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BJR artificial intelligence

Showing results (41-50 of 49) with videos related to

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BJR Artificial Intelligence|May 1, 2026
An in-silico simulation study to generate computed tomography images from ultrasound data by using deep learning techniquesAnatol A Aicher, Davide Cester, Alexander Martin, et al.
BJR Artificial Intelligence|May 1, 2026
Diagnostic accuracy of artificial intelligence-assisted radiology assessment of cancer: a systematic reviewDylan Zhao, Thomas Packer, Xiaobo Jie, et al.
BJR Artificial Intelligence|May 1, 2026
Clinical applications of generative artificial intelligence in radiology: image translation, synthesis, and text generationZhiqi Zhong, Xueqian Xie
BJR Artificial Intelligence|May 1, 2026
Addressing data scarcity in CT imaging: novel approaches for the detection of radiation-induced pneumonitisSotiris Raptis, Christos Ilioudis, Kiki Theodorou
BJR Artificial Intelligence|May 1, 2026
Artificial intelligence in radiation therapy: from imaging to delivery-a comprehensive reviewKristen Duke, Nikos Papanikolaou
BJR Artificial Intelligence|May 1, 2026
Artificial intelligence assisted detection of large vessel occlusion on CT angiography in acute stroke patients: a multi-reader multi-case studyKiruba Nagaratnam, Phil Mathieson, Anna Podlasek, et al.
BJR Artificial Intelligence|May 1, 2026
Independent validation of the Mosamatic deep learning automated skeletal muscle and adipose tissue segmentation tool in an external Chinese cancer patient cohortChenfei Zhou, Xuekun Zhang, David P J van Dijk, et al.
BJR Artificial Intelligence|May 1, 2026
Synthetic data in radiological imaging: current state and future outlookElena Sizikova, Andreu Badal, Jana G Delfino, et al.
BJR Artificial Intelligence|June 2, 2026
Advancements in artificial intelligence applications for liver ultrasound imagingYu-Ting Shen, Hui-Xiong Xu, Bo-Yang Zhou
Pageof 5

Showing results (41-50 of 49) with videos related to

Sort By:
Pageof 5
You have reached the last page of results.This site can display upto 49 results.
BJR Artificial Intelligence|May 1, 2026
An in-silico simulation study to generate computed tomography images from ultrasound data by using deep learning techniquesAnatol A Aicher, Davide Cester, Alexander Martin, et al.
BJR Artificial Intelligence|May 1, 2026
Diagnostic accuracy of artificial intelligence-assisted radiology assessment of cancer: a systematic reviewDylan Zhao, Thomas Packer, Xiaobo Jie, et al.
BJR Artificial Intelligence|May 1, 2026
Clinical applications of generative artificial intelligence in radiology: image translation, synthesis, and text generationZhiqi Zhong, Xueqian Xie
BJR Artificial Intelligence|May 1, 2026
Addressing data scarcity in CT imaging: novel approaches for the detection of radiation-induced pneumonitisSotiris Raptis, Christos Ilioudis, Kiki Theodorou
BJR Artificial Intelligence|May 1, 2026
Artificial intelligence in radiation therapy: from imaging to delivery-a comprehensive reviewKristen Duke, Nikos Papanikolaou
BJR Artificial Intelligence|May 1, 2026
Artificial intelligence assisted detection of large vessel occlusion on CT angiography in acute stroke patients: a multi-reader multi-case studyKiruba Nagaratnam, Phil Mathieson, Anna Podlasek, et al.
BJR Artificial Intelligence|May 1, 2026
Independent validation of the Mosamatic deep learning automated skeletal muscle and adipose tissue segmentation tool in an external Chinese cancer patient cohortChenfei Zhou, Xuekun Zhang, David P J van Dijk, et al.
BJR Artificial Intelligence|May 1, 2026
Synthetic data in radiological imaging: current state and future outlookElena Sizikova, Andreu Badal, Jana G Delfino, et al.
BJR Artificial Intelligence|June 2, 2026
Advancements in artificial intelligence applications for liver ultrasound imagingYu-Ting Shen, Hui-Xiong Xu, Bo-Yang Zhou
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