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Yohei Sugawara
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2020 – today
- 2024
- [i7]Yuto Shibata, Yasunori Kudo, Yohei Sugawara:
Anatomical 3D Style Transfer Enabling Efficient Federated Learning with Extremely Low Communication Costs. CoRR abs/2410.20102 (2024) - 2023
- [i6]Kenta Oono, Nontawat Charoenphakdee, Kotatsu Bito, Zhengyan Gao, Yoshiaki Ota, Shoichiro Yamaguchi, Yohei Sugawara, Shin-ichi Maeda, Kunihiko Miyoshi, Yuki Saito, Koki Tsuda, Hiroshi Maruyama, Kohei Hayashi:
Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics. CoRR abs/2306.10656 (2023) - 2020
- [c5]Junichiro Iwasawa, Yuichiro Hirano, Yohei Sugawara:
Label-Efficient Multi-task Segmentation Using Contrastive Learning. BrainLes@MICCAI (1) 2020: 101-110 - [i5]Yuta Tokuoka, Shuji Suzuki, Yohei Sugawara:
An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation. CoRR abs/2005.04906 (2020) - [i4]Junichiro Iwasawa
, Yuichiro Hirano
Label-Efficient Multi-Task Segmentation using Contrastive Learning. CoRR abs/2009.11160 (2020)
2010 – 2019
- 2019
- [c4]Yuta Tokuoka
An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation. ICBBE 2019: 44-48 - [c3]Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, Shin-ichi Maeda:
Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks. NeurIPS 2019: 5553-5563 - [i3]Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, Shin-ichi Maeda:
Einconv: Exploring Unexplored Tensor Decompositions for Convolutional Neural Networks. CoRR abs/1908.04471 (2019) - [i2]Ashish Sinha, Yohei Sugawara, Yuichiro Hirano:
GA-GAN: CT reconstruction from Biplanar DRRs using GAN with Guided Attention. CoRR abs/1909.12525 (2019) - 2018
- [c2]Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima:
BayesGrad: Explaining Predictions of Graph Convolutional Networks. ICONIP (5) 2018: 81-92 - [i1]Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima:
BayesGrad: Explaining Predictions of Graph Convolutional Networks. CoRR abs/1807.01985 (2018) - 2015
- [c1]Hisashi Kino
Consideration of microbump layout for reduction of local bending stress due to CTE Mismatch in 3D IC. 3DIC 2015: TS8.26.1-TS8.26.4 - 2012
- [j1]Yasubumi Sakakibara, Tsuyoshi Hachiya, Miho Uchida, Nobuyoshi Nagamine, Yohei Sugawara, Masahiro Yokota, Masaomi Nakamura, Kris Popendorf, Takashi Komori, Kengo Sato
COPICAT: a software system for predicting interactions between proteins and chemical compounds. Bioinform. 28(5): 745-746 (2012)
Coauthor Index
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