COPICAT: a software system for predicting interactions between proteins and chemical compounds. - Yasubumi Sakakibara; Tsuyoshi Hachiya; Miho Uchida; Nobuyoshi Nagamine; Yohei Sugawara; Masahiro Yokota; Masaomi Nakamura; Kris Popendorf; Takashi Komori; Kengo Sato (Bioinform., 2012)

Consideration of microbump layout for reduction of local bending stress due to CTE Mismatch in 3D IC. - Hisashi Kino; Hideto Hashiguchi; Seiya Tanikawa; Yohei Sugawara; Shunsuke Ikegaya; Takafumi Fukushima; Mitsumasa Koyanagi; Tetsu Tanaka (3DIC, 2015)

BayesGrad: Explaining Predictions of Graph Convolutional Networks. - Hirotaka Akita; Kosuke Nakago; Tomoki Komatsu; Yohei Sugawara; Shin-ichi Maeda; Yukino Baba; Hisashi Kashima (ICONIP (5), 2018)

An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation. - Yuta Tokuoka; Shuji Suzuki; Yohei Sugawara (ICBBE, 2019)

Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks. - Kohei Hayashi; Taiki Yamaguchi; Yohei Sugawara; Shin-ichi Maeda (NeurIPS, 2019)

Einconv: Exploring Unexplored Tensor Decompositions for Convolutional Neural Networks. - Kohei Hayashi; Taiki Yamaguchi; Yohei Sugawara; Shin-ichi Maeda (CoRR, 2019)

GA-GAN: CT reconstruction from Biplanar DRRs using GAN with Guided Attention. - Ashish Sinha; Yohei Sugawara; Yuichiro Hirano (CoRR, 2019)

Label-Efficient Multi-task Segmentation Using Contrastive Learning. - Junichiro Iwasawa; Yuichiro Hirano; Yohei Sugawara (BrainLes@MICCAI (1), 2020)

Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics. - 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; et al. (CoRR, 2023)

Anatomical 3D Style Transfer Enabling Efficient Federated Learning with Extremely Low Communication Costs. - Yuto Shibata; Yasunori Kudo; Yohei Sugawara (CoRR, 2024)