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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-03 09:12 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Divide-and-Conquer Strategy Based Petal Segmentation in CT Images Yuki Naka, Yuzuko Utsumi, Masakazu Iwamura (Osaka Metropolitan Univ.), Hirokazu Tsukaya (Tokyo Univ.), Koichi Kise (Osaka Metropolitan Univ.)  PRMU2023-58 |
(To be available after the conference date) [more] | PRMU2023-58 pp.41-46 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-03 09:24 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Cardiac Detection in Non-Contrast CT and Application to Calcium Scoring Tetsuya Asakawa, Hiroki Shinoda (TUT), Takuya Togawa, Kazuki Shimizu (THC), Masaki Aono (TUT) PRMU2023-59 |
Coronary artery disease, one of the major causes of death in Japan, is said to be related to coronary artery calcifica- ... [more] | PRMU2023-59 pp.47-52 |
| MI | 2024-03-03 09:53 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Deep Learning based Objective Microscopic Agglutination Test Risa Nakano, Yuji Oyamada (Tottori Univ.), Ryo Ozuru (Fukuoka Univ.) MI2023-34 |
This paper aims to achieve objective justification of decision criteria in Microscopic Agglutination Test (MAT), which i... [more] | MI2023-34 pp.15-18 |
| MI | 2024-03-03 10:17 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Electric field regression from head MR image by transformers for TMS Toyohiro Maki, Tatsuya Yokota, Akimasa Hirata, Hidekata Hontani (NIT) MI2023-36 |
Transcranial Magnetic Stimulation (TMS) is a non-invasive stimulation method by electric field induced by a coil placed ... [more] | MI2023-36 pp.21-24 |
| MI | 2024-03-03 10:40 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Pilot study of multitask learning for upper abdominal organ extraction and lesion detection on PET/CT images Kohei Yoshida, Mitsutaka Nemoto, Kazuki Otani (Kindai Univ.), Hayato Kaida (KU Hosp), Yuichi Kimura, Takashi Nagaoka, Katsuhiro Mikami (Kindai Univ.), Takahiro Yamada, Kohei Hanaoka (KU Hosp), Tatsuya Tsuchitani, Kazuhiro Kitajima (HMU Hosp), Kazunari Ishii (KU Hosp) MI2023-37 |
As one of the studies for highly accurate detection of adrenal metastatic lesions on FDG-PET/CT images, multi-task learn... [more] | MI2023-37 pp.25-27 |
| 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 |
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