fastMRI+, Clinical pathology annotations for knee and brain fully sampled magnetic resonance imaging data.
fastMRI+, Clinical pathology annotations for knee and brain fully sampled magnetic resonance imaging data.
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DOI：
10.1038/s41597-022-01255-z
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发表时间：
2022-04-05
期刊：
影响因子：
9.8
通讯作者：
Lungren MP
中科院分区：
文献类型：
--
作者：
Zhao R;Yaman B;Zhang Y;Stewart R;Dixon A;Knoll F;Huang Z;Lui YW;Hansen MS;Lungren MP
Improving speed and image quality of Magnetic Resonance Imaging (MRI) using deep learning reconstruction is an active area of research. The fastMRI dataset contains large volumes of raw MRI data, which has enabled significant advances in this field. While the impact of the fastMRI dataset is unquestioned, the dataset currently lacks clinical expert pathology annotations, critical to addressing clinically relevant reconstruction frameworks and exploring important questions regarding rendering of specific pathology using such novel approaches. This work introduces fastMRI+, which consists of 16154 subspecialist expert bounding box annotations and 13 study-level labels for 22 different pathology categories on the fastMRI knee dataset, and 7570 subspecialist expert bounding box annotations and 643 study-level labels for 30 different pathology categories for the fastMRI brain dataset. The fastMRI+ dataset is open access and aims to support further research and advancement of medical imaging in MRI reconstruction and beyond.
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影响因子：
3.3
作者：
Hammernik K;Klatzer T;Kobler E;Recht MP;Sodickson DK;Pock T;Knoll F
通讯作者：
Knoll F
DOI：
10.2214/ajr.20.23313
发表时间：
2020-12
期刊：
AJR. American journal of roentgenology
影响因子：
--
作者：
Recht MP;Zbontar J;Sodickson DK;Knoll F;Yakubova N;Sriram A;Murrell T;Defazio A;Rabbat M;Rybak L;Kline M;Ciavarra G;Alaia EF;Samim M;Walter WR;Lin DJ;Lui YW;Muckley M;Huang Z;Johnson P;Stern R;Zitnick CL
通讯作者：
Zitnick CL
DOI：
10.1073/pnas.1907377117
发表时间：
2020-12-01
影响因子：
11.1
作者：
Antun, Vegard;Renna, Francesco;Hansen, Anders C.
通讯作者：
Hansen, Anders C.
影响因子：
7
作者：
Peterfy CG;Schneider E;Nevitt M
通讯作者：
Nevitt M
影响因子：
4.6
作者：
Koonjoo N;Zhu B;Bagnall GC;Bhutto D;Rosen MS
通讯作者：
Rosen MS