Y. Nomura

发表

Machine Learning for Computer-aided Diagnosis.

Naoto Hayashi, Mitsutaka Nemoto, Shohei Hanaoka, 2016, Igaku butsuri : Nihon Igaku Butsuri Gakkai kikanshi = Japanese journal of medical physics : an official journal of Japan Society of Medical Physics.

Automated Segmentation Method for Spinal Column Based on a Dual Elliptic Column Model and Its Application for Virtual Spinal Straightening

Shouhei Hanaoka, Naoto Hayashi, Mitsutaka Nemoto, 2010, Journal of computer assisted tomography.

Periodic sea-level oscillation in Tokyo Bay detected with the Tokyo-Bay seafloor hyper-kilometric submarine deep detector (TS-HKMSDD)

H. Miyamoto, N. Okamoto, L. Oláh, 2022, Scientific reports.

Periodic sea-level oscillation in Tokyo Bay detected with the Tokyo-Bay seafloor hyper-kilometric submarine deep detector (TS-HKMSDD)

N. Hayashi, L. Thompson, H. Miyamoto, 2021, Scientific Reports.

Development and Validation of a Modified Three-Dimensional U-Net Deep-Learning Model for Automated Detection of Lung Nodules on Chest CT Images From the Lung Image Database Consortium and Japanese Datasets.

K. Kumamaru, Shigeki Aoki, Y. Otsuka, 2020, Academic radiology.

Imaging living mice using a 1‐T compact MRI system

K. Ohtomo, T. Haishi, T. Okubo, 2006, Journal of magnetic resonance imaging : JMRI.

Clinical usefulness of temporal subtraction CT in detecting vertebral bone metastases.

T. Masumoto, S. Hanaoka, Y. Nomura, 2019, European journal of radiology.

Effects of Iterative Reconstruction Algorithms on Computer-assisted Detection (CAD) Software for Lung Nodules in Ultra-low-dose CT for Lung Cancer Screening.

Toru Higaki, Kazuo Awai, Naoto Hayashi, 2017, Academic radiology.

Prospective Study of Spatial Distribution of Missed Lung Nodules by Readers in CT Lung Screening Using Computer-assisted Detection.

N. Hayashi, Y. Masutani, T. Yoshikawa, 2020, Academic radiology.

Inverse Correlation Between Calcium Accumulation and the Expansion Rate of Abdominal Aortic Aneurysms.

I. Komuro, N. Hayashi, T. Miyata, 2016, Circulation journal : official journal of the Japanese Circulation Society.

Anomaly detection in chest 18F-FDG PET/CT by Bayesian deep learning

N. Hayashi, S. Hanaoka, Y. Nomura, 2022, Japanese Journal of Radiology.

Effectiveness of temporal subtraction computed tomography images using deep learning in detecting vertebral bone metastases

T. Masumoto, S. Hanaoka, Y. Nomura, 2022, European Journal of Radiology.

Gadobenate dimeglumine as a contrast agent for MRI of the mouse liver

K. Ohtomo, Y. Nomura, A. Tojo, 2007, NMR in biomedicine.

Study of input voxel size on voxel-based classifier for lesion detection

Yoshitaka Masutani, Shouhei Hanaoka, Naoto Hayashi, 2011 .

Automated volume measurement of abdominal adipose tissue from entire abdominal cavity in Dixon MR images using deep learning

T. Yoshikawa, S. Hanaoka, M. Nemoto, 2022, Radiological Physics and Technology.

Pro-MMP-9 is associated with poor prognosis in gastric cancer

S. Kubota, Y. Nomura, H. Ishida, 2007, Scandinavian journal of gastroenterology.

Automatic detection of vertebral number abnormalities in body CT images

Yoshitaka Masutani, Akinobu Shimizu, Naoto Hayashi, 2017, International Journal of Computer Assisted Radiology and Surgery.

Local Differential Privacy Image Generation Using Flow-based Deep Generative Models

S. Hanaoka, Y. Nomura, Naoto Hayashi, 2022, ArXiv.

Clinical Machine Learning in Action: CAD System Design, Development, Tuning, and Long-Term Experience

Yoshitaka Masutani, Naoto Hayashi, Mitsutaka Nemoto, 2012 .

Versatile anomaly detection method for medical images with semi-supervised flow-based generative models

Issei Sato, Shouhei Hanaoka, Naoto Hayashi, 2021, International Journal of Computer Assisted Radiology and Surgery.

Pilot study of eruption forecasting with muography using convolutional neural network

N. Hayashi, Y. Masutani, T. Yoshikawa, 2020, Scientific Reports.

Development of Automatic Visceral Fat Volume Calculation Software for CT Volume Data

Shouhei Hanaoka, Naoto Hayashi, Mitsutaka Nemoto, 2014, Journal of obesity.

Landmark-guided diffeomorphic demons algorithm and its application to automatic segmentation of the whole spine and pelvis in CT images

Yoshitaka Masutani, Akinobu Shimizu, Naoto Hayashi, 2017, International Journal of Computer Assisted Radiology and Surgery.

Multichannel three-dimensional fully convolutional residual network-based focal liver lesion detection and classification in Gd-EOB-DTPA-enhanced MRI

Shouhei Hanaoka, Naoto Hayashi, Yukihiro Nomura, 2021, International Journal of Computer Assisted Radiology and Surgery.

First results of undersea muography with the Tokyo-Bay Seafloor Hyper-Kilometric Submarine Deep Detector

H. Miyamoto, L. Oláh, D. Varga, 2021, Scientific Reports.

Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers

Naoto Hayashi, Shohei Hanaoka, Yukihiro Nomura, 2021, BMC Medical Informatics and Decision Making.

Managing Computer-Assisted Detection System Based on Transfer Learning with Negative Transfer Inhibition

Yoshitaka Masutani, Issei Sato, Naoto Hayashi, 2018, KDD.

Unsupervised Deep Anomaly Detection in Chest Radiographs

Shouhei Hanaoka, Naoto Hayashi, Yukihiro Nomura, 2021, Journal of Digital Imaging.

Performance changes due to differences in training data for cerebral aneurysm detection in head MR angiography images

N. Hayashi, T. Yoshikawa, S. Hanaoka, 2021, Japanese Journal of Radiology.

Training Strategy for Performance Improvement in Computer-Assisted Detection of Lesions: Based on Multi-institutional Study in Teleradiology Environment

Yoshitaka Masutani, Naoto Hayashi, Mitsutaka Nemoto, 2013, 2013 First International Symposium on Computing and Networking.

Deep neural network‐based computer‐assisted detection of cerebral aneurysms in MR angiography

Osamu Abe, Issei Sato, Shouhei Hanaoka, 2018, Journal of magnetic resonance imaging : JMRI.

Characterization of Brain Volume Changes in Aging Individuals With Normal Cognition Using Serial Magnetic Resonance Imaging

H. Takao, T. Yoshikawa, S. Hanaoka, 2023, JAMA network open.

Computer-Assisted Detection of Cerebral Aneurysms in MR Angiography in a Routine Image-Reading Environment: Effects on Diagnosis by Radiologists

Y Masutani, N Hayashi, N. Hayashi, 2016, American Journal of Neuroradiology.

Computer-aided detection of cerebral aneurysms with magnetic resonance angiography: usefulness of volume rendering to display lesion candidates

N. Hayashi, T. Yoshikawa, S. Hanaoka, 2021, Japanese Journal of Radiology.

KART: Privacy Leakage Framework of Language Models Pre-trained with Clinical Records pdf

Osamu Abe, Shuntaro Yada, Yuta Nakamura, 2021, ArXiv.

Significance of FDG–PET standardized uptake values in predicting thyroid disease

T. Yoshikawa, S. Hanaoka, Y. Nomura, 2022, European thyroid journal.

Monitoring of disease progression by bioluminescence imaging and magnetic resonance imaging in an animal model of hematologic malignancy.

Yusuke Inoue, Yukihiro Nomura, Kuni Ohtomo, 2007, Experimental hematology.

X2CT-FLOW: Maximum a posteriori reconstruction using a progressive flow-based deep generative model for ultra sparse-view computed tomography in ultra low-dose protocols

Shouhei Hanaoka, Naoto Hayashi, Yukihiro Nomura, 2021, 2104.04179.

On the Simulation of Ultra-Sparse-View and Ultra-Low-Dose Computed Tomography with Maximum a Posteriori Reconstruction Using a Progressive Flow-Based Deep Generative Model

N. Hayashi, S. Hanaoka, Y. Nomura, 2022, Tomography.

Synthetic data generation method for hybrid image-tabular data using two generative adversarial networks

T. Yoshikawa, S. Hanaoka, Y. Nomura, 2023, ArXiv.

Automatic detection of over 100 anatomical landmarks in medical CT images: A framework with independent detectors and combinatorial optimization

Yoshitaka Masutani, Akinobu Shimizu, Naoto Hayashi, 2017, Medical Image Anal..

KART: Parameterization of Privacy Leakage Scenarios from Pre-trained Language Models

Eiji Aramaki The University of Tokyo, Nara Institute of Science, The Department of Radiology, 2020, 2101.00036.

Can the spherical gold standards be used as an alternative to painted gold standards for the computerized detection of lesions using voxel-based classification?

Osamu Abe, Shouhei Hanaoka, Naoto Hayashi, 2018, Japanese Journal of Radiology.

Aging prediction using deep generative model toward the development of preventive medicine

N. Hayashi, S. Hanaoka, Y. Nomura, 2022, ArXiv.

Preliminary study of generalized semiautomatic segmentation for 3D voxel labeling of lesions based on deep learning

Shouhei Hanaoka, Naoto Hayashi, Yukihiro Nomura, 2021, International Journal of Computer Assisted Radiology and Surgery.

Pilot study of eruption forecasting with muography using convolutional neural network

Osamu Abe, Shouhei Hanaoka, Mitsutaka Nemoto, 2020, Scientific Reports.

Novel platform for development, training, and validation of computer-assisted detection/diagnosis software

Osamu Abe, Issei Sato, Shouhei Hanaoka, 2020, International Journal of Computer Assisted Radiology and Surgery.

Anomaly detection in chest radiographs with a weakly supervised flow-based deep learning method pdf

Osamu Abe, Naoto Hayashi, Shohei Hanaoka, 2020, ArXiv.

A versatile anomaly detection method for medical images with a flow-based generative model in semi-supervision setting.

Department of Computer Science, Technology, The University of Tokyo Hospital, 2020 .

Development of training environment for deep learning with medical images on supercomputer system based on asynchronous parallel Bayesian optimization

Issei Sato, N. Hayashi, T. Yoshikawa, 2020, The Journal of Supercomputing.

Inverse Correlation Between Calcium Accumulation and the Expansion Rate of Abdominal Aortic Aneurysms.

I. Komuro, N. Hayashi, T. Miyata, 2016, Circulation journal : official journal of the Japanese Circulation Society.

KART: Parameterization of Privacy Leakage Scenarios from Pre-trained Language Models

Eiji Aramaki The University of Tokyo, Nara Institute of Science, The Department of Radiology, 2020, 2101.00036.

Evaluation of left ventricular function with cardiac magnetic resonance imaging using Fourier fitting.

K. Ohtomo, T. Okubo, Y. Nomura, 2006, Magnetic resonance imaging.

HoTPiG: a novel graph-based 3-D image feature set and its applications to computer-assisted detection of cerebral aneurysms and lung nodules

N. Hayashi, A. Shimizu, T. Yoshikawa, 2019, International Journal of Computer Assisted Radiology and Surgery.

On the Matrix-Free Generation of Adversarial Perturbations for Black-Box Attacks pdf

Osamu Abe, Shouhei Hanaoka, Yukihiro Nomura, 2020, ArXiv.

Method for Generating Synthetic Data Combining Chest Radiography Images with Tabular Clinical Information Using Dual Generative Models

T. Yoshikawa, S. Hanaoka, Y. Nomura, 2023, 2308.07573.

Reduction of false positives at vessel bifurcations in computerized detection of lung nodules

Yoshitaka Masutani, Shouhei Hanaoka, Naoto Hayashi, 2014 .

CIRCUS: an MDA Platform for Clinical Image Analysis in Hospitals

Yoshitaka Masutani, Naoto Hayashi, Mitsutaka Nemoto, 2010, Trans. Mass Data Anal. Images Signals.

Impact of CT-determined low kidney volume on renal function decline: a propensity score-matched analysis

T. Yoshikawa, S. Hanaoka, Y. Nomura, 2024, Insights into imaging.

Synthesis of Hybrid Data Consisting of Chest Radiographs and Tabular Clinical Records Using Dual Generative Models for COVID-19 Positive Cases.

T. Yoshikawa, S. Hanaoka, Y. Nomura, 2024, Journal of imaging informatics in medicine.