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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2024-03-04 09:00 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Distance-informed adversarial learning for metal artifact reduction Daisuke Shigemori, Megumi Nakao (Kyoto Univ.)  MI2023-62 |
In this study, we propose an adversarial learning framework that utilises distance information from metal to reduce CT m... [more] | MI2023-62 pp.95-98 |
| MI | 2024-03-04 09:48 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
A trial for improvement in image quality of cone-beam CT images using conditional diffusion model Naruki Murahashi, Mitsuhiro Nakamura, Megumi Nakao (Kyoto Univ.) MI2023-66 |
In this study, we propose a method to improve the image quality of CBCT images based on a conditional diffusion model th... [more] | MI2023-66 pp.109-112 |
| EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] | 2023-07-25 11:40 |
Hokkaido | Hokkaido Jichiro Kaikan | Clone Resistance of Artifact Metrics: Spatial Frequency Filtering Akira Iwahashi, Iwaki Miyamoto, Naoki Yoshida, Tsutomu Matsumoto (YNU) ISEC2023-43 SITE2023-37 BioX2023-46 HWS2023-43 ICSS2023-40 EMM2023-43 |
Artifact metrics is a technology that uses features unique to an artifact to authenticate the artifact in question. Unli... [more] | ISEC2023-43 SITE2023-37 BioX2023-46 HWS2023-43 ICSS2023-40 EMM2023-43 pp.188-193 |
| SRW, MICT, WBS | 2023-07-20 11:00 |
Niigata | Niigata Univ. TOKIMATE (Primary: On-site, Secondary: Online) |
Motion artifact removal in R-R interval estimation of ECG signal for wearable biomedical sensors using adaptive filter and highpass filter Yohei Arakawa, Tadao Nakagawa (Tottori Univ.) WBS2023-13 SRW2023-11 MICT2023-10 |
The development of medical technology has facilitated the acquisition of biomedical information such as electrocardiogra... [more] | WBS2023-13 SRW2023-11 MICT2023-10 pp.1-6 |
| CQ | 2023-07-13 10:50 |
Hokkaido | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Interaction between Human and Autonomous Artifacts from the Perspective of Cognitive Psychology Akihiro Maehigashi (Shizuoka Univ.) CQ2023-21 |
This paper showed the related works about trust in humans-AI interaction and system designs for trust calibration and in... [more] | CQ2023-21 pp.71-73 |
| HWS | 2023-04-15 10:05 |
Oita | (Primary: On-site, Secondary: Online) |
Clone Resistance of Artifact Metric Systems Based on White Light Interferometry and Correlation coefficient Akira Iwahashi, Naoki Yoshida, Tsutomu Matsumoto (YNU) HWS2023-11 |
Artifact metrics are a technology that authenticates artifacts using features unique to each artifact. Unlike convention... [more] | HWS2023-11 pp.43-48 |
| MI | 2023-03-07 10:38 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Proposal a robust respiratory gating method for rodent micro-CT imaging Mahiru Fukushima, Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) MI2022-109 |
Micro-CT has recently been applied to in-vivo small animal imaging in preclinical studies such as drug discovery researc... [more] | MI2022-109 pp.148-149 |
| MI | 2023-03-07 15:25 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
An artifact reduction technique for sparse-view CT using frame interpolation Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) MI2022-120 |
Sparse-view CT is an imaging technique that reconstructs images by reducing the number of projection data. Although spar... [more] | MI2022-120 pp.190-191 |
| RCS, SR, SRW (Joint) |
2023-03-02 11:15 |
Tokyo | Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
Motion artifact removal in R-R interval estimation of ECG signal for wearable biomedical sensors using slope information and adaptive filters Yohei Arakawa, Tadao Nakagawa (Tottori Univ.) SRW2022-52 |
The development of medical technology has facilitated the acquisition of biomedical information such as electrocardiogra... [more] | SRW2022-52 pp.47-51 |
| HWS, VLD | 2023-03-04 11:05 |
Okinawa | (Primary: On-site, Secondary: Online) |
Clone Resistance of Artifact Metrics: Scanning Probe Lithography Based Clones Naoki Yoshida, Akira Iwahashi (YNU), Hoga Morihisa, Junko Ohta, Kaoru Sumiya (AIST), Tsutomu Matsumoto (YNU) VLD2022-117 HWS2022-88 |
The nano-artifact metrics bases its security on the fact that nanometer-order three-dimensional structures (nanopatterns... [more] | VLD2022-117 HWS2022-88 pp.245-250 |
| HWS, VLD | 2023-03-04 11:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Clone Resistance of Artifact Metrics Systems Based on White Light Interferometry and Phase Only Correlation Akira Iwahashi, Naoki Yoshida, Tsutomu Matsumoto (YNU) VLD2022-118 HWS2022-89 |
Artifact Metrics is a technique for authenticating artifacts using characteristics unique to each artifact. Unlike conve... [more] | VLD2022-118 HWS2022-89 pp.251-256 |
| MBE, MICT, IEE-MBE [detail] | 2023-01-17 14:05 |
Saga | Removal of an artifact by transcutaneous auricular vagus nerve stimulation from electroencephalogram using automatic detection and modeling of the artifact Ilham Rais, Tomohiko Igasaki (Kumamoto Univ.) MICT2022-50 MBE2022-50 |
Transcutaneous auricular vagus nerve stimulation (taVNS) is a non-invasive form of stimulation that has potential therap... [more] | MICT2022-50 MBE2022-50 pp.31-35 |
|
| MBE, MICT, IEE-MBE [detail] | 2023-01-17 15:30 |
Saga | Evaluation of Immunity against Electrostatic Artifact on Capacitive Electrocardiogram Measured through Clothing
-- Examination Using Low-Birth-Weight Infant Model -- Tsukasa Aihara, Akinori Ueno (Tokyo Denki Univ.) MICT2022-53 MBE2022-53 |
In capacitive electrocardiogram (cECG) measurement, contamination of transient electrostatic artifact (TEA) is problemat... [more] | MICT2022-53 MBE2022-53 pp.41-45 |
|
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2022-06-17 15:00 |
Online | Online | SP2022-13 |
We investigate the method for unsupervised learning of artifacts correction networks used for post-processing of Multi B... [more] | SP2022-13 pp.49-54 |
| CCS, NLP | 2022-06-10 16:45 |
Osaka | (Primary: On-site, Secondary: Online) |
Motion artifact reduction in EEG recordings using the multivariate temporal response function of acceleration signals with hyperparameter estimation Hiroaki Umehara, Yusuke Yokota (NICT), Masato Okada (UTokyo/NICT), Yasuishi Naruse (NICT) NLP2022-24 CCS2022-24 |
The recent advances of wearable electroencephalography (EEG) systems with dry electrodes provide the realization of brai... [more] | NLP2022-24 CCS2022-24 pp.123-128 |
| SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] | 2022-05-20 16:00 |
Kumamoto | Kumamoto University Kurokami Campus (Primary: On-site, Secondary: Online) |
Application of LambdaNetwork learning long-range interactions between pixels to metal artifact detection Daisuke Shigemori, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.) SIP2022-27 BioX2022-27 IE2022-27 MI2022-27 |
Although deep learning-based image transformation has been attempted to be applied to metal artifact reduction, feature ... [more] | SIP2022-27 BioX2022-27 IE2022-27 MI2022-27 pp.138-143 |
| EMM, EA, ASJ-H | 2021-11-15 09:00 |
Online | Online | [Poster Presentation]
A consideration of training datasets for universal detectors of CNN-generated images Miki Tanaka, Hitoshi Kiya (Tokyo Metro. Univ.) EA2021-32 EMM2021-59 |
Recent rapid advances in convolutional neural networks (CNNs) have made manipulating and generating images easy, so synt... [more] | EA2021-32 EMM2021-59 pp.31-36 |
| IE, SIP, BioX, ITE-IST, ITE-ME [detail] | 2021-06-03 16:30 |
Online | Online | A Study on Compression Artifacts Reduction by a Super-Resolution Network Shion Komatsu, Joi Shimizu, Heming Sun, Jiro Katto (Waseda Univ.) SIP2021-4 BioX2021-4 IE2021-4 |
Due to the huge amount of information in digital video signals, video compression is used to reduce the amount of inform... [more] | SIP2021-4 BioX2021-4 IE2021-4 pp.15-20 |
| IE, SIP, BioX, ITE-IST, ITE-ME [detail] | 2021-06-03 17:00 |
Online | Online | Quadratic Surface Clustering Based on Hyperslab Projection and Its Application to Color Artifact Removal Tatsuya Ohtsubo, Seisuke Kyochi (The Univ. of Kitakyushu) SIP2021-5 BioX2021-5 IE2021-5 |
Color artifact removal based on local color nuclear norm (LCNN) has been proposed conventionally. LCNN relies on the fac... [more] | SIP2021-5 BioX2021-5 IE2021-5 pp.21-26 |
| EMM, IT | 2021-05-20 14:35 |
Online | Online | A universal detector of CNN-generated images based on properties of checkerboard artifacts Miki Tanaka, Hitoshi Kiya (Metro Univ.) IT2021-3 EMM2021-3 |
We propose a universal detector of images generated by using any CNNs to detect CNN-generated images. We consider prope... [more] |
IT2021-3 EMM2021-3 pp.13-18 |
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