IWAMOTO YUTARO

Profile Information

Degree: Ph.D. (Engineering)(Ritsumeikan University)

J-GLOBAL ID: 201701006731214416
researchmap Member ID: 7000020438

Research Interests

Image Processing, Machine Learning, Medical Image Processing

Research Areas

Research History

Apr, 2016 - Mar, 2017

Ritsumeikan University assistant
Apr, 2013 - Nov, 2015

Omron Corporation

Education

- Mar, 2017

Advanced Information Science and Engineering, Graduate School of Information Science and Engineering, Ritsumeikan University
- Mar, 2013

Advanced Information Science and Engineering, Graduate School of Science and Engineering, Ritsumeikan University
- Mar, 2011

Department of Media Technology, College of Information Science and Engineering, Ritsumeikan University

Papers

3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image Segmentation.

He Li, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen 0001

IEICE Transactions on Information & Systems, 106(5) 1027-1037, May, 2023
IDH mutation status prediction by a radiomics associated modality attention network.

Xinran Zhang, Xiaoyu Shi, Yutaro Iwamoto, Jingliang Cheng, Jie Bai, Guohua Zhao, Xian-Hua Han, Yen-Wei Chen 0001

The Visual Computer, 39(6) 2367-2379, 2023
A multi-head pseudo nodes based spatial–temporal graph convolutional network for emotion perception from GAIT

Shurong Chai, Jiaqing Liu, Rahul Kumar Jain, Tomoko Tateyama, Yutaro Iwamoto, Lanfen Lin, Yen-Wei Chen

Neurocomputing, 511 437-447, Oct, 2022
An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-lesions.

He Li, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Yen-Wei Chen 0001

MICCAI (8), 214-223, 2022
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image Segmentation.

Huimin Huang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen 0001, Ruofeng Tong 0001

IJCAI, 964-971, 2022
Synthesizing Contrast-enhanced Computed Tomography Images with an Improved Conditional Generative Adversarial Network.

Yulin Yang, Yutaro Iwamoto, Yen-Wei Chen 0001, Caie Xu, Qingqing Chen, Hongjie Hu, Xian-Hua Han, Ruofeng Tong 0001, Lanfen Lin

EMBC, 2097-2100, 2022
Dual Discriminator-Based Unsupervised Domain Adaptation Using Adversarial Learning for Liver Segmentation on Multiphase CT Images.

Swathi Ananda, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Yen-Wei Chen 0001

EMBC, 1552-1555, 2022
Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images.

Rahul Kumar Jain, Takahiro Sato, Taro Watasue, Tomohiro Nakagawa, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Xiang Ruan, Yen-Wei Chen 0001

EMBC, 1536-1539, 2022
Residual Multilayer Perceptrons for Genotype-Guided Recurrence Prediction of Non-Small Cell Lung Cancer.

Yang Ai, Panyanat Aonpong, Weibin Wang, Yinhao Li, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen 0001

EMBC, 447-450, 2022
MTL-ABS3Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images.

Huimin Huang, Qingqing Chen, Lanfen Lin, Ming Cai, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen 0001 …

IEEE Journal of Biomedical and Health Informatics, 26(8) 3988-3998, 2022
A Weakly-Supervised Anomaly Detection Method via Adversarial Training for Medical Images.

He Li, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Ruofeng Tong 0001, Hongjie Hu, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen 0001

IEEE International Conference on Consumer Electronics(ICCE), 1-4, 2022
Mixed Transformer U-Net for Medical Image Segmentation.

Hongyi Wang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen 0001, Ruofeng Tong 0001

ICASSP, 2390-2394, 2022
Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation.

Shaocong Mo, Ming Cai, Lanfen Lin, Ruofeng Tong 0001, Qingqing Chen, Fang Wang, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen 0001

IEEE Transactions on Circuits and Systems for Video Technology, 32(5) 2512-2526, 2022
Accurate and fast mitotic detection using an anchor-free method based on full-scale connection with recurrent deep layer aggregation in 4D microscopy images.

Titinunt Kitrungrotsakul, Yutaro Iwamoto, Satoko Takemoto, Hideo Yokota, Sari Ipponjima, Tomomi Nemoto, Lanfen Lin, Ruofeng Tong, Jingsong Li, Yen-Wei Chen

BMC bioinformatics, 22(1) 91-91, Feb 26, 2021
3D Graph-S2Net: Shape-Aware Self-ensembling Network for Semi-supervised Segmentation with Bilateral Graph Convolution.

Huimin Huang, Nan Zhou, Lanfen Lin, Hongjie Hu, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen 0001, Ruofeng Tong 0001

Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, 416-427, 2021
Graph-Based Pyramid Global Context Reasoning With a Saliency- Aware Projection for Covid-19 Lung Infections Segmentation.

Huimin Huang, Ming Cai, Lanfen Lin, Jing Zheng, Xiongwei Mao, Xiaohan Qian, Zhiyi Peng, Jianying Zhou 0006, Yutaro Iwamoto, Xian-Hua Han …

IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP), 1050-1054, 2021
Improved Genotype-Guided Deep Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer.

Panyanat Aonpong, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Yen-Wei Chen 0001

EMBC, 3561-3564, 2021
An Efficient and Accurate 3D Multiple-Contextual Semantic Segmentation Network for Medical Volumetric Images.

He Li, Yutaro Iwamoto, Xianhua Han, Akira Furukawa, Shuzo Kanasaki, Yen-Wei Chen 0001

EMBC, 3309-3312, 2021
Medical Image Segmentation With Deep Atlas Prior.

Huimin Huang, Han Zheng, Lanfen Lin, Ming Cai, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen 0001 …

IEEE Transactions on Medical Imaging, 40(12) 3519-3530, 2021
Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer.

Panyanat Aonpong, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Yen-Wei Chen 0001

IEEE Access, 9 90244-90254, 2021

Misc.

Multi-Volume Super Resolution for Mouse MR Images

115(458) 35-39, Feb 22, 2016
Multi-Volume Super Resolution for Mouse MR Images

40(6) 35-39, Feb, 2016
Deep Learning Based 3D Medical Volume Super Resolution

40(6) 29-34, Feb, 2016
Image Super-Resolution using Manifold Learning with Vector Quantization

TANIGUCHI Kazuki, HAN Xian-Hua, IWAMOTO Yutaro, SASATANI So, CHEN Yen-Wei

IEICE technical report., 112(38) 19-24, May 10, 2012
Image Super-Resolution using Manifold Learning with Vector Quantization

TANIGUCHI Kazuki, HAN Xian-Hua, IWAMOTO Yutaro, SASATANI So, CHEN Yen-Wei

IEICE technical report. Image engineering, 112(36) 19-24, May 10, 2012
Image Super-Resolution using Manifold Learning with Vector Quantization

TANIGUCHI Kazuki, HAN Xian-Hua, IWAMOTO Yutaro, SASATANI So, CHEN Yen-Wei

Technical report of IEICE. PRMU, 112(37) 19-24, May 10, 2012
Super-Resolution of Medical Images Based on Hallucination Methods

IWAMOTO Yutaro, HAN Xian-Hua, OHASHI Motonori, SASATANI So, TANIGUCHI Kazuki, CHEN Yen-Wei

IEICE technical report, 111(47) 57-62, May 12, 2011
Super-Resolution of Medical Images Based on Hallucination Methods

IWAMOTO Yutaro, HAN Xian-Hua, OHASHI Motonori, SASATANI So, TANIGUCHI Kazuki, CHEN Yen-Wei

IEICE technical report, 111(49) 57-62, May 12, 2011
Super-Resolution of Medical Images Based on Hallucination Methods

IWAMOTO Yutaro, HAN Xian-Hua, OHASHI Motonori, SASATANI So, TANIGUCHI Kazuki, CHEN Yen-Wei

IEICE technical report, 111(48) 57-62, May 12, 2011
High Frequency Compensated Face Hallucination Method

SASATANI So, HAN Xian-Hua, OHASHI Motonori, IWAMOTO Yutaro, CHEN Yen-Wei

IEICE technical report, 110(382) 323-328, Jan 13, 2011
High Frequency Compensated Face Hallucination Method

SASATANI So, HAN Xian-Hua, OHASHI Motonori, IWAMOTO Yutaro, CHEN Yen-Wei

IEICE technical report, 110(381) 323-328, Jan 13, 2011

Presentations

Automatic Detection of Focal Liver Lesions in Multi-Phase CT Images Using a Multi-Channel and Multi-Scale CNN

2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Jul 23, 2019
Automatic Segmentation of the Paranasal Sinus from Computer Tomography Images Using a Probabilistic Atlas and a Fully Convolutional Network

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul 23, 2019
Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-Phase CT Images and Clinical Data

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jul 23, 2019
A Cascade of CNN and LSTM Network with 3D Anchors for Mitotic Cell Detection in 4D Microscopic Image

2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 12, 2019
Two-Stage YOLOv2 for Accurate License-Plate Detection in Complex Scenes

Proc. of IEEE 37th International Conference on Consumer Electronics, Jan 11, 2019
MaHG-RGBD: A Multi-angle View Hand Gesture RGB-D Dataset for Deep Learning Based Gesture Recognition and Baseline Evaluations

Proc. of IEEE 37th International Conference on Consumer Electronics, Jan 11, 2019
Classification of Focal Liver Lesions Using Deep Learning with Fine-tuning

Proc. of International Conference on Digtal Medicine and Image Processing, Nov 12, 2018
Semi-Automatic Segmentation of Paranasal Sinus from CT images Using Fully Convolutional Networks

Proc. of 2018 IEEE 7th Global Conference on Consumer Electronics, Oct 9, 2018
Interactive Virtual Campus Tour System Using Skeleton Information from Kinect

Proc. of 2018 IEEE 7th Global Conference on Consumer Electronic, Oct 9, 2018
Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-Phase CT Images

Proc. of 21st International Conference on Medical Image Computing & Computer Assisted Intervention, Sep 16, 2018
Classification of Pulmonary Emphysema in CT Images Based on Multi-Scale Deep Convolutional Neural Networks

2018 25th IEEE International Conference on Image Processing, Sep 6, 2018
Fast Dark Channel Prior Based Haze Removal from a Single Image

The 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD2018), Jul 28, 2018
Adversarial U-Net for Liver Segmentation

電子情報通信学会技術報告書, Vol. 117, No. 518, MI2017-85, pp.67-68., Mar 19, 2018
Reconstruction of micro CT-like images from clinical CT based on machine learning: a preliminary study

SPIE Medical Imaging2018, Feb 14, 2018
Fast super-resolution with iterative guided back projection for 3D MR images

SPIE Medical Imaging 2018, Feb 12, 2018
Multi-Frame Super Resolution Using Frame Selection and Multiple Fusion for 250 Million Pixel Images

IEEE International Conference on Consumer Electronics, Jan 12, 2018
2段階YOLOv2を用いた極小サイズのナンバープレート検出

ビジョン技術の実利用ワークショップ(ViEW2017), IS2-A1, Dec 7, 2017
深層学習技術を用いたCT画像からの肝臓腫瘍候補の検出

第8回横幹連合コンファレンス, Dec 2, 2017
L字スクリーンとKinectを用いた体感型VRキャンパス案内システム

平成29年度電気関係学会関西連合大会, G12-4, Nov 25, 2017
深層学習を用いたラクナ梗塞初期候補検出

平成29年電気関係学会関西連合大会G12-8, Nov 25, 2017

Teaching Experience

Professional Memberships

The Institute of Electronics, Information and Communication Engineers

Research Projects

弱教師深層学習と計算解剖モデルの統合による肝臓がんの診断支援

科学研究費助成事業, 国際共同研究加速基金(国際共同研究強化(B)), 日本学術振興会, Oct, 2020 - Mar, 2026

陳延偉, 岩本祐太郎, 韓先花, 古川顕, 金崎周造, 西川郁子
Weakly-Supervised Differentiation of Focal Liver Lesions Using Phase-Attention Net

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, Apr, 2021 - Mar, 2025
インタラクティブ深層学習モデルによる小児水頭症の高精度脳室セグメンテーション

科学研究費助成事業, 若手研究, 日本学術振興会, Apr, 2021 - Mar, 2024

岩本祐太郎
Lightweight 3D Deep Learning Network for Computer-Aided Diagnosis of Liver Lesions

Grants-in-Aid for Scientific Research, Grant-in-Aid for Challenging Research (Exploratory), Japan Society for the Promotion of Science, Jul, 2020 - Mar, 2023
Super-Resolution and Segmentation of 3D Brain MR images using Multi-Channel data

Grants-in-Aid for Scientific Research, Grant-in-Aid for Early-Career Scientists, Japan Society for the Promotion of Science, Apr, 2018 - Mar, 2021

Iwamoto Yutaro
Tensor Sparse Coding for Temporal and Spatial Feature Extraction and Classification of Liver Lesions in Multi-phase CT Images

Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Japan Society for the Promotion of Science, Apr, 2018 - Mar, 2021
マルチチャンネルを用いた三次元脳MR画像の高精細化と高精度なセグメンテーション

研究推進プログラム(科研費獲得推進型), Sep, 2016 - Mar, 2017

Profile Information

Research Interests

Research Areas

Research History

Education

Papers

Misc.

Presentations

Teaching Experience

Professional Memberships

Research Projects

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