IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (Searched in: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 12 of 12  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2024-03-04
10:58
Okinawa OKINAWAKEN SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Multi-organ Segmentation from Abdominal CT Volumes based on Self-supervised Learning
Yaqi Yang, Chen Shen (Nagoya Univ.), Holger R. Roth (NVIDIA), Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center), Kensaku Mori (Nagoya Univ. ; NII) MI2023-71
 [more] MI2023-71
pp.127-130
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
MI 2020-01-30
15:40
Okinawa OKINAWAKEN SEINENKAIKAN Study on non-rigid registration of clinical chest CT volumes and micro CT volumes of excised lung specimen
Shinya Hatakoshi, Hirohisa Oda, Yuichiro Hayashi, Holger R. Roth, Shouta Nakamura, Masahiro Oda (Nagoya Univ.), Masaki Mori (Sapporo-Kosei General Hosp.), Hirotsugu Takabatake (Sapporo Minami-sanjo Hosp.), Hiroshi Natori (Keiwakai Nishioka Hosp.), Kensaku Mori (Nagoya Univ.) MI2019-123
(To be available after the conference date) [more] MI2019-123
pp.249-254
MI 2019-01-22
10:05
Okinawa   Super-resolution of μCT image about dissected lung tissue using Adversarial Dense U-net
Tong Zheng, Hirohisa Oda, Holger R. Roth, Masahiro Oda, Shota Nakamura (Nagoya University), Kensaku Mori (Nagoya University/NII) MI2018-61
μCT images capture three dimensional structures of tissues with a very high resolution of 100 micrometer or smaller. fin... [more] MI2018-61
pp.7-12
MI 2019-01-22
13:20
Okinawa   Deep learning-based segmentation of head anatomical structures using multi-modal images -- Segmentation accuracy validation for training on a small amount of image data --
Takaaki Sugino, Holger R. Roth, Masahiro Oda (Nagoya Univ.), Taichi kin (Univ. of Tokyo), Kensaku Mori (Nagoya Univ.) MI2018-77
This paper proposes a fully convolutional network-based method for segmenting head anatomical structures from multi-moda... [more] MI2018-77
pp.65-70
MI 2019-01-23
11:40
Okinawa   Influence of group normalization in multi-class organ segmentation of abdominal CT volumes
Chen Shen (Nagoya Univ.), Fausto Milletari, Holger R. Roth (Nvidia), Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ.) MI2018-94
Organ segmentation is one of the most important branches of medical image analysis. Fully convolutional networks (FCNs) ... [more] MI2018-94
pp.143-148
MI 2018-07-24
11:05
Iwate aiina (Morioka, Iwate) Investigation of extracting interlobular septa with Radial Structure Tensor (RST) in micro-CT images
Xiaotian Zhao, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Yuichiro Hayashi, Takayasu Moriya, Kai Nagara, Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2018-24
With the advent of Micro-CT, it is expected that the three-dimensional microstructure analyses of the vital specimen may... [more] MI2018-24
pp.11-16
SIP, EA, SP, MI
(Joint) [detail]
2018-03-19
10:05
Okinawa   A preliminary study on unsupervised registration with deep learning
Kai Nagara, Holger R. Roth, Shota Nakamura, Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2017-65
Registration is one of the important processes in medical image processing. Many researchers have proposed methods for r... [more] MI2017-65
pp.7-12
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
10:30
Okinawa   A preliminary study on organ region localization using regression CNN
Natsuki Shimizu, Masahiro Oda, Holger R. Roth, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Michitaka Fujiwara, Kensaku Mori (Nagoya Univ.) MI2017-89
Recently, three dimensional CT volumes are widely used in treatment and diagnosis. Development of a computer-aided diagn... [more] MI2017-89
pp.81-86
MI, MICT 2017-11-06
10:40
Kagawa Sunport Hall Takamatsu On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks
Chen Shen, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Central Center Hospital), Kensaku Mori (Nagoya Univ.) MICT2017-29 MI2017-51
Deep learning-based methods achieved impressive results in segmentations from medical images. With the development of 3D... [more] MICT2017-29 MI2017-51
pp.15-20
MI 2017-01-18
11:22
Okinawa Tenbusu Naha Automated abdominal lymph node detection from 3D CT volumes using Structured Random Forest
Yutaka Hoshiyama, Holger R. Roth, Masahiro Oda (Nagoya Univ.), Yoshihiko Nakamura (NIT), Kazunari Misawa (Aichi Cancer Center Hospital), Michitaka Fujiwara, Kensaku Mori (Nagoya Univ.) MI2016-76
In this paper, we report a study on automated lymph node detection method from 3D abdominal CT volumes using the Structu... [more] MI2016-76
pp.23-28
MI 2017-01-18
16:35
Okinawa Tenbusu Naha Deep-Learning-Based Segmentation for the Head Sectioned Images of the Visible Korean Project
Mohammad Eshghi, Holger R. Roth, Hirohisa Oda, Masahiro Oda (Nagoya Univ.), Min Suk Chung (Ajou Univ.), Kensaku Mori (Nagoya Univ.) MI2016-119
This paper presents the first end-to-end pixelwise fully automated segmentation of the head sectioned images of the Visi... [more] MI2016-119
pp.191-194
 Results 1 - 12 of 12  /   
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
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]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan