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MURA: Large Dataset for Abnormality Detection in Musculoskeletal
  Radiographs

MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs

11 December 2017
Pranav Rajpurkar
Jeremy Irvin
Aarti Bagul
D. Ding
Tony Duan
Hershel Mehta
Brandon Yang
Kaylie Zhu
Dillon Laird
Robyn L. Ball
C. Langlotz
K. Shpanskaya
M. Lungren
A. Ng
ArXivPDFHTML

Papers citing "MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs"

11 / 11 papers shown
Title
False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims
False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims
Evangelia Christodoulou
Annika Reinke
Pascaline Andrè
Patrick Godau
P. Kalinowski
...
Amber L. Simpson
A. Kopp-Schneider
Gaël Varoquaux
O. Colliot
Lena Maier-Hein
48
0
0
07 May 2025
Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8
  Algorithm
Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8 Algorithm
Rui Ju
Weiming Cai
40
121
0
11 Apr 2023
Deployment of Image Analysis Algorithms under Prevalence Shifts
Deployment of Image Analysis Algorithms under Prevalence Shifts
Patrick Godau
P. Kalinowski
E. Christodoulou
Annika Reinke
M. Tizabi
Luciana Ferrer
Paul Jäger
Lena Maier-Hein
47
9
0
22 Mar 2023
Adaptive Consistency Regularization for Semi-Supervised Transfer
  Learning
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
Abulikemu Abuduweili
Xingjian Li
Humphrey Shi
Chengzhong Xu
Dejing Dou
43
77
0
03 Mar 2021
Exploring large scale public medical image datasets
Exploring large scale public medical image datasets
Luke Oakden-Rayner
26
172
0
30 Jul 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and
  Future Directions
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
F. Altaf
Syed Mohammed Shamsul Islam
Naveed Akhtar
N. Janjua
OOD
34
200
0
15 Feb 2019
When Semi-Supervised Learning Meets Transfer Learning: Training
  Strategies, Models and Datasets
When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets
Hong-Yu Zhou
Avital Oliver
Jianxin Wu
Yefeng Zheng
24
22
0
13 Dec 2018
Deep Learning Predicts Hip Fracture using Confounding Patient and
  Healthcare Variables
Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables
Giovanni Sutanto
J. Zech
Luke Oakden-Rayner
Yevgen Chebotar
Manway Liu
William Gale
M. McConnell
Ankur Handa
Thomas M. Snyder
Dieter Fox
AI4CE
OOD
39
243
0
08 Nov 2018
Aleatoric uncertainty estimation with test-time augmentation for medical
  image segmentation with convolutional neural networks
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
67
585
0
19 Jul 2018
Deep Learning in the Wild
Deep Learning in the Wild
Thilo Stadelmann
Mohammadreza Amirian
Ismail Arabaci
M. Arnold
G. Duivesteijn
...
Melanie Geiger
Stefan Lörwald
B. Meier
Katharina Rombach
Lukas Tuggener
24
42
0
13 Jul 2018
Abnormality Detection in Mammography using Deep Convolutional Neural
  Networks
Abnormality Detection in Mammography using Deep Convolutional Neural Networks
Pengcheng Xi
Chang Shu
R. Goubran
MedIm
35
97
0
05 Mar 2018
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