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• unicode name:岩本 祐太郎
• affiliation:Ritsumeikan University, Graduate School of Information Science and Engineering, Kusatsu, Japan

• 2026
• 
  [j25]
  He Li,Yutaro Iwamoto,Xianhua Han,Lanfen Lin,Ruofeng Tong,Hongjie Hu,Shuzo Kanasaki,Yen-Wei Chen:
  Weakly-Supervised Liver Lesion Detection in CT Images Using Adversarial Networks.IEEE Trans. Emerg. Top. Comput. Intell.10(1):231-242 (2026)
• 2025
• 
  [j24]
  Yu Song,Tatsuaki Goh,Yinhao Li,Jiahua Dong,Shunsuke Miyashima,Yutaro Iwamoto,Yohei Kondo,Keiji Nakajima,Yenwei Chen:
  Accurate Tracking of Arabidopsis Root Cortex Cell Nuclei in 3D Time-Lapse Microscopy Images Based on Genetic Algorithm.IEEE Trans. Comput. Biol. Bioinform.22(6):3260-3272 (2025)
• 
  [i13]
  Yu Song,Tatsuaki Goh,Yinhao Li,Jiahua Dong,Shunsuke Miyashima,Yutaro Iwamoto,Yohei Kondo,Keiji Nakajima,Yenwei Chen:
  Accurate Tracking of Arabidopsis Root Cortex Cell Nuclei in 3D Time-Lapse Microscopy Images Based on Genetic Algorithm.CoRRabs/2504.12676 (2025)
• 2024
• 
  [j23]
  Rahul Kumar Jain,Takahiro Sato,Ahmed M. El-Sayed,Taro Watasue,Tomohiro Nakagawa,Yutaro Iwamoto,Xiang Ruan,Yen-Wei Chen:
  Unsupervised Logo Detection Using Adversarial Learning From Synthetic to Real Images.IEEE Trans. Emerg. Top. Comput. Intell.8(1):710-723 (2024)
• 
  [j22]
  Yulin Yang,Qingqing Chen,Yinhao Li,Fang Wang,Xian-Hua Han,Yutaro Iwamoto,Jing Liu,Lanfen Lin,Hongjie Hu,Yen-Wei Chen:
  Segmentation Guided Crossing Dual Decoding Generative Adversarial Network for Synthesizing Contrast-Enhanced Computed Tomography Images.IEEE J. Biomed. Health Informatics28(8):4737-4750 (2024)
• 
  [c77]
  Hidemasa Hayashi,Yutaro Iwamoto,Masahiro Nonaka,Yen-Wei Chen:
  A Multi-path Global and Local Cycle GAN for Enhancing CT Brain Image Synthesis from MR Brain Images.GCCE2024:1065-1068
• 2023
• 
  [j21]
  He Li,Yutaro Iwamoto,Xianhua Han,Lanfen Lin,Akira Furukawa,Shuzo Kanasaki,Yen-Wei Chen:
  3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image Segmentation.IEICE Trans. Inf. Syst.106(5):1027-1037 (2023)
• 
  [j20]
  Yutaro Iwamoto,Kyohei Takeda,Yinhao Li,Akihiko Shiino,Yen-Wei Chen:
  Unsupervised MRI Super Resolution Using Deep External Learning and Guided Residual Dense Network With Multimodal Image Priors.IEEE Trans. Emerg. Top. Comput. Intell.7(2):426-435 (2023)
• 
  [j19]
  Xinran Zhang,Xiaoyu Shi,Yutaro Iwamoto,Jingliang Cheng,Jie Bai,Guohua Zhao,Xian-Hua Han,Yen-Wei Chen:
  IDH mutation status prediction by a radiomics associated modality attention network.Vis. Comput.39(6):2367-2379 (2023)
• 
  [c76]
  Rahul Kumar Jain,Takahiro Sato,Ahmed M. El-Sayed,Taro Watasue,Tomohiro Nakagawa,Yutaro Iwamoto,Yinhao Li,Xianhua Han,Lanfen Lin,Hongjie Hu,Xiang Ruan,Yen-Wei Chen:
  Unsupervised Domain Adaptation Using Fourier Phase Enhanced Training Images for Liver Tumors Detection in Multi-phase CT Images.EMBC2023:1-4
• 
  [c75]
  Hikari Maeda,Yutaro Iwamoto,Masahiro Nonaka,Yinhao Li,Yen-Wei Chen:
  A Multi-View Weighted Fusion Model for Segmentation of Infant Brain Ventricles with Hydrocephalus in MRI.GCCE2023:727-730
• 
  [c74]
  Kazuki Takamiya,Yutaro Iwamoto,Masahiro Nonaka,Yen-Wei Chen:
  CT Brain Image Synthesization from MRI Brain Images Using CycleGAN.ICCE2023:1-4
• 2022
• 
  [j18]
  Shurong Chai,Jiaqing Liu,Rahul Kumar Jain,Tomoko Tateyama,Yutaro Iwamoto,Lanfen Lin,Yen-Wei Chen:
  A multi-head pseudo nodes based spatial-temporal graph convolutional network for emotion perception from GAIT.Neurocomputing511:437-447 (2022)
• 
  [j17]
  Shaocong Mo,Ming Cai,Lanfen Lin,Ruofeng Tong,Qingqing Chen,Fang Wang,Hongjie Hu,Yutaro Iwamoto,Xian-Hua Han,Yen-Wei Chen:
  Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation.IEEE Trans. Circuits Syst. Video Technol.32(5):2512-2526 (2022)
• 
  [j16]
  Huimin Huang,Qingqing Chen,Lanfen Lin,Ming Cai,Qiaowei Zhang,Yutaro Iwamoto,Xianhua Han,Akira Furukawa,Shuzo Kanasaki,Yen-Wei Chen,Ruofeng Tong,Hongjie Hu:
  MTL-ABS³Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images.IEEE J. Biomed. Health Informatics26(8):3988-3998 (2022)
• 
  [c73]
  Xiaoyu Shi,Xinran Zhang,Yutaro Iwamoto,Jingliang Cheng,Jie Bai,Guohua Zhao,Yen-Wei Chen:
  An Intra- and Inter-Modality Fusion Model Using MR Images for Prediction of Glioma Isocitrate Dehydrogenase (IDH) Mutation.EMBC2022:198-202
• 
  [c72]
  Yang Ai,Panyanat Aonpong,Weibin Wang,Yinhao Li,Yutaro Iwamoto,Xianhua Han,Yen-Wei Chen:
  Residual Multilayer Perceptrons for Genotype-Guided Recurrence Prediction of Non-Small Cell Lung Cancer.EMBC2022:447-450
• 
  [c71]
  Rahul Kumar Jain,Takahiro Sato,Taro Watasue,Tomohiro Nakagawa,Yutaro Iwamoto,Xianhua Han,Lanfen Lin,Hongjie Hu,Xiang Ruan,Yen-Wei Chen:
  Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images.EMBC2022:1536-1539
• 
  [c70]
  Swathi Ananda,Yutaro Iwamoto,Xianhua Han,Lanfen Lin,Hongjie Hu,Yen-Wei Chen:
  Dual Discriminator-Based Unsupervised Domain Adaptation Using Adversarial Learning for Liver Segmentation on Multiphase CT Images.EMBC2022:1552-1555
• 
  [c69]
  Yulin Yang,Yutaro Iwamoto,Yen-Wei Chen,Caie Xu,Qingqing Chen,Hongjie Hu,Xian-Hua Han,Ruofeng Tong,Lanfen Lin:
  Synthesizing Contrast-enhanced Computed Tomography Images with an Improved Conditional Generative Adversarial Network.EMBC2022:2097-2100
• 
  [c68]
  Tomoya Komiyama,Yinhao Li,Yen-Wei Chen,Yu Song,Yutaro Iwamoto:
  Three Dimensional Microscope Image Super-resolution Using Deep Learning and Self-similarity.GCCE2022:637-640
• 
  [c67]
  Kazuma Okada,Yutaro Iwamoto,Yinhao Li,Yen-Wei Chen:
  Automatic Reference Image Selection Approach for Reference-Based Image Super-Resolution.GCCE2022:641-644
• 
  [c66]
  Masaya Okano,Jiaqing Liu,Tomoko Tateyama,Yutaro Iwamoto,Yen-Wei Chen:
  Accurate Hand Gesture Recognition Using Color and Depth Images with Modality-invariant Fusion.GCCE2022:645-648
• 
  [c65]
  Hongyi Wang,Shiao Xie,Lanfen Lin,Yutaro Iwamoto,Xian-Hua Han,Yen-Wei Chen,Ruofeng Tong:
  Mixed Transformer U-Net for Medical Image Segmentation.ICASSP2022:2390-2394
• 
  [c64]
  Hikari Jinbo,Yutaro Iwamoto,Masahiro Nonaka,Yen-Wei Chen:
  Automatic Segmentation of Infant Brain Ventricles with Hydrocephalus in MRI Based on Deep Multi-path Learning.ICCE2022:1-4
• 
  [c63]
  Mizuki Kato,Yutaro Iwamoto,Yen-Wei Chen,Toru Aiba,Toshitaka Sugimoto:
  Fault Detection of Electric Motor Coil by YOLOv3 with Spatial Attention.ICCE2022:1-4
• 
  [c62]
  Toshiki Kawahara,Akitoshi Inoue,Yutaro Iwamoto,Bolorkh Batsaikhan,Svohei Chatani,Akira Furukawa,Yen-Wei Chen:
  Identification of Peritonitis Using Two-Stream Deep Spatial-Temporal Convolutional Networks.ICCE2022:1-4
• 
  [c61]
  He Li,Yutaro Iwamoto,Xianhua Han,Lanfen Lin,Ruofeng Tong,Hongjie Hu,Akira Furukawa,Shuzo Kanasaki,Yen-Wei Chen:
  A Weakly-Supervised Anomaly Detection Method via Adversarial Training for Medical Images.ICCE2022:1-4
• 
  [c60]
  So Sasatani,Yutaro Iwamoto,Yen-Wei Chen:
  Frame Attention Recurrent Back-Projection Network for Accurate Video Super-Resolution.ICCE2022:1-5
• 
  [c59]
  Gan Zhan,Yutaro Iwamoto,Yen-Wei Chen:
  HyperUNet for Medical Hyperspectral Image Segmentation on a Choledochal Database.ICCE2022:1-5
• 
  [c58]
  Huimin Huang,Shiao Xie,Lanfen Lin,Yutaro Iwamoto,Xian-Hua Han,Yen-Wei Chen,Ruofeng Tong:
  ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise 
Perspective for Medical Image Segmentation.IJCAI2022:964-971
• 
  [c57]
  Toshiki Kawahara,Akitoshi Inoue,Yutaro Iwamoto,Bolorkh Batsaikhan,Svohei Chatani,Akira Furukawa,Yen-Wei Chen:
  Computer-aided Diagnosis of Peritonitis Using Two-Stream Attention Deep Convolutional Network.LifeTech2022:320-324
• 
  [c56]
  He Li,Yutaro Iwamoto,Xianhua Han,Lanfen Lin,Hongjie Hu,Yen-Wei Chen:
  An Accurate Unsupervised Liver Lesion Detection Method Using Pseudo-lesions.MICCAI (8)2022:214-223
• 
  [i12]
  Yinhao Li,Yutaro Iwamoto,Ryousuke Nakamura,Lanfen Lin,Ruofeng Tong,Yen-Wei Chen:
  Efficient and Accurate Hyperspectral Pansharpening Using 3D VolumeNet and 2.5D Texture Transfer.CoRRabs/2203.03951 (2022)
• 
  [i11]
  Huimin Huang,Shiao Xie,Lanfen Lin,Yutaro Iwamoto,Xianhua Han,Yen-Wei Chen,Ruofeng Tong:
  ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image Segmentation.CoRRabs/2207.14552 (2022)
• 
  [i10]
  Hongyi Wang,Lanfen Lin,Hongjie Hu,Qingqing Chen,Yinhao Li,Yutaro Iwamoto,Xian-Hua Han,Yen-Wei Chen,Ruofeng Tong:
  Super-Resolution Based Patch-Free 3D Medical Image Segmentation with Self-Supervised Guidance.CoRRabs/2210.14645 (2022)
• 2021
• 
  [j15]
  Panyanat Aonpong,Yutaro Iwamoto,Xian-Hua Han,Lanfen Lin,Yen-Wei Chen:
  Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer.IEEE Access9:90244-90254 (2021)
• 
  [j14]
  Titinunt Kitrungrotsakul,Yutaro Iwamoto,Satoko Takemoto,Hideo Yokota,Sari Ipponjima,Tomomi Nemoto,Lanfen Lin,Ruofeng Tong,Jingsong Li,Yen-Wei Chen:
  Accurate and fast mitotic detection using an anchor-free method based on full-scale connection with recurrent deep layer aggregation in 4D microscopy images.BMC Bioinform.22(1):91 (2021)
• 
  [j13]
  Yu Song,Xu Qiao,Yutaro Iwamoto,Yen-Wei Chen,Yili Chen:
  An Efficient Deep Learning Based Coarse-to-Fine Cephalometric Landmark Detection Method.IEICE Trans. Inf. Syst.104-D(8):1359-1366 (2021)
• 
  [j12]
  Titinunt Kitrungrotsakul,Xian-Hua Han,Yutaro Iwamoto,Satoko Takemoto,Hideo Yokota,Sari Ipponjima,Tomomi Nemoto,Wei Xiong,Yen-Wei Chen:
  A Cascade of 2.5D CNN and Bidirectional CLSTM Network for Mitotic Cell Detection in 4D Microscopy Image.IEEE ACM Trans. Comput. Biol. Bioinform.18(2):396-404 (2021)
• 
  [j11]
  Yinhao Li,Yutaro Iwamoto,Lanfen Lin,Rui Xu,Ruofeng Tong,Yen-Wei Chen:
  VolumeNet: A Lightweight Parallel Network for Super-Resolution of MR and CT Volumetric Data.IEEE Trans. Image Process.30:4840-4854 (2021)
• 
  [j10]
  Titinunt Kitrungrotsakul,Qingqing Chen,Huitao Wu,Yutaro Iwamoto,Hongjie Hu,Wenchao Zhu,Chao Chen,Fangyi Xu,Yong Zhou,Lanfen Lin,Ruofeng Tong,Jingsong Li,Yen-Wei Chen:
  Attention-RefNet: Interactive Attention Refinement Network for Infected Area Segmentation of COVID-19.IEEE J. Biomed. Health Informatics25(7):2363-2373 (2021)
• 
  [j9]
  Huimin Huang,Han Zheng,Lanfen Lin,Ming Cai,Hongjie Hu,Qiaowei Zhang,Qingqing Chen,Yutaro Iwamoto,Xianhua Han,Yen-Wei Chen,Ruofeng Tong:
  Medical Image Segmentation With Deep Atlas Prior.IEEE Trans. Medical Imaging40(12):3519-3530 (2021)
• 
  [c55]
  He Li,Yutaro Iwamoto,Xianhua Han,Akira Furukawa,Shuzo Kanasaki,Yen-Wei Chen:
  An Efficient and Accurate 3D Multiple-Contextual Semantic Segmentation Network for Medical Volumetric Images.EMBC2021:3309-3312
• 
  [c54]
  Panyanat Aonpong,Yutaro Iwamoto,Xian-Hua Han,Lanfen Lin,Yen-Wei Chen:
  Improved Genotype-Guided Deep Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer.EMBC2021:3561-3564
• 
  [c53]
  Shurong Chai,Jiaqing Liu,Tomoko Tateyama,Yutaro Iwamoto,Yen-Wei Chen:
  An Improved Conditional Generative Adversarial Network for Translating Depth Image from Color Image and Accurate Hand Gesture Recognition.GCCE2021:789-792
• 
  [c52]
  Huimin Huang,Ming Cai,Lanfen Lin,Jing Zheng,Xiongwei Mao,Xiaohan Qian,Zhiyi Peng,Jianying Zhou,Yutaro Iwamoto,Xian-Hua Han,Yen-Wei Chen,Ruofeng Tong:
  Graph-Based Pyramid Global Context Reasoning With a Saliency- Aware Projection for Covid-19 Lung Infections Segmentation.ICASSP2021:1050-1054
• 
  [c51]
  Ryo Hasegawa,Yutaro Iwamoto,Xianhua Han,Lanfen Lin,Hongjie Hu,Xiujun Cai,Yen-Wei Chen:
  Automatic Detection and Segmentation of Liver Tumors in Multi- phase CT Images by Phase Attention Mask R-CNN.ICCE2021:1-5
• 
  [c50]
  Rahul Kumar Jain,Taro Watasue,Tomohiro Nakagawa,Takahiro Sato,Yutaro Iwamoto,Xiang Ruan,Yen-Wei Chen:
  LogoNet: Layer-Aggregated Attention CenterNet for Logo Detection.ICCE2021:1-6
• 
  [c49]
  Yu Song,Xu Qiao,Yutaro Iwamoto,Yen-Wei Chen:
  A Teacher-Student Learning Based On Composed Ground-Truth Images For Accurate Cephalometric Landmark Detection.ICIP2021:3777-3781
• 
  [c48]
  Hongyi Wang,Lanfen Lin,Hongjie Hu,Qingqing Chen,Yinhao Li,Yutaro Iwamoto,Xian-Hua Han,Yen-Wei Chen,Ruofeng Tong:
  Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance.MICCAI (1)2021:131-141
• 
  [c47]
  Huimin Huang,Nan Zhou,Lanfen Lin,Hongjie Hu,Yutaro Iwamoto,Xian-Hua Han,Yen-Wei Chen,Ruofeng Tong:
  3D Graph-S²Net: Shape-Aware Self-ensembling Network for Semi-supervised Segmentation with Bilateral Graph Convolution.MICCAI (2)2021:416-427
• 
  [i9]
  Yingying Xu,Ming Cai,Lanfen Lin,Yue Zhang,Hongjie Hu,Zhiyi Peng,Qiaowei Zhang,Qingqing Chen,Xiongwei Mao,Yutaro Iwamoto,Xian-Hua Han,Yen-Wei Chen,Ruofeng Tong:
  PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images.CoRRabs/2103.00274 (2021)
• 
  [i8]
  Huimin Huang,Ming Cai,Lanfen Lin,Jing Zheng,Xiongwei Mao,Xiaohan Qian,Zhiyi Peng,Jianying Zhou,Yutaro Iwamoto,Xian-Hua Han,Yen-Wei Chen,Ruofeng Tong:
  Graph-based Pyramid Global Context Reasoning with a Saliency-aware Projection for COVID-19 Lung Infections Segmentation.CoRRabs/2103.04235 (2021)
• 
  [i7]
  Panyanat Aonpong,Yutaro Iwamoto,Xian-Hua Han,Lanfen Lin,Yen-Wei Chen:
  Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small-Cell Lung Cancer.CoRRabs/2104.14420 (2021)
• 
  [i6]
  Hongyi Wang,Shiao Xie,Lanfen Lin,Yutaro Iwamoto,Xian-Hua Han,Yen-Wei Chen,Ruofeng Tong:
  Mixed Transformer U-Net For Medical Image Segmentation.CoRRabs/2111.04734 (2021)
• 2020
• 
  [j8]
  Weibin Wang,Qingqing Chen,Yutaro Iwamoto,Panyanat Aonpong,Lanfen Lin,Hongjie Hu,Qiaowei Zhang,Yen-Wei Chen:
  Deep Fusion Models of Multi-Phase CT and Selected Clinical Data for Preoperative Prediction of Early Recurrence in Hepatocellular Carcinoma.IEEE Access8:139212-139220 (2020)
• 
  [j7]
  Dong Liang,Yingying Xu,Lanfen Lin,Nan Zhou,Hongjie Hu,Qiaowei Zhang,Qingqing Chen,Xianhua Han,Yutaro Iwamoto,Yen-Wei Chen:
  CasCRNN-GL-Net: cascaded convolutional and recurrent neural networks with global and local pathways for classification of focal liver lesions in multi-phase CT images.Commun. Inf. Syst.20(4):415-442 (2020)
• 
  [j6]
  Yinhao Li,Katsuhisa Ogawa,Yutaro Iwamoto,Yen-Wei Chen:
  Novel image restoration method based on multi-frame super-resolution for atmospherically distorted images.IET Image Process.14(1):168-175 (2020)
• 
  [j5]
  Titinunt Kitrungrotsakul,Xian-Hua Han,Yutaro Iwamoto,Satoko Takemoto,Hideo Yokota,Sari Ipponjima,Tomomi Nemoto,Wei Xiong,Yen-Wei Chen:
  An end-to-end CNN and LSTM network with 3D anchors for mitotic cell detection in 4D microscopic images and its parallel implementation on multiple GPUs.Neural Comput. Appl.32(10):5669-5679 (2020)
• 
  [j4]
  Jian Wang,Jing Li,Xian-Hua Han,Lanfen Lin,Hongjie Hu,Yingying Xu,Qingqing Chen,Yutaro Iwamoto,Yen-Wei Chen:
  Tensor-based sparse representations of multi-phase medical images for classification of focal liver lesions.Pattern Recognit. Lett.130:207-215 (2020)
• 
  [j3]
  Liying Peng,Lanfen Lin,Hongjie Hu,Yue Zhang,Huali Li,Yutaro Iwamoto,Xian-Hua Han,Yen-Wei Chen:
  Semi-Supervised Learning for Semantic Segmentation of Emphysema With Partial Annotations.IEEE J. Biomed. Health Informatics24(8):2327-2336 (2020)
• 
  [c46]
  Yinhao Li,Yutaro Iwamoto,Lanfen Lin,Yen-Wei Chen:
  Parallel-Connected Residual Channel Attention Network for Remote Sensing Image Super-Resolution.ACCV Workshops2020:18-30
• 
  [c45]
  Yuan Zhuang,Lanfen Lin,Ruofeng Tong,Jiaqing Liu,Yutaro Iwamoto,Yen-Wei Chen:
  G-GCSN: Global Graph Convolution Shrinkage Network for Emotion Perception from Gait.ACCV Workshops2020:46-57
• 
  [c44]
  Toshiki Kawahara,Yinhao Li,Yutaro Iwamoto,Lanfen Lin,Yen-Wei Chen:
  A Lightweight Deep Network for 3D Medical Image Segmentation.GCCE2020:663-666
• 
  [c43]
  Hikari Jinbo,Titinunt Kitrungrotsakul,Yutaro Iwamoto,Lanfen Lin,Hongjie Hu,Yen-Wei Chen:
  Development of an Interactive Semantic Medical Image Segmentation System.GCCE2020:678-681
• 
  [c42]
  Huimin Huang,Lanfen Lin,Ruofeng Tong,Hongjie Hu,Qiaowei Zhang,Yutaro Iwamoto,Xianhua Han,Yen-Wei Chen,Jian Wu:
  UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation.ICASSP2020:1055-1059
• 
  [c41]
  Kyohei Takeda,Yutaro Iwamoto,Yen-Wei Chen:
  Color Guided Depth Map Super-Resolution based on a Deep Self-Learning Approach.ICCE2020:1-4
• 
  [c40]
  Yusuke Yoshinobu,Yutaro Iwamoto,Xianhua Han,Lanfen Lin,Hongjie Hu,Qiaowei Zhang,Yen-Wei Chen:
  Deep Learning Method for Content-Based Retrieval of Focal Liver Lesions Using Multiphase Contrast-Enhanced Computer Tomography Images.ICCE2020:1-4
• 
  [c39]
  Huimin Huang,Lanfen Lin,Ruofeng Tong,Hongjie Hu,Qiaowei Zhang,Yutaro Iwamoto,Xianhua Han,Yen-Wei Chen,Jian Wu:
  WNET: An End-to-End Atlas-Guided and Boundary-Enhanced Network for Medical Image Segmentation.ISBI2020:763-766
• 
  [c38]
  Ryo Hasegawa,Yutaro Iwamoto,Lanfen Lin,Hongjie Hu,Yen-Wei Chen:
  Automatic Segmentation of Liver Tumor in Multiphase CT Images by Mask R-CNN.LifeTech2020:231-234
• 
  [c37]
  Shaocong Mo,Ming Cai,Lanfen Lin,Ruofeng Tong,Qingqing Chen,Fang Wang,Hongjie Hu,Yutaro Iwamoto,Xian-Hua Han,Yen-Wei Chen:
  Multimodal Priors Guided Segmentation of Liver Lesions in MRI Using Mutual Information Based Graph Co-Attention Networks.MICCAI (4)2020:429-438
• 
  [i5]
  Huimin Huang,Lanfen Lin,Ruofeng Tong,Hongjie Hu,Qiaowei Zhang,Yutaro Iwamoto,Xianhua Han,Yen-Wei Chen,Jian Wu:
  UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation.CoRRabs/2004.08790 (2020)
• 
  [i4]
  Titinunt Kitrungrotsakul,Yutaro Iwamoto,Lanfen Lin,Ruofeng Tong,Jingsong Li,Yen-Wei Chen:
  Interactive Deep Refinement Network for Medical Image Segmentation.CoRRabs/2006.15320 (2020)
• 
  [i3]
  Yutaro Iwamoto,Kyohei Takeda,Yinhao Li,Akihiko Shiino,Yen-Wei Chen:
  Unsupervised MRI Super-Resolution using Deep External Learning and Guided Residual Dense Network with Multimodal Image Priors.CoRRabs/2008.11921 (2020)
• 
  [i2]
  Yinhao Li,Yutaro Iwamoto,Lanfen Lin,Rui Xu,Yen-Wei Chen:
  VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data.CoRRabs/2010.08357 (2020)

• 2019
• 
  [j2]
  Titinunt Kitrungrotsakul,Xian-Hua Han,Yutaro Iwamoto,Lanfen Lin,Amir Hossein Foruzan,Wei Xiong,Yen-Wei Chen:
  VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation.Comput. Medical Imaging Graph.75:74-83 (2019)
• 
  [j1]
  Liying Peng,Yen-Wei Chen,Lanfen Lin,Hongjie Hu,Huali Li,Qingqing Chen,Xiaoli Ling,Dan Wang,Xianhua Han,Yutaro Iwamoto:
  Classification and Quantification of Emphysema Using a Multi-Scale Residual Network.IEEE J. Biomed. Health Informatics23(6):2526-2536 (2019)
• 
  [c36]
  Yoshihiro Todoroki,Yutaro Iwamoto,Lanfen Lin,Hongjie Hu,Yen-Wei Chen:
  Automatic Detection of Focal Liver Lesions in Multi-phase CT Images Using A Multi-channel & Multi-scale CNN.EMBC2019:872-875
• 
  [c35]
  Yutaro Iwamoto,Kun Xiong,Takahiro Kitamura,Xian-Hua Han,Naoki Matsushiro,Hiroshi Nishimura,Yen-Wei Chen:
  Automatic Segmentation of the Paranasal Sinus from Computer Tomography Images Using a Probabilistic Atlas and a Fully Convolutional Network.EMBC2019:2789-2792
• 
  [c34]
  Weibin Wang,Qingqing Chen,Yutaro Iwamoto,Xianhua Han,Qiaowei Zhang,Hongjie Hu,Lanfen Lin,Yen-Wei Chen:
  Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data.EMBC2019:4881-4884
• 
  [c33]
  Ryo Hasegawa,Yutaro Iwamoto,Yen-Wei Chen:
  Robust Detection and Recognition of Japanese Traffic Sign in the Complex Scenes Based on Deep Learning.GCCE2019:575-578
• 
  [c32]
  Titinunt Kitrungrotsakul,Yutaro Iwamoto,Xian-Hua Han,Satoko Takemoto,Hideo Yokota,Sari Ipponjima,Tomomi Nemoto,Xiong Wei,Yen-Wei Chen:
  A Cascade of CNN and LSTM Network with 3D Anchors for Mitotic Cell Detection in 4D Microscopic Image.ICASSP2019:1239-1243
• 
  [c31]
  Jiaqing Liu,Kotaro Furusawa,Seiju Tsujinaga,Tomoko Tateyama,Yutaro Iwamoto,Yen-Wei Chen:
  MaHG-RGBD: A Multi-angle View Hand Gesture RGB-D Dataset for Deep Learning Based Gesture Recognition and Baseline Evaluations.ICCE2019:1-4
• 
  [c30]
  Shohei Yonetsu,Yutaro Iwamoto,Yen-Wei Chen:
  Two-Stage YOLOv2 for Accurate License-Plate Detection in Complex Scenes.ICCE2019:1-4
• 
  [c29]
  Xiao Chen,Jian Wu,Lanfen Lin,Dong Liang,Hongjie Hu,Qiaowei Zhang,Yutaro Iwamoto,Xian-Hua Han,Yen-Wei Chen,Ruofeng Tong:
  A Dual-Attention Dilated Residual Network for Liver Lesion Classification and Localization on CT Images.ICIP2019:235-239
• 
  [c28]
  Jiaqing Liu,Kotaro Furusawa,Tomoko Tateyama,Yutaro Iwamoto,Yen-Wei Chen:
  An Improved Hand Gesture Recognition with Two-Stage Convolution Neural Networks Using a Hand Color Image and its Pseudo-Depth Image.ICIP2019:375-379
• 
  [c27]
  Dong Liang,Ruofeng Tong,Jian Wu,Lanfen Lin,Xiao Chen,Hongjie Hu,Qiaowei Zhang,Qingqing Chen,Yutaro Iwamoto,Xianhua Han,Yen-Wei Chen:
  Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic Ct Images.ICIP2019:794-798
• 
  [c26]
  Ziyu Zhao,Yutaro Iwmoto,Yuji Tezuka,Hiroki Okada,Kiyosumi Maeda,Atsuyuki Wada,Atsunori Kashiwagi,Yen-Wei Chen:
  Automatic Segmentation of Visible Epicardium Using Deep Learning in CT Image.ICNC-FSKD2019:577-584
• 
  [c25]
  Yu Song,Xu Qiao,Yutaro Iwmoto,Yen-Wei Chen:
  Semi-automatic Cephalometric Landmark Detection on X-ray Images Using Deep Learning Method.ICNC-FSKD2019:585-592
• 
  [c24]
  Kotaro Furusawa,Jiaqing Liu,Seiju Tsujinaga,Tomoko Tateyama,Yutaro Iwamoto,Yen-Wei Chen:
  Robust Hand Gesture Recognition Using Multimodal Deep Learning for Touchless Visualization of 3D Medical Images.ICNC-FSKD2019:593-600
• 
  [c23]
  Xiao Chen,Lanfen Lin,Hongjie Hu,Qiaowei Zhang,Yutaro Iwamoto,Xianhua Han,Yen-Wei Chen,Ruofeng Tong,Jian Wu:
  A Cascade Attention Network for Liver Lesion Classification in Weakly-Labeled Multi-phase CT Images.DART/MIL3ID@MICCAI2019:129-138
• 
  [c22]
  Han Zheng,Lanfen Lin,Hongjie Hu,Qiaowei Zhang,Qingqing Chen,Yutaro Iwamoto,Xianhua Han,Yen-Wei Chen,Ruofeng Tong,Jian Wu:
  Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior.MICCAI (6)2019:148-156
• 2018
• 
  [c21]
  Weibin Wang,Yutaro Iwamoto,Xianhua Han,Yen-Wei Chen,Qingqing Chen,Dong Liang,Lanfen Lin,Hongjie Hu,Qiaowei Zhang:
  Classification of Focal Liver Lesions Using Deep Learning with Fine-Tuning.DMIP2018:56-60
• 
  [c20]
  Seiju Tsujinaga,Nobuo Yamaguchi,Jiaqing Liu,Tomoko Tateyama,Yutaro Iwamoto,Yen-Wei Chen:
  Interactive Virtual Campus Tour System Using Skeleton Information from Kinect.GCCE2018:47-50
• 
  [c19]
  Kun Xiong,Takahiro Kitamura,Yutaro Iwamoto,Xian-Hua Han,Naoki Matsushiro,Hiroshi Nishimura,Yen-Wei Chen:
  Semi-Automatic Segmentation of Paranasal Sinus from CT images Using Fully Convolutional Networks.GCCE2018:268-269
• 
  [c18]
  Yinhao Li,Yutaro Iwamoto,Katsuhisa Ogawa,Yen-Wei Chen:
  Multi-frame super resolution using frame selection and multiple fusion for 250 million pixel images.ICCE2018:1-4
• 
  [c17]
  Liying Peng,Lanfen Lin,Hongjie Hu,Huali Li,Xiaoli Ling,Dan Wang,Xianhua Han,Yutaro Iwamoto,Yen-Wei Chen:
  Classification of Pulmonary Emphysema in CT Images Based on Multi-Scale Deep Convolutional Neural Networks.ICIP2018:3119-3123
• 
  [c16]
  Titinunt Kitrungrotsakul,Xian-Hua Han,Yutaro Iwamoto,Satoko Takemoto,Hideo Yokota,Sari Ipponjima,Tomomi Nemoto,Xiong Wei,Yen-Wei Chen:
  A 2.5D Cascaded Convolutional Neural Network with Temporal Information for Automatic Mitotic Cell Detection in 4D Microscopic Images.ICNC-FSKD2018:202-205
• 
  [c15]
  Kazuki Otsuki,Akira Furukawa,Shuzo Kanasaki,Yutaro Iwamoto,Tomoko Tateyama,Yen-Wei Chen:
  Automated Assessment of Small Bowel Motility Function Based on Feature Points Tracking.ICNC-FSKD2018:437-440
• 
  [c14]
  Yutaro Iwamoto,Naoaki Hashimoto,Yen-Wei Chen:
  Fast Dark Channel Prior Based Haze Removal from a Single Image.ICNC-FSKD2018:458-461
• 
  [c13]
  Titinunt Kitrungrotsakul,Yutaro Iwamoto,Xian-Hua Han,Wei Xiong,Lanfen Lin,Hongjie Hu,Huiyan Jiang,Yen-Wei Chen:
  Interactive Liver Segmentation in CT Volumes Using Fully Convolutional Networks.IIMSS2018:216-222
• 
  [c12]
  Jiaqing Liu,Tomoko Tateyama,Yutaro Iwamoto,Yen-Wei Chen:
  Kinect-Based Real-Time Gesture Recognition Using Deep Convolutional Neural Networks for Touchless Visualization of Hepatic Anatomical Models in Surgery.IIMSS2018:223-229
• 
  [c11]
  Liying Peng,Lanfen Lin,Hongjie Hu,Huali Li,Qingqing Chen,Dan Wang,Xian-Hua Han,Yutaro Iwamoto,Yen-Wei Chen:
  Multi-scale Residual Network with Two Channels of Raw CT Image and Its Differential Excitation Component for Emphysema Classification.DLMIA/ML-CDS@MICCAI2018:38-46
• 
  [c10]
  Dong Liang,Lanfen Lin,Hongjie Hu,Qiaowei Zhang,Qingqing Chen,Yutaro Iwamoto,Xianhua Han,Yen-Wei Chen:
  Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-phase CT Images.MICCAI (2)2018:666-675
• 
  [c9]
  Yutaro Iwamoto,Xian-Hua Han,Akihiko Shiino,Yen-Wei Chen:
  Fast super-resolution with iterative-guided back projection for 3D MR images.Image Processing2018:105741T
• 
  [c8]
  Dong Liang,Lanfen Lin,Hongjie Hu,Qiaowei Zhang,Qingqing Chen,Yutaro Iwamoto,Xianhua Han,Yen-Wei Chen:
  Residual Convolutional Neural Networks with Global and Local Pathways for Classification of Focal Liver Lesions.PRICAI (1)2018:617-628
• 
  [i1]
  Titinunt Kitrungrotsakul,Xian-Hua Han,Yutaro Iwamoto,Satoko Takemoto,Hideo Yokota,Sari Ipponjima,Tomomi Nemoto,Wei Xiong,Yen-Wei Chen:
  A Cascade of 2.5D CNN and LSTM Network for Mitotic Cell Detection in 4D Microscopy Image.CoRRabs/1806.01018 (2018)
• 2017
• 
  [c7]
  Titinunt Kitrungrotsakul,Xian-Hua Han,Yutaro Iwamoto,Amir Hossein Foruzan,Lanfen Lin,Yen-Wei Chen:
  Robust hepatic vessel segmentation using multi deep convolution network.Biomedical Applications in Molecular, Structural, and Functional Imaging2017:1013711
• 2016
• 
  [c6]
  Katsuhisa Ogawa,Yuri Yamaguchi,Yutaro Iwamoto,Xian-Hua Han,Yen-Wei Chen:
  SIFT-based multi-frame super resolution for 250 million pixel images.CISP-BMEI2016:834-837
• 
  [c5]
  Yutaro Iwamoto,Xian-Hua Han,Akihiko Shiino,Yen-Wei Chen:
  Super-resolution of 3D MR images and its application to brain segmentation.CISP-BMEI2016:838-841
• 2014
• 
  [c4]
  Xian-Hua Han,Yutaro Iwamoto,Akihiko Shiino,Yen-Wei Chen:
  Robust isotropic super-resolution by maximizing a Laplace posterior for MRI volumes.Image Processing2014:90342I
• 2012
• 
  [c3]
  Kazuki Taniguchi,Xian-Hua Han,Yutaro Iwamoto,So Sasatani,Yen-Wei Chen:
  Image super-resolution based on locality-constrained linear coding.ICPR2012:1948-1951
• 
  [c2]
  Yutaro Iwamoto,Xian-Hua Han,So Sasatani,Kazuki Taniguchi,Wei Xiong,Yen-Wei Chen:
  Super-resolution of MR volumetric images using sparse representation and self-similarity.ICPR2012:3758-3761
• 2011
• 
  [c1]
  So Sasatani,Xian-Hua Han,Takanori Igarashi,Motonori Ohashi,Yutaro Iwamoto,Yen-Wei Chen:
  High frequency compensated face hallucination.ICIP2011:1529-1532

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