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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 507  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MSS 2024-03-14
10:50
Misc. Kikai-Shinko-Kaikan Bldg. Fake Image Detection Focused on Local Regions
Takumi Owada, Kenya Jinno (Tokyo City Univ.) MSS2023-88 NLP2023-140
We Propose a novel method for detection of images generated by Diffusion Models. We also investigate the attention of ou... [more] MSS2023-88 NLP2023-140
pp.83-86
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-14
11:00
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
[Invited Talk] From Pixels to Precision: Passing into the Future of Super-Resolution Mastery
Supatta Viriyavisuthisakul (PIM) IMQ2023-42 IE2023-97 MVE2023-71
Single Image Super-Resolution (SISR) involves reconstructing low-resolution images to enhance perceptual quality. Recent... [more] IMQ2023-42 IE2023-97 MVE2023-71
p.165
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-15
10:10
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
Construction and accuracy verification of bus passenger counting system using image processing
Yuta Tashiro, Soichirou Yanagihara, Yuukou Horita (Univ. of Toyama) IMQ2023-62 IE2023-117 MVE2023-91
In recent years, the decline of transportation infrastructure in rural areas in Japan and the disparity in transportatio... [more] IMQ2023-62 IE2023-117 MVE2023-91
pp.270-275
MI 2024-03-03
09:41
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
A preliminary study on deep causal discovery model for image classification
Ryohei Motoda, Megumi Nakao (Kyoto Univ.) MI2023-33
Although saliency map used in image classification can visualize the regions correlated with predicted class, it cannot ... [more] MI2023-33
pp.11-14
MI 2024-03-04
13:04
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Extraction of phalanges regions from hand CT images using 3D U-Net
Madoka Okada, Takaharu Yamazaki, Yusei Arisawa (SIT), Kazuaki Tanaka (Neomedical), Keizo Fukumoto (Saitama Jikei) MI2023-75
Accurate extraction of phalanges regions from hand CT images is important to support accurate image diagnosis, treatment... [more] MI2023-75
pp.141-144
EMM 2024-03-02
14:00
Overseas Day1:JEJU TECHNOPARK, Day2:JEJU Business Agency [Poster Presentation] Classification of AI generated images by sparse coding
Daishi Tanaka, Michiharu Niimi (KIT) EMM2023-89
In recent years, advancements in generative AI technologies have made it increasingly challenging for human vision to di... [more] EMM2023-89
pp.1-6
EST 2024-01-25
15:40
Kyoto Kyoto University ROHM Plaza
(Primary: On-site, Secondary: Online)
Evaluation of Electric Field For Perception and Pain Thresholds by TMS
Ryusei Moriyama, Sachiko Kodera (NITech), Tani Keisyke (Otemon Gakuin Univ), Satoshi Tanaka (Hamamatsu university School of Medicine), Akimasa Hirata (NITech) EST2023-110
In recent years, there has been a growing interest in non-invasive stimulation of the brain for medical treatment and di... [more] EST2023-110
pp.61-66
SANE 2023-12-08
10:50
Overseas Surakarta, Indonesia
(Primary: On-site, Secondary: Online)
Novel Evaluation Method for Radio Anechoic Chambers Based on MIMO Radar Image
Yousuke Aoi (SOGO), Hirokazu Kobayashi (Electromagnetic Wave System), Bryan Chih-Yuan Chu (Ohmplus Tech.) SANE2023-75
The radio anechoic chamber is an isolated space, cut off from the outside world, and is an essential measurement space f... [more] SANE2023-75
pp.83-88
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 2023-09-08
11:20
Osaka
(Primary: On-site, Secondary: Online)
A Study on Identifying Gender Differences Using Deep Learning from Retinal Fundus Images
Shota Tsutsui (Waseda Univ.), Ichiro Maruko, Moeko Kawai (TWMU), Yoichi Kato, Jun Ohya (Waseda Univ.) MI2023-17
Previous studies show that a properly designed and trained deep learning algorithm is capable to identify the gender of ... [more] MI2023-17
pp.8-11
IA, ICSS 2023-06-20
13:30
Saga Saga Univ.
(Primary: On-site, Secondary: Online)
Development and evaluation of a micro-plastic collection network system utilizing underwater drones
Shosei Mimoto, Hirosi Yamamoto (Ritsumeikan Univ) IA2023-1 ICSS2023-1
In recent years, there has been growing concern about the impact of microplastics on the marine ecosystem. Microplastics... [more] IA2023-1 ICSS2023-1
pp.1-6
SC 2023-06-03
10:35
Fukushima UBIC 3D Theater, University of Aizu
(Primary: On-site, Secondary: Online)
[Poster Presentation] Understanding transfer learning for medical image classification.
Dao Ngoc HOng, Paik Incheon (UoA) SC2023-9
Transfer learning is one of the critical solutions to deal with the problem of data scarcity, where the learning process... [more] SC2023-9
pp.48-52
CCS 2023-03-27
09:00
Hokkaido RUSUTSU RESORT Medical Image Segmentation with Inverse Heat Dissipation Model
Yu Kashihara, Takashi Matsubara (Osaka Univ.) CCS2022-82
The diffusion model is a generative model based on stochastic transitions and has been successfully used to generate
an... [more]
CCS2022-82
pp.107-112
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-17
14:05
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
A Study on Image Inpainting Considering Local Appearance Consistency
Tianxiang Zhang, Keisuke Doman, Yoshito Mekada (Chukyo Univ.) IMQ2022-77 IE2022-154 MVE2022-107
This paper proposes an image inpainting method which can preserve the local appearance consistency of reconstructed imag... [more] IMQ2022-77 IE2022-154 MVE2022-107
pp.296-301
NC, MBE
(Joint)
2023-03-14
14:45
Tokyo The Univ. of Electro-Communications
(Primary: On-site, Secondary: Online)
On detection of different finger movement by cortical current estimated from EEG and fMRI
Masanori Takaichi, Simon Kojima (SIT), Natsue Yoshimura (Tokyo Inst. Tech.), Shin'ichiro Kanoh (SIT) MBE2022-64
We investigated whether it is possible to detect the intention to move body parts such as fingers by focusing on the hig... [more] MBE2022-64
pp.27-32
MI 2023-03-06
13:15
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Improvement of Small Organ Accuracy in Multi-Organ Segmentation of Abdominal CT Images Using 2.5D Deformable Convolutional CNN
Yuya Okumura, Hiroyuki Kudo, Hotaka Takizawa (Univ of Tsukuba) MI2022-80
In multi-organ segmentation of abdominal CT images using deep learning, small organs such as the pancreas are difficult ... [more] MI2022-80
pp.38-39
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 2023-03-06
17:43
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Relation Analysis between Endometrial Carcinoma of the Uterine Corpus and Proteins Relating to the DNA Replication Using Immunohistochemical Reaction
Rina Hiratsuka (Chiba Univ.), Fumikazu Kimura, Kengo Ohshima, Takumi Urata (Shinshu Univ.), Takayuki Okamoto, Hideaki Haneishi (Chiba Univ.) MI2022-99
Immunohistochemistry is a staining technique for visualizing the expression of specific proteins and identifying cell pr... [more] MI2022-99
pp.119-122
MI 2023-03-07
16:13
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Classification of endoscope images with specular reflection using CNN
Shun Katsuyama, Masashi Fujii (Tottori Univ.), Kazutake Uehara (Yonago Coll.), Masaru Ueki, Hajime Isomoto, Katsuya Kondo (Tottori Univ.) MI2022-123
The endoscopic training system is required that checks whether the inspection points have been taken. In this report, we... [more] MI2022-123
pp.199-204
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
09:30
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Memory Efficient Trilinear Up-sampling for Sparse Voxels
Riku Yamashita, Yusuke Matsui (UTokyo) PRMU2022-102 IBISML2022-109
We propose a memory-efficient Trilinear Up-sampling algorithm for sparse voxel data. Unlike conventional dense Trilinear... [more] PRMU2022-102 IBISML2022-109
pp.226-231
 Results 1 - 20 of 507  /  [Next]  
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