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

Research Project

Project/Area Number 18H03267
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Review Section Basic Section 61010:Perceptual information processing-related
Research InstitutionRitsumeikan University

Principal Investigator

CHEN Yen-Wei  立命館大学, 情報理工学部, 教授 (60236841)

Co-Investigator(Kenkyū-buntansha) 岩本 祐太郎  立命館大学, 情報理工学部, 助教 (30779054)
韓 先花  山口大学, 大学院創成科学研究科, 准教授 (60469195)
古川 顕  東京都立大学, 人間健康科学研究科, 教授 (80199421)
金崎 周造  滋賀医科大学, 医学部, 非常勤講師 (90464180)
Project Period (FY) 2018-04-01 – 2021-03-31
Project Status Completed (Fiscal Year 2022)
Budget Amount *help
¥15,600,000 (Direct Cost: ¥12,000,000、Indirect Cost: ¥3,600,000)
Fiscal Year 2020: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2019: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2018: ¥7,800,000 (Direct Cost: ¥6,000,000、Indirect Cost: ¥1,800,000)
Keywordsテンソルスパース表現法 / 多時相C T画像 / 肝腫瘍性病変 / 時空間特徴抽出 / 類似症例検索 / パイロット試験 / 肝臓腫瘍病変 / 多重線型理論 / スパース符号化法 / 計算機診断支援 / 深層学習 / 肝臓腫瘍の分類 / 多重線型代数 / スパース表現法 / テンソル / 多時相CT画像 / 肝腫瘍性病変症例検索 / 診断支援 / テンソルスパース表現 / 肝臓のセグメンテーション / 鑑別と分類 / 時空間特徴
Outline of Final Research Achievements

The purpose of this research project is to develop a content based medical image retrieval (CBMIR) for assisting radiologists to detect and characterize focal liver lesions (FLLs) using multi-phase CT images. We proposed a tensor sparse representation method, which treats the multi-phase CT image as a tensor, to effectively extract temporal and spatial features of multi-phase CT images to provide doctors medical cases more relevant to the query one. The diagnosis accuracy is improved to more than 90%. We also developed a CBMIR system for clinical use. Furthermore, we conducted a comparative experiments to evaluate the effectiveness of the proposed method. In addition to conventional computer experiments, we also conducted a pilot trial experiments. Six doctors joined our pilot trial and experimental results show that both diagnosis accuracy and confidence were significantly improved by using our system.

Academic Significance and Societal Importance of the Research Achievements

本研究の学術的意義は以下の4点である;①多重線形代数の枠組でテンソルベーススパース表現法を理論的に開発した;②多時相CT画像を一つのテンソルとして取り扱い、テンソルスパース表現法によって時相間の共起を考慮した時空間特徴抽出法を開発した;③世界初肝腫瘍多時相CT画像データベースを構築した;④提案法の有効性の検証に、従来の計算機実験だけではなく医師によるパイロット試験も実施した。また、本研究提案法の確立により、がんをはじめとする様々な疾患の診断精度が向上し、患者の生存率の向上に寄与できることから、社会的な効果は極めて大きい。

Report

(4 results)
  • 2022 Final Research Report ( PDF )
  • 2020 Annual Research Report
  • 2019 Annual Research Report
  • 2018 Annual Research Report
  • Research Products

    (64 results)

All 2023 2022 2021 2020 2019 2018 2017 Other

All Int'l Joint Research (3 results) Journal Article (15 results) (of which Int'l Joint Research: 13 results,  Peer Reviewed: 15 results,  Open Access: 9 results) Presentation (43 results) (of which Int'l Joint Research: 40 results,  Invited: 11 results) Book (2 results) Funded Workshop (1 results)

  • [Int'l Joint Research] 浙江大学計算機学院/浙江大学医学部附属病院(中国)

    • Related Report
      2020 Annual Research Report
  • [Int'l Joint Research] 浙江大学(Zhejiang Univ.)(中国)

    • Related Report
      2019 Annual Research Report
  • [Int'l Joint Research] 浙江大学/東北大学(中国)

    • Related Report
      2018 Annual Research Report
  • [Journal Article] Unsupervised MRI Super-Resolution using Deep External Learning and Guided Residual Dense Network with Multimodal Image Priors2023

    • Author(s)
      Yutaro Iwamoto, Kyohei Takeda, Yinhao Li, Akihiko Shiino, and Yen-Wei Chen
    • Journal Title

      IEEE Transactions on Emerging Topics in Computational Intelligence (Impact Factor: 4.851 )

      Volume: Vol.7, No.2 Issue: 2 Pages: 426-435

    • DOI

      10.1109/tetci.2022.3215137

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Journal Article] MTL-ABS3Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images2022

    • Author(s)
      Huang Huimin、Chen Qingqing、Lin Lanfen、Cai Ming、Zhang Qiaowei、Iwamoto Yutaro、Han Xianhua、Furukawa Akira、Kanasaki Shuzo、Chen Yen-Wei、Tong Ruofeng、Hu Hongjie
    • Journal Title

      IEEE Journal of Biomedical and Health Informatics

      Volume: 26 Issue: 8 Pages: 3988-3998

    • DOI

      10.1109/jbhi.2022.3153406

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Phase Attention Model for Prediction of Early Recurrence of Hepatocellular Carcinoma With Multi-Phase CT Images and Clinical Data2022

    • Author(s)
      Wang Weibin、Wang Fang、Chen Qingqing、Ouyang Shuyi、Iwamoto Yutaro、Han Xianhua、Lin Lanfen、Hu Hongjie、Tong Ruofeng、Chen Yen-Wei
    • Journal Title

      Frontiers in Radiology

      Volume: 2

    • DOI

      10.3389/fradi.2022.856460

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Characterisation of Focal Liver Lesions in Multi-phase CT images Using Textural and Pathological Descriptors2022

    • Author(s)
      Saeed Moslehi; Amir Hossein Foruzan; Yen-Wei Chen, Hongjie Hu
    • Journal Title

      Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization (Impact Factor: 2.269 )

      Volume: Published Online Issue: 4 Pages: 1523-1531

    • DOI

      10.1080/21681163.2022.2156390

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] PA‐ResSeg: A phase attention residual network for liver tumor segmentation from multiphase CT images2021

    • Author(s)
      Xu Yingying、Cai Ming、Lin Lanfen、Zhang Yue、Hu Hongjie、Peng Zhiyi、Zhang Qiaowei、Chen Qingqing、Mao Xiongwei、Iwamoto Yutaro、Han Xian‐Hua、Chen Yen‐Wei、Tong Ruofeng
    • Journal Title

      Medical Physics

      Volume: 48 Issue: 7 Pages: 3752-3766

    • DOI

      10.1002/mp.14922

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Medical Image Segmentation With Deep Atlas Prior2021

    • Author(s)
      Huang Huimin、Zheng Han、Lin Lanfen、Cai Ming、Hu Hongjie、Zhang Qiaowei、Chen Qingqing、Iwamoto Yutaro、Han Xianhua、Chen Yen-Wei、Tong Ruofeng
    • Journal Title

      IEEE Transactions on Medical Imaging

      Volume: 40 Issue: 12 Pages: 3519-3530

    • DOI

      10.1109/tmi.2021.3089661

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] VolumeNet: A Lightweight Parallel Network for Super-Resolution of MR and CT Volumetric Data2021

    • Author(s)
      Yinhao Li, Yutaro Iwamoto, Lanfen Lin, Rui Xu, Ruofeng Tong, Yen-Wei Chen
    • Journal Title

      IEEE Transactions on Image Processing

      Volume: - Pages: 4840-4854

    • DOI

      10.1109/tip.2021.3076285

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] A Preliminary Study of Kinect-Based Real-Time Hand Gesture Interaction Systems for Touchless Visualizations of Hepatic Structures in Surgery2019

    • Author(s)
      Jiaqing LIU, Tomoko TATEYAMA, Yutaro IWAMOTO, Yen-Wei CHEN
    • Journal Title

      Medical Imaging and Information Sciences

      Volume: 36 Issue: 3 Pages: 128-135

    • DOI

      10.11318/mii.36.128

    • NAID

      130007723852

    • ISSN
      0910-1543, 1880-4977
    • Year and Date
      2019-09-30
    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Tensor-based Sparse Representations of Multi-phase Medical Images for Classification of Focal Liver Lesions2019

    • Author(s)
      Jian Wang, Jing Li, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Yingying Xu, Qingqing Chen, Yutaro Iwamoto, Yen-Wei Chen
    • Journal Title

      Pattern Recognition Letter

      Volume: 印刷中 Pages: 207-215

    • DOI

      10.1016/j.patrec.2019.01.001

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Comparison of Machine Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma2019

    • Author(s)
      Panyanat Aonpong, Qingqin Chen, Yutaro Iwamoto, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, and Yen-Wei Chen
    • Journal Title

      Journal of Image and Graphics

      Volume: 7 Issue: 4 Pages: 117-125

    • DOI

      10.18178/joig.7.4.117-125

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Classification and Quantification of Emphysema Using a Multi-Scale Residual Network2019

    • Author(s)
      Liying Peng, Lanfen Lin, Hongjie Hu, Huali Li, Qingqing Chen. Xiaoli Ling, Dan Wang, Xianhua Han, Yutaro Iwamoto and Yen-Wei Chen
    • Journal Title

      IEEE Journal of Biomedical and Health Informatics

      Volume: 23 Issue: 6 Pages: 2526-2536

    • DOI

      10.1109/jbhi.2018.2890045

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Accurate point correspondences using a modified coherent point drift algorithm2019

    • Author(s)
      Mahdi Delavari, Amir Hossein Foruzan, Yen-Wei Chen
    • Journal Title

      Biomedical Signal Processing and Control

      Volume: 52 Pages: 429-444

    • DOI

      10.1016/j.bspc.2017.02.009

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Hybrid Method Combining Superpixel, Random Walk and Active Contour Model for Fast and Accurate Liver Segmentation,2018

    • Author(s)
      Ye Yuan, Yen-Wei Chen, Chunhua Dong, Hai Yu and Zhiliang Zhu
    • Journal Title

      Computeried Medical Imaging and Graphics,

      Volume: Vol.70 Pages: 119-134

    • DOI

      10.1016/j.compmedimag.2018.08.012

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Automatic Liver Segmentation Using U-Net with Wasserstein GANs2018

    • Author(s)
      Yuki Enokiya, Yutaro Iwamoto, Yen-Wei Chen, and Xian-Hua Han
    • Journal Title

      Journal of Image and Graphics

      Volume: 6 Issue: 2 Pages: 152-159

    • DOI

      10.18178/joig.6.2.152-159

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Texture-specific bag of visual words model and spatial cone matching-based method for the retrieval of focal liver lesions using multiphase contrast-enhanced CT images2017

    • Author(s)
      Xu Yingying、Lin Lanfen、Hu Hongjie、Wang Dan、Zhu Wenchao、Wang Jian、Han Xian-Hua、Chen Yen-Wei
    • Journal Title

      International Journal of Computer Assisted Radiology and Surgery

      Volume: 13 Issue: 1 Pages: 151-164

    • DOI

      10.1007/s11548-017-1671-9

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] AIと医用画像解析2022

    • Author(s)
      陳延偉
    • Organizer
      第22回日本術中画像情報学会(特別講演)
    • Related Report
      2020 Annual Research Report
    • Invited
  • [Presentation] ClassFormer: Exploring Class-aware Dependency with Transformer for Medical Image Segmentation2022

    • Author(s)
      Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hong Wang, Yuexiang Li, Yawen Huang, Yefeng Zheng
    • Organizer
      2022 Association for the Advancement of Artificial Intelligence(AAAI 2022)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image Segmentation2022

    • Author(s)
      Huimin Huang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong
    • Organizer
      International Joint Conference on Artificial Intelligence (IJCAI2022)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-lesions2022

    • Author(s)
      He Li, Yutaro Iwamoto, Xianhua Han, Lanfen Lin, Hongjie Hu, Yen-Wei Chen
    • Organizer
      International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images2022

    • Author(s)
      Rahul Kumar JAIN, Takahiro SATO, Taro WATASUE, Tomohiro NAKAGAWA, Yutaro IWAMOTO, Xianhua HAN, Lanfen LIN, Hongjie HU Xiang RUAN, Yen-Wei CHEN
    • Organizer
      44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (IEEE EMBC 2022)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Synthesizing Contrast-Enhanced Computed Tomography Images with an Improved Conditional Generative Adversarial Network2022

    • Author(s)
      Yulin Yang, Caie Xu, Qingqing Chen, Yutaro Iwamoto, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Ruofeng Tong, Yen-Wei Chen
    • Organizer
      44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (IEEE EMBC 2022)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Residual Multilayer Perceptrons for Genotype-Guided Recurrence Prediction of Non-Small Cell Lung Cancer2022

    • Author(s)
      Yang Ai, Panyanat Aonpong, Weibin Wang, Yinhao Li, Yutaro Iwamoto, Xianhua Han, Yen- Wei Chen
    • Organizer
      44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (IEEE EMBC 2022)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Dual Discriminator-Based Unsupervised Domain Adaptation Using Adversarial Learning for Liver Segmentation on Multiphase CT Images2022

    • Author(s)
      Swathi Ananda, Yutaro Iwamoto, Xianhua HAN, Lanfen Lin, Hongjie Hu, Yen-Wei Chen
    • Organizer
      44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (IEEE EMBC 2022)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Mixed Transformer U-Net for Medical Image Segmentation2022

    • Author(s)
      Hongyi Wang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong
    • Organizer
      2022 IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE ICASSP2022)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Deep Learning-based Risk Prediction Model for Recurrence-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Images2022

    • Author(s)
      Weibin Wang, Fang Wang, YunjunYang, YinhaoLi, Jing Liu, Xianhua Han, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Yen-Wei Chen
    • Organizer
      IEEE Global Conference on Consumer Electronics (GCCE2022)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Improved Mask R-CNN with Deformable Convolutions for Accurate Liver Lesion Detection in Multiphase CT Images2022

    • Author(s)
      Chanyu LEE, Yutaro IWAMOTO, Lanfen LIN, Hongjie HU, Yen-Wei CHEN
    • Organizer
      International Conference on Innovation in Medicine and Healthcare (InMed-2022)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Deep Learning for Computer-aided Diagnosis of COVID-192021

    • Author(s)
      Yen-Wei Chen
    • Organizer
      The 28th International Display Workshops (IDW2021)
    • Related Report
      2020 Annual Research Report
    • Invited
  • [Presentation] A Tensor Sparse Representation-Based CBMIR System for Computer-Aided Diagnosis of Focal Liver Lesions and its Pilot Trial2021

    • Author(s)
      Jian Wang, Xian-Hua Han, Lanfen Lin, Hongjie Hu, Yen-Wei Chen
    • Organizer
      ACM International Conference on Multimedia Retrieval 2021 (ICMR 2021)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] M-DFNet: Multi-phase Discriminative Feature Network for Retrieval of Focal Liver Lesions2021

    • Author(s)
      Yingying Xu, Jing Liu, Lanfen Lin, Hongjie Hu, Ruofeng Tong, Jingsong Li, Yen-Wei Chen
    • Organizer
      ACM International Conference on Multimedia Retrieval 2021 (ICMR 2021)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Automatic Detection and Segmentation of Liver Tumors in Multi-Phase CT Images by Phase Attention Mask R-CNN2021

    • Author(s)
      Ryo Hasegawa, Yutaro IWAMOTO, Xianhua HAN, Lanfen LIN, Hongjie HU, Xiujun CAI, Yen-Wei CHEN
    • Organizer
      9th IEEE International Conference on Consumer Electronics (IEEE ICCE2021)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Deep Learning for Computer-aided Diagnosis and Surgery Support2020

    • Author(s)
      Yen-Wei Chen
    • Organizer
      2020 3rd International Conference on Digital Medicine and Image Processing (DMIP2020)
    • Related Report
      2020 Annual Research Report
    • Invited
  • [Presentation] UNET 3+: A Full-Scale Connected UNET for Medical Image Segmentation2020

    • Author(s)
      Huiming Huang, Lanfen Lin, Ruofeng Tong, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xian-Hua Han
    • Organizer
      45th IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Deep Learning Method for Content-Based Retrieval of Focal Liver Lesions Using Multiphase Contrast-Enhanced Computer Tomography Images2020

    • Author(s)
      Yusuke YOSHINOBU, Yutaro IWAMOTO, Xianhua HAN, Lanfen LIN, Hongjie HU, Qiaowei ZHANG, Yen-Wei CHEN
    • Organizer
      38th IEEE International Conference on Consumer Electronics (IEEE ICCE2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Tensor Sparse Coding for Multi-Dimensional Medical Image Analysis2019

    • Author(s)
      Yen-Wei Chen
    • Organizer
      2nd International Conference on Digital Medicine and Image Processing (DMIP2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Tensor-based Multilinear Subspace Learning for Multi-Dimensional Biomedical Image Analysis2019

    • Author(s)
      Yen-Wei Chen
    • Organizer
      2019 2nd International Conference on Image and Video Processing (ICIVP2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Computational Anatomy, Artificial Intelligence and Virtual Reality in Medicine and Healthcare2019

    • Author(s)
      Yen-Wei Chen
    • Organizer
      The 7th IEEE International Conference on Serious Games and Applications for Health (IEEE SeGAH 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Artificial Intelligence in Multi-Dimensional Medical Image Analysis2019

    • Author(s)
      Yen-Wei Chen
    • Organizer
      2019 2nd International Conference on Signal Processing and Machine Learning (SPML2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Tensor-Based Subspace Learning for Classification of Focal Liver Lesions in Multi-phase CT Images2019

    • Author(s)
      Jian Song, Sihang Zhu, Lanfen Lin, Hongjie Hu, Yen-Wei Chen
    • Organizer
      ICNC-FSKD 2019
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior2019

    • Author(s)
      Han Zheng, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong, Jian Wu
    • Organizer
      MICCAI 2019
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A Cascade Attention Network for Liver Lesion Classification in Weakly-Labeled Multi-phase CT Images2019

    • Author(s)
      Xiao Chen, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Ruofeng Tong, Jian Wu
    • Organizer
      MICCAI 2019 workshop (DART/MIL3ID)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic Ct Images2019

    • Author(s)
      Dong Liang, Ruofeng Tong, Jian Wu, Lanfen Lin, Xiao Chen, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen
    • Organizer
      2019 IEEE International Conference on Image Processing (IEEE ICIP 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A Dual-Attention Dilated Residual Network for Liver Lesion Classification and Localization on CT Images2019

    • Author(s)
      Xiao Chen, Lanfen Lin, Dong Liang, Hongjie Hu, Qiaowei Zhang, Yutaro Iwamoto, Xian-Hua Han, Yen-Wei Chen, Ruofeng Tong, Jian Wu
    • Organizer
      2019 IEEE International Conference on Image Processing (IEEE ICIP 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] An Improved Hand Gesture Recognition with Two-Stage Convolutional Neural Networks Using a Hand Color Image and Its Pseudo-Depth Image2019

    • Author(s)
      Jiaqing Liu, Kotaro Furusawa, Tomoko Tateyama, Yutaro Iwamoto, Yen-Wei Chen
    • Organizer
      2019 IEEE International Conference on Image Processing (IEEE ICIP 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Automatic Detection of Focal Liver Lesions in Multi-phase CT Images Using a Multi-channel & Multi-scale CNN2019

    • Author(s)
      Yoshihiro Todoroki, Yutaro Iwamoto, Lanfen Lin, Hongjie Hu, and Yen-Wei Chen
    • Organizer
      The 41st International Engineering in Medicine and Biology Conference (EMBC2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data2019

    • Author(s)
      Weibin WANG, Qingqing CHEN, Yutaro IWAMOTO, Xianhua HAN, Qiaowei ZHANG, Hongjie HU, Lanfen LIN, Yen-Wei CHEN
    • Organizer
      The 41st International Engineering in Medicine and Biology Conference (EMBC2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Computational Anatomy and Artificial Intelligence in Medical Imaging2018

    • Author(s)
      Yen-Wei Chen
    • Organizer
      Smart Digital Future 2018 (SDF2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Deep Learning for Medical Image Analysis2018

    • Author(s)
      Yen-Wei Chen
    • Organizer
      18th Asia Simulation Conference (AsiaSim2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Computational Anatomy and Artificial Intelligence in Medical Imaging2018

    • Author(s)
      Yen-Wei Chen
    • Organizer
      2018 International Conf. on Digital Medicine and Image Processing (DMIP2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Medical Image Analysis with Deep Learning2018

    • Author(s)
      Yen-Wei Chen
    • Organizer
      2018 3rd International Conference on Smart Computing and Informatics (SCI2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-Phase CT Images2018

    • Author(s)
      Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen
    • Organizer
      21st International Conference On Medical Image Computing & Computer Assisted Intervention (MICCAI2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Focal Liver Lesion Classification Based on Tensor Sparse Representations of Multi-Phase CT Images2018

    • Author(s)
      Jian Wang, Xian-Hua Han, Jiande Sun, Lanfen Lin, Hongjie Hu, Yingying Xu, Qingqing Chen, and Yen-Wei Chen
    • Organizer
      Pacific-Rim Conference on Multimedia (PCM) 2018
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Residual Convolutional Neural Networks with Global and Local Pathways for Classification of Focal Liver Lesions2018

    • Author(s)
      Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen, Xianhua Han, Yen-Wei Chen
    • Organizer
      The 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI-2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Classification of Focal Liver Lesions Using Deep Learning with Fine-tuning2018

    • Author(s)
      Weibin Wang, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen, Qingqing Chen, Dong Liang, Lanfen Lin, Hongjie Hu and Qiaowei Zhang
    • Organizer
      International Conference on Digital Medicine and Image Processing (DMIP2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Interactive Liver Segmentation in CT Volumes Using Fully Convolutional Networks2018

    • Author(s)
      Titinunt Kitrungrotsakul,Yutaro Iwamoto, Xian-Hua Han, Xiong Wei, Lanfen Lin, Hongjie Hu, Huiyan Jiang, Yen-Wei Chen
    • Organizer
      International Conference on Innovation in Medicine and Healthcare (InMed2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Abdominal Organs Segmentation based on Multi-path Fully Convolutional Network and Random Forests2018

    • Author(s)
      Yangzi Yang,Huiyan Jiang, Yen-Wei Chen
    • Organizer
      International Conference on Innovation in Medicine and Healthcare (InMed2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Classification of Pulmonary Emphysema in CT Images Based on Multi-scale Deep Convolutional Neural Networks2018

    • Author(s)
      Liying Peng, Lanfen Lin, Hongjie Hu, Huali Li, Xiaoli Ling, Dan Wang, Xianhua Han, Yen-Wei Chen
    • Organizer
      2018 IEEE International Conference on Image Processing (IEEE ICIP 2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Self-taught Learning with Residual Sparse Autoencoders for HEp-2 Cell Staining Pattern Recognition2018

    • Author(s)
      Xian-Hua Han, Jiande Sun, Lanfen Lin and Yen-Wei Chen
    • Organizer
      9th International Workshop on Machine Learning in Medical Imaging (MLMI2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Detection of Liver Tumor Candidates in Multi-Phase CT Images Using Multi-Channel and Multi-Scale CNN2018

    • Author(s)
      Yoshihiro Todoroki, Yutaro Iwamoto1, Lanfen Lin, Hongjie Hu, and Yen-Wei Chen
    • Organizer
      The 14th Joint Workshop on Machine Perception and Robotics (MPR2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Book] Innovation in Medicine and Healthcare2022

    • Author(s)
      Yen-Wei Chen, Satoshi Tanaka, Robert I. Howlett and Lakhmi C. Jain
    • Total Pages
      314
    • Publisher
      Springer
    • ISBN
      9789811934407
    • Related Report
      2020 Annual Research Report
  • [Book] Deep Learning in Healthcare2020

    • Author(s)
      Yen-Wei Chen and Lahmi C. Jain
    • Total Pages
      218
    • Publisher
      Springer
    • ISBN
      9783030326067
    • Related Report
      2020 Annual Research Report
  • [Funded Workshop] RU-DUT Joint Student Workshop on Advanced ICT2019

    • Related Report
      2018 Annual Research Report

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Published: 2018-04-23   Modified: 2024-01-30  

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