Suppr超能文献

相似文献

1
Simulation and Synthesis in Medical Imaging.
IEEE Trans Med Imaging. 2018 Mar;37(3):673-679. doi: 10.1109/TMI.2018.2800298.
2
Image Reconstruction is a New Frontier of Machine Learning.
IEEE Trans Med Imaging. 2018 Jun;37(6):1289-1296. doi: 10.1109/TMI.2018.2833635.
3
Overview of deep learning in medical imaging.
Radiol Phys Technol. 2017 Sep;10(3):257-273. doi: 10.1007/s12194-017-0406-5. Epub 2017 Jul 8.
4
Machine Learning Applications in Medical Image Analysis.
Comput Math Methods Med. 2017;2017:2361061. doi: 10.1155/2017/2361061. Epub 2017 Apr 13.
5
Sensor, Signal, and Imaging Informatics in 2017.
Yearb Med Inform. 2018 Aug;27(1):110-113. doi: 10.1055/s-0038-1667084. Epub 2018 Aug 29.
6
Mesh processing in medical-image analysis--a tutorial.
IEEE Comput Graph Appl. 2012 Sep-Oct;32(5):22-8. doi: 10.1109/MCG.2012.91.
7
A survey on deep learning in medical image analysis.
Med Image Anal. 2017 Dec;42:60-88. doi: 10.1016/j.media.2017.07.005. Epub 2017 Jul 26.
8
[Machine Learning for Computer-aided Diagnosis].
Igaku Butsuri. 2016;36(1):29-34. doi: 10.11323/jjmp.36.1_29.

引用本文的文献

1
Generating and evaluating synthetic data in digital pathology through diffusion models.
Sci Rep. 2024 Nov 18;14(1):28435. doi: 10.1038/s41598-024-79602-w.
3
Microwave Digital Twin Prototype for Shoulder Injury Detection.
Sensors (Basel). 2024 Oct 16;24(20):6663. doi: 10.3390/s24206663.
6
Machine learning-based amide proton transfer imaging using partially synthetic training data.
Magn Reson Med. 2024 May;91(5):1908-1922. doi: 10.1002/mrm.29970. Epub 2023 Dec 14.
8
An overview of synthetic administrative data for research.
Int J Popul Data Sci. 2022 May 23;7(1):1727. doi: 10.23889/ijpds.v7i1.1727. eCollection 2022.
9
Assessing the transportability of clinical prediction models for cognitive impairment using causal models.
BMC Med Res Methodol. 2023 Aug 19;23(1):187. doi: 10.1186/s12874-023-02003-6.

本文引用的文献

1
Artificial intelligence and deep learning - Radiology's next frontier?
Clin Imaging. 2018 May-Jun;49:87-88. doi: 10.1016/j.clinimag.2017.11.007. Epub 2017 Nov 16.
2
When Machines Think: Radiology's Next Frontier.
Radiology. 2017 Dec;285(3):713-718. doi: 10.1148/radiol.2017171183.
3
Image processing and Quality Control for the first 10,000 brain imaging datasets from UK Biobank.
Neuroimage. 2018 Feb 1;166:400-424. doi: 10.1016/j.neuroimage.2017.10.034. Epub 2017 Oct 24.
4
A survey on deep learning in medical image analysis.
Med Image Anal. 2017 Dec;42:60-88. doi: 10.1016/j.media.2017.07.005. Epub 2017 Jul 26.
5
Overview of deep learning in medical imaging.
Radiol Phys Technol. 2017 Sep;10(3):257-273. doi: 10.1007/s12194-017-0406-5. Epub 2017 Jul 8.
6
Implementing Machine Learning in Radiology Practice and Research.
AJR Am J Roentgenol. 2017 Apr;208(4):754-760. doi: 10.2214/AJR.16.17224. Epub 2017 Jan 26.
7
Deep Learning for Health Informatics.
IEEE J Biomed Health Inform. 2017 Jan;21(1):4-21. doi: 10.1109/JBHI.2016.2636665. Epub 2016 Dec 29.
8
A framework to establish credibility of computational models in biology.
Prog Biophys Mol Biol. 2017 Oct;129:13-19. doi: 10.1016/j.pbiomolbio.2016.08.007. Epub 2016 Oct 1.
9
The Virtual Physiological Human: Ten Years After.
Annu Rev Biomed Eng. 2016 Jul 11;18:103-23. doi: 10.1146/annurev-bioeng-110915-114742.
10
Precision Imaging: more descriptive, predictive and integrative imaging.
Med Image Anal. 2016 Oct;33:27-32. doi: 10.1016/j.media.2016.06.024. Epub 2016 Jun 23.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验