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

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"

19 / 19 papers shown

Title
More Than Positive and Negative: Communicating Fine Granularity in Medical Diagnosis Xiangyu Peng Kai Wang Jianfei Yang Yingying Zhu Yang You MedIm 24 0 0 05 Aug 2024
Learning Low-Rank Feature for Thorax Disease Classification Rajeev Goel Utkarsh Nath Yancheng Wang Alvin C. Silva Teresa Wu Yingzhen Yang 22 0 0 14 Feb 2024
HydraViT: Adaptive Multi-Branch Transformer for Multi-Label Disease Classification from Chest X-ray Images Şaban Öztürk M. Y. Turali Tolga Çukur MedIm ViT 38 10 0 09 Oct 2023
Instrumental Variable Learning for Chest X-ray Classification Weizhi Nie Chen Zhang Dan Song Yunpeng Bai Keliang Xie Anan Liu CML 24 4 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 28 1 0 01 Apr 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging K. Zou Zhihao Chen Xuedong Yuan Xiaojing Shen Meng Wang H. Fu UQCV 40 85 0 16 Feb 2023
Private Multi-Winner Voting for Machine Learning Adam Dziedzic Christopher A. Choquette-Choo Natalie Dullerud Vinith M. Suriyakumar Ali Shahin Shamsabadi Muhammad Ahmad Kaleem S. Jha Nicolas Papernot Xiao Wang 31 1 0 23 Nov 2022
Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification Junfei Xiao Yutong Bai Alan Yuille Zongwei Zhou MedIm ViT 35 58 0 23 Oct 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 18 12 0 10 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 30 2 0 05 Aug 2022
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification Dwarikanath Mahapatra MedIm 14 2 0 04 Apr 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 25 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 88 0 23 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
Deep Learning for Chest X-ray Analysis: A Survey Ecem Sogancioglu E. Çallı Bram van Ginneken K. G. V. Leeuwen K. Murphy LM&MA 22 315 0 15 Mar 2021
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 15 11 0 10 Dec 2020
Deep Learning for Medical Anomaly Detection -- A Survey Tharindu Fernando Harshala Gammulle Simon Denman S. Sridharan Clinton Fookes OOD 20 268 0 04 Dec 2020
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 11 534 0 05 Dec 2019
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 283 10,613 0 19 Feb 2017