ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.11213
  4. Cited By
ME-Net: Multi-Encoder Net Framework for Brain Tumor Segmentation

ME-Net: Multi-Encoder Net Framework for Brain Tumor Segmentation

21 March 2022
Wenbo Zhang
Guang Yang
He Huang
Weiji Yang
Xiaomei Xu
Yongkai Liu
Xiaobo Lai
ArXivPDFHTML

Papers citing "ME-Net: Multi-Encoder Net Framework for Brain Tumor Segmentation"

3 / 3 papers shown
Title
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance
  Imaging -- Mini Review, Comparison and Perspectives
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging -- Mini Review, Comparison and Perspectives
Guang Yang
Jun Lv
Yutong Chen
Jiahao Huang
Jin Zhu
MedIm
13
9
0
04 May 2021
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall
  Survival Prediction using Radiomic Features
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features
Xue Feng
Nicholas J. Tustison
C. Meyer
38
224
0
03 Dec 2018
MRI Tumor Segmentation with Densely Connected 3D CNN
MRI Tumor Segmentation with Densely Connected 3D CNN
Lele Chen
Yue Wu
Adora M. DSouza
A. Abidin
A. Wismüller
Chenliang Xu
31
119
0
18 Jan 2018
1