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. 2406.17080
  4. Cited By
Multi-Aperture Fusion of Transformer-Convolutional Network (MFTC-Net)
  for 3D Medical Image Segmentation and Visualization

Multi-Aperture Fusion of Transformer-Convolutional Network (MFTC-Net) for 3D Medical Image Segmentation and Visualization

24 June 2024
Siyavash Shabani
Muhammad Sohaib
Sahar A. Mohammed
Bahram Parvin
    ViTMedIm
ArXiv (abs)PDFHTML

Papers citing "Multi-Aperture Fusion of Transformer-Convolutional Network (MFTC-Net) for 3D Medical Image Segmentation and Visualization"

12 / 12 papers shown
Title
UNETR++: Delving into Efficient and Accurate 3D Medical Image
  Segmentation
UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation
Abdelrahman M. Shaker
Muhammad Maaz
H. Rasheed
Salman Khan
Ming-Hsuan Yang
Fahad Shahbaz Khan
MedIm
91
150
0
08 Dec 2022
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image
  Analysis
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Yucheng Tang
Dong Yang
Wenqi Li
H. Roth
Bennett Landman
Daguang Xu
V. Nath
Ali Hatamizadeh
ViTMedIm
121
536
0
29 Nov 2021
nnFormer: Interleaved Transformer for Volumetric Segmentation
nnFormer: Interleaved Transformer for Volumetric Segmentation
Hong-Yu Zhou
J. Guo
Yinghao Zhang
Lequan Yu
Liansheng Wang
Yizhou Yu
ViTMedIm
81
328
0
07 Sep 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with
  Transformers
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
Enze Xie
Wenhai Wang
Zhiding Yu
Anima Anandkumar
J. Álvarez
Ping Luo
ViT
312
5,051
0
31 May 2021
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation
Hu Cao
Yueyue Wang
Jieneng Chen
Dongsheng Jiang
Xiaopeng Zhang
Qi Tian
Manning Wang
ViTMedIm
136
2,914
0
12 May 2021
UNETR: Transformers for 3D Medical Image Segmentation
UNETR: Transformers for 3D Medical Image Segmentation
Ali Hatamizadeh
Yucheng Tang
Vishwesh Nath
Dong Yang
Andriy Myronenko
Bennett Landman
H. Roth
Daguang Xu
ViTMedIm
182
1,612
0
18 Mar 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
530
3,734
0
24 Feb 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
Yundong Zhang
Huiye Liu
Qiang Hu
ViTMedIm
260
922
0
16 Feb 2021
Unified Focal loss: Generalising Dice and cross entropy-based losses to
  handle class imbalanced medical image segmentation
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
Michael Yeung
Evis Sala
Carola-Bibiane Schönlieb
L. Rundo
71
408
0
08 Feb 2021
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
224
16,582
0
17 Jul 2018
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
427
26,539
0
05 Sep 2017
SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks
  for Image Captioning
SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioning
Long Chen
Hanwang Zhang
Jun Xiao
Liqiang Nie
Jian Shao
Wei Liu
Tat-Seng Chua
78
1,662
0
17 Nov 2016
1