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)

Anomaly detection in chest radiographs with a weakly supervised flow-based deep learning method. - Hisaichi Shibata; Shouhei Hanaoka; Yukihiro Nomura; Takahiro Nakao; Issei Sato; Naoto Hayashi; Osamu Abe (CoRR, 2020)

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)

Versatile anomaly detection method for medical images with semi-supervised flow-based generative models. - Hisaichi Shibata; Shouhei Hanaoka; Yukihiro Nomura; Takahiro Nakao; Issei Sato; Daisuke Sato; 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)

Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers. - Yuta Nakamura; Shouhei Hanaoka; Yukihiro Nomura; Takahiro Nakao; Soichiro Miki; Takeyuki Watadani; Takeharu Yoshikawa; Naoto Hayashi; Osamu Abe (BMC Medical Informatics Decis. Mak., 2021)

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)

Zero-shot 3D Segmentation of Abdominal Organs in CT Scans Using Segment Anything Model 2: Adapting Video Tracking Capabilities for 3D Medical Imaging. - Yosuke Yamagishi; Shouhei Hanaoka; Tomohiro Kikuchi; Takahiro Nakao; Yuta Nakamura; Yukihiro Nomura; Soichiro Miki; Takeharu Yoshikawa; Osamu Abe (CoRR, 2024)

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)

Performance changes due to differences among annotating radiologists for training data in computerized lesion detection. - Yukihiro Nomura; Shouhei Hanaoka; Naoto Hayashi; Takeharu Yoshikawa; Saori Koshino; Chiaki Sato; Momoko Tatsuta; Yuya Tanaka; Shintaro Kano; Moto Nakaya; Shohei Inui; Masashi Kusakabe; et al. (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)