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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CPM | 2024-02-29 15:35 |
Yamagata | Yamagata University (Primary: On-site, Secondary: Online) |
Preparation of CaFeO3 Thin Film by Pulsed Laser Deposition and Evaluation of Magnetic Properties Daido Yoshihara, Kenshin Kurumai, Reo Tamura, Nobuyuki Iwata (Nihon Univ.)  CPM2023-111 |
Using a newly developed UHV pulsed laser deposition system, CaFeOx (CFO) thin films were deposited on SrTiO3 (STO) subst... [more] | CPM2023-111 pp.62-64 |
| MI | 2023-03-06 16:00 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Segmentation of renal cancers from multi-phase CT images by deep learning using selective fusion Masanobu Gido (Tsukuba Univ.), Ryo Tanimoto, Kensaku Mori, Hideki Kakeya (Tsukuba Univ.) MI2022-92 |
Multiphase CT images are commonly used for the diagnosis of renal cancer. In this paper, we propose a machine learning s... [more] | MI2022-92 pp.94-99 |
| 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 |
| AP | 2022-10-19 09:30 |
Gifu | GIFU CITY CULTURE CENTER (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Evaluation by Simulation of RSSI-Based Direction of Arrival Estimation of Incoherent Waves by Non-Uniform Array Using Hybrid Circuit Takashi Katsumata, Naoki Honma, Kentaro Murata (Iwate Univ.) AP2022-107 |
This paper proposes a method of estimating the direction of arrival of multiple waves using only RSSI (Received Signal S... [more] | AP2022-107 pp.59-64 |
| EMD, R, LQE, OPE, CPM | 2022-08-26 10:10 |
Chiba | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Optical Properties of a Liquid Crystal Lens with Ring Electrodes Marenori Kawamura (Akita Univ.) R2022-23 EMD2022-11 CPM2022-28 OPE2022-54 LQE2022-17 |
Liquid crystal (LC) materials exhibit anisotropies regarding their electrical and optical properties. LCs combine the pr... [more] | R2022-23 EMD2022-11 CPM2022-28 OPE2022-54 LQE2022-17 pp.38-43 |
| MI | 2022-07-08 16:00 |
Hokkaido | (Primary: On-site, Secondary: Online) |
[Short Paper]
Unsupervised Domain Adaptation for Liver Tumor Detection in Multi-Phase CT images Using Adversarial Learning with Maximum Square Loss Rahul Kumar Jain (Ritsumeikan Univ.), Takahiro Sato, Taro Watasue, Tomohiro Nakagawa (tiwaki), Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin, Hongjie Hu (Zhejiang Univ.), Yen-Wei Chen (Ritsumeikan Univ.) MI2022-37 |
Liver tumor detection in multi-phase CT images is essential in computer-aided diagnosis. Deep learning has been widely ... [more] | MI2022-37 pp.22-23 |
| MI | 2022-07-08 16:20 |
Hokkaido | (Primary: On-site, Secondary: Online) |
[Short Paper]
Multi-phase CT Image Segmentation with Single-Phase Annotation Using Adversarial Unsupervised Domain Adaptation Swathi Ananda, Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua HAN (Yamaguchi Univ.), Lanfen Lin, Hongjie Hu (Zhejiang Univ.), Yen-Wei Chen (Ritsumeikan Univ.) MI2022-38 |
Multi-phase computed tomography (CT) images are widely used for the diagnosis of liver disease, since different phase ha... [more] | MI2022-38 pp.24-25 |
| MI | 2022-01-26 14:05 |
Online | Online | [Short Paper]
Joint Learning for Multi-Phase CT Image Registration and Automatic Recognition of Anatomical Structures Based on a Deep Neural Network Ryotaro Fuwa, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-64 |
Computer-aided diagnosis (CAD) systems require image registration and automatic recognition of anatomical structures on ... [more] | MI2021-64 pp.82-85 |
| PRMU | 2021-12-17 15:30 |
Online | Online | [Short Paper]
Prediction Model of Early Recurrence of Hepatocellular Carcinoma Based on Deep Learning with Attention Module Weibin Wang (Ritsumeikan Univ.), Fang Wang, Qingqing Chen (Zhejiang Univ.), Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Yen-wei Chen (Ritsumeikan Univ.) PRMU2021-59 |
Early recurrence of hepatocyte carcinoma (HCC) will still lead to a decrease in the survival rate of patients who have a... [more] | PRMU2021-59 pp.195-198 |
| 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 14:45 |
Online | Online | Real valued CNN based MR image reconstruction Robust to spatial phase variation Shohei Ouchi, Satoshi Ito (Utsunomiya Univ.) MI2020-57 |
MR images have spatial phase distribution due to the inhomogeneities of static magnetic field strength and the differenc... [more] | MI2020-57 pp.46-50 |
| MI | 2020-09-03 11:30 |
Online | Online | [Short Paper]
Automatic Segmentation of Liver Tumor in Multi- phase CT Images by Attention Mask R-CNN Ryo Hasegawa, Yutaro Iwamoto (Rits Univ.), Lanfen Lin, Hongjie Hu (Zhejiang University), Yen-Wei Chen (Rits Univ.) MI2020-25 |
Tumor detection and segmentation are essential pretreatment steps in computer-aided diagnosis of liver tumors. In this s... [more] | MI2020-25 pp.35-38 |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2019-02-20 13:00 |
Hokkaido | Hokkaido Univ. | Analysis on Basic Operation of Virtual Shift Method for Accuracy Improvement of Holographic Diversity Interferometry Nobuhiro Yamagishi, Atsushi Okamoto, Tomohiro Maeda (Hokkaido Univ.), Jin Nozawa (Aisin Seiki), Kazuhisa Ogawa, Akihisa Tomita (Hokkaido Univ.) |
Holographic diversity interferometry (HDI) enables single-shot phase measurement by using two image sensors. However, mi... [more] | |
| OFT, OCS, OPE (Joint) [detail] |
2019-02-14 13:15 |
Fukuoka | On high-speed imaging using optical phased array and multimode fiber Taichiro Fukui, Yoshiaki Nakano, Takuo Tanemura (Univ. of Tokyo) OCS2018-80 OFT2018-70 OPE2018-192 |
Multimode fiber is grabbing much attention as a promising candidate for in vivo imaging such as fluorescence imaging due... [more] | OCS2018-80 OFT2018-70 OPE2018-192 pp.1-6 |
|
| PRMU, IBISML, IPSJ-CVIM [detail] | 2018-09-21 10:00 |
Fukuoka | [Short Paper]
Computer-Aided Diagnosis of Liver Cancers Using Deep Learning with Fine-tuning Weibin Wang (Ritsumeikan Univ.), Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen (Zhejiang Univ.), Yutaro lwamoto, Xianhua Han, Yen-Wei Chen (Ritsumeikan Univ.) PRMU2018-57 IBISML2018-34 |
Liver cancer is one of the leading causes of death world-wide. Computer-aided diagnosis plays an important role in liver... [more] | PRMU2018-57 IBISML2018-34 pp.139-140 |
|
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 15:45 |
Okinawa | [Short Paper]
Study on Oblique Scanning in MR Compressed Sensing Yuya Sasaki, Satoshi Ito (Utsunomiya Univ.) MI2017-102 |
Compressed sensing (CS) theory requires the sensed image to be sparse in a given orthogonal basis. When the sensed image... [more] | MI2017-102 pp.133-134 |
|
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2018-02-16 13:30 |
Hokkaido | Hokkaido Univ. | Incoherent digital holography using two-step phase-shift method and phase-only correlation reconstruction Naoya Higashionna, Kazutaka Kanno, Masatoshi Bunsen (Fukuoka Univ.) |
We consider incoherent digital holography by two-step phase-shift method and phase-only correlation reconstruction. The ... [more] | |
| PRMU, MVE, IPSJ-CVIM [detail] | 2018-01-18 11:00 |
Osaka | Research of Automatic Degraded Video Restoration by Motion Analysis
-- A Study on Detection Method for Weak-Structured Splice Lines -- Atsushi Matsumoto, Masayuki Kashima, Shinya Fukumoto, Kiminori Sato, Mutsumi Watanabe (Kagoshima Univ.), Kentaro Morita (Greentree) PRMU2017-118 MVE2017-39 |
In recent years, image quality improvement of images such as the appearance of 4K television is progressing. Especially,... [more] | PRMU2017-118 MVE2017-39 pp.63-68 |
|
| MI | 2017-07-06 16:45 |
Miyagi | Tohoku Univ. | A Study of Calibration between Ultrasound Probe and Camera for 3D Ultrasound Image Reconstruction Koichi Ito, Kouya Yodokawa, Takafumi Aoki (Tohoku Univ.), Jun Ohmiya, Satoshi Kondo (Konica Minolta) MI2017-29 |
This paper proposes a 3D reconstruction method for US images using an ultrasound (US) probe and camera system. Calibrati... [more] | MI2017-29 pp.17-22 |
| US | 2017-05-22 13:55 |
Tokyo | Non-contact measurement of body-surface displacement by breathing and heart beat using airborne acoustic images Taiki Hayashi, Shinnosuke Hirata, Hiroyuki Hachiya (Tokyo Inst. of Tech.) US2017-15 |
Today, vital signs measurement systems, in which sensors are had contact with or closed to body surface, are widely prev... [more] | US2017-15 pp.7-12 |
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