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  (All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2022-07-08
16:00
Hokkaido
(Primary: On-site, Secondary: Online)
[Short Paper] Unsupervised Domain Adaptation for Liver Tumor Detection in Multi-Phase CT images Using Adversarial Learning with Maximum Square Loss
Rahul Kumar Jain (Ritsumeikan Univ.), Takahiro Sato, Taro Watasue, Tomohiro Nakagawa (tiwaki), Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin, Hongjie Hu (Zhejiang Univ.), Yen-Wei Chen (Ritsumeikan Univ.) MI2022-37
Liver tumor detection in multi-phase CT images is essential in computer-aided diagnosis. Deep learning has been widely ... [more] MI2022-37
pp.22-23
MI 2022-07-08
16:20
Hokkaido
(Primary: On-site, Secondary: Online)
[Short Paper] Multi-phase CT Image Segmentation with Single-Phase Annotation Using Adversarial Unsupervised Domain Adaptation
Swathi Ananda, Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua HAN (Yamaguchi Univ.), Lanfen Lin, Hongjie Hu (Zhejiang Univ.), Yen-Wei Chen (Ritsumeikan Univ.) MI2022-38
Multi-phase computed tomography (CT) images are widely used for the diagnosis of liver disease, since different phase ha... [more] MI2022-38
pp.24-25
MI 2022-07-08
16:40
Hokkaido
(Primary: On-site, Secondary: Online)
[Short Paper] Deep Learning-based Risk Prediction Model for Disease-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Image
Weibin Wang (Ristumeikan Univ.), Fang Wang (Zhejiang Univ.), Yunjun Yang (Wenzhou Medical Univ.), Yinhao Li (Ristumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin, Ruofeng Tong, Hongjie Hu (Zhejiang Univ.), Yen-wei Chen (Ristumeikan Univ.) MI2022-39
 [more] MI2022-39
pp.26-29
MI 2022-07-08
17:00
Hokkaido
(Primary: On-site, Secondary: Online)
[Short Paper] Weakly-Supervised Focal Liver Lesion Detection in CT Images
He Li, Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin, Ruofeng Tong, Hongjie Hu (Zhejiang Univ.), Akira Furukawa (Tokyo Metropolitan Univ.), Shuzo Kanasaki (Koseikai Takeda Hospital), Yen-Wei Chen (Ritsumeikan Univ.) MI2022-40
Convolutional neural networks have been widely used for anomaly detection and one of their most common methods is autoen... [more] MI2022-40
pp.30-33
PRMU 2021-12-17
15:30
Online Online [Short Paper] Prediction Model of Early Recurrence of Hepatocellular Carcinoma Based on Deep Learning with Attention Module
Weibin Wang (Ritsumeikan Univ.), Fang Wang, Qingqing Chen (Zhejiang Univ.), Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Yen-wei Chen (Ritsumeikan Univ.) PRMU2021-59
Early recurrence of hepatocyte carcinoma (HCC) will still lead to a decrease in the survival rate of patients who have a... [more] PRMU2021-59
pp.195-198
PRMU 2020-12-18
16:20
Online Online [Short Paper] Case Discrimination: Self-supervised Learning for classification of Medical Image
Haohua Dong, Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Lanfen Lin (Zhejiang Univ.), Hongjie Hu, Xiujun Cai (Sir Run Run Shaw Hospital), Yen-Wei Chen (Ritsumeikan Univ.) PRMU2020-64
Deep Learning provides exciting solutions to problems in medical image analysis and is regarded as a key method for futu... [more] PRMU2020-64
pp.151-155
MI 2020-09-03
10:45
Online Online [Short Paper] Prediction of microvascular invasion in hepatocellular carcinoma based on radiomics method using MRI
Weibin Wang (Ritsumeikan Univ.), Qingqing Chen (Zhejiang Unvi.), Fang Wang (Zhejiang Unvi), Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Hongjie Hu, Lanfen Lin (Zhejiang Unvi), Yen-Wei Chen (Ritsumeikan Univ.) MI2020-22
 [more] MI2020-22
pp.25-26
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-21
10:00
Fukuoka   [Short Paper] Computer-Aided Diagnosis of Liver Cancers Using Deep Learning with Fine-tuning
Weibin Wang (Ritsumeikan Univ.), Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen (Zhejiang Univ.), Yutaro lwamoto, Xianhua Han, Yen-Wei Chen (Ritsumeikan Univ.) PRMU2018-57 IBISML2018-34
Liver cancer is one of the leading causes of death world-wide. Computer-aided diagnosis plays an important role in liver... [more] PRMU2018-57 IBISML2018-34
pp.139-140
PRMU 2009-11-26
09:00
Ishikawa Ishikawa Industrial Promotion Center An adaptive color SIFT descriptor based on independent component analysis for image classification
Danni Ai, Xianhua Han (Ritumeikan Univ.), Xiang Ruan (OMRON), Yen-Wei Chen (Ritumeikan Univ.) PRMU2009-94
In this paper, we present a novel color independent components based SIFT descriptor (termed CIC-SIFT) for object/scene ... [more] PRMU2009-94
pp.1-6
 Results 1 - 9 of 9  /   
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