A. Yaguchi

Comparative evaluation of newly developed model-based and commercially available hybrid-type iterative reconstruction methods and filter back projection method in terms of accuracy of computer-aided volumetry (CADv) for low-dose CT protocols in phantom study.

Y. Ohno, H. Yamagata, K. Sugimura, 2016, European journal of radiology.

Special session on thoracic CAD

Y. Ohno, H. Yamagata, K. Sugimura, 2014, International Journal of Computer Assisted Radiology and Surgery.

Scalable Deep Neural Networks via Low-Rank Matrix Factorization pdf

Taiji Suzuki, Atsushi Yaguchi, Akiyuki Tanizawa, 2019, ArXiv.

Adam Induces Implicit Weight Sparsity in Rectifier Neural Networks

Taiji Suzuki, Atsushi Yaguchi, Akiyuki Tanizawa, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

Differentiation of Benign from Malignant Pulmonary Nodules by Using a Convolutional Neural Network to Determine Volume Change at Chest CT.

Y. Ohno, D. Takenaka, Y. Ueno, 2020, Radiology.

Decomposable-Net: Scalable Low-Rank Compression for Neural Networks

Taiji Suzuki, Atsushi Yaguchi, Akiyuki Tanizawa, 2019, IJCAI.

Semi-automated segmentation of solid and GGO nodules in lung CT images using vessel-likelihood derived from local foreground structure

Sumiaki Matsumoto, Tomoya Okazaki, Hitoshi Yamagata, 2015, Medical Imaging.