Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 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 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 14:48 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Pathological image features for prediction of disease progression of lung cancer patients who received radiation therapy Jin Yu, Hidetaka Arimura, Takeshi Iwasaki, Takumi Kodama, Cui YunHao, Yoshinao Oda (Kyushu Uni.) MI2023-83 |
Radiation therapy is one of treatment options for lung cancer patients with early and late stages. Since the disease pro... [more] |
MI2023-83 pp.166-168 |
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 |
CS |
2023-11-10 10:10 |
Shizuoka |
Plaza Verde |
Wireless Measurement of Gauge Pressure, Flow Velocity and Flow Volume in Fukimodoshi
-- Prototype of a Built-in Type Electronic Fukimodoshi -- Misaki Shinmyo, Shiryu Miyazawa (Osaka City Univ.), Tetsuo Tsujioka, Hitoshi Watanabe, Yoshimasa Matsuura, Hisayo Yokoyama, Haruka Kawabata (Osaka Metropolitan Univ.), Yoshihiro Yamashina (Aino Univ.) CS2023-75 |
Recently, chronic obstructive pulmonary disease (COPD) has become a major social problem, and estimation of lung age has... [more] |
CS2023-75 pp.47-52 |
MBE, IEE-MBE |
2023-06-16 14:10 |
Hokkaido |
Hokkaido University (Primary: On-site, Secondary: Online) |
Development of an Extra-corporeal circuit Assembly Support System Using Image Recognition Hisashi Miyazaki (Nippon Bunri Univ.), Takayuki Torigoe, Isao Kayano (Kawasaki Univ. of Medical Welfare) MBE2023-9 |
In this research, we developed a system that automatically displays an assembly manual for an artificial heart-lung mach... [more] |
MBE2023-9 p.3 |
MI |
2023-03-06 10:10 |
Okinawa |
OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Radiogenomic signature based on CT images to predict HOPX gene expression and prognoses of patients with non-small cell lung cancer
-- Prognoses and prediction of HOPX expression for NSCLC based on CT image -- Yu Jin, Hidetaka Arimura, YunHao Cui, Takumi Kodama, Shinichi Mizuno (Kyushu Univ.), Satoshi Ansai (Kyoto Univ.) MI2022-77 |
The homeodomain-only protein homeobox, HOPX, has recently been discovered that associated with the prognoses of non-smal... [more] |
MI2022-77 pp.20-23 |
MI |
2022-07-09 11:10 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Lung-inside Local Motion Analysis of COPD Patient using 4D-MRI Chen Ye, Naoko Kawata (Chiba Univ.), Yuma Iwao (QST), Hideaki Haneishi (Chiba Univ.) MI2022-43 |
This study aims to establish a local respiratory motion estimation method inside the lung to apply to diagnose chronic o... [more] |
MI2022-43 pp.42-47 |
SP, IPSJ-MUS, IPSJ-SLP [detail] |
2022-06-17 15:00 |
Online |
Online |
Examination of "sasae-naosu" technique in opera singing using real-time MRI Natsuki Toda, Hironori Takemoto (CIT), Jun Takahashi (OUA), Seiji Adachi (TGU) SP2022-9 |
Amazing rich voice of opera singers could be acquired by developing sophisticated control of the diaphragm and chest. T... [more] |
SP2022-9 pp.30-34 |
CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-09 11:20 |
Online |
Online (Zoom) |
Extraction of lung regions from chest CT images using deep learning Xinshan He, Takaharu Yamazaki (SIT) IMQ2021-11 IE2021-73 MVE2021-40 |
Accurate extraction of lung regions from chest X-ray images is an essential process for detecting lesions in lung fields... [more] |
IMQ2021-11 IE2021-73 MVE2021-40 pp.7-12 |
MI, MICT [detail] |
2021-11-05 15:50 |
Online |
Online |
[Short Paper]
Sketch-based CT image generation of lung cancers using Pix2pix
-- An attempt to improve representation by adopting Style Blocks -- Ryo Toda, Atsushi Teramoto (FHU), Masakazu Tsujimoto (FHUH), Hiroshi Toyama, Masashi Kondo, Kazuyoshi Imaizumi, Kuniaki Saito (FHU), Hiroshi Fujita (Gifu Univ.) MICT2021-42 MI2021-40 |
Generative adversarial networks (GAN) have been used to overcome the lack of data in medical images. However, such appli... [more] |
MICT2021-42 MI2021-40 pp.66-67 |
MI |
2021-08-27 14:35 |
Online |
Online |
[Short Paper]
Three-dimensional structural analysis of alveolar groups using large-field synchrotron radiation micro CT Kurumi Saito, Keisuke Fukuda, Yoshiki Kawata (Tokushima Univ), Keiji Umetani (JASRI), Yasutaka Nakano (Shiga Med Univ), Hiroaki Sakai (AGMC), Toshihiro Okamoto (Cleveland Clinic), Noboru Niki (Medical science Institute, Inc.) MI2021-23 |
Three-dimensional microstructural analysis of the lung is useful for precise understanding of lung growth and disease pr... [more] |
MI2021-23 pp.8-9 |
MI |
2021-03-16 13:45 |
Online |
Online |
Deep Learning prediction of lung transplant rejection from FDG-PET and visualization of the basis for the decision Keisuke Hori (Chiba Univ.), Yuma Iwao, Miwako Takahashi (QST), Haruhiko Shiiya (UTokyo/Hokkaido Univ.), Masaaki Sato (UTokyo), Taiga Yamaya (QST) MI2020-73 |
We conducted a study to correlate FDG-PET images with pathological diagnosis of inflammation in lung transplantation (LT... [more] |
MI2020-73 pp.108-111 |
MI |
2021-03-16 15:15 |
Online |
Online |
[Short Paper]
Three-dimensional analysis of alveolar construction using synchrotron radiation CT with a large-field microscope Kurumi Saito, Keisuke Fukuda, Yoshiki Kawata, Noboru Niki (Tokushima Univ), Keiji Umetani (JASRI), Yasutaka Nakano (Shiga Univ. of Med. Sci.), Hiroaki Sakai (AGMC), Toshihiro Okamoto (Cleveland Clinic) MI2020-78 |
Conversion of images at micro level of the normal lung and those with very early stage lung disease, and the quantitativ... [more] |
MI2020-78 pp.134-135 |
MW, EST, EMCJ, PEM, IEE-EMC [detail] |
2020-10-22 09:30 |
Online |
Online |
Experimental Simulation Using Plane-type of Resonant Electrodes for Estimation of Lung Cancer Position at UHF-band Frequencies Masaya Sakamoto, Futoshi Kuroki (NIT, Kure) EMCJ2020-25 MW2020-39 EST2020-27 |
Malignant neoplasm (cancer) accounts for 30% of the total deaths in Japan. And the lung cancer is the most cause of the ... [more] |
EMCJ2020-25 MW2020-39 EST2020-27 pp.5-8 |
MI |
2020-09-03 10:00 |
Online |
Online |
Lung region segmentation of thoracoscopic image with unsupervised image translation Jumpei Nitta, Megumi Nakao (Kyoto Univ.), Keiho Imanishi (e-Growth Co. Ltd.), Tetsuya Matsuda (Kyoto Univ.) MI2020-19 |
In endoscopic surgery, it is necessary to understand the three-dimensional structure of the target region to improve saf... [more] |
MI2020-19 pp.13-18 |
MBE |
2020-06-12 13:25 |
Online |
Online |
Development of the image recognition part of a medical equipment operation support system using smartglasses Hisashi Miyazaki, Michiko Kawasaki, Isao Kayano (Kawasaki Univ. of Medical Welfare), Hideyuki Oiwa (Medical Universe), Masaki Fujita (Enhanlabo), Takashi Hisagami, Toshihisa Hirose (Tik) MBE2020-7 |
We are developing a support system with the aim of assisting surgery using a heart-lung device. In this system, the user... [more] |
MBE2020-7 pp.5-8 |
MI |
2020-01-29 13:20 |
Okinawa |
OKINAWAKEN SEINENKAIKAN |
[Short Paper]
Growth process analysis of nodular shadows in chest CT images using function expression Shoko Inagaki, Takeshi Hara, Xiangrong Zhou (Gifu Univ.), Taiki Nozaki, Masaki Matsusako (St. Luke's Hospital) MI2019-79 |
Volume changes of lung nodules were recognized to prognose and to predict the abnormalities in the follow-up treatments.... [more] |
MI2019-79 pp.67-69 |