Author Info
Name
Affiliation
Papers
MITSUTAKA NEMOTO
Tokyo Univ Hosp, Dept Radiol, Tokyo, Japan
21
Collaborators
Citations 
PageRank 
39
46
8.42
Referers 
Referees 
References 
105
382
155
Search Limit
100382
Title
Citations
PageRank
Year
Four-dimensional fully convolutional residual network-based liver segmentation in Gd-EOB-DTPA-enhanced MRI.00.342019
Feasibility Study of a Generalized Framework for Developing Computer-Aided Detection Systems - a New Paradigm.10.362017
Automatic detection of vertebral number abnormalities in body CT images.00.342017
Automatic detection of over 100 anatomical landmarks in medical CT images: A framework with independent detectors and combinatorial optimization.40.402017
Landmark-guided diffeomorphic demons algorithm and its application to automatic segmentation of the whole spine and pelvis in CT images.10.352017
Lung lesion detection in FDG-PET/CT with Gaussian process regression.00.342017
A primitive study of voxel feature generation by multiple stacked denoising autoencoders for detecting cerebral aneurysms on MRA.00.342016
HoTPiG: A Novel Geometrical Feature for Vessel Morphometry and Its Application to Cerebral Aneurysm Detection10.342015
Coarse-to-fine localization of anatomical landmarks in CT images based on multi-scale local appearance and rotation-invariant spatial landmark distribution model00.342013
Post-processing of Anatomical Landmark Detection: Distance Error Reduction by Pictorial Structure Matching-Based Method10.362013
A Multiple Anatomical Landmark Detection System for Body CT Images20.382013
Training Strategy for Performance Improvement in Computer-Assisted Detection of Lesions: Based on Multi-institutional Study in Teleradiology Environment10.362013
Automatic categorization of anatomical landmark-local appearances based on diffeomorphic demons and spectral clustering for constructing detector ensembles.00.342012
Appearance Similarity Flow for Quantification of Anatomical Landmark Uncertainty in Medical Images.10.372012
A unified framework for concurrent detection of anatomical landmarks for medical image understanding100.682011
3-D graph cut segmentation with Riemannian metrics to avoid the shrinking problem.40.452011
Preliminary study on appearance-based detection of anatomical point landmarks in body trunk CT images00.342010
CIRCUS: an MDA Platform for Clinical Image Analysis in Hospitals10.362010
A pilot study of architectural distortion detection in mammograms based on characteristics of line shadows.130.782009
Improvement of tumor detection performance in mammograms by feature selection from a large number of features and proposal of fast feature selection method50.512006
Study on cascade classification in abnormal shadow detection for mammograms10.362006