Automatic detection of vertebral number abnormalities in body CT images. - Shouhei Hanaoka; Yoshiyasu Nakano; Mitsutaka Nemoto; Yukihiro Nomura; Tomomi Takenaga; Soichiro Miki; Takeharu Yoshikawa; Naoto Hayashi; Yoshitaka Masutani; Akinobu Shimizu (Int. J. Comput. Assist. Radiol. Surg., 2017)

A primitive study on unsupervised anomaly detection with an autoencoder in emergency head CT volumes. - Daisuke Sato; Shouhei Hanaoka; Yukihiro Nomura; Tomomi Takenaga; Soichiro Miki; Takeharu Yoshikawa; Naoto Hayashi; Osamu Abe (Computer-Aided Diagnosis, 2018)

HoTPiG: a novel graph-based 3-D image feature set and its applications to computer-assisted detection of cerebral aneurysms and lung nodules. - Shouhei Hanaoka; Yukihiro Nomura; Tomomi Takenaga; Masaki Murata; Takahiro Nakao; Soichiro Miki; Takeharu Yoshikawa; Naoto Hayashi; Osamu Abe; Akinobu Shimizu (Int. J. Comput. Assist. Radiol. Surg., 2019)

Four-dimensional fully convolutional residual network-based liver segmentation in Gd-EOB-DTPA-enhanced MRI. - Tomomi Takenaga; Shouhei Hanaoka; Yukihiro Nomura; Mitsutaka Nemoto; Masaki Murata; Takahiro Nakao; Soichiro Miki; Takeharu Yoshikawa; Naoto Hayashi; Osamu Abe (Int. J. Comput. Assist. Radiol. Surg., 2019)

Development of training environment for deep learning with medical images on supercomputer system based on asynchronous parallel Bayesian optimization. - Yukihiro Nomura; Issei Sato; Toshihiro Hanawa; Shouhei Hanaoka; Takahiro Nakao; Tomomi Takenaga; Tetsuya Hoshino; Yuji Sekiya; Soichiro Miki; Takeharu Yoshikawa; Naoto Hayashi; Osamu Abe (J. Supercomput., 2020)

Preliminary study of generalized semiautomatic segmentation for 3D voxel labeling of lesions based on deep learning. - Yukihiro Nomura; Shouhei Hanaoka; Tomomi Takenaga; Takahiro Nakao; Hisaichi Shibata; Soichiro Miki; Takeharu Yoshikawa; Takeyuki Watadani; Naoto Hayashi; Osamu Abe (Int. J. Comput. Assist. Radiol. Surg., 2021)

Multichannel three-dimensional fully convolutional residual network-based focal liver lesion detection and classification in Gd-EOB-DTPA-enhanced MRI. - Tomomi Takenaga; Shouhei Hanaoka; Yukihiro Nomura; Takahiro Nakao; Hisaichi Shibata; Soichiro Miki; Takeharu Yoshikawa; Naoto Hayashi; Osamu Abe (Int. J. Comput. Assist. Radiol. Surg., 2021)

X2CT-FLOW: Reconstruction of multiple volumetric chest computed tomography images with different likelihoods from a uni- or biplanar chest X-ray image using a flow-based generative model. - Hisaichi Shibata; Shouhei Hanaoka; Yukihiro Nomura; Takahiro Nakao; Tomomi Takenaga; Naoto Hayashi; Osamu Abe (CoRR, 2021)

Unsupervised Deep Anomaly Detection in Chest Radiographs. - Takahiro Nakao; Shouhei Hanaoka; Yukihiro Nomura; Masaki Murata; Tomomi Takenaga; Soichiro Miki; Takeyuki Watadani; Takeharu Yoshikawa; Naoto Hayashi; Osamu Abe (J. Digit. Imaging, 2021)

Local Differential Privacy Image Generation Using Flow-based Deep Generative Models. - Hisaichi Shibata; Shouhei Hanaoka; Yang Cao 011; Masatoshi Yoshikawa; Tomomi Takenaga; Yukihiro Nomura; Naoto Hayashi; Osamu Abe (CoRR, 2022)

Synthetic data generation method for hybrid image-tabular data using two generative adversarial networks. - Tomohiro Kikuchi; Shouhei Hanaoka; Takahiro Nakao; Tomomi Takenaga; Yukihiro Nomura; Harushi Mori; Takeharu Yoshikawa (CoRR, 2023)

Improved identification of tumors in 18F-FDG-PET examination by normalizing the standard uptake in the liver based on blood test data. - Md. Ashraful Alam; Shouhei Hanaoka; Yukihiro Nomura; Tomohiro Kikuchi; Takahiro Nakao; Tomomi Takenaga; Naoto Hayashi; Takeharu Yoshikawa; Osamu Abe (Int. J. Comput. Assist. Radiol. Surg., 2024)

Detection of pulmonary nodules in chest radiographs: novel cost function for effective network training with purely synthesized datasets. - Shouhei Hanaoka; Yukihiro Nomura; Takeharu Yoshikawa; Takahiro Nakao; Tomomi Takenaga; Hirotaka Matsuzaki; Nobutake Yamamichi; Osamu Abe (Int. J. Comput. Assist. Radiol. Surg., 2024)