Yukihiro Nomura
Orcid: 0000-0001-6471-9936
According to our database1,
Yukihiro Nomura
authored at least 39 papers
between 2000 and 2024.
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Bibliography
2024
Breath Measurement Method for Synchronized Reproduction of Biological Tones in an Augmented Reality Auscultation Training System.
Sensors, March, 2024
Improved identification of tumors in 18F-FDG-PET examination by normalizing the standard uptake in the liver based on blood test data.
Int. J. Comput. Assist. Radiol. Surg., March, 2024
2023
Synthetic data generation method for hybrid image-tabular data using two generative adversarial networks.
CoRR, 2023
2022
CoRR, 2022
Aging prediction using deep generative model toward the development of preventive medicine.
CoRR, 2022
2021
Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers.
BMC Medical Informatics Decis. Mak., 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.
CoRR, 2021
KART: Privacy Leakage Framework of Language Models Pre-trained with Clinical Records.
CoRR, 2021
Multichannel three-dimensional fully convolutional residual network-based focal liver lesion detection and classification in Gd-EOB-DTPA-enhanced MRI.
Int. J. Comput. Assist. Radiol. Surg., 2021
Versatile anomaly detection method for medical images with semi-supervised flow-based generative models.
Int. J. Comput. Assist. Radiol. Surg., 2021
Preliminary study of generalized semiautomatic segmentation for 3D voxel labeling of lesions based on deep learning.
Int. J. Comput. Assist. Radiol. Surg., 2021
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021
2020
Development of training environment for deep learning with medical images on supercomputer system based on asynchronous parallel Bayesian optimization.
J. Supercomput., 2020
CoRR, 2020
Anomaly detection in chest radiographs with a weakly supervised flow-based deep learning method.
CoRR, 2020
Novel platform for development, training, and validation of computer-assisted detection/diagnosis software.
Int. J. Comput. Assist. Radiol. Surg., 2020
2019
Four-dimensional fully convolutional residual network-based liver segmentation in Gd-EOB-DTPA-enhanced MRI.
Int. J. Comput. Assist. Radiol. Surg., 2019
HoTPiG: a novel graph-based 3-D image feature set and its applications to computer-assisted detection of cerebral aneurysms and lung nodules.
Int. J. Comput. Assist. Radiol. Surg., 2019
2018
A primitive study on unsupervised anomaly detection with an autoencoder in emergency head CT volumes.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Managing Computer-Assisted Detection System Based on Transfer Learning with Negative Transfer Inhibition.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
2017
Automatic detection of over 100 anatomical landmarks in medical CT images: A framework with independent detectors and combinatorial optimization.
Medical Image Anal., 2017
Feasibility Study of a Generalized Framework for Developing Computer-Aided Detection Systems - a New Paradigm.
J. Digit. Imaging, 2017
Int. J. Comput. Assist. Radiol. Surg., 2017
Landmark-guided diffeomorphic demons algorithm and its application to automatic segmentation of the whole spine and pelvis in CT images.
Int. J. Comput. Assist. Radiol. Surg., 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
A primitive study of voxel feature generation by multiple stacked denoising autoencoders for detecting cerebral aneurysms on MRA.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016
2015
HoTPiG: A Novel Geometrical Feature for Vessel Morphometry and Its Application to Cerebral Aneurysm Detection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
2013
Coarse-to-fine localization of anatomical landmarks in CT images based on multi-scale local appearance and rotation-invariant spatial landmark distribution model.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Training Strategy for Performance Improvement in Computer-Assisted Detection of Lesions: Based on Multi-institutional Study in Teleradiology Environment.
Proceedings of the First International Symposium on Computing and Networking, 2013
Post-processing of Anatomical Landmark Detection: Distance Error Reduction by Pictorial Structure Matching-Based Method.
Proceedings of the First International Symposium on Computing and Networking, 2013
Proceedings of the First International Symposium on Computing and Networking, 2013
2012
Automatic Categorization of Anatomical Landmark-Local Appearances Based on Diffeomorphic Demons and Spectral Clustering for Constructing Detector Ensembles.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012
2011
A unified framework for concurrent detection of anatomical landmarks for medical image understanding.
Proceedings of the Medical Imaging 2011: Image Processing, 2011
2010
Trans. Mass Data Anal. Images Signals, 2010
Preliminary Study on Appearance-Based Detection of Anatomical Point Landmarks in Body Trunk CT Images.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010
2006
Blind dereverberation using correlation coefficients considering periodicity of voiced speech.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006
2004
A new method of second-order parallel adaptive Volterra filter.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004
2000
Correction, Optimization and Verification of Transition Rule Set for Waksman's Firing Squad Synchronization Algorithm.
Proceedings of the Theoretical and Practical Issues on Cellular Automata, 2000