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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 2300 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2024-03-03
11:40
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Short Paper] Weak supervised chest lesion detection on FDG-PET/CT Images using Pix2Pix image modality translation
Kazuki Otani, Kohei Yoshida, Mitsutaka Nemoto (Kindai Univ.), Hayato Kaida (KU Hosp), Yuichi Kimura, Takashi Nagaoka, Katsuhiro Mikami (Kindai Univ.), Takahiro Yamada, Kohei Hanaoka (KU Hosp), Tsuchitani Tatsuya, Kazuhiro Kitajima (HMU Hosp), Kazunari Ishii (KU Hosp) MI2023-42
In this study, we propose a method for detecting thoracic lesions on PET/CT images using 3D Pix2Pix, which learns a tran... [more] MI2023-42
pp.36-38
PRMU, IBISML, IPSJ-CVIM 2024-03-03
15:00
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
Learning VQ-VAE for Image Dimensionality Reduction with Spatial Frequency Loss
Naoyuki Ichimura (AIST) PRMU2023-60
Vector Quantized-Variational AutoEncoders (VQ-VAEs) are a type of deep neural networks designed to learn an approximate ... [more] PRMU2023-60
pp.53-58
PRMU, IBISML, IPSJ-CVIM 2024-03-04
09:00
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
A study on camera parameter estimation using multiple cameras running in parallel for wide-area 3D scene reconstruction
Takayuki Kurozumi, Shota Yamada, Seiichi Konya, Shinji Fukatsu (NTT) PRMU2023-68
In recent years, Neural Radiance Fields (NeRF) has attracted attention as a 3D scene reconstruction technology, and is e... [more] PRMU2023-68
pp.100-105
MI 2024-03-03
17:18
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
3D shape reconstruction of colon with model-based unsupervised depth estimation
Natsu Onozaka (Nagoya Univ.), Hayato Itoh (Fukuoka Univ.), Masahiro Oda (Nagoya Univ.), Masashi Misawa (Showa Univ.), Yuichi Mori (UiO), Shin-ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) MI2023-60
We propose unsupervised trainig for the pose estimation in 3D reconstrcution of the colon from colonoscopic images by cl... [more] MI2023-60
pp.87-90
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
09:12
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Reflection noise estimation in photoacoustic image
Takehiro Yamane (Kyushu Univ.), Syota Harada (Hiroshima City Univ.), Itaru Tsuge, Susumu Saito (Kyoto Univ.), Ryoma Bise (Kyushu Univ.) MI2023-63
In this study, we estimate the reflection noise present in three-dimensional photoacoustic images.
In photoacoustic ima... [more]
MI2023-63
pp.99-102
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
MI 2024-03-04
10:46
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Automated musculoskeletal segmentation of torso CT images
Sanaa Amina Gourine, Mazen Soufi, Yoshito Otake (NAIST), Yuto Masaki (NAIST-PSP Corporation), Yoko Murakami, Yukihiro Nagatani, Yoshiyuki Watanabe (Shiga Univ), Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ), Nobuhiko Sugano (Osaka Univ), Yoshinobu Sato (NAIST) MI2023-70
Musculoskeletal segmentation (MSK) in CT is helpful for several applications, including body composition analysis, biome... [more] MI2023-70
pp.122-126
MI 2024-03-04
12:52
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Uncertainty-Boosted COVID-19 Lesion Segmentation Method from Chest CT Images
Tianyu Yang, Masahiro Oda, Tong Zheng, Yuichiro Hayashi, Kensaku Mori (Nagoya Univ) MI2023-74
The spread of COVID-19 pandemic has severely threatened global health in recent years. Deep learning based method for CO... [more] MI2023-74
pp.137-140
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
MI 2024-03-04
14:12
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Anomaly Detection for Lung CT Images Using VQ-VAE with SVDD
Zhihui Gao, Ryohei Nakayama, Aikiyoshi Hizukuri (Ritsumeikan Univ.), Shoji Kido (Oosaka Univ.) MI2023-80
In this study, VQ-VAE with SVDD for anomaly detection in CT images was constructed by introducing a support vector data ... [more] MI2023-80
pp.158-159
MI 2024-03-04
14:24
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Attenuation Correction of Bone Scintigraphy Using pix2pix
Takaki Ojima, Ryohei Nakayama, Akiyoshi Hizukuri (Ritsumeikan Univ.), Yoya Tomita, Yasutaka Ichikawa, Hajime Sakuma (Mie Univ.) MI2023-81
The purpose of this study was to develop an attenuation correction method for bone SPECT images using 3D-pix2pix which i... [more] MI2023-81
pp.160-161
MI 2024-03-04
15:22
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Prediction of Cancer Relapse for Non-Small Cell Lung Cancer Patients Using Clinical and Imaging Features Before Stereotactic Ablative Radiotherapy
Takumi Kodama, Hidetaka Arimura (Kyushu Univ.), Yuko Shirakawa (Kyushu Cancer Center), Kenta Ninomiya (Sanford Burnham Prebys Med. Discov. Inst.), Tadamasa Yoshitake (Kyushu Univ.), Yoshiyuki Shioyama (SAGA HIMAT) MI2023-85
The aim of this study is to predict locoregional relapse and distant metastasis in stage I non-small cell lung cancer pa... [more] MI2023-85
pp.173-175
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
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
15:45
Okinawa
(Primary: On-site, Secondary: Online)
Prediction of Voice Processing Intensity Matching the Impression of a Voice Agent
Ren Miyamoto, Wakuto Morita, Daisuke Saito, Nobuaki Minematsu (Tokyo Univ.) EA2023-132 SIP2023-179 SP2023-114
When a voice agent such as a robot interacts with a human, it is important in terms of familiarity with the agent to sel... [more] EA2023-132 SIP2023-179 SP2023-114
pp.415-420
SeMI, IPSJ-UBI, IPSJ-MBL 2024-02-29
15:10
Fukuoka   Evaluation Experiment of Display Camera Visible Light Communication Using Adversarial Examples on a Monocular Depth Estimation Model
Changseok Lee, Hiraku Okada (Nagoya Univ.), Tadahiro Wada (Shizuoka Univ.), Chedlia Ben Naila, Masaaki Katayama (Nagoya Univ.) SeMI2023-75
Hidden display-camera visible light communication is a method of embedding data in visual information such as images and... [more] SeMI2023-75
pp.25-30
NS, IN
(Joint)
2024-02-29
10:10
Okinawa Okinawa Convention Center Multimodal Object Recognition Method Using Bayesian Attractor Model For 3D Point Clouds and RGB Images
Haruhito Ando, Daichi Kominami, Ryoga Seki, Masayuki Murata, Hideyuki Shimonishi (Osaka Univ.) NS2023-192
Beyond 5G/6G, technology is driving the development of digital twins. In recent years, the amount of information that ca... [more] NS2023-192
pp.119-124
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] 2024-02-19
10:30
Hokkaido Hokkaido Univ. A Proposal of an Automatic Power Line Removal Method on Images Using Semantic Segmentation and U-Net Trained by the Semantics
Touma Saito, Kazunori Uruma (Kogakuin Univ.) ITS2023-46 IE2023-35
In recent years, image processing technology and hardware performance have improved, making it possible to easily proces... [more] ITS2023-46 IE2023-35
pp.1-6
AP 2024-02-15
14:00
Mie Sinfonia Technology Hibiki Hall Ise
(Primary: On-site, Secondary: Online)
[Tutorial Lecture] Estimation of Radio Propagation Characteristics Using the Color Images Method
Tomie Takahiro, Satoshi Suyama, Koshiro Kitao, Nobuaki Kuno (NTT DOCOMO, INC.) AP2023-189
Currently, research and development of realization of the 6th generation mobile communication system (6G) are carried ou... [more] AP2023-189
pp.11-16
NS, NWS
(Joint)
2024-01-25
13:50
Hiroshima Higashisenda Campus, HiroshimaUniversity + Online
(Primary: On-site, Secondary: Online)
[Encouragement Talk] A real-time 3D video transmission and display system for drone holoportation applications
Ryota Takatsuki, Kenji Kanai, Akihiro Nakao (Tokyo Univ.) NS2023-161
"Drone Holoportation," which we define as a technology where unmanned aerial vehicles transmit three-dimensional imagery... [more] NS2023-161
pp.13-18
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