Magnetic Resonance in Medical Sciences : MRMS This is an RSS file. You can use it to subscribe to this data in your favourite RSS reader or to display this data on your own website or blog.

Deep Learning Reconstruction to Improve the Quality of MR Imaging: Evaluating the Best Sequence for T-category Assessment in Non-small Cell Lung Cancer Patients
CONCLUSION: DLR is thus considered useful for image quality improvement on MR imaging. STIR imaging and CE-Quick 3D imaging with or without CS were validated as appropriate MR sequences for T-factor evaluation in NSCLC patients.PMID:37661425 | DOI:10.2463/mrms.mp.2023-0068 (Source: Magnetic Resonance in Medical Sciences : MRMS)
Source: Magnetic Resonance in Medical Sciences : MRMS - September 4, 2023 Category: Radiology Authors: Daisuke Takenaka Yoshiyuki Ozawa Kaori Yamamoto Maiko Shinohara Masato Ikedo Masao Yui Yuka Oshima Nayu Hamabuchi Hiroyuki Nagata Takahiro Ueda Hirotaka Ikeda Akiyoshi Iwase Takeshi Yoshikawa Hiroshi Toyama Yoshiharu Ohno 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 : MRMS - 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 : MRMS)
Source: Magnetic Resonance in Medical Sciences : MRMS - 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 : MRMS - 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 : MRMS)
Source: Magnetic Resonance in Medical Sciences : MRMS - 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 : MRMS - 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 : MRMS)
Source: Magnetic Resonance in Medical Sciences : MRMS - 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 : MRMS - 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 : MRMS)
Source: Magnetic Resonance in Medical Sciences : MRMS - 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 : MRMS - 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 : MRMS)
Source: Magnetic Resonance in Medical Sciences : MRMS - 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 : MRMS - 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 : MRMS)
Source: Magnetic Resonance in Medical Sciences : MRMS - 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 : MRMS - 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 : MRMS)
Source: Magnetic Resonance in Medical Sciences : MRMS - August 2, 2023 Category: Radiology Authors: Bar ış Genç Kerim Aslan Ali Özçağlayan L ütfi İncesu Source Type: research