|
|
All Technical Committee Conferences (Searched in: All Years)
|
|
Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
|
Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MI |
2021-03-17 14:15 |
Online |
Online |
Super-resolution of thoracic CT volumes using high-frequency learning Ryosuke Kawai, Atsushi Saito (TUAT), Shoji Kido (Osaka Univ), Kunihiro Inai, Hirohiko Kimura (Fukui Univ), Akinobu Shimizu (TUAT) MI2020-97 |
We report the results of super-resolution using a new network model. Specifically, the reconstructed image is represente... [more] |
MI2020-97 pp.218-219 |
MI |
2020-01-30 11:10 |
Okinawa |
OKINAWAKEN SEINENKAIKAN |
[Short Paper]
Improvement of super-resolution of a thoracic CT volume by a simultaneous process with anatomical segmentation Katsuki Tozawa, Atsushi Saito (TUAT), Shoji Kido (Osaka University), Yasushi Hirano (Yamaguchi University), Kunihiro Inai, Hirohiko Kimura (University of Fukui), Akinobu Shimizu (TUAT) MI2019-104 |
[more] |
MI2019-104 pp.175-176 |
MI |
2019-01-22 09:50 |
Okinawa |
|
[Short Paper]
Improvement of super-resolution process of a lung micro CT volume by generative adversarial network Katsuki Tozawa, Atsushi Saito (Tokyo University of Agriculture and Technology), Shoji Kido (Yamaguchi Univ.), Kunihiro Inai, Hirohiko Kimura (University of Fukui), Akinobu Shimizu (Tokyo University of Agriculture and Technology) MI2018-60 |
(To be available after the conference date) [more] |
MI2018-60 pp.5-6 |
MI |
2018-09-28 15:20 |
Tokyo |
Tokyo Women's Medical University |
Estimation of postmortem time for CT images by using texture analysis Yasushi Hirano, Shoji Kido (Yamaguchi Univ.), Kazuyuki Kinoshita, Kunihiro Inai, Sakon Noriki (Univ. of Fukui) MI2018-35 |
The dissection rate for dead human bodies with suspicious death is about 11% in Japan. This rate is markedly lower than ... [more] |
MI2018-35 pp.11-15 |
MI |
2018-07-24 14:35 |
Iwate |
aiina (Morioka, Iwate) |
Estimation of postmortem time for Ai-CT images by using Deep Learning Shota Chai, Yasushi Hirano, Shoji Kido (Yamaguchi Univ.), Kazuyuki Kinoshita, Kunihiro Inai, Sakon Noriki (Univ. of Fukui) MI2018-28 |
Although estimation of postmortem time is important for criminal investigation or sudden in-hospital death in the middle... [more] |
MI2018-28 pp.33-37 |
|
|
|
Copyright and reproduction :
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
|
[Return to Top Page]
[Return to IEICE Web Page]
|