Supervoxel Merging towards Brain Tumor Segmentation
Challenging Current Semi-Supervised Anomaly Segmentation Methods for Brain MRI
Modeling multi-annotator uncertainty as multi-class segmentation problem
Modeling multi-annotator uncertainty as multi-class segmentation problem
Adaptive unsupervised learning with enhanced feature representation for intra-tumor partitioning and survival prediction for glioblastoma
Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks
Optimization of Deep Learning based Brain Extraction in MRI for Low Resource Environments. Reciprocal Adversarial Learning for Brain Tumor Segmentation: A Solution to BraTS Challenge 2021 Segmentation Task
Unet3D with Multiple Atrous Convolutions Attention Block for Brain Tumor Segmentation
BRATS2021: exploring each sequence in multi-modal input for baseline U-net performance
Automatic Brain Tumor Segmentation using Multi-scale Features and Attention Mechanism
Simple and Fast Convolutional Neural Network applied to median cross sections for predicting the presence of MGMT promoter methylation in FLAIR MRI scans
MSViT: Multi Scale Vision Transformer forBiomedical Image Segmentation
Unsupervised Multimodal
HarDNet-BTS: A Harmonic Shortcut Network for Brain Tumor Segmentation
Multimodal Brain Tumor Segmentation Algorithm
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images
Multi-plane UNet++ Ensemble for Glioblastoma Segmentation
Multimodal Brain Tumor Segmentation using Modified UNet Architecture
A video data based transfer learning approach for classification of MGMT status in brain tumor MR images
Multimodal Brain Tumor Segmentation Using a 3D ResUNet in BraTS 2021
3D MRI brain tumour segmentation with autoencoder regularization and Hausdorff distance loss function
3D CMM-Net with Deeper Encoder for Semantic Segmentation of Brain Tumors in BraTS2021 Challenge
Cascaded training pipeline for 3D brain tumor segmentation
nnU-Net with Region-based Training and Loss Ensembles for Brain Tumor Segmentation
Brain Tumor Segmentation Using Attention Activated U-Net with Positive Mining
Automatic segmentation of brain tumor using 3D convolutional neural networks
Hierarchical and Global Modality Interaction for Brain Tumor Segmentation
Ensemble Outperforms Single Models in Brain Tumor Segmentation
Brain Tumor Segmentation using UNet-Context Encoding Network
Ensemble CNN Networks for GBM Tumors Segmentation using Multi-parametric MRI.