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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 25  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2022-07-08
(Primary: On-site, Secondary: Online)
[Short Paper] Automatic Cell Tracking in 4D Arabidopsis Root 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.) MI2022-34
Single-particle tracking (SPT) is a crucial progress to discover unknown principles of plants. Through accurate tracking... [more] MI2022-34
MI 2022-07-08
(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
MI 2022-07-08
(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
MI 2022-07-08
(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
PRMU 2021-12-16
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
PRMU 2021-12-17
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
MI 2021-07-09
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
PRMU 2020-12-18
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
PRMU 2020-10-09
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
MI 2020-09-03
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
MI 2020-09-03
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
MI 2020-09-03
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
MI 2020-09-03
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
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2019-02-20
Hokkaido Hokkaido Univ. [Invited Talk] Two-Stage YOLOv2 for Accurate License-Plate Detection in Complex Scenes
Shohei Yonetsu, Yutaro Iwamoto, Chen Yen-Wei (Ritsumeikan Univ.)
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-21
Fukuoka   [Short Paper] Automatic Segmentation of Epicardial Using Deep Learning
Ziyu Zhao, Tomoe Otoishi, Yutaro Iwamoto (Ritsumei Univ), Youji Tetsuka, Yuki Okada, Kiyosumi Maeda, Atsuyuki Wada, Atsunori Kashiwagi (Kusatsu General Hospita), Yanwei Chen (Ritsumei Univ) PRMU2018-55 IBISML2018-32
The epicardial is a wall sac containing the heart and the roots of the great vessels. Epicardial adipose tissue adhere t... [more] PRMU2018-55 IBISML2018-32
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-21
Fukuoka   [Short Paper] Kinect RGB-D Hand Gesture Image Database for Deep Learning-Based Gesture Recognition
Jiaqing Liu, Kotaro Furusawa, Seiju Tsujinaga (Ritsu), Tomoko Tateyama (Hiroshima), Yutaro Iwamoto, YenWei Chen (Ritsu) PRMU2018-58 IBISML2018-35
We present a new dataset named the MaHG-RGBD, a multi-angle view hand gesture for deep learning-based gesture recognitio... [more] PRMU2018-58 IBISML2018-35
(Joint) [detail]
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
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2018-02-16
Hokkaido Hokkaido Univ. [Invited Talk] Multi-Frame Super Resolution Using Frame Selection and Multiple Fusion for 250 Million Pixel Images -- ICCE2018特集 --
Yinhao Li, Yutaro Iwamoto (Ritsumeikan Univ.), Ogawa Katsuhisa (Canon), Chen Yen-Wei (Ritsumeikan Univ.)
PRMU, IE, MI, SIP 2017-05-25
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
MI, MICT 2016-09-16
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
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