Cancer detection from biopsy images using probabilistic and discriminative features. - Atsushi Yaguchi; Takumi Kobayashi 001; Kenji Watanabe; Kenji Iwata; Tadaaki Hosaka; Nobuyuki Otsu (ICIP, 2011)

Image Quality Enhancement for Single-Image Super Resolution Based on Local Similarities and Support Vector Regression. - Atsushi Yaguchi; Tadaaki Hosaka; Takayuki Hamamoto (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2011)

Semi-automated segmentation of solid and GGO nodules in lung CT images using vessel-likelihood derived from local foreground structure. - Atsushi Yaguchi; Tomoya Okazaki; Tomoyuki Takeguchi; Sumiaki Matsumoto; Yoshiharu Ohno; Kota Aoyagi; Hitoshi Yamagata (Computer-Aided Diagnosis, 2015)

Adam Induces Implicit Weight Sparsity in Rectifier Neural Networks. - Atsushi Yaguchi; Taiji Suzuki; Wataru Asano; Shuhei Nitta; Yukinobu Sakata; Akiyuki Tanizawa (ICMLA, 2018)

3D fully convolutional network-based segmentation of lung nodules in CT images with a clinically inspired data synthesis method. - Atsushi Yaguchi; Kota Aoyagi; Akiyuki Tanizawa; Yoshiharu Ohno (Computer-Aided Diagnosis, 2019)

Scalable Deep Neural Networks via Low-Rank Matrix Factorization. - Atsushi Yaguchi; Taiji Suzuki; Shuhei Nitta; Yukinobu Sakata; Akiyuki Tanizawa (CoRR, 2019)

Decomposable-Net: Scalable Low-Rank Compression for Neural Networks. - Atsushi Yaguchi; Taiji Suzuki; Shuhei Nitta; Yukinobu Sakata; Akiyuki Tanizawa (IJCAI, 2021)

Scalable Federated Learning for Clients with Different Input Image Sizes and Numbers of Output Categories. - Shuhei Nitta; Taiji Suzuki; Albert Rodríguez Mulet; Atsushi Yaguchi; Ryusuke Hirai (ICMLA, 2023)