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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
MICT, MI 2022-11-18
Aichi Nagoya Institute of Technology Extrapolation of partial X-ray image for prediction of whole body musculoskeletal structure
Weiqi Zhang, Yi Gu, Yoshito Otake, Soufi Mazen (NAIST), Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ), Toshiaki Akashi (Juntendo Univ), Kensaku Mori (Nagoya Univ/NII), Kento Aida (NII), Nobuhiko Sugano (Osaka Univ), Yoshinobu Sato (NAIST) MICT2022-38 MI2022-67
Image defects and partial disorders are common problems in medical imaging. Image inpainting and extrapolation are helpf... [more] MICT2022-38 MI2022-67
MICT, MI 2022-11-18
Aichi Nagoya Institute of Technology Development of a Statistical Model for Predicting Aging Change in Spine and Pelvis Based on Landmarks Detected in a Large Scale Torso CT Image Database
Yuga Shimomoto, Yoshito Otake, Tomoki Hakotani, Mazen Soufi (NAIST), Hideki Shigematu (Nara Med. Univ.), Keisuke Uemura (Osaka Univ.), Masaki Takao (Ehime Univ.), Toshiaki Akashi (Juntendo Univ.), Kensaku Mori (Nagoya Univ./NII), Kento Aida (NII), Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MICT2022-39 MI2022-68
One way to describe variations in skeletal shape is a statistical shape model (SSM), which statistically analyzes organ ... [more] MICT2022-39 MI2022-68
MI 2022-01-26
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
MI 2022-01-26
Online Online MI2021-54  [more] MI2021-54
MI 2022-01-26
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
MI 2021-03-16
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
MI 2021-03-16
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
 Results 1 - 7 of 7  /   
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