Yohei Sugawara

14 papers A* 1Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Breaking the Data Barrier: Robust Few-Shot 3D Vessel Segmentation using Foundation Models. CoRR Kirato Yoshihara, Yohei Sugawara, Yuta Tokuoka, Lihang Hong
2024	J	`jnl`	Anatomical 3D Style Transfer Enabling Efficient Federated Learning with Extremely Low Communication Costs. CoRR Yuto Shibata, Yasunori Kudo, Yohei Sugawara
2023	J	`jnl`	Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics. CoRR 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
2020	J	`jnl`	An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation. CoRR Yuta Tokuoka, Shuji Suzuki, Yohei Sugawara
2020	J	`jnl`	Label-Efficient Multi-Task Segmentation using Contrastive Learning. CoRR Junichiro Iwasawa, Yuichiro Hirano, Yohei Sugawara
2020	—	`conf`	Label-Efficient Multi-task Segmentation Using Contrastive Learning. BrainLes@MICCAI (1) Junichiro Iwasawa, Yuichiro Hirano, Yohei Sugawara
2019	—	`conf`	An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation. ICBBE Yuta Tokuoka, Shuji Suzuki, Yohei Sugawara
2019	J	`jnl`	Einconv: Exploring Unexplored Tensor Decompositions for Convolutional Neural Networks. CoRR Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, Shin-ichi Maeda
2019	A*	`conf`	Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks. NeurIPS Kohei Hayashi, Taiki Yamaguchi, Yohei Sugawara, Shin-ichi Maeda
2019	J	`jnl`	GA-GAN: CT reconstruction from Biplanar DRRs using GAN with Guided Attention. CoRR Ashish Sinha, Yohei Sugawara, Yuichiro Hirano
2018	—	`conf`	BayesGrad: Explaining Predictions of Graph Convolutional Networks. ICONIP (5) Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima
2018	J	`jnl`	BayesGrad: Explaining Predictions of Graph Convolutional Networks. CoRR Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima
2015	—	`conf`	Consideration of microbump layout for reduction of local bending stress due to CTE Mismatch in 3D IC. 3DIC Hisashi Kino, Hideto Hashiguchi, Seiya Tanikawa, Yohei Sugawara, Shunsuke Ikegaya, Takafumi Fukushima, Mitsumasa Koyanagi, Tetsu Tanaka
2012	J	`jnl`	COPICAT: a software system for predicting interactions between proteins and chemical compounds. Bioinform. Yasubumi Sakakibara, Tsuyoshi Hachiya, Miho Uchida, Nobuyoshi Nagamine, Yohei Sugawara, Masahiro Yokota, Masaomi Nakamura, Kris Popendorf, Takashi Komori, Kengo Sato