SEDNet: Shallow Encoder-Decoder Network for Brain Tumor Segmentation

24 January 2024

Papers citing "SEDNet: Shallow Encoder-Decoder Network for Brain Tumor Segmentation"

8 / 8 papers shown

Title
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images Ali Hatamizadeh V. Nath Yucheng Tang Dong Yang H. Roth Daguang Xu ViT MedIm 56 1,093 0 04 Jan 2022
BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation Qiran Jia Hai Shu ViT MedIm 102 70 0 25 Sep 2021
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation Saqib Qamar Parvez Ahmad Linlin Shen 30 26 0 12 Dec 2020
Automatic Brain Tumor Segmentation with Scale Attention Network Yading Yuan 33 33 0 06 Nov 2020
Brain tumor segmentation with self-ensembled, deeply-supervised 3D U-net neural networks: a BraTS 2020 challenge solution T. Henry Alexandre Carré Marvin Lerousseau Théo Estienne C. Robert Nikos Paragios Eric Deutsch 25 75 0 30 Oct 2020
Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation Mehrdad Noori Ali Bahri K. Mohammadi 3DV 27 93 0 04 Apr 2020
Neural parameters estimation for brain tumor growth modeling Ivan Ezhov Jana Lipkova Suprosanna Shit Florian Kofler Nora Collomb B. Lemasson E. Barbier Bjoern Menze 18 24 0 01 Jul 2019
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations Carole H Sudre Wenqi Li Tom Vercauteren Sébastien Ourselin M. Jorge Cardoso SSeg 79 2,132 0 11 Jul 2017