A survey on attention mechanisms for medical applications: are we moving towards better algorithms?

26 April 2022

Papers citing "A survey on attention mechanisms for medical applications: are we moving towards better algorithms?"

21 / 21 papers shown

Title
Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical Diagnosis Diogo J. Araújo M. R. Verdelho Alceu Bissoto Jacinto C. Nascimento Carlos Santiago Catarina Barata 27 1 0 02 May 2024
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis Chang-Tien Lu OOD BDL CML MedIm 24 0 0 28 Oct 2022
LARF: Two-level Attention-based Random Forests with a Mixture of Contamination Models A. Konstantinov Lev V. Utkin 30 0 0 11 Oct 2022
Transformers in Medical Imaging: A Survey Fahad Shamshad Salman Khan Syed Waqas Zamir Muhammad Haris Khan Munawar Hayat F. Khan H. Fu ViT LM&MA MedIm 106 660 0 24 Jan 2022
Lymph Node Detection in T2 MRI with Transformers T. Mathai Sungwon Lee Daniel C. Elton Thomas C. Shen Yifan Peng Zhiyong Lu Ronald M. Summers MedIm 62 19 0 09 Nov 2021
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation Fenglin Liu Chenyu You Xian Wu Shen Ge Sheng Wang Xu Sun MedIm 73 91 0 08 Nov 2021
Boundary-aware Transformers for Skin Lesion Segmentation Jiacheng Wang Lan Wei Liansheng Wang Qichao Zhou Lei Zhu Jing Qin ViT MedIm 72 128 0 08 Oct 2021
BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation Qiran Jia Hai Shu ViT MedIm 88 69 0 25 Sep 2021
MISSFormer: An Effective Medical Image Segmentation Transformer Xiaohong Huang Zhifang Deng Dandan Li Xueguang Yuan ViT MedIm 87 172 0 15 Sep 2021
Variational Topic Inference for Chest X-Ray Report Generation Ivona Najdenkoska Xiantong Zhen M. Worring Ling Shao MedIm 38 28 0 15 Jul 2021
Visual Transformer with Statistical Test for COVID-19 Classification Chih-Chung Hsu Guan-Lin Chen Mei-Hsuan Wu ViT MedIm 61 15 0 12 Jul 2021
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 101 208 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
AG-CUResNeSt: A Novel Method for Colon Polyp Segmentation D. V. Sang Tran Quang Chung P. N. Lan D. V. Hang D. Long N. T. Thuy 109 21 0 02 May 2021
AGMB-Transformer: Anatomy-Guided Multi-Branch Transformer Network for Automated Evaluation of Root Canal Therapy Yunxiang Li G. Zeng Yifan Zhang Jun Wang Qianni Zhang ... Neng Xia Ruizi Peng Kai Tang Yaqi Wang Shuai Wang MedIm AI4CE 90 28 0 02 May 2021
Convolution-Free Medical Image Segmentation using Transformers Davood Karimi Serge Vasylechko Ali Gholipour ViT MedIm 84 121 0 26 Feb 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation Yundong Zhang Huiye Liu Qiang Hu ViT MedIm 198 890 0 16 Feb 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 225 2,428 0 04 Jan 2021
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation Yasuhide Miura Yuhao Zhang Emily Bao Tsai C. Langlotz Dan Jurafsky MedIm 146 156 0 20 Oct 2020
Learn To Pay Attention Saumya Jetley Nicholas A. Lord Namhoon Lee Philip H. S. Torr 48 436 0 06 Apr 2018
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 214 7,923 0 17 Aug 2015