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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 323  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE
(Joint)
2024-03-12
10:25
Tokyo The Univ. of Tokyo
(Primary: On-site, Secondary: Online)
Investigation of high resolutional animal MRI using micro transmit/receive coil
Kazuhiro Nakamura, Toshibumi Kinoshita (Akita Noken) MBE2023-76
In order to recognize the perivascular space perfusion, we need a method for combined evaluation of MRI and flurescence ... [more] MBE2023-76
pp.42-45
PRMU, IBISML, IPSJ-CVIM 2024-03-03
16:30
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
Assessment of the Utility of Tumor Location Information in MR Image Classification of Tumors
Tsukasa Nishinakagawa, Yoshinari Takeishi, Jun'ichi Takeuchi (Kyushu Univ.) IBISML2023-43
MRI, or magnetic resonance imaging, is a medical imaging technique widely used in various healthcare settings. It utiliz... [more] IBISML2023-43
pp.21-28
MI 2024-03-03
17:30
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
A Study of LGE-MRI Image Preprocessing Methods for Machine Learning-Based Left Atrial Wall Segmentation
Kyohei Konishi, Shingo Araki, Ryo haraguchi (UOH), Kunihiko Kiuchi (KUH) MI2023-61
Preoperative assessment of left atrial fibrosis from late gadolinium enhancement MRI (LGE-MRI) images has been studied t... [more] MI2023-61
pp.91-94
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] 2024-02-20
14:00
Hokkaido Hokkaido Univ. Fine-tuning Model for Diagnosis of Autism Spectrum Disorder Using fMRI Data
Sae Yoshihara, Takuya Kitamura (NITT) ITS2023-71 IE2023-60
In this paper, we propose and evaluate novel classification models generated by fine-tuning a pre-trained image classifi... [more] ITS2023-71 IE2023-60
pp.135-140
EID, ITE-IDY, IEE-EDD, SID-JC, IEIJ-SSL [detail] 2024-01-25
13:15
Kyoto
(Primary: On-site, Secondary: Online)
[Poster Presentation] Reproduction of changes in membrane potential of neurons by synaptic devices using memristors
Kenta Yachida, Yoshiya Abe, Kazuki Sawai (Ryukoku Univ.), Tokiyoshi Matsuda (Kindai Univ./Ryukoku Univ.), Hidenori Kawanishi (Ryukoku Univ.), Mutsumi Kimura (Ryukoku Univ./NAIST) EID2023-4
We attempted to replicate the changes in the membrane potential of neurons using thin-film neuromorphic devices that int... [more] EID2023-4
pp.9-12
MI, MICT 2023-11-14
13:00
Fukuoka   Brain Disease Classification Based on Brain MRI Images Using 3D-CNN
Daisuke Hayashi, Akio Nagasaka, Yuji Mochizuki, Takayuki Hayashi (Hitachi), Takefumi Ueno (NHO Hizen Psychiatric Center) MICT2023-29 MI2023-22
Schizophrenia and Alzheimer’s disease are brain diseases that cause structural changes in the brain. In this paper, we c... [more] MICT2023-29 MI2023-22
pp.15-20
NLP, CAS 2023-10-06
09:20
Gifu Work plaza Gifu A Simulation Comparison of Chaotic Circuits Under Different Memristor SPICE Models
Yasuhiro Takahashi (Gifu Univ.) CAS2023-30 NLP2023-29
With the advent of memristor using titanium oxide thin films, that is, HP memristor, various SPICE models of HP memristo... [more] CAS2023-30 NLP2023-29
pp.1-4
MI 2023-09-08
10:30
Osaka
(Primary: On-site, Secondary: Online)
Adaptive Selection of Acquisition Parameter for Multi-Parameter Mapping in MRI
Huijie Zhang (Tokyo Tech), Shigehide Kuhara (KU), Jun'ichi Takeuchi (QU), Yutaka Jitsumatsu (Tokyo Tech) MI2023-15
We have proposed an adaptive and iterative method to determine the acquisition parameters
for a multi-parameter mapping... [more]
MI2023-15
pp.3-6
MSS, CAS, SIP, VLD 2023-07-06
11:00
Hokkaido
(Primary: On-site, Secondary: Online)
Lifetime improvement of Memristor-based Hyperdimensional Computing Inference Accelerator by Error Detection and Built-in Self Repair
Tetsuro Iwasaki, Michihiro Shintani (KIT) CAS2023-5 VLD2023-5 SIP2023-21 MSS2023-5
The implementation of hyperdimensional computing in memristors is expected to realize a highly efficient inferencer for ... [more] CAS2023-5 VLD2023-5 SIP2023-21 MSS2023-5
pp.22-27
MI 2023-07-03
10:00
Miyagi Tohoku Univ. Sakura Hall HCP data processing by hybrid approach for parameter inference in free water imaging model of diffusion MRI -- comparison of diffusion tensor computation methods for datasets without b0 image --
Yoshitaka Masutani (Tohoku Univ.), Keigo Yamazaki, Wataru Uchida, Koji Kamagata (Juntendo Univ.), Koh Sasaki (HHC), Shigeki Aoki (Juntendo Univ.) MI2023-7
We have proposed a hybrid approach combining synthetic Q-space learning and conventional fitting for parameter estimatio... [more] MI2023-7
pp.1-2
MI 2023-07-03
10:30
Miyagi Tohoku Univ. Sakura Hall Multi-directional Motion Analysis of Diaphragm in Patients with Chronic Obstructive Pulmonary Disease
Xingyu Zhou (Chiba Univ.), Chen Ye (NJUPT), Takayuki Okamoto (Chiba Univ.), Yuma Iwao (QST), Naoko Kawata, Hideaki Haneishi (Chiba Univ.) MI2023-8
Chronic obstructive pulmonary disease (COPD) typically causes airflow blockage and breathing difficulty, with the abnorm... [more] MI2023-8
pp.3-8
MI 2023-07-03
13:00
Miyagi Tohoku Univ. Sakura Hall [Special Talk] Transition of Medical Imaging
Koichi Ito (Tohoku Univ.) MI2023-10
Over the past decade, research in medical image processing has dramatically changed. In particular, feature extraction u... [more] MI2023-10
p.11
SP, IPSJ-MUS, IPSJ-SLP [detail] 2023-06-23
13:50
Tokyo
(Primary: On-site, Secondary: Online)
[Poster Presentation] Examination of the vocal tract control for pitch changes in opera singing using real-time MRI
Natsuki Toda, Hironori Takemoto (CIT), Jun Takahashi (OUA) SP2023-6
(To be available after the conference date) [more] SP2023-6
pp.26-29
MI 2023-03-07
10:51
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Deep learning-based MRI phase unwrapping technique by using BlochSolver
Kota Tsutsui, Yuta Endo, Haruna Shibou, Sanae Takahashi, Kuninori Kobayashi, Shigehide Kuhara (Kyorin Univ) MI2022-110
MRI (Magnetic Resonance Imaging) has excellent image contrast; however, phase errors due to magnetic field inhomogeneiti... [more] MI2022-110
pp.150-154
MI 2023-03-07
11:04
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Fast 3D Multi-parameter Mapping using Dictionary Matching
Kohei Saito, Yuta Endo, Haruna Shibou, Sanae Takahashi, Kuninori Kobayashi, Shigehide Kuhara (Kyorin Univ.) MI2022-111
Multi-parameter Mapping (MPM) is a technique that enables quantitative diagnosis by obtaining quantitative values such a... [more] MI2022-111
pp.155-160
MI 2023-03-07
11:17
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Thermal properties imaging in human bodies based on Helmholtz decomposition of heat flux
Naohiro Eda, Takaaki Nara (Univ. Tokyo) MI2022-112
Imaging thermal properties of human tissues is useful for the diagnosis and surgery of tumors.
A few methods have been... [more]
MI2022-112
pp.161-166
SP, IPSJ-SLP, EA, SIP [detail] 2023-02-28
09:50
Okinawa
(Primary: On-site, Secondary: Online)
End-to-End Speech Synthesis Based on Articulatory Movements Captured by Real-time MRI
Yuto Otani, Shun Sawada, Hidefumi Ohmura, Kouichi Katsurada (Tokyo Univ. Sci.) EA2022-77 SIP2022-121 SP2022-41
We propose an end-to-end deep learning model for speech synthesis based on articulatory movements captured by real-time ... [more] EA2022-77 SIP2022-121 SP2022-41
pp.13-18
IMQ 2022-12-16
14:55
Chiba Nishi-Chiba Campus, Chiba Univ. Development of a Breast Cancer Surgery Support System with Stable MRI Image Superimposition by Colorization of Fiducial Markers
Mizuki Hattori, Takaya Oguchi, Hiroshi Fujimoto (Chiba Univ.), Yoshihiro Kuroda (Univ. of Tsukuba), Katsuhiro Nasu, Yukihiro Nomura, Hideki Hayashi, Toshiya Nakaguchi (Chiba Univ.) IMQ2022-16
Magnetic Resonance Imaging (MRI) is used to determine the extent of resection in breast cancer surgery, but tumor resect... [more] IMQ2022-16
pp.7-11
ET 2022-12-10
11:20
Ishikawa JAIST Kanazawa Satellite and Online
(Primary: On-site, Secondary: Online)
Usefulness of MRI imaging in ultrasound examination learning using RVS
Shiori Ichikawa, Norio Sekine (TMU), Masashi Matsuzaki (AU) ET2022-46
(To be available after the conference date) [more] ET2022-46
pp.37-41
MRIS, CPM, ITE-MMS [detail] 2022-10-28
10:05
Nagano Shinshu Univ.
(Primary: On-site, Secondary: Online)
Preparation and Evaluation of Molybdenum Oxide for Memristors by Anodic Oxidation Method
Chie Nagaoka, Myo Than Htay, Yoshio Hashimoto (Shinshu Univ.) MRIS2022-14 CPM2022-45
Molybdenum oxide, which is a potent resistive switching medium of memristors, is prepared by anodic oxidation technique ... [more] MRIS2022-14 CPM2022-45
pp.33-36
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