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Yutaro Iwamoto

Showing results (1-10 of 31) with videos related to

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Nihon Hoshasen Gijutsu Gakkai Zasshi|August 21, 2024
[[Applications] 13. Segmentation of Infant Brain Ventricles with Hydrocephalus Using Deep Learning]Yutaro Iwamoto, Masahiro Nonaka, Yen-Wei Chen
The Journal of Dermatology|September 30, 2024
Simultaneous skin infection of Mycobacterium chelonae and Nocardia thailandicaKenta Morimoto, Yutaro Iwamoto, Azusa Kanazawa, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Automatic Detection of Focal Liver Lesions in Multi-phase CT Images Using A Multi-channel & Multi-scale CNNYoshihiro Todoroki, Yutaro Iwamoto, Lanfen Lin, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Improved Genotype-Guided Deep Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung CancerPanyanat Aonpong, Yutaro Iwamoto, Xian-Hua Han, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 9, 2022
Dual Discriminator-Based Unsupervised Domain Adaptation Using Adversarial Learning for Liver Segmentation on Multiphase CT ImagesSwathi Ananda, Yutaro Iwamoto, Xianhua Han, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|May 4, 2021
VolumeNet: A Lightweight Parallel Network for Super-Resolution of MR and CT Volumetric DataYinhao Li, Yutaro Iwamoto, Lanfen Lin, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
An Efficient and Accurate 3D Multiple-Contextual Semantic Segmentation Network for Medical Volumetric ImagesHe Li, Yutaro Iwamoto, Xianhua Han, et al.
Scientific Reports|November 29, 2025
Deep learning for microbial life detection in deep subseafloor samples: objective cell recognitionTomoya Nishimura, Yutaro Iwamoto, Hiroshi Nagahashi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Residual Multilayer Perceptrons for Genotype-Guided Recurrence Prediction of Non-Small Cell Lung CancerYang Ai, Panyanat Aonpong, Weibin Wang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
An Intra- and Inter-Modality Fusion Model Using MR Images for Prediction of Glioma Isocitrate Dehydrogenase (IDH) MutationXiaoyu Shi, Xinran Zhang, Yutaro Iwamoto, et al.
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
Nihon Hoshasen Gijutsu Gakkai Zasshi|August 21, 2024
[[Applications] 13. Segmentation of Infant Brain Ventricles with Hydrocephalus Using Deep Learning]Yutaro Iwamoto, Masahiro Nonaka, Yen-Wei Chen
The Journal of Dermatology|September 30, 2024
Simultaneous skin infection of Mycobacterium chelonae and Nocardia thailandicaKenta Morimoto, Yutaro Iwamoto, Azusa Kanazawa, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Automatic Detection of Focal Liver Lesions in Multi-phase CT Images Using A Multi-channel & Multi-scale CNNYoshihiro Todoroki, Yutaro Iwamoto, Lanfen Lin, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Improved Genotype-Guided Deep Radiomics Signatures for Recurrence Prediction of Non-Small Cell Lung CancerPanyanat Aonpong, Yutaro Iwamoto, Xian-Hua Han, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 9, 2022
Dual Discriminator-Based Unsupervised Domain Adaptation Using Adversarial Learning for Liver Segmentation on Multiphase CT ImagesSwathi Ananda, Yutaro Iwamoto, Xianhua Han, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|May 4, 2021
VolumeNet: A Lightweight Parallel Network for Super-Resolution of MR and CT Volumetric DataYinhao Li, Yutaro Iwamoto, Lanfen Lin, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
An Efficient and Accurate 3D Multiple-Contextual Semantic Segmentation Network for Medical Volumetric ImagesHe Li, Yutaro Iwamoto, Xianhua Han, et al.
Scientific Reports|November 29, 2025
Deep learning for microbial life detection in deep subseafloor samples: objective cell recognitionTomoya Nishimura, Yutaro Iwamoto, Hiroshi Nagahashi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Residual Multilayer Perceptrons for Genotype-Guided Recurrence Prediction of Non-Small Cell Lung CancerYang Ai, Panyanat Aonpong, Weibin Wang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
An Intra- and Inter-Modality Fusion Model Using MR Images for Prediction of Glioma Isocitrate Dehydrogenase (IDH) MutationXiaoyu Shi, Xinran Zhang, Yutaro Iwamoto, et al.
Pageof 4