Yutaro Iwamoto
Orcid: 0000-0001-6723-8652Affiliations:
- Ritsumeikan University, Graduate School of Information Science and Engineering, Kusatsu, Japan
According to our database1,
Yutaro Iwamoto
authored at least 104 papers
between 2011 and 2024.
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Bibliography
2024
Unsupervised Logo Detection Using Adversarial Learning From Synthetic to Real Images.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024
2023
3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image Segmentation.
IEICE Trans. Inf. Syst., May, 2023
Unsupervised MRI Super Resolution Using Deep External Learning and Guided Residual Dense Network With Multimodal Image Priors.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023
Vis. Comput., 2023
Proceedings of the IEEE International Conference on Consumer Electronics, 2023
A Multi-View Weighted Fusion Model for Segmentation of Infant Brain Ventricles with Hydrocephalus in MRI.
Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023
Unsupervised Domain Adaptation Using Fourier Phase Enhanced Training Images for Liver Tumors Detection in Multi-phase CT Images.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
MTL-ABS<sup>3</sup>Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images.
IEEE J. Biomed. Health Informatics, 2022
Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation.
IEEE Trans. Circuits Syst. Video Technol., 2022
A multi-head pseudo nodes based spatial-temporal graph convolutional network for emotion perception from GAIT.
Neurocomputing, 2022
Super-Resolution Based Patch-Free 3D Medical Image Segmentation with Self-Supervised Guidance.
CoRR, 2022
Efficient and Accurate Hyperspectral Pansharpening Using 3D VolumeNet and 2.5D Texture Transfer.
CoRR, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Computer-aided Diagnosis of Peritonitis Using Two-Stream Attention Deep Convolutional Network.
Proceedings of the 4th IEEE Global Conference on Life Sciences and Technologies, 2022
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise
Perspective for Medical Image Segmentation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the IEEE International Conference on Consumer Electronics, 2022
Frame Attention Recurrent Back-Projection Network for Accurate Video Super-Resolution.
Proceedings of the IEEE International Conference on Consumer Electronics, 2022
A Weakly-Supervised Anomaly Detection Method via Adversarial Training for Medical Images.
Proceedings of the IEEE International Conference on Consumer Electronics, 2022
Identification of Peritonitis Using Two-Stream Deep Spatial-Temporal Convolutional Networks.
Proceedings of the IEEE International Conference on Consumer Electronics, 2022
Proceedings of the IEEE International Conference on Consumer Electronics, 2022
Automatic Segmentation of Infant Brain Ventricles with Hydrocephalus in MRI Based on Deep Multi-path Learning.
Proceedings of the IEEE International Conference on Consumer Electronics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Accurate Hand Gesture Recognition Using Color and Depth Images with Modality-invariant Fusion.
Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022
Automatic Reference Image Selection Approach for Reference-Based Image Super-Resolution.
Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022
Three Dimensional Microscope Image Super-resolution Using Deep Learning and Self-similarity.
Proceedings of the 11th IEEE Global Conference on Consumer Electronics, 2022
Synthesizing Contrast-enhanced Computed Tomography Images with an Improved Conditional Generative Adversarial Network.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
An Intra- and Inter-Modality Fusion Model Using MR Images for Prediction of Glioma Isocitrate Dehydrogenase (IDH) Mutation.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Dual Discriminator-Based Unsupervised Domain Adaptation Using Adversarial Learning for Liver Segmentation on Multiphase CT Images.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Residual Multilayer Perceptrons for Genotype-Guided Recurrence Prediction of Non-Small Cell Lung Cancer.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Attention-RefNet: Interactive Attention Refinement Network for Infected Area Segmentation of COVID-19.
IEEE J. Biomed. Health Informatics, 2021
VolumeNet: A Lightweight Parallel Network for Super-Resolution of MR and CT Volumetric Data.
IEEE Trans. Image Process., 2021
A Cascade of 2.5D CNN and Bidirectional CLSTM Network for Mitotic Cell Detection in 4D Microscopy Image.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
An Efficient Deep Learning Based Coarse-to-Fine Cephalometric Landmark Detection Method.
IEICE Trans. Inf. Syst., 2021
PA-ResSeg: A Phase Attention Residual Network for Liver Tumor Segmentation from Multi-phase CT Images.
CoRR, 2021
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., 2021
Genotype-Guided Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer.
IEEE Access, 2021
Patch-Free 3D Medical Image Segmentation Driven by Super-Resolution Technique and Self-Supervised Guidance.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
3D Graph-S<sup>2</sup>Net: Shape-Aware Self-ensembling Network for Semi-supervised Segmentation with Bilateral Graph Convolution.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
A Teacher-Student Learning Based On Composed Ground-Truth Images For Accurate Cephalometric Landmark Detection.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Proceedings of the IEEE International Conference on Consumer Electronics, 2021
Automatic Detection and Segmentation of Liver Tumors in Multi- phase CT Images by Phase Attention Mask R-CNN.
Proceedings of the IEEE International Conference on Consumer Electronics, 2021
Graph-Based Pyramid Global Context Reasoning With a Saliency- Aware Projection for Covid-19 Lung Infections Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2021
An Improved Conditional Generative Adversarial Network for Translating Depth Image from Color Image and Accurate Hand Gesture Recognition.
Proceedings of the 10th IEEE Global Conference on Consumer Electronics, 2021
An Efficient and Accurate 3D Multiple-Contextual Semantic Segmentation Network for Medical Volumetric Images.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Improved Genotype-Guided Deep Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung Cancer.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
2020
Semi-Supervised Learning for Semantic Segmentation of Emphysema With Partial Annotations.
IEEE J. Biomed. Health Informatics, 2020
Tensor-based sparse representations of multi-phase medical images for classification of focal liver lesions.
Pattern Recognit. Lett., 2020
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., 2020
Novel image restoration method based on multi-frame super-resolution for atmospherically distorted images.
IET Image Process., 2020
VolumeNet: A Lightweight Parallel Network for Super-Resolution of Medical Volumetric Data.
CoRR, 2020
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., 2020
Deep Fusion Models of Multi-Phase CT and Selected Clinical Data for Preoperative Prediction of Early Recurrence in Hepatocellular Carcinoma.
IEEE Access, 2020
Multimodal Priors Guided Segmentation of Liver Lesions in MRI Using Mutual Information Based Graph Co-Attention Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 2nd IEEE Global Conference on Life Sciences and Technologies, 2020
WNET: An End-to-End Atlas-Guided and Boundary-Enhanced Network for Medical Image Segmentation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Deep Learning Method for Content-Based Retrieval of Focal Liver Lesions Using Multiphase Contrast-Enhanced Computer Tomography Images.
Proceedings of the 2020 IEEE International Conference on Consumer Electronics (ICCE), 2020
Proceedings of the 2020 IEEE International Conference on Consumer Electronics (ICCE), 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 9th IEEE Global Conference on Consumer Electronics, 2020
Proceedings of the 9th IEEE Global Conference on Consumer Electronics, 2020
Proceedings of the Computer Vision - ACCV 2020 Workshops - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
Parallel-Connected Residual Channel Attention Network for Remote Sensing Image Super-Resolution.
Proceedings of the Computer Vision - ACCV 2020 Workshops - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
2019
IEEE J. Biomed. Health Informatics, 2019
VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation.
Comput. Medical Imaging Graph., 2019
Semi-supervised Segmentation of Liver Using Adversarial Learning with Deep Atlas Prior.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
A Cascade Attention Network for Liver Lesion Classification in Weakly-Labeled Multi-phase CT Images.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019
Semi-automatic Cephalometric Landmark Detection on X-ray Images Using Deep Learning Method.
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019
Robust Hand Gesture Recognition Using Multimodal Deep Learning for Touchless Visualization of 3D Medical Images.
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019
An Improved Hand Gesture Recognition with Two-Stage Convolution Neural Networks Using a Hand Color Image and its Pseudo-Depth Image.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Multi-Stream Scale-Insensitive Convolutional and Recurrent Neural Networks for Liver Tumor Detection in Dynamic Ct Images.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
A Dual-Attention Dilated Residual Network for Liver Lesion Classification and Localization on CT Images.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Proceedings of the IEEE International Conference on Consumer Electronics, 2019
MaHG-RGBD: A Multi-angle View Hand Gesture RGB-D Dataset for Deep Learning Based Gesture Recognition and Baseline Evaluations.
Proceedings of the IEEE International Conference on Consumer Electronics, 2019
A Cascade of CNN and LSTM Network with 3D Anchors for Mitotic Cell Detection in 4D Microscopic Image.
Proceedings of the IEEE International Conference on Acoustics, 2019
Robust Detection and Recognition of Japanese Traffic Sign in the Complex Scenes Based on Deep Learning.
Proceedings of the IEEE 8th Global Conference on Consumer Electronics, 2019
Deep Learning-Based Radiomics Models for Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Automatic Detection of Focal Liver Lesions in Multi-phase CT Images Using A Multi-channel & Multi-scale CNN.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Automatic Segmentation of the Paranasal Sinus from Computer Tomography Images Using a Probabilistic Atlas and a Fully Convolutional Network.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
A Cascade of 2.5D CNN and LSTM Network for Mitotic Cell Detection in 4D Microscopy Image.
CoRR, 2018
Residual Convolutional Neural Networks with Global and Local Pathways for Classification of Focal Liver Lesions.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Proceedings of the Medical Imaging 2018: Image Processing, 2018
Multi-scale Residual Network with Two Channels of Raw CT Image and Its Differential Excitation Component for Emphysema Classification.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Combining Convolutional and Recurrent Neural Networks for Classification of Focal Liver Lesions in Multi-phase CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Kinect-Based Real-Time Gesture Recognition Using Deep Convolutional Neural Networks for Touchless Visualization of Hepatic Anatomical Models in Surgery.
Proceedings of the Intelligent Interactive Multimedia Systems and Services, 2018
Proceedings of the Intelligent Interactive Multimedia Systems and Services, 2018
Automated Assessment of Small Bowel Motility Function Based on Feature Points Tracking.
Proceedings of the 14th International Conference on Natural Computation, 2018
A 2.5D Cascaded Convolutional Neural Network with Temporal Information for Automatic Mitotic Cell Detection in 4D Microscopic Images.
Proceedings of the 14th International Conference on Natural Computation, 2018
Proceedings of the 14th International Conference on Natural Computation, 2018
Classification of Pulmonary Emphysema in CT Images Based on Multi-Scale Deep Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Multi-frame super resolution using frame selection and multiple fusion for 250 million pixel images.
Proceedings of the IEEE International Conference on Consumer Electronics, 2018
Semi-Automatic Segmentation of Paranasal Sinus from CT images Using Fully Convolutional Networks.
Proceedings of the IEEE 7th Global Conference on Consumer Electronics, 2018
Proceedings of the IEEE 7th Global Conference on Consumer Electronics, 2018
Proceedings of the 2018 International Conference on Digital Medicine and Image Processing, 2018
2017
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
2016
Proceedings of the 9th International Congress on Image and Signal Processing, 2016
Proceedings of the 9th International Congress on Image and Signal Processing, 2016
2014
Proceedings of the Medical Imaging 2014: Image Processing, 2014
2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Super-resolution of MR volumetric images using sparse representation and self-similarity.
Proceedings of the 21st International Conference on Pattern Recognition, 2012
2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011