Convolution-Free Medical Image Segmentation using Transformers

26 February 2021

Davood Karimi

Ali Gholipour

Papers citing "Convolution-Free Medical Image Segmentation using Transformers"

20 / 20 papers shown

Title
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation Boqian Wu Q. Xiao Shiwei Liu Lu Yin Mykola Pechenizkiy Decebal Constantin Mocanu M. V. Keulen Elena Mocanu MedIm 79 5 0 20 Feb 2025
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention Hao Shao Quansheng Zeng Qibin Hou Jufeng Yang 64 14 0 14 Dec 2023
TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation Jieneng Chen Yongyi Lu Qihang Yu Xiangde Luo Ehsan Adeli Yan Wang Le Lu Alan Yuille Yuyin Zhou ViT MedIm 57 3,424 0 08 Feb 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir Fahad Shahbaz Khan M. Shah ViT 242 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 233 6,657 0 23 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 172 40,217 0 22 Oct 2020
A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI Haoran Dou Davood Karimi C. Rollins C. Ortinau L. Vasung C. Velasco-Annis Abdelhakim Ouaalam Xin Yang Dong Ni Ali Gholipour 12 55 0 27 Apr 2020
Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation Huiyu Wang Yukun Zhu Bradley Green Hartwig Adam Alan Yuille Liang-Chieh Chen 3DPC 87 669 0 17 Mar 2020
Axial Attention in Multidimensional Transformers Jonathan Ho Nal Kalchbrenner Dirk Weissenborn Tim Salimans 58 525 0 20 Dec 2019
Deep Semantic Segmentation of Natural and Medical Images: A Review Saeid Asgari Taghanaki Kumar Abhishek Joseph Paul Cohen Julien Cohen-Adad Ghassan Hamarneh SSeg VLM 52 673 0 16 Oct 2019
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge Spyridon Bakas M. Reyes Andras Jakab Stefan Bauer Markus Rempfler ... Jayashree Kalpathy-Cramer Keyvan Farahani Christos Davatzikos Koen van Leemput Bjoern Menze 107 1,623 0 05 Nov 2018
No New-Net Fabian Isensee Philipp Kickingereder Wolfgang Wick Martin Bendszus Klaus H. Maier-Hein SSeg 53 396 0 27 Sep 2018
Recurrent neural networks for aortic image sequence segmentation with sparse annotations Wenjia Bai Hideaki Suzuki C. Qin G. Tarroni Ozan Oktay Paul M. Matthews Daniel Rueckert MedIm 41 113 0 01 Aug 2018
UNet++: A Nested U-Net Architecture for Medical Image Segmentation Zongwei Zhou M. R. Siddiquee Nima Tajbakhsh Jianming Liang SSeg 59 6,066 0 18 Jul 2018
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 314 129,831 0 12 Jun 2017
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 181 8,615 0 15 Jun 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation Konstantinos Kamnitsas C. Ledig Virginia Newcombe Joanna P. Simpson A. D. Kane David Menon Daniel Rueckert Ben Glocker MedIm 3DV 100 3,049 0 18 Mar 2016
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 352 61,900 0 04 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 519 149,474 0 22 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 202 12,632 0 11 Dec 2014