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Residual Convolutional Neural Networks with Global and Local Pathways for Classification of Focal Liver Lesions.

D. Liang, L. Lin, H. Hu, Q. Zhang, Q. Chen, Y. Iwamoto, X. Han, and Y. Chen. PRICAI (1), volume 11012 of Lecture Notes in Computer Science, page 617-628. Springer, (2018)

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Yutaro Nishi

Christel Stock-Iwamoto

Other publications of authors with the same name

Deep Fusion Models of Multi-Phase CT and Selected Clinical Data for Preoperative Prediction of Early Recurrence in Hepatocellular Carcinoma.W. Wang, Q. Chen, Y. Iwamoto, P. Aonpong, L. Lin, H. Hu, Q. Zhang, and Y. Chen. IEEE Access, (2020)Mutual Information-Based Graph Co-Attention Networks for Multimodal Prior-Guided Magnetic Resonance Imaging Segmentation.S. Mo, M. Cai, L. Lin, R. Tong, Q. Chen, F. Wang, H. Hu, Y. Iwamoto, X. Han, and Y. Chen. IEEE Trans. Circuits Syst. Video Technol., 32 (5): 2512-2526 (2022)Computer-aided Diagnosis of Peritonitis Using Two-Stream Attention Deep Convolutional Network.T. Kawahara, A. Inoue, Y. Iwamoto, B. Batsaikhan, S. Chatani, A. Furukawa, and Y. Chen. LifeTech, page 320-324. IEEE, (2022)Mixed Transformer U-Net for Medical Image Segmentation.H. Wang, S. Xie, L. Lin, Y. Iwamoto, X. Han, Y. Chen, and R. Tong. ICASSP, page 2390-2394. IEEE, (2022)Unsupervised Domain Adaptation Using Adversarial Learning and Maximum Square Loss for Liver Tumors Detection in Multi-phase CT Images.R. Jain, T. Sato, T. Watasue, T. Nakagawa, Y. Iwamoto, X. Han, L. Lin, H. Hu, X. Ruan, and Y. Chen. EMBC, page 1536-1539. IEEE, (2022)Residual Multilayer Perceptrons for Genotype-Guided Recurrence Prediction of Non-Small Cell Lung Cancer.Y. Ai, P. Aonpong, W. Wang, Y. Li, Y. Iwamoto, X. Han, and Y. Chen. EMBC, page 447-450. IEEE, (2022)Unsupervised Domain Adaptation Using Fourier Phase Enhanced Training Images for Liver Tumors Detection in Multi-phase CT Images.R. Jain, T. Sato, A. El-Sayed, T. Watasue, T. Nakagawa, Y. Iwamoto, Y. Li, X. Han, L. Lin, H. Hu and 2 other author(s). EMBC, page 1-4. IEEE, (2023)3D Multiple-Contextual ROI-Attention Network for Efficient and Accurate Volumetric Medical Image Segmentation.H. Li, Y. Iwamoto, X. Han, L. Lin, A. Furukawa, S. Kanasaki, and Y. Chen. IEICE Trans. Inf. Syst., 106 (5): 1027-1037 (May 2023)An Efficient Deep Learning Based Coarse-to-Fine Cephalometric Landmark Detection Method.Y. Song, X. Qiao, Y. Iwamoto, Y. Chen, and Y. Chen. IEICE Trans. Inf. Syst., 104-D (8): 1359-1366 (2021)Mixed Transformer U-Net For Medical Image Segmentation.H. Wang, S. Xie, L. Lin, Y. Iwamoto, X. Han, Y. Chen, and R. Tong. CoRR, (2021)

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Disambiguation of "Iwamoto, Yutaro"

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Residual Convolutional Neural Networks with Global and Local Pathways for Classification of Focal Liver Lesions.

Please choose a person to relate this publication to

Yutaro Nishi

Christel Stock-Iwamoto

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Iwamoto, Yutaro"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Residual Convolutional Neural Networks with Global and Local Pathways for Classification of Focal Liver Lesions.

Please choose a person to relate this publication to

Yutaro Nishi

Christel Stock-Iwamoto

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Residual Convolutional Neural Networks with Global and Local Pathways for Classification of Focal Liver Lesions.