Mitsutaka Nemoto
Orcid: 0000-0003-4229-5823
According to our database1,
Mitsutaka Nemoto
authored at least 23 papers
between 2006 and 2021.
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Bibliography
2021
Machine Learning-Based Diagnosis in Laser Resonance Frequency Analysis for Implant Stability of Orthopedic Pedicle Screws.
Sensors, 2021
How to select training data to segment mammary gland region using a deep-learning approach for reliable individualized screening mammography.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
2019
Four-dimensional fully convolutional residual network-based liver segmentation in Gd-EOB-DTPA-enhanced MRI.
Int. J. Comput. Assist. Radiol. Surg., 2019
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
Appearance Similarity Flow for Quantification of Anatomical Landmark Uncertainty in Medical Images.
Proceedings of the Advances in Visual Computing - 8th International Symposium, 2012
2011
A unified framework for concurrent detection of anatomical landmarks for medical image understanding.
Proceedings of the Medical Imaging 2011: Image Processing, 2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 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
2009
A pilot study of architectural distortion detection in mammograms based on characteristics of line shadows.
Int. J. Comput. Assist. Radiol. Surg., 2009
2006
Improvement of tumor detection performance in mammograms by feature selection from a large number of features and proposal of fast feature selection method.
Syst. Comput. Jpn., 2006
Proceedings of the Digital Mammography, 2006