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All Technical Committee Conferences (All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2022-07-08 14:40 |
Hokkaido | (Primary: On-site, Secondary: Online) |
[Short Paper]
Automatic Cell Tracking in 4D Microscopic Images Using Genetic Algorithm Yu Song, Yutaro Iwamoto (Ritsumeikan Univ.), Tatsuaki Goh (NAIST), Yohei Kondo (ExCELLS), Keiji Nakajima (NAIST), Yen-wei Chen (Ritsumeikan Univ.) |
[more] | |
| 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 (Rahul), Takahiro Sato (Takahiro), Taro Watasue (Taro), Tomohiro Nakagawa (Tomohiro), Yutaro Iwamoto (Yutaro), Xianhua Han (Xianhua), Lanfen Lin (Lanfen), Hongjie Hu (Hongjie), Yen-Wei Chen (Yen-Wei) |
[more] | |
| 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 (Swathi), Yutaro Iwamoto (Yutaro), Xianhua HAN (Xianhua), Lanfen Lin (Lanfen), Hongjie Hu (Hongjie), Yen-Wei Chen (Yen-Wei) |
[more] | |
| 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.) |
[more] | |
| 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.) |
[more] | |
| PRMU | 2021-12-16 14:45 |
Online | Online | Unsupervised Logo Detection Using Adversarial Learning from Synthetic to Real Images Rahul Kumar Jain (Ritsumeikan Univ.), Takahiro Sato, Taro Watasue, Tomohiro Nakagawa (tiwaki), Yutaro Iwamoto (Ritsumeikan Univ.), Xiang Ruan (tiwaki), Yen-Wei Chen (Ritsumeikan Univ.)  PRMU2021-31 |
Most of the existing deep learning based logo detection methods typically use a large amount of annotated training data,... [more] | PRMU2021-31 pp.43-44 |
| 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 |
| MI | 2021-07-09 11:30 |
Online | Online | [Short Paper]
Multi-modal Adaptive Fusion Transformer Network for Estimation of Depression Level Jiaqing Liu, Shurong Chai (Ritsumei), Hao Sun (Zheda), Xin-Yin Huang (Soochow University), LanFen Lin (Zheda), Tomoko Tateyama (Shiga University), Yutaro Iwamoto, Yen-Wei Chen (Ritsumei) MI2021-17 |
[more] | MI2021-17 pp.33-35 |
| 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 |
| PRMU | 2020-10-09 15:50 |
Online | Online | [Short Paper]
Dynamic Facial Features in in Reading Emotional Text for Identification of Depressive Tendencies Jiaqing Liu (Ritsu), Huang Yue, Xin-Yin Huang (Soochow), Tomoko Tateyama (Shiga University), Yutaro Iwamoto, Yen-Wei Chen (Ritsu) PRMU2020-32 |
[more] | PRMU2020-32 pp.90-92 |
| 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 |
| MI | 2020-09-03 11:00 |
Online | Online | [Short Paper]
Quantitative analysis of epicardial adipose tissue by two-stage segmentation network and its system development Takayuiki Nagata, Yutaro Iwamoto, Zhao Ziyu (Ritsumeikan Univ), Yuji Tezuka, Hiroki Okada, Kiyosumi Maeda, Atsuyuki Wada, Atsunori Kashiwagi (Kusatsu General Hospital), Yen-Wei Chen (Ritsumeikan Univ) MI2020-23 |
Diabetes is thought to lead to vascular disease and arteriosclerosis, and there is a need for early detection and treatm... [more] | MI2020-23 pp.27-30 |
| MI | 2020-09-03 11:30 |
Online | Online | [Short Paper]
Automatic Segmentation of Liver Tumor in Multi- phase CT Images by Attention Mask R-CNN Ryo Hasegawa, Yutaro Iwamoto (Rits Univ.), Lanfen Lin, Hongjie Hu (Zhejiang University), Yen-Wei Chen (Rits Univ.) MI2020-25 |
Tumor detection and segmentation are essential pretreatment steps in computer-aided diagnosis of liver tumors. In this s... [more] | MI2020-25 pp.35-38 |
| MI | 2020-09-03 11:45 |
Online | Online | [Short Paper]
Coarse-to-Fine Cephalometric Landmark Detection Using a Deep Learning Method Yu Song (Ritsumeikan Univ.), Xu Qiao (SDU.), Yutaro Iwamoto, Yen-wei Chen (Ritsumeikan Univ.) MI2020-26 |
[more] | MI2020-26 pp.39-41 |
| 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 |
|
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 09:30 |
Okinawa | [Short Paper]
Adversarial U-net for Liver Segmentation Yuki Enokiya, Yutaro Iwamoto, Yen-Wei Chen (Ritsumeikan Univ.) MI2017-85 |
(To be available after the conference date) [more] | MI2017-85 pp.67-68 |
|
| PRMU, IE, MI, SIP | 2017-05-25 14:10 |
Aichi | Super-resolution of CT images guided by Micro CT images Kyohei Takeda, Yutaro Iwamoto (Ritsumeikan Univ.), Keisuke Uemura, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST), Yen-Wei Chen (Ritsumeikan Univ.) SIP2017-5 IE2017-5 PRMU2017-5 MI2017-5 |
[more] | SIP2017-5 IE2017-5 PRMU2017-5 MI2017-5 pp.25-29 |
|
| PRMU, IE, MI, SIP | 2017-05-26 09:50 |
Aichi | Automatic Generation of User-Specific Make-up Facial Image Based on Machine Learning Ayumi Tsuji, Masataka Seo (Ritsumeikan Univ.), Yuko Mutoh (Yokohama National Univ.), Yen-Wei Chen (Ritsumeikan Univ.) SIP2017-14 IE2017-14 PRMU2017-14 MI2017-14 |
We proposed a machine learning based method for automatic generation of user-specific make-up facial images. In our prop... [more] | SIP2017-14 IE2017-14 PRMU2017-14 MI2017-14 pp.71-74 |
|
| MI, MICT | 2016-09-16 09:20 |
Tokyo | Koganei Campus, Tokyo University of Agriculture and Technology | HEp-2 cell classification using K-support Spatial Pooling in Deep CNNs Xian-Hua Han (AIST), Yen-Wei Chen (Ritsu. Univ.) MICT2016-33 MI2016-47 |
[more] | MICT2016-33 MI2016-47 pp.1-6 |
| MI, MICT | 2016-09-16 09:40 |
Tokyo | Koganei Campus, Tokyo University of Agriculture and Technology | MICT2016-34 MI2016-48 |
Segmentation of blood vessel method is an important task in the medical image processing. Doing a manual segmentation is... [more] | MICT2016-34 MI2016-48 pp.7-8 |
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