Directed Graph Representations of Association Structures: A Systematic Approach. - Sadaaki Miyamoto; Ko Oi; Osamu Abe; Atsuo Katsuya; Kazuhiko Nakayama (IEEE Trans. Syst. Man Cybern., 1986)

Abnormal association between reduced magnetic mismatch field to speech sounds and smaller left planum temporale volume in schizophrenia. - Hidenori Yamasue; Haruyasu Yamada; Masato Yumoto; Satoru Kamio; Noriko Kudo; Miki Uetsuki; Osamu Abe; Rin Fukuda; Shigeki Aoki; Kuni Ohtomo; Akira Iwanami; Nobumasa Kato; et al. (NeuroImage, 2004)

Building Statistical Atlas of White Matter Fiber Tract Based on Vector/Tensor Field Reconstruction in Diffusion Tensor MRI. - Yoshitaka Masutani; Shigeki Aoki; Osamu Abe; Mariko Yoshida; Haruyasu Yamada; Harushi Mori; Kenji Ino; Kuni Ohtomo (ISVC, 2005)

Association between lower P300 amplitude and smaller anterior cingulate cortex volume in patients with posttraumatic stress disorder: a study of victims of Tokyo subway sarin attack. - Tsuyoshi Araki; Kiyoto Kasai; Hidenori Yamasue; Nobumasa Kato; Noriko Kudo; Toshiyuki Ohtani; Kazuyuki Nakagome; Kenji Kirihara; Haruyasu Yamada; Osamu Abe; Akira Iwanami (NeuroImage, 2005)

Model-based tractography based on statistical atlas of MR-DTI. - Yoshitaka Masutani; Shigeki Aoki; Osamu Abe; Kuni Ohtomo (ISBI, 2006)

Structural and diffusional brain abnormality related to relatively low level alcohol consumption. - Hiroki Sasaki; Osamu Abe; Hidenori Yamasue; Rin Fukuda; Haruyasu Yamada; Kunio Takei; Motomu Suga; Hidemasa Takao; Kiyoto Kasai; Shigeki Aoki; Kuni Ohtomo (NeuroImage, 2009)

Differential temporo-parietal cortical networks that support relational and item-based recency judgments. - Hiroko M. Kimura; Satoshi Hirose; Akira Kunimatsu; Junichi Chikazoe; Koji Jimura; Takamitsu Watanabe; Osamu Abe; Kuni Ohtomo; Yasushi Miyashita; Seiki Konishi (NeuroImage, 2010)

Flow Analysis in Pipe of a Manifold Block. - Osamu Abe; Tetsuhiro Tsukiji; Takeshi Hara; Kazutoshi Yasunaga (Int. J. Autom. Technol., 2012)

Repeatability of Measured Brain Volume by Atlas-Based Method Using T1-Weighted Image. - Masami Goto; Tosiaki Miyati; Osamu Abe; Hidemasa Takao; Tomomi Kurosu; Naoto Hayashi; Shigeki Aoki; Harushi Mori; Akira Kunimatsu; Kenji Ino; Keiichi Yano; Kuni Ohtomo (J. Digit. Imaging, 2012)

Changes in cerebro-cerebellar interaction during response inhibition after performance improvement. - Satoshi Hirose; Koji Jimura; Akira Kunimatsu; Osamu Abe; Kuni Ohtomo; Yasushi Miyashita; Seiki Konishi (NeuroImage, 2014)

Managing Computer-Assisted Detection System Based on Transfer Learning with Negative Transfer Inhibition. - Issei Sato; Yukihiro Nomura; Shouhei Hanaoka; Soichiro Miki; Naoto Hayashi; Osamu Abe; Yoshitaka Masutani (KDD, 2018)

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)

Novel platform for development, training, and validation of computer-assisted detection/diagnosis software. - Yukihiro Nomura; Soichiro Miki; Naoto Hayashi; Shouhei Hanaoka; Issei Sato; Takeharu Yoshikawa; Yoshitaka Masutani; Osamu Abe (Int. J. Comput. Assist. Radiol. Surg., 2020)

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)

On the Matrix-Free Generation of Adversarial Perturbations for Black-Box Attacks. - Hisaichi Shibata; Shouhei Hanaoka; Yukihiro Nomura; 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)

Clinical Comparable Corpus Describing the Same Subjects with Different Expressions. - Yuta Nakamura; Shouhei Hanaoka; Yukihiro Nomura; Naoto Hayashi; Osamu Abe; Shunrato Yada; Shoko Wakamiya; Eiji Aramaki (MedInfo, 2021)

Extremely imbalanced subarachnoid hemorrhage detection based on DenseNet-LSTM network with class-balanced loss and transfer learning. - Zhongyang Lu; Masahiro Oda 001; Yuichiro Hayashi; Tao Hu 009; Hayato Itoh; Takeyuki Watadani; Osamu Abe; Masahiro Hashimoto; Masahiro Jinzaki; Kensaku Mori (Computer-Aided Diagnosis, 2021)

Adenocarcinoma in situ and minimally invasive adenocarcinoma in lungs of smokers: image feature differences from those in lungs of non-smokers. - Haruto Sugawara; Hirokazu Watanabe; Akira Kunimatsu; Osamu Abe; Shun-ichi Watanabe; Yasushi Yatabe; Masahiko Kusumoto (BMC Medical Imaging, 2021)

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)

KART: Privacy Leakage Framework of Language Models Pre-trained with Clinical Records. - Yuta Nakamura; Shouhei Hanaoka; Yukihiro Nomura; Naoto Hayashi; Osamu Abe; Shuntaro Yada; Shoko Wakamiya; Eiji Aramaki (CoRR, 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)

Cross-scanner reproducibility and harmonization of a diffusion MRI structural brain network: A traveling subject study of multi-b acquisition. - Ryo Kurokawa; Kouhei Kamiya; Shinsuke Koike; Moto Nakaya; Akiko Uematsu; Saori C. Tanaka; Koji Kamagata; Naohiro Okada; Kentaro Morita; Kiyoto Kasai; Osamu Abe (NeuroImage, 2021)

Aging prediction using deep generative model toward the development of preventive medicine. - Hisaichi Shibata; Shouhei Hanaoka; Yukihiro Nomura; Naoto Hayashi; Osamu Abe (CoRR, 2022)

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)

Reliability and sensitivity to altered hemodynamics measured with resting-state fMRI metrics: Comparison with 123I-IMP SPECT. - Shiori Amemiya; Hidemasa Takao; Yusuke Watanabe; Satoru Miyawaki; Satoshi Koizumi; Nobuhito Saito; Osamu Abe (NeuroImage, 2022)

Rigid real-time prospective motion-corrected three-dimensional multiparametric mapping of the human brain. - Shohei Fujita; Akifumi Hagiwara; Naoyuki Takei; Issei Fukunaga; Yasuhiro Hagiwara; Takashi Ogawa; Taku Hatano; Dan Rettmann; Suchandrima Banerjee; Ken-Pin Hwang; Shiori Amemiya; Koji Kamagata; et al. (NeuroImage, 2022)

Acceleration of knee magnetic resonance imaging using a combination of compressed sensing and commercially available deep learning reconstruction: a preliminary study. - Hiroyuki Akai; Koichiro Yasaka; Haruto Sugawara; Taku Tajima; Masaru Kamitani; Toshihiro Furuta; Masaaki Akahane; Naoki Yoshioka; Kuni Ohtomo; Osamu Abe; Shigeru Kiryu (BMC Medical Imaging, 2023)

Super-Efficient Lung Nodule Classification Using Massive-Training Artificial Neural Network (MTANN) Compact Model on LIDC-IDRI Database. - Shogo Kodera; Wahyu Rahmaniar; Hiroko Oshibe; Ze Jin; Takeyuki Watadani; Osamu Abe; Kenji Suzuki 001 (IVSP, 2024)

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)

Development of a Large-scale Dataset of Chest Computed Tomography Reports in Japanese and a High-performance Finding Classification Model. - Yosuke Yamagishi; Yuta Nakamura; Tomohiro Kikuchi; Yuki Sonoda; Hiroshi Hirakawa; Shintaro Kano; Satoshi Nakamura; Shouhei Hanaoka; 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)

ModernBERT is More Efficient than Conventional BERT for Chest CT Findings Classification in Japanese Radiology Reports. - Yosuke Yamagishi; Tomohiro Kikuchi; Shouhei Hanaoka; Takeharu Yoshikawa; Osamu Abe (CoRR, 2025)