Soichiro Miki
Orcid: 0000-0001-6365-6531
According to our database1,
Soichiro Miki
authored at least 24 papers
between 2010 and 2024.
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Bibliography
2024
Performance changes due to differences among annotating radiologists for training data in computerized lesion detection.
Int. J. Comput. Assist. Radiol. Surg., August, 2024
2023
CoRR, 2023
AIWolfDial 2023: Summary of Natural Language Division of 5th International AIWolf Contest.
Proceedings of the 16th International Natural Language Generation Conference, 2023
2021
Automatic detection of actionable radiology reports using bidirectional encoder representations from transformers.
BMC Medical Informatics Decis. Mak., 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
Preliminary study of generalized semiautomatic segmentation for 3D voxel labeling of lesions based on deep learning.
Int. J. Comput. Assist. Radiol. Surg., 2021
2020
Development of training environment for deep learning with medical images on supercomputer system based on asynchronous parallel Bayesian optimization.
J. Supercomput., 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
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
2010
Trans. Mass Data Anal. Images Signals, 2010