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1909.01891
Cited By
Let's agree to disagree: learning highly debatable multirater labelling
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
4 September 2019
Carole H. Sudre
B. G. Anson
S. Ingala
C. Lane
Daniel Jimenez
L. Haider
Thomas Varsavsky
Ryutaro Tanno
Lorna Smith
Sébastien Ourselin
H. Jäger
M. Jorge Cardoso
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Papers citing
"Let's agree to disagree: learning highly debatable multirater labelling"
17 / 17 papers shown
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results
Meritxell Riera-Marin
S. Ko
Julia Rodriguez-Comas
Matthias Stefan May
Zhaohong Pan
...
Anton Aubanell
Andreu Antolin
Javier Garcia-Lopez
M. A. G. Ballester
Adrian Galdran
UQCV
371
4
0
13 May 2025
Bayesian Detector Combination for Object Detection with Crowdsourced Annotations
Zhi Qin Tan
Olga Isupova
Gustavo Carneiro
Xiatian Zhu
Yunpeng Li
ObjD
203
1
0
10 Jul 2024
Inter-Rater Uncertainty Quantification in Medical Image Segmentation via Rater-Specific Bayesian Neural Networks
Qingqiao Hu
Hao Wang
Jing Luo
Yuan Luo
Z. Zhangg
Jan S. Kirschke
Benedikt Wiestler
Bjoern Menze
Jianguo Zhang
Hongwei Bran Li
UQCV
256
2
0
28 Jun 2023
Variability Matters : Evaluating inter-rater variability in histopathology for robust cell detection
Cholmin Kang
C. Lee
Heon Song
M. Ma
Sérgio Pereira
248
10
0
11 Oct 2022
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021
Carole H. Sudre
K. V. Wijnen
Florian Dubost
H. Adams
D. Atkinson
...
F. Wolters
P. Yilmaz
M. Groot
Meike W. Vernooij
Marleen de Bruijne
120
27
0
15 Aug 2022
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principle
IEEE Transactions on Medical Imaging (IEEE TMI), 2022
Junde Wu
Huihui Fang
Hoayi Xiong
Lixin Duan
Zhuliang Yu
Weihua Yang
Huiying Liu
Yanwu Xu
MedIm
188
2
0
05 Aug 2022
Opinions Vary? Diagnosis First!
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Junde Wu
Huihui Fang
Dalu Yang
Binghong Wu
Wenshuo Zhou
Fangxin Shang
Yehui Yang
Yanwu Xu
289
3
0
14 Feb 2022
Toward a Perspectivist Turn in Ground Truthing for Predictive Computing
AAAI Conference on Artificial Intelligence (AAAI), 2021
Valerio Basile
F. Cabitza
Andrea Campagner
Michael Fell
267
207
0
09 Sep 2021
A Decoupled Uncertainty Model for MRI Segmentation Quality Estimation
Richard Shaw
Carole H. Sudre
Sebastien Ourselin
M. Jorge Cardoso
H. Pemberton
UQCV
202
6
0
06 Sep 2021
Development and evaluation of intraoperative ultrasound segmentation with negative image frames and multiple observer labels
Liam F Chalcroft
Jiongqi Qu
Sophie Martin
Iani J. M. B. Gayo
G. Minore
...
Shaheer U. Saeed
Qianye Yang
Zachary Michael Cieman Baum
Andre Altmann
Yipeng Hu
112
4
0
28 Jul 2021
Segmentation with Multiple Acceptable Annotations: A Case Study of Myocardial Segmentation in Contrast Echocardiography
Information Processing in Medical Imaging (IPMI), 2021
Dewen Zeng
Mingqi Li
Yukun Ding
Xiaowei Xu
Qiu Xie
Ruixue Xu
Hongwen Fei
Meiping Huang
Zhuang Jian
Yiyu Shi
115
8
0
29 Jun 2021
Estimating MRI Image Quality via Image Reconstruction Uncertainty
Richard Shaw
Carole H. Sudre
Sebastien Ourselin
M. Jorge Cardoso
134
3
0
21 Jun 2021
Impact of individual rater style on deep learning uncertainty in medical imaging segmentation
Olivier Vincent
C. Gros
Julien Cohen-Adad
142
10
0
05 May 2021
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images
Neural Information Processing Systems (NeurIPS), 2020
Le Zhang
Ryutaro Tanno
Moucheng Xu
Chen Jin
Joseph Jacob
O. Ciccarelli
F. Barkhof
Daniel C. Alexander
NoLa
413
120
0
31 Jul 2020
Difficulty-aware Glaucoma Classification with Multi-Rater Consensus Modeling
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
Shuang Yu
Hong-Yu Zhou
Kai Ma
Cheng Bian
Chunyan Chu
Hanruo Liu
Yefeng Zheng
112
32
0
29 Jul 2020
A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality
International Conference on Medical Imaging with Deep Learning (MIDL), 2020
Richard Shaw
Carole H. Sudre
Sebastien Ourselin
M. Jorge Cardoso
UQCV
139
13
0
31 Jan 2020
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation
IEEE Transactions on Medical Imaging (TMI), 2019
Alireza Mehrtash
W. Wells
C. Tempany
Purang Abolmaesumi
Tina Kapur
OOD
FedML
UQCV
399
330
0
29 Nov 2019
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