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. 2012.06760
  4. Cited By
HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation

HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation

12 December 2020
Saqib Qamar
Parvez Ahmad
Linlin Shen
ArXivPDFHTML

Papers citing "HI-Net: Hyperdense Inception 3D UNet for Brain Tumor Segmentation"

2 / 2 papers shown
Title
ScaleFusionNet: Transformer-Guided Multi-Scale Feature Fusion for Skin Lesion Segmentation
ScaleFusionNet: Transformer-Guided Multi-Scale Feature Fusion for Skin Lesion Segmentation
Saqib Qamar
Syed Furqan Qadri
Roobaea Alroobaea
Majed Alsafyani
Abdullah M. Baqasah
ViT
MedIm
84
0
0
05 Mar 2025
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
1