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Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection

22 June 2022

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Papers citing "Influence of uncertainty estimation techniques on false-positive reduction in liver lesion detection"

37 / 37 papers shown

Title
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness J. Liu Shreyas Padhy Jie Jessie Ren Zi Lin Yeming Wen Ghassen Jerfel Zachary Nado Jasper Snoek Dustin Tran Balaji Lakshminarayanan UQCV BDL 224 51 0 01 May 2022
A Quantitative Comparison of Epistemic Uncertainty Maps Applied to Multi-Class Segmentation Robin Camarasa D. Bos J. Hendrikse P. Nederkoorn D. Epidemiology D. Neurology Department of Computer Science UQCV 74 12 0 22 Sep 2021
Using uncertainty estimation to reduce false positives in liver lesion detection Ishaan Bhat Hugo J. Kuijf Veronika Cheplygina J. Pluim MedIm 118 9 0 12 Jan 2021
Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study Matthew Ng F. Guo L. Biswas S. Petersen Stefan K. Piechnik S. Neubauer G. Wright UQCV 68 33 0 31 Dec 2020
Overcoming the limitations of patch-based learning to detect cancer in whole slide images Ozan Ciga Tony Xu S. Nofech-Mozes S. Noy F. Lu Anne L. Martel 68 41 0 01 Dec 2020
Automatic segmentation with detection of local segmentation failures in cardiac MRI Jörg Sander B. D. de Vos Ivana Išgum 94 50 0 13 Nov 2020
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 190 642 0 02 Aug 2020
Reinforcement Learning with Uncertainty Estimation for Tactical Decision-Making in Intersections C. Hoel Tommy Tram J. Sjöberg 61 30 0 17 Jun 2020
Causality matters in medical imaging Daniel Coelho De Castro Ian Walker Ben Glocker CML 53 346 0 17 Dec 2019
Deep Ensembles: A Loss Landscape Perspective Stanislav Fort Huiyi Hu Balaji Lakshminarayanan OOD UQCV 125 629 0 05 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 556 42,639 0 03 Dec 2019
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation Alireza Mehrtash W. Wells C. Tempany Purang Abolmaesumi Tina Kapur OOD FedML UQCV 130 276 0 29 Nov 2019
Liver segmentation and metastases detection in MR images using convolutional neural networks M. J. Jansen Hugo J. Kuijf M. Niekel W. Veldhuis F. Wessels M. Viergever J. Pluim MedIm 38 36 0 15 Oct 2019
A General Framework for Uncertainty Estimation in Deep Learning Antonio Loquercio Mattia Segu Davide Scaramuzza UQCV BDL OOD 68 293 0 16 Jul 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 187 1,705 0 06 Jun 2019
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT Philipp Seeböck J. Orlando T. Schlegl S. Waldstein Hrvoje Bogunović S. Klimscha Georg Langs U. Schmidt-Erfurth UQCV 120 137 0 29 May 2019
The Liver Tumor Segmentation Benchmark (LiTS) Patrick Bilic P. Christ Hongwei Bran Li Eugene Vorontsov Avi Ben-Cohen ... L. Soler Bram van Ginneken H. Greenspan Leo Joskowicz Bjoern Menze 128 1,028 0 13 Jan 2019
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI Jörg Sander B. D. de Vos J. Wolterink Ivana Išgum 52 59 0 27 Sep 2018
Joint Segmentation and Uncertainty Visualization of Retinal Layers in Optical Coherence Tomography Images using Bayesian Deep Learning S. Sedai B. Antony Dwarikanath Mahapatra R. Garnavi UQCV 59 62 0 12 Sep 2018
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation T. Nair Doina Precup Douglas L. Arnold Tal Arbel UQCV 65 446 0 03 Aug 2018
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks Guotai Wang Wenqi Li Michael Aertsen Jan Deprest Sebastien Ourselin Tom Vercauteren UQCV MedIm OOD 163 593 0 19 Jul 2018
Leveraging Uncertainty Estimates for Predicting Segmentation Quality Terrance Devries Graham W. Taylor UQCV 122 114 0 02 Jul 2018
Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions Zach Eaton-Rosen Felix J. S. Bragman Sotirios Bisdas Sebastien Ourselin M. Jorge Cardoso UQCV 63 87 0 22 Jun 2018
MILD-Net: Minimal Information Loss Dilated Network for Gland Instance Segmentation in Colon Histology Images S. Graham Hao Chen Jevgenij Gamper Qi Dou Pheng-Ann Heng David R. J. Snead Yee Wah Tsang Nasir M. Rajpoot MedIm 75 308 0 05 Jun 2018
Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling Abhijit Guha Roy Sailesh Conjeti Nassir Navab Christian Wachinger UQCV 49 87 0 19 Apr 2018
Understanding Measures of Uncertainty for Adversarial Example Detection Lewis Smith Y. Gal UQCV 96 365 0 22 Mar 2018
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,877 0 14 Jun 2017
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 708 10,826 0 19 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 847 5,847 0 05 Dec 2016
Distribution-Free Predictive Inference For Regression Jing Lei M. G'Sell Alessandro Rinaldo Robert Tibshirani Larry A. Wasserman 418 845 0 14 Apr 2016
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding Alex Kendall Vijay Badrinarayanan R. Cipolla UQCV BDL 94 1,066 0 09 Nov 2015
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 229 1,517 0 08 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 867 9,353 0 06 Jun 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 192 1,894 0 20 May 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,441 0 18 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 388 25,747 0 09 Jun 2011