Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks

12 March 2018

Papers citing "Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks"

28 / 28 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 76 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 32 2 0 07 Nov 2024
Learning Low-Rank Feature for Thorax Disease Classification Rajeev Goel Utkarsh Nath Yancheng Wang Alvin C. Silva Teresa Wu Yingzhen Yang 30 0 0 14 Feb 2024
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning Yixiong Chen Chunhui Zhang C. Ding Li Liu 34 14 0 08 Dec 2022
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems Kai Packhauser Lukas Folle Florian Thamm Andreas Maier DiffM MedIm 21 61 0 02 Nov 2022
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification Junfei Xiao Yutong Bai Alan Yuille Zongwei Zhou MedIm ViT 37 59 0 23 Oct 2022
Probabilistic Integration of Object Level Annotations in Chest X-ray Classification Tom van Sonsbeek Xiantong Zhen Dwarikanath Mahapatra M. Worring 31 12 0 13 Oct 2022
EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification Tien-Phat Nguyen Trong-Thang Pham Tri Minh Nguyen Hung Le Dung Nguyen Hau Lam Phong H. Nguyen Jennifer Fowler Minh-Triet Tran Ngan Le ViT 30 13 0 07 Oct 2022
SwinCheX: Multi-label classification on chest X-ray images with transformers Sina Taslimi Soroush Taslimi Nima Fathi Mohammad Salehi M. Rohban ViT MedIm 24 24 0 09 Jun 2022
External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data Yuyin Zhou D. Dreizin Yan Wang Fengze Liu Wei Shen Alan Yuille 20 16 0 04 Jan 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-Zhi Cheng OOD 18 89 0 23 Dec 2021
Multi-label Ranking: Mining Multi-label and Label Ranking Data L. Dery 27 7 0 03 Jan 2021
Automatic Diagnosis of Pneumothorax from Chest Radiographs: A Systematic Literature Review Tahira Iqbal A. Shaukat M. Akram Zartasha Mustansar 24 10 0 21 Dec 2020
Deep Mining Generation of Lung Cancer Malignancy Models from Chest X-ray Images M. J. Horry Subrata Chakraborty B. Pradhan M. Paul D. Gomes Anwaar-ul Haq 23 11 0 10 Dec 2020
Deformable Gabor Feature Networks for Biomedical Image Classification Xuan Gong Xin Xia Wentao Zhu Baochang Zhang David Doermann Lian Zhuo OOD MedIm 22 24 0 07 Dec 2020
Bias Field Poses a Threat to DNN-based X-Ray Recognition Binyu Tian Qing Guo Felix Juefei Xu W. L. Chan Yupeng Cheng Xiaohong Li Xiaofei Xie Shengchao Qin AAML AI4CE 34 33 0 19 Sep 2020
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT K. Yan Jinzheng Cai Youjing Zheng Adam P. Harrison D. Jin Youbao Tang Yuxing Tang Lingyun Huang Jing Xiao Le Lu 42 84 0 05 Sep 2020
Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation S. Guendel A. Setio Sasa Grbic Andreas Maier Dorin Comaniciu 14 3 0 05 Aug 2020
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment Florin-Cristian Ghesu Bogdan Georgescu Awais Mansoor Y. Yoo Eli Gibson ... Ramandeep Singh S. Digumarthy M. Kalra Sasa Grbic Dorin Comaniciu UQCV EDL 23 55 0 08 Jul 2020
Deep Mining External Imperfect Data for Chest X-ray Disease Screening Luyang Luo Lequan Yu Hao Chen Quande Liu Xi Wang Jiaqi Xu Pheng-Ann Heng OOD 27 75 0 06 Jun 2020
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes R. Draelos D. Dov Maciej Mazurowski J. Lo Ricardo Henao Geoffrey D. Rubin Lawrence Carin 17 68 0 12 Feb 2020
Deep Multi Label Classification in Affine Subspaces T. Kurmann Pablo Márquez-Neila Sebastian Wolf Raphael Sznitman 13 5 0 10 Jul 2019
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays Chengsheng Mao Liang Yao Yuan Luo MedIm GNN 39 56 0 31 Mar 2019
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images Han Liu Lei Wang Y. Nan F. Jin Qi Wang J. Pu 104 94 0 30 Oct 2018
Weakly Supervised Deep Learning for Thoracic Disease Classification and Localization on Chest X-rays Chaochao Yan Jiawen Yao Ruoyu Li Zheng Xu Junzhou Huang 22 118 0 16 Jul 2018
ChestNet: A Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography Hongyu Wang Yong-quan Xia 26 106 0 09 Jul 2018
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks Saeid Asgari Taghanaki A. Das Ghassan Hamarneh MedIm 35 52 0 09 Jul 2018
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions L. Yao Jordan Prosky Eric Poblenz Ben Covington Kevin Lyman 26 120 0 21 Mar 2018