Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MI |
2025-03-19 13:36 |
Kagawa |
Kagawa International Conference Hall (Kagawa, Online) (Primary: On-site, Secondary: Online) |
Anomaly Region Detection by Progressive Mask Refinement using Diffusion Models Hiroki Tobise (NIT), Masahiro Hashimoto (Keio Univ.), Toshiaki Akashi (Juntendo Univ.), Hidekata Hontani (NIT) |
[more] |
|
PRMU, IPSJ-CVIM, VRSJ-SIG-MR, MVE |
2025-01-21 13:35 |
Fukuoka |
(Fukuoka, Online) (Primary: On-site, Secondary: Online) |
Anomaly Region Detection in Medical Images using Diffusion Models with Simplex Noise and Progressive Mask Refinement Hiroki Tobise (NIT), Masahiro Hashimoto (Keio Univ.), Toshiaki Akashi (Juntendo Univ.), Hidekata Hontani (NIT) PRMU2024-36 |
In this paper, we propose an anomaly detection method that uses a diffusion model as an autoencoder. The diffusion model... [more] |
PRMU2024-36 pp.18-23 |
MICT, MI |
2024-12-05 09:50 |
Osaka |
Jikei University of Health Care Sciences (Osaka) |
Construction of multi-object SSM for torso and upper leg musculoskeletal modeling from a patient’s body shape Ryu Kakiuchi (NAIST), Yuto Masaki (NAIST/PSP), Yoshito Otake, Mazen Soufi, Akihiro Miura (NAIST), Masahiro Hashimoto, Yoshitake Yamada, Minoru Yamada, Yoichi Yokoyama (Keio Univ), Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ), Nobuhiko Sugano (Osaka Univ), Masahiro Jinzaki (Keio Univ), Yoshinobu Sato (NAIST) MICT2024-30 MI2024-28 |
Patient-specific musculoskeletal modeling of the trunk and thigh is important for physiological simulation, surgical pla... [more] |
MICT2024-30 MI2024-28 pp.9-12 |
MI |
2023-03-06 10:23 |
Okinawa |
OKINAWA SEINENKAIKAN (Okinawa, Online) (Primary: On-site, Secondary: Online) |
Computer-aided diagnosis of chest CT images for COVID-19 with lesion enhancement Yusuke Takateyama (TUAT), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT) MI2022-78 |
(To be available after the conference date) [more] |
MI2022-78 pp.24-25 |
MI |
2023-03-06 13:28 |
Okinawa |
OKINAWA SEINENKAIKAN (Okinawa, Online) (Primary: On-site, Secondary: Online) |
Segmentation of Infected Regions from Chest CT Scans of COVID-19 Cases using Average Template Kai Liu, Masahiro Oda, Tong Zheng, Yuichiro Hayashi (Nagoya Univ.), Yoshito Otake (NAIST), Masahiro Hashimoto (Keio Univ.), Toshiaki Akashi, Shigeki Aoki (Juntendo Univ.), Kensaku Mori (Nagoya Univ.) MI2022-81 |
[more] |
MI2022-81 pp.40-45 |
MI |
2023-03-06 14:33 |
Okinawa |
OKINAWA SEINENKAIKAN (Okinawa, Online) (Primary: On-site, Secondary: Online) |
Automated Musculoskeletal Foot Segmentation in CT Images for Patient-Specific Functional Foot Analysis Mazen Soufi, Yoshito Otake, Naoki Ito (NAIST), Yuto Masaki (NAIST/PSP), Tomoki Hakotani (NAIST), Takuma Miyamoto, Yasuhito Tanaka (Nara Med. Univ.), Masahiro Hashimoto, Yoshitake Yamada, Minoru Yamada, Yoichi Yokoyama, Masahiro Jinzaki (Keio Univ.), Keisuke Uemura (Osaka Univ.), Masaki Takao (Ehime Univ.), Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2022-86 |
[more] |
MI2022-86 pp.69-74 |
MI |
2023-03-06 16:51 |
Okinawa |
OKINAWA SEINENKAIKAN (Okinawa, Online) (Primary: On-site, Secondary: Online) |
Synthesizing COVID-19 CT Images with Generative Adversarial Networks Ryo Kawasaki (TUAT), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT) MI2022-95 |
(To be available after the conference date) [more] |
MI2022-95 pp.111-112 |
MI |
2023-03-07 17:16 |
Okinawa |
OKINAWA SEINENKAIKAN (Okinawa, Online) (Primary: On-site, Secondary: Online) |
[Short Paper]
Anomaly Region Detection for Chest CT Images based on Probability Density Estimation Hiroki Tobise, Mauricio Kugler, Tatsuya Yokota (NIT), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT), Hidekata Hontani (NIT) MI2022-127 |
[more] |
MI2022-127 pp.215-216 |
MI |
2022-09-15 10:45 |
Kanagawa |
(Kanagawa, Online) (Primary: On-site, Secondary: Online) |
Virtual Standing Position Transformation from Supine CT using Whole-body Upright CT Scanner Tomoki Hakotani, Yoshito Otake, Mazen Soufi (NAIST), Masahiro Hashimoto, Yoshitake Yamada, Minoru Yamada, Yoichi Yokoyama (Keio Univ.), Keisuke Uemura (Osaka Univ.), Masaki Takao (Ehime Univ.), Nobuhiko Sugano (Osaka Univ.), Masahiro Jinzaki (Keio Univ.), Yoshinobu Sato (NAIST) MI2022-52 |
The modeling of human motion relies on the accurate representation of the deformations in the musculoskeletal geometry t... [more] |
MI2022-52 pp.16-19 |
MI |
2022-01-26 10:13 |
Online |
Online (Online) |
[Short Paper]
Abnormality Detection for Covid-19 Chest CT Images by Dimensionality Reduction Based on Contrastive Learning Hiroki Tobise, Kugler Mauricio, Tatsuya Yokota (NITech), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT), Hidekata Hontani (NITech) MI2021-53 |
In this article, we propose a method that detects anomaly regions in chest CT images for the aid of Covid-19 diagnosis. ... [more] |
MI2021-53 pp.41-42 |
MI |
2022-01-26 10:26 |
Online |
Online (Online) |
MI2021-54 |
[more] |
MI2021-54 pp.43-44 |
MI |
2022-01-26 11:05 |
Online |
Online (Online) |
Study on automatic generation of COVID-19 related radiology reports from chest CT images Shinji Okazaki, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ.), Masahiro Hashimoto, Masahiro Jinzaki (Keio Univ.), Toshiaki Akashi, Shigeki Aoki (Juntendo Univ.), Kensaku Mori (Nagoya Univ./NII) MI2021-57 |
In this paper, we describe a study on automatic generation of COVID-19 related radiology reports from chest CT images. T... [more] |
MI2021-57 pp.49-54 |
MI |
2022-01-27 09:56 |
Online |
Online (Online) |
Segmentation of musculoskeletal structures in supine and upright CTs towards quantitative analysis of musculoskeletal deformation in standing position Tomoki Hakotani, Yoshito Otake, Mazen Soufi (NAIST), Masahiro Hashimoto, Yoshitake Yamada, Minoru Yamada, Yoichi Yokoyama (Keio Univ.), Keisuke Uemura, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Masahiro Jinzaki (Keio Univ.), Yoshinobu Sato (NAIST) MI2021-70 |
Musculoskeletal models that are faithful to medical images are important for clarifying the causes of movement disorders... [more] |
MI2021-70 pp.106-110 |
MI |
2021-05-17 10:30 |
Online |
Online (Online) |
A Study of Automatic Kidney Tumor Segmentation with Deep Learning Wuyang Zhao, Chen Shen, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ), Naoki Higashida, Masahiro Hashimoto, Masahiro Jinzaki (Keio Univ), Kensaku Mori (Nagoya Univ) MI2021-2 |
[more] |
MI2021-2 pp.3-8 |
MI |
2021-03-16 09:00 |
Online |
Online (Online) |
Lung segmentation of thoracic CT volumes by combining slice-wise with pixel-wise classification Takahito Haruishi, Atsushi Saito (TUAT), Masahiro Hashimoto (Keio University), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo University), Akinobu Shimizu (TUAT) MI2020-63 |
[more] |
MI2020-63 pp.72-73 |
MI |
2021-03-16 09:45 |
Online |
Online (Online) |
MI2020-66 |
In this paper, we propose a method for automatically classifying COVID-19 cases from CT images of lung fields. Currently... [more] |
MI2020-66 pp.82-86 |
MI |
2020-01-29 13:20 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Okinawa) |
Imbalanced Subarachnoid Hemorrhage data automatic detection by using SMOTE algorithm based on deep learning Zhongyang Lu, Masahiro Oda, Yuichiro Hayashi, Hayato Ito (Nagoya Univ), Takeyuki Watadani, Osamu Abe (Department of Radiology,The Univ of Tokyo Hospital), Masahiro Hashimoto, Masahiro Jinzaki (Department of Radiology,Keio Univ School of Medicine), Kensaku Mori (Nagoya Univ) MI2019-75 |
Based on deep learning techniques, the performance of image classification has made significant progress. Especially in ... [more] |
MI2019-75 pp.47-52 |
SIP, MI, IE |
2019-05-24 15:15 |
Aichi |
(Aichi) |
On the influence of data augmentation and network structures in bleeding detection from brain CT images using deep learning Zhongyang Lu, Masahiro Oda, Tong Zheng, Chen Shen, Tao Hu (Graduate School of Informatics, Nagoya Univ), Takeyuki Watadani, Osamu Abe (Department of Radiology,The University of Tokyo Hospital), Masahiro Hashimoto, Masahiro Jinzaki (Department of Radiology,Keio University School of Medicine), Kensaku Mori (Graduate School of Informatics, Nagoya Univ) SIP2019-15 IE2019-15 MI2019-15 |
Based on deep learning technique, the performance of image classification has made great progress. However, their state-... [more] |
SIP2019-15 IE2019-15 MI2019-15 pp.65-70 |
|