Preliminary Study on Appearance-Based Detection of Anatomical Point Landmarks in Body Trunk CT Images. - Mitsutaka Nemoto; Yukihiro Nomura; Shohei Hanaoka; Yoshitaka Masutani; Takeharu Yoshikawa; Naoto Hayashi; Naoki Yoshioka; Kuni Ohtomo (MLMI, 2010)

CIRCUS: an MDA Platform for Clinical Image Analysis in Hospitals. - Yukihiro Nomura; Naoto Hayashi; Yoshitaka Masutani; Takeharu Yoshikawa; Mitsutaka Nemoto; Shohei Hanaoka; Soichiro Miki; Eriko Maeda; Kuni Ohtomo (Trans. Mass Data Anal. Images Signals, 2010)

3-D Graph Cut Segmentation with Riemannian Metrics to Avoid the Shrinking Problem. - Shohei Hanaoka; Karl D. Fritscher; Martin Welk; Mitsutaka Nemoto; Yoshitaka Masutani; Naoto Hayashi; Kuni Ohtomo; Rainer Schubert (MICCAI (3), 2011)

Whole vertebral bone segmentation method with a statistical intensity-shape model based approach. - Shouhei Hanaoka; Karl D. Fritscher; Benedikt Schuler; Yoshitaka Masutani; Naoto Hayashi; Kuni Ohtomo; Rainer Schubert (Image Processing, 2011)

A unified framework for concurrent detection of anatomical landmarks for medical image understanding. - Mitsutaka Nemoto; Yoshitaka Masutani; Shouhei Hanaoka; Yukihiro Nomura; Takeharu Yoshikawa; Naoto Hayashi; Naoki Yoshioka; Kuni Ohtomo (Image Processing, 2011)

Effect of head size on diffusion tensor imaging. - Hidemasa Takao; Naoto Hayashi; Sachiko Inano; Kuni Ohtomo (NeuroImage, 2011)

Effect of scanner in asymmetry studies using diffusion tensor imaging. - Hidemasa Takao; Naoto Hayashi; Kuni Ohtomo (NeuroImage, 2011)

Appearance Similarity Flow for Quantification of Anatomical Landmark Uncertainty in Medical Images. - Yoshitaka Masutani; Mitsutaka Nemoto; Shohei Hanaoka; Naoto Hayashi; Kuni Ohtomo (ISVC (1), 2012)

Automatic Categorization of Anatomical Landmark-Local Appearances Based on Diffeomorphic Demons and Spectral Clustering for Constructing Detector Ensembles. - Shohei Hanaoka; Yoshitaka Masutani; Mitsutaka Nemoto; Yukihiro Nomura; Takeharu Yoshikawa; Naoto Hayashi; Kuni Ohtomo (MICCAI (2), 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)

A Multiple Anatomical Landmark Detection System for Body CT Images. - Shouhei Hanaoka; Yoshitaka Masutani; Mitsutaka Nemoto; Yukihiro Nomura; Soichiro Miki; Takeharu Yoshikawa; Naoto Hayashi; Kuni Ohtomo (CANDAR, 2013)

Post-processing of Anatomical Landmark Detection: Distance Error Reduction by Pictorial Structure Matching-Based Method. - Mitsutaka Nemoto; Yoshitaka Masutani; Shouhei Hanaoka; Yukihiro Nomura; Kuni Ohtomo; Soichiro Miki; Takeharu Yoshikawa; Naoto Hayashi (CANDAR, 2013)

Training Strategy for Performance Improvement in Computer-Assisted Detection of Lesions: Based on Multi-institutional Study in Teleradiology Environment. - Yukihiro Nomura; Yoshitaka Masutani; Soichiro Miki; Shouhei Hanaoka; Mitsutaka Nemoto; Takeharu Yoshikawa; Naoto Hayashi; Kuni Ohtomo (CANDAR, 2013)

Coarse-to-fine localization of anatomical landmarks in CT images based on multi-scale local appearance and rotation-invariant spatial landmark distribution model. - Mitsutaka Nemoto; Yoshitaka Masutani; Shouhei Hanaoka; Yukihiro Nomura; Soichiro Miki; Takeharu Yoshikawa; Naoto Hayashi; Kuni Ohtomo (Image Processing, 2013)

Effects of study design in multi-scanner voxel-based morphometry studies. - Hidemasa Takao; Naoto Hayashi; Kuni Ohtomo (NeuroImage, 2014)

HoTPiG: A Novel Geometrical Feature for Vessel Morphometry and Its Application to Cerebral Aneurysm Detection. - Shouhei Hanaoka; Yukihiro Nomura; Mitsutaka Nemoto; Soichiro Miki; Takeharu Yoshikawa; Naoto Hayashi; Kuni Ohtomo; Yoshitaka Masutani; Akinobu Shimizu (MICCAI (2), 2015)

A primitive study of voxel feature generation by multiple stacked denoising autoencoders for detecting cerebral aneurysms on MRA. - Mitsutaka Nemoto; Naoto Hayashi; Shouhei Hanaoka; Yukihiro Nomura; Soichiro Miki; Takeharu Yoshikawa; Kuni Ohtomo (Computer-Aided Diagnosis, 2016)

Lung lesion detection in FDG-PET/CT with Gaussian process regression. - Ryosuke Kamesawa; Issei Sato; Shouhei Hanaoka; Yukihiro Nomura; Mitsutaka Nemoto; Naoto Hayashi; Masashi Sugiyama (Computer-Aided Diagnosis, 2017)

Landmark-guided diffeomorphic demons algorithm and its application to automatic segmentation of the whole spine and pelvis in CT images. - Shouhei Hanaoka; Yoshitaka Masutani; Mitsutaka Nemoto; Yukihiro Nomura; Soichiro Miki; Takeharu Yoshikawa; Naoto Hayashi; Kuni Ohtomo; Akinobu Shimizu (Int. J. Comput. Assist. Radiol. Surg., 2017)

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)

Feasibility Study of a Generalized Framework for Developing Computer-Aided Detection Systems - a New Paradigm. - Mitsutaka Nemoto; Naoto Hayashi; Shouhei Hanaoka; Yukihiro Nomura; Soichiro Miki; Takeharu Yoshikawa (J. Digit. Imaging, 2017)

Automatic detection of over 100 anatomical landmarks in medical CT images: A framework with independent detectors and combinatorial optimization. - Shouhei Hanaoka; Akinobu Shimizu; Mitsutaka Nemoto; Yukihiro Nomura; Soichiro Miki; Takeharu Yoshikawa; Naoto Hayashi; Kuni Ohtomo; Yoshitaka Masutani (Medical Image Anal., 2017)

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)

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)

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)

Faster Convergence and Uncorrelated Gradients in Self-Supervised Online Continual Learning. - Koyo Imai; Naoto Hayashi; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ACCV (8), 2024)

Diverse Data Selection Considering Data Distribution for Unsupervised Continual Learning. - Naoto Hayashi; Naoki Okamoto; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (2): VISAPP, 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)