Atsushi Yaguchi - researchr alias

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Viewing Publication 1 - 7 from 7

2023

Scalable Federated Learning for Clients with Different Input Image Sizes and Numbers of Output CategoriesShuhei Nitta, Taiji Suzuki, Albert Rodríguez Mulet, Atsushi Yaguchi, Ryusuke Hirai. icmla 2023: 764-769 [doi]

2021

Decomposable-Net: Scalable Low-Rank Compression for Neural NetworksAtsushi Yaguchi, Taiji Suzuki, Shuhei Nitta, Yukinobu Sakata, Akiyuki Tanizawa. IJCAI 2021: 3249-3256 [doi]

2019

3D fully convolutional network-based segmentation of lung nodules in CT images with a clinically inspired data synthesis methodAtsushi Yaguchi, Kota Aoyagi, Akiyuki Tanizawa, Yoshiharu Ohno. micad 2019: [doi]

2018

Adam Induces Implicit Weight Sparsity in Rectifier Neural NetworksAtsushi Yaguchi, Taiji Suzuki, Wataru Asano, Shuhei Nitta, Yukinobu Sakata, Akiyuki Tanizawa. icmla 2018: 318-325 [doi]

2015

Semi-automated segmentation of solid and GGO nodules in lung CT images using vessel-likelihood derived from local foreground structureAtsushi Yaguchi, Tomoya Okazaki, Tomoyuki Takeguchi, Sumiaki Matsumoto, Yoshiharu Ohno, Kota Aoyagi, Hitoshi Yamagata. micad 2015: [doi]

2011

Cancer detection from biopsy images using probabilistic and discriminative featuresAtsushi Yaguchi, Takumi Kobayashi, Kenji Watanabe, Kenji Iwata, Tadaaki Hosaka, Nobuyuki Otsu. icip 2011: 1609-1612 [doi]

Image Quality Enhancement for Single-Image Super Resolution Based on Local Similarities and Support Vector RegressionAtsushi Yaguchi, Tadaaki Hosaka, Takayuki Hamamoto. ieicet, 94-A(2):552-554, 2011. [doi]

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