Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels

25 May 2020

Papers citing "Interpreting Chest X-rays via CNNs that Exploit Hierarchical Disease Dependencies and Uncertainty Labels"

50 / 59 papers shown

Title
CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning Gianluca Carloni Sotirios A. Tsaftaris Sara Colantonio OOD 31 1 0 09 Aug 2024
More Than Positive and Negative: Communicating Fine Granularity in Medical Diagnosis Xiangyu Peng Kai Wang Jianfei Yang Yingying Zhu Yang You MedIm 42 0 0 05 Aug 2024
Faithful Attention Explainer: Verbalizing Decisions Based on Discriminative Features Yao Rong David Scheerer Enkelejda Kasneci 48 0 0 16 May 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 39 5 0 08 May 2024
Computer-Aided Diagnosis of Thoracic Diseases in Chest X-rays using hybrid CNN-Transformer Architecture Sonit Singh MedIm ViT 29 1 0 18 Apr 2024
Deep learning with noisy labels in medical prediction problems: a scoping review Yishu Wei Yu Deng Cong Sun Mingquan Lin Hongmei Jiang Yifan Peng NoLa 32 5 0 19 Mar 2024
Regularizing CNNs using Confusion Penalty Based Label Smoothing for Histopathology Images Somenath Kuiry Alaka Das M. Nasipuri N. Das 19 0 0 16 Mar 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
Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in Multi-Label Image Classification with Partial Labels Chak Fong Chong Xinyi Fang Jielong Guo Yapeng Wang Wei Ke C. Lam Sio-Kei Im 31 1 0 30 Jan 2024
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets? Bidur Khanal Binod Bhattarai Bishesh Khanal Cristian A. Linte NoLa 21 0 0 15 Jan 2024
Sample selection with noise rate estimation in noise learning of medical image analysis Maolin Li G. Tarroni OOD 40 0 0 23 Dec 2023
HydraViT: Adaptive Multi-Branch Transformer for Multi-Label Disease Classification from Chest X-ray Images Şaban Öztürk M. Y. Turali Tolga Çukur MedIm ViT 46 10 0 09 Oct 2023
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 41 20 0 09 Oct 2023
RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction Sameer Tajdin Khanna Adam Dejl Kibo Yoon Q. H. Truong Han G. Duong Agustina Saenz Pranav Rajpurkar 15 8 0 09 Aug 2023
Improving Medical Image Classification in Noisy Labels Using Only Self-supervised Pretraining Bidur Khanal Binod Bhattarai Bishesh Khanal Cristian A. Linte NoLa 39 8 0 08 Aug 2023
Deep Reinforcement Learning Framework for Thoracic Diseases Classification via Prior Knowledge Guidance Weizhi Nie Chen Zhang Dan Song Lina Zhao Yunpeng Bai Keliang Xie Anan Liu 25 0 0 02 Jun 2023
Instrumental Variable Learning for Chest X-ray Classification Weizhi Nie Chen Zhang Dan Song Yunpeng Bai Keliang Xie Anan Liu CML 29 5 0 20 May 2023
Evaluating the impact of an explainable machine learning system on the interobserver agreement in chest radiograph interpretation Hieu H. Pham H. Nguyen Hieu T. Nguyen Linh T. Le K. Lam 34 1 0 01 Apr 2023
Improving Object Detection in Medical Image Analysis through Multiple Expert Annotators: An Empirical Investigation Hieu H. Pham Khiem H. Le Tuan V. Tran H. Nguyen 25 1 0 29 Mar 2023
ExplainFix: Explainable Spatially Fixed Deep Networks Alex Gaudio Christos Faloutsos A. Smailagic P. Costa A. Campilho FAtt 35 3 0 18 Mar 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging K. Zou Zhihao Chen Xuedong Yuan Xiaojing Shen Meng Wang Huazhu Fu UQCV 49 86 0 16 Feb 2023
Private Multi-Winner Voting for Machine Learning Adam Dziedzic Christopher A. Choquette-Choo Natalie Dullerud Vinith Suriyakumar Ali Shahin Shamsabadi Muhammad Ahmad Kaleem S. Jha Nicolas Papernot Xiao Wang 42 1 0 23 Nov 2022
Improving Chest X-Ray Classification by RNN-based Patient Monitoring D. Biesner H. Schneider Benjamin Wulff U. Attenberger R. Sifa 4 2 0 28 Oct 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
Image Projective Transformation Rectification with Synthetic Data for Smartphone-captured Chest X-ray Photos Classification Chak Fong Chong Yapeng Wang Benjamin Ng Wuman Luo Xu Yang MedIm 34 4 0 12 Oct 2022
ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification Md. Iqbal Hossain Mohammad Zunaed Md. Kawsar Ahmed S. M. J. Hossain Anwarul Hasan Taufiq Hasan ViT 26 4 0 06 Oct 2022
Learning to diagnose common thorax diseases on chest radiographs from radiology reports in Vietnamese Thao T. B. Nguyen T. M. Vo Thang V. Nguyen Hieu H. Pham H. Nguyen 23 4 0 11 Sep 2022
Detecting COVID-19 from digitized ECG printouts using 1D convolutional neural networks Thao Nguyen Hieu H. Pham Huy Le A. Nguyen Ngo Tien Thanh Cuong D. Do 32 12 0 10 Aug 2022
An Accurate and Explainable Deep Learning System Improves Interobserver Agreement in the Interpretation of Chest Radiograph Hieu H. Pham H. Q. Nguyen H. T. Nguyen T. Le M. Dao MedIm 33 14 0 06 Aug 2022
Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices Dat Ngo Thao T. B. Nguyen Hieu T. Nguyen D. Nguyen H. Nguyen Hieu H. Pham OOD 38 2 0 05 Aug 2022
Decision Making for Hierarchical Multi-label Classification with Multidimensional Local Precision Rate Yuting Ye Christine Ho Ci-Ren Jiang W. T. Lee Haiyan Huang 21 0 0 16 May 2022
Pneumonia Detection in Chest X-Rays using Neural Networks Narayana Darapaneni Ashish Ranjan Dany Bright D. Trivedi K. Kumar Vivek Kumar A. Paduri 24 1 0 07 Apr 2022
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification Dwarikanath Mahapatra MedIm 20 2 0 04 Apr 2022
PediCXR: An open, large-scale chest radiograph dataset for interpretation of common thoracic diseases in children Hieu H. Pham N. H. Nguyen Thanh-Truong Tran T. N. Nguyen H. Nguyen LM&MA 19 29 0 20 Mar 2022
Calibrating Histopathology Image Classifiers using Label Smoothing Jerry W. Wei Lorenzo Torresani Jason W. Wei Saeed Hassanpour 22 1 0 28 Jan 2022
Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection M. J. Horry Subrata Chakraborty B. Pradhan M. Paul Jing Zhu H. Loh P. Barua Usha R. Acharya AI4CE 33 7 0 24 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
Encoding Hierarchical Information in Neural Networks helps in Subpopulation Shift Amitangshu Mukherjee Isha Garg Kaushik Roy 14 5 0 20 Dec 2021
Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features L. Crespi Daniele Loiacono A. Chiti 13 4 0 29 Sep 2021
Label-Assemble: Leveraging Multiple Datasets with Partial Labels Mintong Kang Bowen Li Zengle Zhu Yongyi Lu Elliot K. Fishman Alan Yuille Zongwei Zhou 25 18 0 25 Sep 2021
Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images Zhenzhen Wang Carla Saoud A. Popel Aaron W. James Aleksander S. Popel Jeremias Sulam 21 21 0 22 Sep 2021
Learning to Automatically Diagnose Multiple Diseases in Pediatric Chest Radiographs Using Deep Convolutional Neural Networks Thanh-Truong Tran H. Pham T. Nguyen T. Le H. T. Nguyen H. Q. Nguyen 19 11 0 14 Aug 2021
A Systematic Benchmarking Analysis of Transfer Learning for Medical Image Analysis M. Taher F. Haghighi Ruibin Feng Michael B. Gotway Jianming Liang 23 67 0 12 Aug 2021
GAN-based Data Augmentation for Chest X-ray Classification Shobhita Sundaram Neha Hulkund MedIm 19 36 0 07 Jul 2021
Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification in Chest X-rays Uday Kamal Mohammad Zunaed N. Nizam Taufiq Hasan 33 27 0 10 Jun 2021
A clinical validation of VinDr-CXR, an AI system for detecting abnormal chest radiographs N. H. Nguyen H. Nguyen N. T. Nguyen T. Nguyen Hieu H. Pham T. N. Nguyen 21 8 0 06 Apr 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 24 316 0 15 Mar 2021
VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labels Saahil Jain Akshay Smit Steven QH Truong C. Nguyen Minh-Thanh Huynh Mudit Jain Victoria A Young A. Ng M. Lungren Pranav Rajpurkar MedIm 19 27 0 23 Feb 2021
Automatic Diagnosis of Pneumothorax from Chest Radiographs: A Systematic Literature Review Tahira Iqbal A. Shaukat M. Akram Zartasha Mustansar 22 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