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Current State of Artificial Intelligence in Clinical Applications for Head and Neck MR Imaging
Magn Reson Med Sci. 2023 Aug 1. doi: 10.2463/mrms.rev.2023-0047. Online ahead of print.ABSTRACTDue primarily to the excellent soft tissue contrast depictions provided by MRI, the widespread application of head and neck MRI in clinical practice serves to assess various diseases. Artificial intelligence (AI)-based methodologies, particularly deep learning analyses using convolutional neural networks, have recently gained global recognition and have been extensively investigated in clinical research for their applicability across a range of categories within medical imaging, including head and neck MRI. Analytical approaches ...
Source: Magnetic Resonance in Medical Sciences - August 2, 2023 Category: Radiology Authors: Noriyuki Fujima Koji Kamagata Daiju Ueda Shohei Fujita Yasutaka Fushimi Masahiro Yanagawa Rintaro Ito Takahiro Tsuboyama Mariko Kawamura Takeshi Nakaura Akira Yamada Taiki Nozaki Tomoyuki Fujioka Yusuke Matsui Kenji Hirata Fuminari Tatsugami Shinji Nagana Source Type: research

Microstructural Abnormalities in the Contralateral Normal-appearing White Matter of Glioblastoma Patients Evaluated with Advanced Diffusion Imaging
CONCLUSION: There are microstructural changes in the contralateral hemisphere in glioblastoma patients, and these changes differ between right-sided and left-sided glioblastoma patients.PMID:37532585 | DOI:10.2463/mrms.mp.2023-0054 (Source: Magnetic Resonance in Medical Sciences)
Source: Magnetic Resonance in Medical Sciences - August 2, 2023 Category: Radiology Authors: Bar ış Genç Kerim Aslan Ali Özçağlayan L ütfi İncesu Source Type: research

Current State of Artificial Intelligence in Clinical Applications for Head and Neck MR Imaging
Magn Reson Med Sci. 2023 Aug 1. doi: 10.2463/mrms.rev.2023-0047. Online ahead of print.ABSTRACTDue primarily to the excellent soft tissue contrast depictions provided by MRI, the widespread application of head and neck MRI in clinical practice serves to assess various diseases. Artificial intelligence (AI)-based methodologies, particularly deep learning analyses using convolutional neural networks, have recently gained global recognition and have been extensively investigated in clinical research for their applicability across a range of categories within medical imaging, including head and neck MRI. Analytical approaches ...
Source: Magnetic Resonance in Medical Sciences - August 2, 2023 Category: Radiology Authors: Noriyuki Fujima Koji Kamagata Daiju Ueda Shohei Fujita Yasutaka Fushimi Masahiro Yanagawa Rintaro Ito Takahiro Tsuboyama Mariko Kawamura Takeshi Nakaura Akira Yamada Taiki Nozaki Tomoyuki Fujioka Yusuke Matsui Kenji Hirata Fuminari Tatsugami Shinji Nagana Source Type: research

Microstructural Abnormalities in the Contralateral Normal-appearing White Matter of Glioblastoma Patients Evaluated with Advanced Diffusion Imaging
CONCLUSION: There are microstructural changes in the contralateral hemisphere in glioblastoma patients, and these changes differ between right-sided and left-sided glioblastoma patients.PMID:37532585 | DOI:10.2463/mrms.mp.2023-0054 (Source: Magnetic Resonance in Medical Sciences)
Source: Magnetic Resonance in Medical Sciences - August 2, 2023 Category: Radiology Authors: Bar ış Genç Kerim Aslan Ali Özçağlayan L ütfi İncesu Source Type: research

Current State of Artificial Intelligence in Clinical Applications for Head and Neck MR Imaging
Magn Reson Med Sci. 2023 Aug 1. doi: 10.2463/mrms.rev.2023-0047. Online ahead of print.ABSTRACTDue primarily to the excellent soft tissue contrast depictions provided by MRI, the widespread application of head and neck MRI in clinical practice serves to assess various diseases. Artificial intelligence (AI)-based methodologies, particularly deep learning analyses using convolutional neural networks, have recently gained global recognition and have been extensively investigated in clinical research for their applicability across a range of categories within medical imaging, including head and neck MRI. Analytical approaches ...
Source: Magnetic Resonance in Medical Sciences - August 2, 2023 Category: Radiology Authors: Noriyuki Fujima Koji Kamagata Daiju Ueda Shohei Fujita Yasutaka Fushimi Masahiro Yanagawa Rintaro Ito Takahiro Tsuboyama Mariko Kawamura Takeshi Nakaura Akira Yamada Taiki Nozaki Tomoyuki Fujioka Yusuke Matsui Kenji Hirata Fuminari Tatsugami Shinji Nagana Source Type: research

Microstructural Abnormalities in the Contralateral Normal-appearing White Matter of Glioblastoma Patients Evaluated with Advanced Diffusion Imaging
CONCLUSION: There are microstructural changes in the contralateral hemisphere in glioblastoma patients, and these changes differ between right-sided and left-sided glioblastoma patients.PMID:37532585 | DOI:10.2463/mrms.mp.2023-0054 (Source: Magnetic Resonance in Medical Sciences)
Source: Magnetic Resonance in Medical Sciences - August 2, 2023 Category: Radiology Authors: Bar ış Genç Kerim Aslan Ali Özçağlayan L ütfi İncesu Source Type: research

Current State of Artificial Intelligence in Clinical Applications for Head and Neck MR Imaging
Magn Reson Med Sci. 2023 Aug 1. doi: 10.2463/mrms.rev.2023-0047. Online ahead of print.ABSTRACTDue primarily to the excellent soft tissue contrast depictions provided by MRI, the widespread application of head and neck MRI in clinical practice serves to assess various diseases. Artificial intelligence (AI)-based methodologies, particularly deep learning analyses using convolutional neural networks, have recently gained global recognition and have been extensively investigated in clinical research for their applicability across a range of categories within medical imaging, including head and neck MRI. Analytical approaches ...
Source: Magnetic Resonance in Medical Sciences - August 2, 2023 Category: Radiology Authors: Noriyuki Fujima Koji Kamagata Daiju Ueda Shohei Fujita Yasutaka Fushimi Masahiro Yanagawa Rintaro Ito Takahiro Tsuboyama Mariko Kawamura Takeshi Nakaura Akira Yamada Taiki Nozaki Tomoyuki Fujioka Yusuke Matsui Kenji Hirata Fuminari Tatsugami Shinji Nagana Source Type: research

Microstructural Abnormalities in the Contralateral Normal-appearing White Matter of Glioblastoma Patients Evaluated with Advanced Diffusion Imaging
CONCLUSION: There are microstructural changes in the contralateral hemisphere in glioblastoma patients, and these changes differ between right-sided and left-sided glioblastoma patients.PMID:37532585 | DOI:10.2463/mrms.mp.2023-0054 (Source: Magnetic Resonance in Medical Sciences)
Source: Magnetic Resonance in Medical Sciences - August 2, 2023 Category: Radiology Authors: Bar ış Genç Kerim Aslan Ali Özçağlayan L ütfi İncesu Source Type: research

Current State of Artificial Intelligence in Clinical Applications for Head and Neck MR Imaging
Magn Reson Med Sci. 2023 Aug 1. doi: 10.2463/mrms.rev.2023-0047. Online ahead of print.ABSTRACTDue primarily to the excellent soft tissue contrast depictions provided by MRI, the widespread application of head and neck MRI in clinical practice serves to assess various diseases. Artificial intelligence (AI)-based methodologies, particularly deep learning analyses using convolutional neural networks, have recently gained global recognition and have been extensively investigated in clinical research for their applicability across a range of categories within medical imaging, including head and neck MRI. Analytical approaches ...
Source: Magnetic Resonance in Medical Sciences - August 2, 2023 Category: Radiology Authors: Noriyuki Fujima Koji Kamagata Daiju Ueda Shohei Fujita Yasutaka Fushimi Masahiro Yanagawa Rintaro Ito Takahiro Tsuboyama Mariko Kawamura Takeshi Nakaura Akira Yamada Taiki Nozaki Tomoyuki Fujioka Yusuke Matsui Kenji Hirata Fuminari Tatsugami Shinji Nagana Source Type: research

Microstructural Abnormalities in the Contralateral Normal-appearing White Matter of Glioblastoma Patients Evaluated with Advanced Diffusion Imaging
CONCLUSION: There are microstructural changes in the contralateral hemisphere in glioblastoma patients, and these changes differ between right-sided and left-sided glioblastoma patients.PMID:37532585 | DOI:10.2463/mrms.mp.2023-0054 (Source: Magnetic Resonance in Medical Sciences)
Source: Magnetic Resonance in Medical Sciences - August 2, 2023 Category: Radiology Authors: Bar ış Genç Kerim Aslan Ali Özçağlayan L ütfi İncesu Source Type: research

Current State of Artificial Intelligence in Clinical Applications for Head and Neck MR Imaging
Magn Reson Med Sci. 2023 Aug 1. doi: 10.2463/mrms.rev.2023-0047. Online ahead of print.ABSTRACTDue primarily to the excellent soft tissue contrast depictions provided by MRI, the widespread application of head and neck MRI in clinical practice serves to assess various diseases. Artificial intelligence (AI)-based methodologies, particularly deep learning analyses using convolutional neural networks, have recently gained global recognition and have been extensively investigated in clinical research for their applicability across a range of categories within medical imaging, including head and neck MRI. Analytical approaches ...
Source: Magnetic Resonance in Medical Sciences - August 2, 2023 Category: Radiology Authors: Noriyuki Fujima Koji Kamagata Daiju Ueda Shohei Fujita Yasutaka Fushimi Masahiro Yanagawa Rintaro Ito Takahiro Tsuboyama Mariko Kawamura Takeshi Nakaura Akira Yamada Taiki Nozaki Tomoyuki Fujioka Yusuke Matsui Kenji Hirata Fuminari Tatsugami Shinji Nagana Source Type: research

Microstructural Abnormalities in the Contralateral Normal-appearing White Matter of Glioblastoma Patients Evaluated with Advanced Diffusion Imaging
CONCLUSION: There are microstructural changes in the contralateral hemisphere in glioblastoma patients, and these changes differ between right-sided and left-sided glioblastoma patients.PMID:37532585 | DOI:10.2463/mrms.mp.2023-0054 (Source: Magnetic Resonance in Medical Sciences)
Source: Magnetic Resonance in Medical Sciences - August 2, 2023 Category: Radiology Authors: Bar ış Genç Kerim Aslan Ali Özçağlayan L ütfi İncesu Source Type: research

Current State of Artificial Intelligence in Clinical Applications for Head and Neck MR Imaging
Magn Reson Med Sci. 2023 Aug 1. doi: 10.2463/mrms.rev.2023-0047. Online ahead of print.ABSTRACTDue primarily to the excellent soft tissue contrast depictions provided by MRI, the widespread application of head and neck MRI in clinical practice serves to assess various diseases. Artificial intelligence (AI)-based methodologies, particularly deep learning analyses using convolutional neural networks, have recently gained global recognition and have been extensively investigated in clinical research for their applicability across a range of categories within medical imaging, including head and neck MRI. Analytical approaches ...
Source: Magnetic Resonance in Medical Sciences - August 2, 2023 Category: Radiology Authors: Noriyuki Fujima Koji Kamagata Daiju Ueda Shohei Fujita Yasutaka Fushimi Masahiro Yanagawa Rintaro Ito Takahiro Tsuboyama Mariko Kawamura Takeshi Nakaura Akira Yamada Taiki Nozaki Tomoyuki Fujioka Yusuke Matsui Kenji Hirata Fuminari Tatsugami Shinji Nagana Source Type: research

Microstructural Abnormalities in the Contralateral Normal-appearing White Matter of Glioblastoma Patients Evaluated with Advanced Diffusion Imaging
CONCLUSION: There are microstructural changes in the contralateral hemisphere in glioblastoma patients, and these changes differ between right-sided and left-sided glioblastoma patients.PMID:37532585 | DOI:10.2463/mrms.mp.2023-0054 (Source: Magnetic Resonance in Medical Sciences)
Source: Magnetic Resonance in Medical Sciences - August 2, 2023 Category: Radiology Authors: Bar ış Genç Kerim Aslan Ali Özçağlayan L ütfi İncesu Source Type: research

Current State of Artificial Intelligence in Clinical Applications for Head and Neck MR Imaging
Magn Reson Med Sci. 2023 Aug 1. doi: 10.2463/mrms.rev.2023-0047. Online ahead of print.ABSTRACTDue primarily to the excellent soft tissue contrast depictions provided by MRI, the widespread application of head and neck MRI in clinical practice serves to assess various diseases. Artificial intelligence (AI)-based methodologies, particularly deep learning analyses using convolutional neural networks, have recently gained global recognition and have been extensively investigated in clinical research for their applicability across a range of categories within medical imaging, including head and neck MRI. Analytical approaches ...
Source: Magnetic Resonance in Medical Sciences - August 2, 2023 Category: Radiology Authors: Noriyuki Fujima Koji Kamagata Daiju Ueda Shohei Fujita Yasutaka Fushimi Masahiro Yanagawa Rintaro Ito Takahiro Tsuboyama Mariko Kawamura Takeshi Nakaura Akira Yamada Taiki Nozaki Tomoyuki Fujioka Yusuke Matsui Kenji Hirata Fuminari Tatsugami Shinji Nagana Source Type: research