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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 480  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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, Shugo Nakamura, Hirotada Honda, 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
14:00
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
[Invited Lecture] Latest Research Trends 2023: Image Segmentation and General Overview of MICCAI
Masahiro Oda (Nagoya Univ.), Itaru Otomaru (Canon), Ryo Furukawa (Kindai Univ.), Kensaku Mori (Nagoya Univ.) MI2023-46
In this paper, we overview the outlines of MICCAI 2023's main conference sessions and satellite workshops. Several inter... [more] MI2023-46
pp.45-49
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
PRMU, IBISML, IPSJ-CVIM 2024-03-04
11:04
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
Incorporating Vector Norms into Semantic Segmentation Based on Cross Attentions of Stable Diffusion
Yuichi Miyata, Katsufumi Inoue, Michifumi Yoshioka (Osaka Metropolitan Univ.) PRMU2023-72
(To be available after the conference date) [more] PRMU2023-72
pp.122-127
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
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
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
13:04
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
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
ICTSSL, CAS 2024-01-25
10:20
Kanagawa
(Primary: On-site, Secondary: Online)
Using Deep Learning to Recognize and Determine the State of Snow on LED Traffic Signals Regardless of the Outside Environment and Its Application
Megumi Matsuzaka, Tsubasa Saito, Yuichi Sato (Akita Univ.) CAS2023-84 ICTSSL2023-37
Currently, the use of LEDs in traffic signals is being promoted for various advantages. However, due to the characterist... [more] CAS2023-84 ICTSSL2023-37
pp.11-16
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
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