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All Technical Committee Conferences (Searched in: All Years)
| 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 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 |
| 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 |
|
| 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 | 2023-03-07 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 |
| 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 |
| HIP, ITE-HI, ASJ-H, VRPSY [detail] | 2022-02-28 13:30 |
Online | Online | [Invited Talk]
Glossiness perception
-- cues, reproduction methods using 3D images and quantitative evaluation, brain mechanism, and effects on facial attractiveness and the neural correlates -- Yuichi Sakano (NICT/Osaka Univ.) HIP2021-70 |
By virtue of the recent great advances in computer graphics technology, mechanisms for the perception of object material... [more] | HIP2021-70 pp.62-67 |
| MI | 2022-01-27 16:13 |
Online | Online | [Short Paper]
utomatic Extraction of Regions of Vascular Lesions Including Diffuse Lesions in MR Images Using Weakly Supervised Deep Learning Koki Fukaya, Takeshi Hara (Gifu Univ.), Taiki Nozaki, Masaki Matsusako (St.Luke's International Hosp.), Tetsuro Katafuchi (Gifu Medical Univ.), Xiangrong Zhou, Hiroshi Fujita (Gifu Univ.) MI2021-87 |
Klippel-Trenaunay-Weber syndrome (KTS) is a type of vascular lesion for which there is no quantitative diagnostic method... [more] | MI2021-87 pp.186-187 |
| IE | 2022-01-24 13:05 |
Tokyo | National Institute of Informatics (Primary: On-site, Secondary: Online) |
Reduction of Truncation Artifacts by Massive-Training Artificial Neural Network (MTANN) in Fast-Acquisition MRI of the Knee Maodong Xiang, Ze Jin, Kenji Suzuki (Tokyo Tech) IE2021-31 |
MRI has a relatively long acquisition time, leading to patient comfort problems and artifacts from patient motion. Accel... [more] | IE2021-31 pp.21-26 |
| MI | 2021-05-17 10:00 |
Online | Online | [Short Paper]
Regression of Induced Electric Field for TMS by using Neural Network and Governing Equation Toyohiro Maki (NITech), Yoshikazu Ugawa, Takenobu Murakami (Fukushima Medical Univ.), Tatsuya Yokota, Akimasa Hirata, Hidekata Hontani (NITech) MI2021-1 |
TMS (Transcranial Magnetic Stimulation) is a method which stimulate the neurons in the brain by using a coil. Since stim... [more] | MI2021-1 pp.1-2 |
| MI | 2021-05-17 14:40 |
Online | Online | MR super-resolution based on signal-image domain learning using phase scrambling Fourier transform imaging Kazuki Yamato, Hiromichi Wakatsuki, Satoshi Ito (Utsunomiya Univ.) MI2021-6 |
In the phase-scrambling Fourier transform (PSFT) imaging, the signals not sampled during imaging can be extrapolated and... [more] | MI2021-6 pp.14-19 |
| MI | 2021-03-15 15:15 |
Online | Online | Deep State-Space Modeling of FMRI Images with Disentangle Attributes Koki Kusano (Kobe Univ.), Takashi Matsubara (Osaka Univ.), Kuniaki Uehara (Osaka Gakuin Univ.) MI2020-59 |
As well as the disorder and other targets, nuisance attributes such as age, gender, and scanner specifications underlie ... [more] | MI2020-59 pp.56-61 |
| MI | 2021-03-15 15:45 |
Online | Online | Feasibility study of automatic extraction method of coronary artery stationary period using CNN
-- Comparison between 1.5T and 3.0T -- Remina Kasai, Yuta Endo, Haruna Shibou, Makoto Amanuma, Kuninori Kobayashi, Shigehide Kuhara (Kyorin Univ.) MI2020-61 |
Magnetic resonance coronary angiography (MRCA) requires data acquisition during the stationary period of the coronary ar... [more] | MI2020-61 pp.66-70 |
| PRMU | 2020-10-09 11:00 |
Online | Online | Examination of data preprocessing in functional MRI image analysis using CNN Yuta Hosoi (Niigata Univ.), Takafumi Hayashi (Nihon Univ) PRMU2020-22 |
fuctional MRI(fMRI) has been used in various fields from medicine and neuroscience to psychology andlinguistics since it... [more] | PRMU2020-22 pp.20-25 |
| MI | 2020-09-03 14:55 |
Online | Online | Performance Improvement of Alzheimer's Disease Classification Using Convolutional Neural Network Daiki Endo, Koichi Ito, Takafumi Aoki (Tohoku Univ.) MI2020-31 |
Alzheimer's disease (AD) is a progressive brain disease that causes a different pattern of brain atrophy from normal agi... [more] | MI2020-31 pp.63-67 |
| IBISML | 2020-03-11 14:10 |
Kyoto | Kyoto University (Cancelled but technical report was issued) |
Accuracy of Brain Tumor Detection and Classification Based on Under Sampled k-Space Signals Tania Sultana, Sho Kurosaki, Yutaka Jitsumatsu, Junichi Takeuchi (Kyushu Univ.) IBISML2019-46 |
The prime concern of Magnetic Resonance Imaging (MRI) is to optimize examination time by assuring a good quality of the... [more] |
IBISML2019-46 pp.91-94 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 11:10 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
Human Motion Recognition from Single Camera Images Using TMRI Cao Jing, Youtaro Yamashita, Joo Kooi Tan (Kyutech) IMQ2019-17 IE2019-99 MVE2019-38 |
In recent years, research on computer vision has progressed and is being applied in a wide range of fields. Among them, ... [more] | IMQ2019-17 IE2019-99 MVE2019-38 pp.17-21 |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-27 14:55 |
Hokkaido | Hokkaido Univ. (Cancelled but technical report was issued) |
A Note on Estimation of Image Categories Using Brain Activity While Viewing Images Based on MVBGM-MS Yusuke Akamatsu (Hokkaido Univ.), Ryosuke Harakawa (Nagaoka Univ. of Tech.), Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents multi-view Bayesian generative model for multi-subject fMRI data (MVBGM-MS) for accurate estimation ... [more] | |
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