Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Virtual Event, September 27, 2021, Revised Selected Papers, Part I
This two-volume set LNCS 12962 and 12963 constitutes the thoroughly refereed proceedings of the 7th International MICCAI Brainlesion Workshop, BrainLes 2021, as well as the RSNA-ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge, the Federated Tumor Segmentation (FeTS) Challenge, the Cross-Modal...
| Otros Autores: | , , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Cham
Springer Nature
2022
Cham : 2022. |
| Edición: | 1st ed. 2022. |
| Colección: | Lecture Notes in Computer Science,
12962 |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009673536006719 |
Tabla de Contenidos:
- 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.
