupling nnU-Nets with Expert Knowledge for Accurate Brain Tumor Segmentation from MRI
Deep Learning based Ensemble Approach for 3D MRI Brain Tumor Segmentation
Prediction of MGMT Methylation Status of Glioblastoma using Radiomics and Latent Space Shape Features
bining CNNs With Transformer for Multimodal 3D MRI Brain Tumor Segmentation
Automatic Brain Tumor Segmentation with a Bridge-Unet deeply supervised enhanced with downsampling pooling combination, Atrous Spatial Pyramid Pooling, Squeeze-and-Excitation and EvoNorm.