Propagating Uncertainty in Multi-Stage Bayesian Convolutional Neural
Networks with Application to Pulmonary Nodule Detection

Propagating Uncertainty in Multi-Stage Bayesian Convolutional Neural Networks with Application to Pulmonary Nodule Detection

1 December 2017

Benjamin Woodward

Papers citing "Propagating Uncertainty in Multi-Stage Bayesian Convolutional Neural Networks with Application to Pulmonary Nodule Detection"

15 / 15 papers shown

Title
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 96 1 0 25 Nov 2024
A Review of Uncertainty Estimation and its Application in Medical Imaging K. Zou Zhihao Chen Xuedong Yuan Xiaojing Shen Meng Wang Huazhu Fu UQCV 54 87 0 16 Feb 2023
Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation A. Vasiliuk Daria Frolova Mikhail Belyaev B. Shirokikh 39 2 0 01 Nov 2022
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 81 0 05 Oct 2022
Uncertainty categories in medical image segmentation: a study of source-related diversity Luke Whitbread M. Jenkinson UD UQCV 38 3 0 01 Mar 2022
False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation Pascal Colling Matthias Rottmann L. Roese-Koerner Hanno Gottschalk 3DPC 30 3 0 29 Oct 2021
False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates Kira Maag UQCV 21 6 0 28 Jun 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 23 574 0 27 May 2021
Using uncertainty estimation to reduce false positives in liver lesion detection Ishaan Bhat Hugo J. Kuijf Dovile Juodelyte J. Pluim MedIm 13 8 0 12 Jan 2021
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates Kira Maag Matthias Rottmann Serin Varghese Fabian Hüger Peter Schlicht Hanno Gottschalk UQCV 22 12 0 14 Dec 2020
Learning Loss for Test-Time Augmentation Ildoo Kim Younghoon Kim Sungwoong Kim OOD 26 91 0 22 Oct 2020
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection Marius Schubert Karsten Kahl Matthias Rottmann UQCV 29 24 0 04 Oct 2020
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI Jörg Sander B. D. de Vos J. Wolterink Ivana Išgum 19 59 0 27 Sep 2018
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 213 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015