Quantifying and Leveraging Classification Uncertainty for Chest
Radiograph Assessment

Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment

18 June 2019

Florin-Cristian Ghesu

Bogdan Georgescu

Sebastian Gündel

Ramandeep Singh

Dorin Comaniciu

Papers citing "Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment"

14 / 14 papers shown

Title
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods Ling Huang S. Ruan Yucheng Xing Mengling Feng 46 20 0 09 Oct 2023
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis Raghav Mehta Changjian Shui Tal Arbel 24 12 0 06 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 85 0 16 Feb 2023
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 34 80 0 05 Oct 2022
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 61 1,111 0 07 Jul 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 24 317 0 15 Mar 2021
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation Lie Ju Xin Wang Lin Wang Dwarikanath Mahapatra Xin Zhao Mehrtash Harandi Tom Drummond Tongliang Liu Z. Ge NoLa OOD 38 22 0 28 Feb 2021
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation V. Nath Dong Yang Bennett A. Landman Daguang Xu H. Roth 35 68 0 07 Jan 2021
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises S. Kevin Zhou H. Greenspan Christos Davatzikos James S. Duncan Bram van Ginneken A. Madabhushi Jerry L. Prince Daniel Rueckert Ronald M. Summers 55 625 0 02 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
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning Yuankai Huo Jinzheng Cai Chi-Tung Cheng Ashwin Raju K. Yan Bennett A. Landman Jing Xiao Le Lu Chien-Hung Liao Adam P. Harrison MedIm 24 11 0 28 Jun 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
Model-Based and Data-Driven Strategies in Medical Image Computing Daniel Rueckert Julia A. Schnabel OOD MedIm AI4CE 28 50 0 23 Sep 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,683 0 05 Dec 2016