DIAMANT: Dual Image-Attention Map Encoders For Medical Image
Segmentation

DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation

28 April 2023

Peter Weinberger

Seyed-Ahmad Ahmadi

Nassir Navab

Papers citing "DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation"

6 / 6 papers shown

Title
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation Bingzhi Chen Yishu Liu Zheng-Wei Zhang Guangming Lu A. W. Kong MedIm ViT 101 206 0 12 Jul 2021
TransClaw U-Net: Claw U-Net with Transformers for Medical Image Segmentation Yao Chang Menghan Hu Zhai Guangtao Xiao-Ping Zhang MedIm ViT 68 96 0 12 Jul 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 295 5,761 0 29 Apr 2021
Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius Heng Wang Lorenzo Torresani ViT 278 1,978 0 09 Feb 2021
HarDNet: A Low Memory Traffic Network P. Chao Chao-Yang Kao Yunxing Ruan Chien-Hsiang Huang Y. Lin 196 263 0 03 Sep 2019
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 247 36,237 0 25 Aug 2016