Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SIS |
2024-06-07 12:40 |
Hiroshima |
Hiroshima University (Primary: On-site, Secondary: Online) |
A Discriminator for Calcification Regions detector in Dental Panoramic Radiographs Sota Nakano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Nanae Dewake, Nobuo Yoshinari (Matsumoto Dental Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital) |
(To be available after the conference date) [more] |
|
PRMU, IPSJ-CVIM |
2024-05-16 09:45 |
Tokyo |
(Primary: On-site, Secondary: Online) |
Development and evaluation of a video segmentation model using differences between frames Sota Kawamura, Hirotada Honda, Shugo Nakamura, Takashi Sano (Toyo Univ) |
(To be available after the conference date) [more] |
|
SIS |
2024-03-14 14:50 |
Kanagawa |
Kanagawa Institute of Technology (Primary: On-site, Secondary: Online) |
Improvement of Detection Accuracy for Detection of Calcification Regions in Dental Panoramic Radiographs Using LVAT Naoki Ikeda, Sei Takano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Nanae Dewake, Nobuo Yoshinari (Matsumoto Dental Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital) SIS2023-50 |
Carotid arteries on dental panoramic radiographs may show areas of calcification, a sign of vascular disease. The sudden... [more] |
SIS2023-50 pp.27-32 |
LOIS |
2024-03-14 12:05 |
Okinawa |
Okinawa Pref Danjyo-Kyoudou-Sankaku Center (Primary: On-site, Secondary: Online) |
3D Structure Estimation of a Room Using only a Monocular Camera to Enhance Reality of Remote Coworking Junya Morioka, Kento Masaki, Ryusuke Miyamoto (Meiji Univ.) LOIS2023-63 |
In recent years, the use of web conference tools has increased with the spread of remote work. However, compared to face... [more] |
LOIS2023-63 pp.90-95 |
NC, MBE (Joint) |
2024-03-12 13:55 |
Tokyo |
The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Identification of filamentous fungi by segmentation models using consistency regularization and classmix Taiga Shimizu (Yamanashi Univ.), Waleed Asghar (Oklahoma State Univ.), Ryota Kataoka, Motonobu Hattori (Yamanashi Univ.) NC2023-57 |
In agriculture, soil diagnosis is necessary to protect the environment. However, since current diagnostic methods are no... [more] |
NC2023-57 pp.81-86 |
MI |
2024-03-03 16:54 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Domain generalization with WSI feature Yuki Shigeyasu (Kyushu Univ.), Shota Harada (Hiroshima City Univ.), Mariyo Kurata, Kazuhiro Terada, Naoki Nakazima (Kyoto Univ.), Akihiko Yoshizawa (Nara Medical Univ.), Hiroyuki Abe, Tetsuo Ushiku (Tokyo Univ.), Ryoma Bise (Kyushu Univ.) MI2023-58 |
In this study, we propose a domain generalization method for pathological images (WSI). Domain shifts in pathological im... [more] |
MI2023-58 pp.81-84 |
MI |
2024-03-03 17:30 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
A Study of LGE-MRI Image Preprocessing Methods for Machine Learning-Based Left Atrial Wall Segmentation Kyohei Konishi, Shingo Araki, Ryo haraguchi (UOH), Kunihiko Kiuchi (KUH) MI2023-61 |
Preoperative assessment of left atrial fibrosis from late gadolinium enhancement MRI (LGE-MRI) images has been studied t... [more] |
MI2023-61 pp.91-94 |
MI |
2024-03-04 10:10 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Segmentation of lung nodules in CT using an ensemble of multiple MTANN Kentaro Someya, Shogo Kodera, Hiroko Oshibe, Jin Ze, Kenji Suzuki (Tokyo Tech) MI2023-67 |
It is challenging to accurately and robustly segment ground-glass opacity (GGO) nodules. In this study, we propose an ac... [more] |
MI2023-67 pp.113-116 |
MI |
2024-03-04 10:22 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Robust segmentation approach over various training-to-test ratios for gross tumor volumes of lung cancer based on fused outputs Yunhao Cui, Hidetaka Arimura (Kyushu Univ.), Yuko Shirakawa (National Hospital Organization Kyushu Cancer), Tadamasa Yoshitake (Kyushu Univ.), Yoshiyuki Shioyama (Saga HIMAT), Hidetake Yabuuchi (Kyushu Univ.) MI2023-68 |
This study investigates robust deep learning (DL) methods for segmenting lung cancer from stereotactic body radiotherapy... [more] |
MI2023-68 pp.117-118 |
MI |
2024-03-04 11:10 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Identification of follicle segmentation and subtype in a lymph node HE-stained image based on the set of cell nuclei Mizuki Moribe, Tatsuya Yokota (NIT), Koichi Oshima, Hiroaki Miyoshi, Miharu Nagaishi (Kurume Univ.), Noriaki Hashimoto (RIKEN), Ichiro Takeuchi (NU), Hidekata Hontani (NIT) MI2023-72 |
In this paper, we report on a method for follicle segmentation and the identification of malignant lymphoma subtypes usi... [more] |
MI2023-72 pp.131-132 |
MI |
2024-03-04 12:40 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Teeth Segmentation from 3D Dental Model using Deep Learning and Statistical Shape Models Hazuki Yamada, Kana Kono (Okayama Univ.), Shoko Miyauchi (Kyushu Univ.), Hiroshi Kamioka (Okayama Univ.), Ken'ichi Morooka (Kumamoto Univ.) MI2023-73 |
3D dental model generated by using an intraoral scanner is a useful tool for knowing the shape of teeth. The application... [more] |
MI2023-73 pp.133-136 |
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 13:16 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Alveoli segmentation from lung micro-focus X-ray CT volumes using 2D U-Net based on sheet-like structure Daisuke Fukai (Nagoya Univ), Hirohisa Oda (University of Shizuoka), Yuichiro Hayashi, Tong Zheng, Shota Nakamura, Masahiro Oda, Kensaku Mori (Nagoya Univ) MI2023-76 |
This paper describes methods for segmenting the alveoli from micro-focus X-ray CT volumes of the lung.
Micro-CT volumes... [more] |
MI2023-76 pp.145-148 |
MI |
2024-03-04 13:40 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Multi-Organ Segmentation from 3D Abdominal CT Images Using Blood Vessel Enhanced Images and AutoML Mana Ohno, Shen Chen (Nagoya Univ.), Holger R. Roth (NVIDIA Corp.), Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center), Kensaku Mori (Nagoya Univ.) MI2023-78 |
Multi-organ segmentation is an essential method for the development of computer-aided diagnosis and surgery systems. In ... [more] |
MI2023-78 pp.152-155 |
HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka |
Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
A study of word segmentation method from short sign language sentences using acceleration information Yoshimori Umeda, Kenshin Numakura, Yuusuke Kawakita, Hiromitsu Nishimura, Hiroshi Tanaka (KAIT), Jin Mitsugi (Keio Univ.) |
Studies towards sign language recognition have reported results for a limited vocabulary sing language words. However, t... [more] |
|
SIS |
2023-12-08 14:10 |
Aichi |
Sakurayama Campus, Nagoya City University (Primary: On-site, Secondary: Online) |
Improvement of Multi-task Training for Detection of Calcification Regions in Dental Panoramic Radiographs Kazuki Iwasaki, Mitsuji Muneyasu, Taito Murano, Soh Yoshida, Akira Asano (Kansai Univ.), Nanae Dewake, Nobuo Yoshinari (Matsumoto Dental Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital) SIS2023-43 |
Carotid arteries on dental panoramic radiographs may show areas of calcification, a sign of vascular disease. Detection ... [more] |
SIS2023-43 pp.105-110 |
SIS, IPSJ-AVM [detail] |
2023-06-15 11:10 |
Shimane |
NIT, Matsue College (Primary: On-site, Secondary: Online) |
A New Detection Method of Calcification Regions in Dental Panoramic Radiograph and Application of MTL in Its Learning Taito Murano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital,) SIS2023-2 |
Calcification regions, considered a sign of atherosclerosis, are sometimes observed in the carotid arteries in dental pa... [more] |
SIS2023-2 pp.7-12 |
PRMU, IPSJ-CVIM |
2023-05-19 09:20 |
Aichi |
(Primary: On-site, Secondary: Online) |
Learning static NeRF representations from video using 2D segmentation masks Takashi Otonari (Tokyo Univ.), Satoshi Ikehata (NII), Kiyoharu Aizawa (Tokyo Univ.) PRMU2023-7 |
In this paper, we tackle the problem of extracting static backgrounds from videos containing moving objects, such as peo... [more] |
PRMU2023-7 pp.33-38 |
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 15:40 |
Okinawa |
Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
Improvement of cross-attention modules for image captioning using pixel-wise semantic information Zhihao Chen, Keisuke Doman, Yoshito Mekada (Chukyo Univ.) IMQ2022-84 IE2022-161 MVE2022-114 |
Most of image captioning models have attention modules, and the module outputs an attention map (weighted feature map) f... [more] |
IMQ2022-84 IE2022-161 MVE2022-114 pp.333-338 |