Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters

1 December 2022

Yanwu Xu

Papers citing "Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters"

31 / 31 papers shown

Title
Opinions Vary? Diagnosis First! Junde Wu Huihui Fang Dalu Yang Binghong Wu Wenshuo Zhou Fangxin Shang Yehui Yang Yanwu Xu 35 3 0 14 Feb 2022
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking Results Raghav Mehta Angelos Filos Ujjwal Baid C. Sako Richard McKinley ... Christos Davatzikos Bjoern Menze Spyridon Bakas Y. Gal Tal Arbel UQCV 36 46 0 19 Dec 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 234 40,217 0 22 Oct 2020
End-to-End Object Detection with Transformers Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko ViT 3DV PINN 237 12,847 0 26 May 2020
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs J. Orlando Huazhu Fu J. Barbosa-Breda K. V. Keer Deepti R. Bathula ... Fei Li Xiulan Zhang Yanwu Xu Xiulan Zhang Hrvoje Bogunović 85 610 0 08 Oct 2019
Attention Guided Network for Retinal Image Segmentation Shihao Zhang Huazhu Fu Yuguang Yan Yubing Zhang Qingyao Wu Ming-Hsuan Yang Mingkui Tan Yanwu Xu SSeg 44 181 0 25 Jul 2019
Boundary and Entropy-driven Adversarial Learning for Fundus Image Segmentation Shujun Wang Lequan Yu Kang Li Xin Yang Chi-Wing Fu Pheng-Ann Heng FedML 29 137 0 26 Jun 2019
PHiSeg: Capturing Uncertainty in Medical Image Segmentation Christian F. Baumgartner K. Tezcan K. Chaitanya A. Hötker Urs J. Muehlematter K. Schawkat Anton S. Becker O. Donati E. Konukoglu UQCV 21 202 0 07 Jun 2019
Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds Peng Cao Yilun Xu Yuqing Kong Yizhou Wang 13 55 0 31 May 2019
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities Simon A. A. Kohl Bernardino Romera-Paredes Klaus H. Maier-Hein Danilo Jimenez Rezende S. M. Ali Eslami Pushmeet Kohli Andrew Zisserman Olaf Ronneberger BDL 41 88 0 30 May 2019
Patch-based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation Shujun Wang Lequan Yu Xin Yang Chi-Wing Fu Pheng-Ann Heng MedIm 34 222 0 20 Feb 2019
Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion Ryutaro Tanno A. Saeedi S. Sankaranarayanan Daniel C. Alexander N. Silberman NoLa 50 230 0 10 Feb 2019
A Probabilistic U-Net for Segmentation of Ambiguous Images Simon A. A. Kohl Bernardino Romera-Paredes Clemens Meyer J. Fauw J. Ledsam Klaus H. Maier-Hein S. M. Ali Eslami Danilo Jimenez Rezende Olaf Ronneberger UQCV SSeg 62 570 0 13 Jun 2018
On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation Alain Jungo Raphael Meier E. Ermiş Marcela Blatti-Moreno Evelyn Herrmann Roland Wiest M. Reyes UQCV 35 97 0 07 Jun 2018
Denoising Prior Driven Deep Neural Network for Image Restoration W. Dong Peiyao Wang W. Yin Guangming Shi Fangfang Wu Xiaotong Lu SupR 51 421 0 21 Jan 2018
Deep learning from crowds Filipe Rodrigues Francisco Câmara Pereira FedML NoLa 38 257 0 06 Sep 2017
Learning Deep CNN Denoiser Prior for Image Restoration Peng Sun W. Zuo Shuhang Gu Lei Zhang SupR 124 1,839 0 11 Apr 2017
Who Said What: Modeling Individual Labelers Improves Classification M. Guan Varun Gulshan Andrew M. Dai Geoffrey E. Hinton NoLa 30 226 0 26 Mar 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 250 4,667 0 15 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 458 5,748 0 05 Dec 2016
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses Christian Rupprecht Iro Laina R. DiPietro Maximilian Baust Federico Tombari Nassir Navab Gregory D. Hager 37 185 0 01 Dec 2016
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 752 14,454 0 07 Oct 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 219 10,412 0 21 Jul 2016
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles Stefan Lee Senthil Purushwalkam Michael Cogswell Viresh Ranjan David J. Crandall Dhruv Batra BDL UQCV OOD 40 178 0 24 Jun 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 183 8,615 0 15 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.2K 192,638 0 10 Dec 2015
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding Alex Kendall Vijay Badrinarayanan R. Cipolla UQCV BDL 52 1,062 0 09 Nov 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 442 7,952 0 13 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 981 76,547 0 18 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 622 149,474 0 22 Dec 2014
Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems David R Karger Sewoong Oh Devavrat Shah 56 380 0 17 Oct 2011