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Design of split gradient coils applied to MRgPTS
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Design of a Deep Learning Approach for Maintaining MRI Reconstruction Quality and Uncertainty Quantification
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Guidance Design Method for Unconditional Diffusion Models toward Foundation Models in Deep Learning MR Image Reconstruction
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MR fingerprinting‚ÌŠî‘b
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Image quality evaluation for MR images processed by AI
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583. Naoto Momiyama, Tomoyuki Haishi, Yasuhiko Terada
Development of single-port, inductively coupled 1H/23Na dual-tuned RF coils for small animals for 9.4 T vertical-bore superconducting MRI
�¬“®•¨‚ð‘Î�Û‚Æ‚µ‚½9.4T�cŒ^ƒ�ƒCƒhƒ{ƒAMRI—pƒVƒ“ƒOƒ‹ƒ|�[ƒg1H/23Na Dual-Tuned RFƒRƒCƒ‹‚ÌŠJ”
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582. Kazuki Kunieda, Kazuyuki Makihara, Shigehito Yamada, Yasuhiko Terada
Brain finer structures of a human embryo depicted by MR microscopy with different contrasts
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581. Naoto Fujita, Suguru Yokosawa, Toru Shirai, Yasuhiko Terada
Model-based deep learning reconstruction for accelerating T2 mapping
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580. Tsuyoshi Ueyama, Erika Takahashi, Naoto Fujita, Yuichi Suzuki, Hideyuki Iwanaga, Osamu Abe, Yasuhiko Terada
Distortion correction of diffusion weighted images by deep learning applying transformer
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579. Yuta Sugimoto, Naoto Fujita, Daiki Tamada, Satoshi Funayama, Shintaro Ichikawa, Satoshi Goshima, Yasuhiko Terada
Weakly supervised deep learning segmentation of the stomach and duodenum for the creation of 3D MRCP MIP images
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578. Hiroya Nakamura, Masayuki Yamaguchi, Yasuhiko Terada
Quantitative susceptibility mapping of Super Paramagnetic Iron Oxide (SPIO) at low and high fields
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577. Ziyu Fu, Naoto Fujita, Yasuhiko Terada
Comparing the robustness of a physics-guided MRI reconstruction neural network under self-supervised and fully-supervised learning paradigms
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568. Ž›“c�@�N•F
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567.�@�ZNaoto Momiyama, Yoshikazu Okamoto, Yukiyo Shimizu, Yasuhiko Terada
Application of Mobile MRI to Upper Extremity Examination for Wheelchair Users
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566. �ZNaoto Momiyama, Tomoyuki Haishi, Yasuhiko Terada
Development of 1H-23Na Dual-Tuned gradient Probe for 9.4T Vertical WideBore Superconducting MRI for Rat's body
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565. �ZNaoto Fujita, Suguru Yokosawa, Toru Shirai, Yasuhiko Terada
Performance and generalizability of public deep learning models for multicoil image reconstruction.
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564. �ZErika Takahashi, Naoto Fujita, Keisuke Yoshida, Yasuhiko Terada
Distortion Correction Methods for Diffusion-Weighted Images Using Deep Learning
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563. �ZMari Minami, Yasuhiko Terada
Development of planer gradients with cylindrical shielded gradients for vertical wide-bore superconducting magnets
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562. �ZKazuki Kunieda, Kazuyuki Makihara, Shigehito Yamada, Yasuhiko Terada
High resolution MR microscopy of human embryo at 9.4 T
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561. Yasuhiko Terada
Advances in Magnetic Resonance Imaging: From Low-Field to High-Field and Back to Low-Field MRI
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554.�@Erika Takahashi, Tomoki Miyasaka, Satoshi Funayama, Daiki Tamada, Utaroh Motosugi, Hiroyuki Morisaka, Hiroshi Onishi, Yasuhiko Terada
Improved performance of deep-learning-based super-resolution of clinical brain images improved by decreasing reduction factor
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553.�@Tomoki Miyasaka, Erika Takahashi, Sayaka Tojima, Shigehito Yamada, Yasuhiko Terada
MR microimaging of marsupial embryo and neonate specimens using a 4.7T vertical superconducting magnet
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552.�@Tsuyoshi Ueyama, Keisuke Yoshida, Yuichi Suzuki, Hideyuki Iwanaga, Osamu Abe, Yasuhiko Terada
Distortion correction of diffusion-weighted image by FSL learning model using 3D U-net
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551.�@Keisuke Yoshida, Yasuhiko Terada
Image restoration for spiral imaging using dAUTOMAP and GIRF
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550.�@Katsumi Kose, Ryoichi Kose, Yasuhiko Terada
Bloch simulation of the 3-point Dixon method on biological systems
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549.�@Kazuyuki Makihara, Kazuya Sakaguchi, Masayuki Yamaguchi, Ken Ito, Yusaku Hori, Taro Semba, Yasuhiro Funahashi, Hirofumi Fujii, Yasuhiko Terada
Evaluation of drug activity of a novel anticancer drug E7130 in different human breast cancer models by DCE-MRI clustering analysis
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548.�@Kazuki Kunieda, Yuto Murakami, Yasuhiko Terada
Development of double helix dipole (DHD) coils for 7T MR microscopy
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547.�@Tomoki Miyasaka, Satoshi Funayama, Daiki Tamada, Utaroh Motosugi, Hiroyuki Morisaka, Hiroshi Onishi, Yasuhiko Terada
Multi-coil CS reconstruction using deep learning under parallel imaging constraints
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546.�@Mari Minami, Shigehito Yamada, Yasuhiko Terada
Initial study of DTI of a chemically fixed human fetus
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545.�@–qŒ´˜a�K�CŽ›“c�N•F
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544.�@š Ž}˜a‹P�C‘º�ã—Y“l�CŽ›“c�N•F
MR ƒ}ƒCƒNƒ�ƒXƒRƒs�[—p double helix dipole Œ^ RF ƒRƒCƒ‹‚ÌŠJ”
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543.�@‹g“cŒ\—C�C�ãŽR‹B, Ž›“c�N•F
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542.�@‹{�â’mŽ÷�C�MŽRŒd�C‹Ê“c‘å‹P�C–{�™‰F‘¾˜Y�C�X�ã—T”V�C‘å�¼—m�CŽ›“c�N•F
Deep learning ‚ð—p‚¢‚½ƒ}ƒ‹ƒ`ƒRƒCƒ‹ compressed sensing �Ä�\�¬
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541.�@‹��£�Ÿ”ü�C ‹��£—ºˆê�C Ž›“c�N•F
QRAPMASTER –@‚ÌŽÀ‘•‚Æ Ž¥‰»ˆÚ“® Œø‰Ê‚̉e‹¿•]‰¿
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540. ‹{�â’mŽ÷, ûü�ì’¼–ç, �Έ䊰�’, �Î�ì‰ë–ç, Ž›“c�N•F
‰·“x‰Â•Ï MRI ‚É‚æ‚é�A•¨‚¨‚æ‚Ñ�H•iƒTƒ“ƒvƒ‹‚̒ቷŽB‘œ
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539. ‹{�â’mŽ÷�Cûü�ì’¼–ç�C�Î�ì‰ë–ç�CŽ›“c�N•F
‰Ô‰è“€Œ‹ŠÏŽ@—p‰·“x‰Â•ÏMRƒ}ƒCƒNƒ�ƒCƒ��[ƒWƒ“ƒOƒVƒXƒeƒ€‚ÌŠJ”
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538. Ž›“c�N•F
�[‘wŠw�K‚ð—p‚¢‚½“ª•”MRIŒŸ�¸‚Ì�‚‘¬‰»‚ÌŽŽ‚Ý
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537. Yasuhiko Terada�CTomoki Miyasaka�CDaiki Tamada�CSatoshi Funayama�CUtaroh Motosugi�CHiroyuki Morisaka�CHiroshi Onishi
Instability of deep learning in superresolution of clinical brain images
—Õ�°”]‰æ‘œ‚Ì’´‰ð‘œ‚É‚¨‚¯‚édeep learning‚Ì•sˆÀ’è�«
—ߘa2”N9ŒŽ11“ú�`10ŒŽ4“ú�C‘æ48‰ñ“ú–{Ž¥‹C‹¤–ˆãŠw‰ï‘å‰ï�iWebŠJ�Ã�j�C�iO-047)P120
536. Tomoki Miyasaka�CSatoshi Funayama�CDaiki Tamada�CUtaroh Motosugi�CHiroyuki Morisaka�CHiroshi Onishi�CYasuhiko Terada
Multi contrast CS reconstruction using deep learning
Deep learning‚ð—p‚¢‚½ƒ}ƒ‹ƒ`ƒRƒ“ƒgƒ‰ƒXƒgCS �Ä�\�¬
—ߘa2”N9ŒŽ11“ú�`10ŒŽ4“ú�C‘æ48‰ñ“ú–{Ž¥‹C‹¤–ˆãŠw‰ï‘å‰ï�iWebŠJ�Ã�j�C�iO-033)P115
535. Michiru Kajiwara�CYasuhiko Terada�CRyohei Kaseda�CYusuke Nakagawa�CIchiei Narita�CSusumu Sasaki�CTomoyuki Haishi
Sodium imaging with a 1.5T-MRI by using a new cross-band repeater technique
ƒNƒ�ƒXƒoƒ“ƒhƒŒƒs�[ƒ^‚É‚æ‚Á‚Ä—Õ�°—p1.5T Ž¥�΂Å23Na-MRI‚ðŽÀŒ»‚·‚é
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534. Tomoki Miyasaka�CMichiru Kajiwara�CAkito Kawasaki�CYoshikazu Okamoto�CYasuhiko Terada
Development and screening examination of a car-mounted portable MRI for wrist
ŽèŽñ—pŽÔ�Úƒ|�[ƒ^ƒuƒ‹ MRI‚ÌŠJ”‚ƃXƒNƒŠ�[ƒjƒ“ƒOŽŽŒ±
—ߘa2”N9ŒŽ11“ú�`10ŒŽ4“ú�C‘æ48‰ñ“ú–{Ž¥‹C‹¤–ˆãŠw‰ï‘å‰ï�iWebŠJ�Ã�j�C�iO-025)P113
533. Kazuyuki Makihara�CKazuya Sakaguchi�CMasayuki Yamaguchi�CKen Ito�CYusaku Hori�CTaro Semba�CYasuhiko Funabashi�C
Hirofumi Fujii�CYasuhiko Terada
Assessment of tumor blood perfusion fraction using k-means clustering of tumor Ktrans
values with E7130 in a breast cancer model
k- •½‹Ï–@‚É‚æ‚éDCE-MRI ‚Ì Ktrans ’lŽ©“®•ª—Þ‚ð—p‚¢‚½ƒqƒg“ûŠàƒ‚ƒfƒ‹‚ɑ΂·‚é�V‹K�R‚ª‚ñ�Ü E7130‚Ì–òŒø•]‰¿
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532. Tomoki Miyasaka�CAi Nakao�CDaiki Tamada�CShintaro Ichikawa�CSatoshi Funayama�CUtaroh Motosugi�CHiroyuki Morisaka�C
Hiroshi Onishi�CYasuhiko Terada
Initial clinical evaluation of deep-learning-based image synthesis and superresolution
using a clinical dataset of patients with brain lesions
”]•a•ÏŠ³ŽÒ‚Ì—Õ�°ƒf�[ƒ^ƒZƒbƒg‚É‚¨‚¯‚éƒfƒB�[ƒvƒ‰�[ƒjƒ“ƒO‚ð—p‚¢‚½‰æ‘œ�‡�¬‚Æ’´‰ð‘œ‚É‚æ‚é�‰Šú—Õ�°•]‰¿
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531. Keisuke Yoshida�CAi Nakao�CYasuhiko Terada
Examination of an image restoration method for spiral scan using deep learning and GIRF
�[‘wŠw�K‚ÆGIRF ‚ð—p‚¢‚½ spiral ‰æ‘œ‚̃A�[ƒ`ƒtƒ@ƒNƒg•â�³–@‚ÌŒŸ“¢
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530. Yuto Murakami�CMasayuki Yamaguchi�CYasuhiko Terada
Large matrix imaging of the rat head using a 9.4T animal MRI
9.4T “®•¨—pMRI‚ð—p‚¢‚½ƒ‰ƒbƒg“ª•”‚ÌLarge Matrix ƒCƒ��[ƒWƒ“ƒO
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529. Ž›“c�@�N•F, �r–Ø�@—Í‘¾�C�Z‹g�@�W�C�–Ø�@ˆÉ’m’j
BlochƒVƒ~ƒ…�\ƒŒ�[ƒVƒ‡ƒ“‚ÉŠî‚Â�³Šm�«‚ÌŒü�ã‚ð–ÚŽw‚µ‚½QRAPMASTER‰ð�Í–@‚ÌŽÀ‘•
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528. –qŒ´�@˜a�K, �âŒû�@˜a–ç, ŽRŒû�@‰ë”V, ˆÉ“¡�@Œ›, –x�@—D�ì, �å”g�@‘¾˜Y, ‘D‹´�@‘×”Ž,
“¡ˆä ”ŽŽj, Ž›“c �N•F
DCE-MRIƒNƒ‰ƒXƒ^�[‰ð�Í‚ð—p‚¢‚½ƒqƒg“ûŠàƒ‚ƒfƒ‹‚Ì–òŒø•]‰¿–@‚ÌŠJ”
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527. Š�Œ´�@�¬�¶�CŽ›“c �N•F�Cœ«“c —º•½�C’†�ì —S‰î�C�¬“c ˆê‰q�C�²�X–Ø �i�C”qŽt ’q”V
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526. ‹{�â�@’mŽ÷�CŠ�Œ´�@�¬�¶�C�ì�è�@—º�l�C‰ª–{�@‰Ãˆê�CŽ›“c�@�N•F
ƒ|�[ƒ^ƒuƒ‹MRI‚ð—p‚¢‚½ŽèŽñ�f’f
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525. ‘º�ã —Y“l�CŽRŒû ‰ë”V�CŽ›“c �N•F
9.4T“®•¨—pMRI‚ð—p‚¢‚½ƒ‰ƒbƒg“ª•”‚ÌLarge MatrixƒCƒ��[ƒWƒ“ƒO
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524. ‹g“c�@Œ\—C�CŽ›“c�@�N•F
dAUTOMAP‚ð—p‚¢‚½SpiralŽB‘œ‚É‚¨‚¯‚鉿‘œ�Ä�\�¬–@‚ÌŒŸ“¢
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523. Ž›“c�@�N•F
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522. Yasuhiko Terada, Ai Nakao, Daiki Tamada, Tomohiro Takamura, Utaroh Motosugi
Acceleration of clinical brain examination using deep learning (2): Clinical implementation and evaluation ƒfƒB�[ƒvƒ‰�[ƒjƒ“ƒO‚ð—p‚¢‚½—Õ�°”]‰æ‘œŒŸ�¸‚Ì�‚‘¬‰»�i‚Q�j�F—Õ�°ŒŸ�¸‚Ö‚ÌŽÀ‘•‚Æ—Õ�°•]‰¿
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521. Ai Nakao, Daiki Tamada, Tomohiro Takamura, Utaroh Motosugi, Yasuhiko Terada
Acceleration of clinical brain examination using deep learning (1): Neural network construction ƒfƒB�[ƒvƒ‰�[ƒjƒ“ƒO‚ð—p‚¢‚½—Õ�°”]‰æ‘œŒŸ�¸‚Ì�‚‘¬‰»�i‚P�j�Fƒjƒ…�[ƒ‰ƒ‹ƒlƒbƒgƒ��[ƒN‚Ì�\’z
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520. Michiru Kajiwara, Mayu Nakagomi, Yoshikazu Okamoto, Yasuhiko Terada
Field examination of baseball elbow using a car-mounted portable MRI –ì‹…•I�f’f—pŽÔ�Úƒ|�[ƒ^ƒuƒ‹MRI‚ÌŽÀ’nŽŽŒ±
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519. Ryoichi Sasaki, Yasuhiko Terada
MRF-FISP without additional scans using deep neural network �[‘wƒjƒ…�[ƒ‰ƒ‹ƒlƒbƒgƒ��[ƒN‚ðŽg‚Á‚½’ljÁƒXƒLƒƒƒ“‚ð•K—v‚Æ‚µ‚È‚¢MRF-FISP
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518. Yuto Murakami, Ryoichi Sasaki, Yasuhiko Terada
Acceleration of acquisition of relaxation time map for human embryo specimens ƒqƒgãóŽq•W–{‚̊ɘaŽžŠÔƒ}ƒbƒvŽæ“¾‚Ì�‚‘¬‰»
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517. Kazuya Sakaguchi, Yasuhiko Terada
Performance Optimization of Arbitrary-Shape Actively Shielded Gradient Coils using Singular Value Decomposition and Arti?cial Bee Colony Algorithm ”\“®ŽÕ•ÁŒ^Œù”zƒRƒCƒ‹‚Ì”CˆÓ�«”\�Å“K‰»Žè–@‚ÌŠJ”
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516. Naoya Takagawa, Yasuhiko Terada
Development of temperature-variable MR microimaging system (2) ‰·“x‰Â•ÏMRƒ}ƒCƒNƒ�ƒCƒ��[ƒWƒ“ƒOƒVƒXƒeƒ€‚ÌŠJ”�i2�j
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515. Kazuya Sakaguchi, Yasuhiko Terada, Masayuki Yamaguchi, Ken Ito, Yusaku Hori, Taro Semba, Yasuhiro Funahashi, Hirofumi Fujii
Automatic classification of experimental tumor ADC values using k-means clustering:Verification of E7130 drug efficacy for human breast cancer model k-•½‹Ï–@‚É‚æ‚éŽÀŒ±ŽîᇂÌADC’lŽ©“®•ª—Þ�Fƒqƒg“ûŠàƒ‚ƒfƒ‹‚ɑ΂·‚é�V‹K�R‚ª‚ñ�ÜE7130–òŒø•]‰¿‚Ö‚Ì—˜ —p
—ߘa1”N9ŒŽ22“ú�C‘æ47‰ñ“ú–{Ž¥‹C‹¤–ˆãŠw‰ï‘å‰ï�CŒF–{�iP3-A-01�jP323
514. Katsumi Kose, Ryoichi Kose, Yasuhiko Terada, Daiki Tamada, Utaroh Motosugi
Simulation of living tissue using an MRI simulator MRI simulator‚É‚æ‚é�¶‘Ì‘g�D‚̃Vƒ~ƒ…ƒŒ�[ƒVƒ‡ƒ“
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513. ‹��£ �Ÿ”ü�C‹��£ —ºˆê�C Ž›“c �N•F, ‹Ê“c ‘å‹P, –{�™ ‰F‘¾˜Y
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