Multi-label Thoracic Disease Image Classification with Cross-Attention Networks

21 July 2020

Hu Wang

Papers citing "Multi-label Thoracic Disease Image Classification with Cross-Attention Networks"

20 / 20 papers shown

Title
In-Model Merging for Enhancing the Robustness of Medical Imaging Classification Models Hu Wang Ibrahim Almakky Congbo Ma Numan Saeed Mohammad Yaqub MoMe 132 0 0 27 Feb 2025
Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation Chong Wang Fengbei Liu Yuanhong Chen Helen Frazer Gustavo Carneiro 120 2 0 07 Nov 2024
EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning Jingfeng Yao Xinggang Wang Yuehao Song Huangxuan Zhao Jun Ma Yajie Chen Wenyu Liu Bo Wang ViT 82 6 0 08 May 2024
Learning Low-Rank Feature for Thorax Disease Classification Rajeev Goel Utkarsh Nath Yancheng Wang Alvin C. Silva Teresa Wu Yingzhen Yang 92 0 0 14 Feb 2024
Long-tailed multi-label classification with noisy label of thoracic diseases from chest X-ray Zihang Jiang Qingsong Yao Zhiyang He Xiaodong Tao Kevin Zhou 40 1 0 29 Nov 2023
Class-Specific Distribution Alignment for Semi-Supervised Medical Image Classification Zhongzheng Huang Jiawei Wu Tao Wang Zuoyong Li Anastasia Ioannou OOD 93 5 0 29 Jul 2023
Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition Jia-Xin Zhuang Jiabin Cai Jianguo Zhang Wei-Shi Zheng Ruixuan Wang 45 11 0 19 Jul 2023
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification Junfei Xiao Yutong Bai Alan Yuille Zongwei Zhou MedIm ViT 82 62 0 23 Oct 2022
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification Yuanhong Chen Fengbei Liu Hu Wang Chong Wang Yu Tian Yuyuan Liu G. Carneiro NoLa 135 8 0 03 Mar 2022
Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis Xi Ouyang Srikrishna Karanam Ziyan Wu Terrence Chen Jiayu Huo X. Zhou Qian Wang Jie Cheng OOD 55 94 0 23 Dec 2021
SCALP -- Supervised Contrastive Learning for Cardiopulmonary Disease Classification and Localization in Chest X-rays using Patient Metadata Ajay Jaiswal Tianhao Li Cyprian Zander Yan Han Justin F. Rousseau Yifan Peng Ying Ding 69 14 0 27 Oct 2021
Label-Assemble: Leveraging Multiple Datasets with Partial Labels Mintong Kang Bowen Li Zengle Zhu Yongyi Lu Elliot K. Fishman Alan Yuille Zongwei Zhou 94 18 0 25 Sep 2021
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis Kangning Liu Yiqiu Shen Nan Wu Jakub Chledowski C. Fernandez‐Granda Krzysztof J. Geras 98 23 0 13 Jun 2021
Weighing Features of Lung and Heart Regions for Thoracic Disease Classification Jiansheng Fang Yanwu Xu Yitian Zhao Yuguang Yan Junling Liu Jiang-Dong Liu 54 9 0 26 May 2021
XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations Eunji Kim Siwon Kim Minji Seo Sungroh Yoon ViT FAtt 74 116 0 19 Mar 2021
Deep Learning for Chest X-ray Analysis: A Survey Ecem Sogancioglu E. Çallı Bram van Ginneken K. G. V. Leeuwen K. Murphy LM&MA 124 329 0 15 Mar 2021
NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification Fengbei Liu Yuanhong Chen Yu Tian Yuyuan Liu Chong Wang Vasileios Belagiannis G. Carneiro 66 13 0 06 Mar 2021
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification Fengbei Liu Yu Tian F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro 75 44 0 05 Mar 2021
Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification Renato Hermoza Gabriel Maicas Jacinto C. Nascimento G. Carneiro 83 22 0 21 May 2020
Energy Models for Better Pseudo-Labels: Improving Semi-Supervised Classification with the 1-Laplacian Graph Energy Angelica I. Aviles-Rivero Nicolas Papadakis Ruoteng Li P. Sellars Samar M. Alsaleh R. Tan Carola-Bibiane Schönlieb 71 3 0 20 Jun 2019