GLIMS: Attention-Guided Lightweight Multi-Scale Hybrid Network for
Volumetric Semantic Segmentation

GLIMS: Attention-Guided Lightweight Multi-Scale Hybrid Network for Volumetric Semantic Segmentation

27 April 2024

Papers citing "GLIMS: Attention-Guided Lightweight Multi-Scale Hybrid Network for Volumetric Semantic Segmentation"

15 / 15 papers shown

Title
Foundational Models Defining a New Era in Vision: A Survey and Outlook Muhammad Awais Muzammal Naseer Salman Khan Rao Muhammad Anwer Hisham Cholakkal M. Shah Ming-Hsuan Yang Fahad Shahbaz Khan VLM 100 121 0 25 Jul 2023
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation Moein Heidari Amirhossein Kazerouni Milad Soltany Kadarvish Reza Azad Ehsan Khodapanah Aghdam Julien Cohen-Adad Dorit Merhof MedIm ViT 49 184 0 18 Jul 2022
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 71 1,093 0 04 Jan 2022
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation Yunhe Gao Mu Zhou Dimitris N. Metaxas MedIm ViT 32 428 0 02 Jul 2021
CAT: Cross Attention in Vision Transformer Hezheng Lin Xingyi Cheng Xiangyu Wu Fan Yang Dong Shen Zhongyuan Wang Qing Song Wei Yuan ViT 46 151 0 10 Jun 2021
UNETR: Transformers for 3D Medical Image Segmentation Ali Hatamizadeh Yucheng Tang Vishwesh Nath Dong Yang Andriy Myronenko Bennett Landman H. Roth Daguang Xu ViT MedIm 120 1,567 0 18 Mar 2021
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 429 3,660 0 24 Feb 2021
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation Jeya Maria Jose Valanarasu Poojan Oza Ilker Hacihaliloglu Vishal M. Patel ViT MedIm 56 973 0 21 Feb 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir Fahad Shahbaz Khan M. Shah ViT 247 2,463 0 04 Jan 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 263 6,657 0 23 Dec 2020
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation Ran Gu Guotai Wang Tao Song Rui Huang Michael Aertsen Jan Deprest Sébastien Ourselin Tom Vercauteren Shaoting Zhang SSeg 71 461 0 22 Sep 2020
Multi-scale self-guided attention for medical image segmentation Ashish Sinha Jose Dolz SSeg 52 415 0 07 Jun 2019
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data F. Diakogiannis F. Waldner P. Caccetta Chen Wu SSeg 111 1,304 0 01 Apr 2019
3D MRI brain tumor segmentation using autoencoder regularization Andriy Myronenko 64 1,033 0 27 Oct 2018
Attention U-Net: Learning Where to Look for the Pancreas Ozan Oktay Jo Schlemper Loic Le Folgoc M. J. Lee M. Heinrich ... Jingyu Sun Nils Y. Hammerla Bernhard Kainz Ben Glocker Daniel Rueckert SSeg 121 4,994 0 11 Apr 2018