Name
Affiliation
Papers
RYOHEI NAKAYAMA
Mie Univ, Sch Med, Dept Radiol, Tsu, Mie 5148507, Japan
13
Collaborators
Citations 
PageRank 
36
14
4.80
Referers 
Referees 
References 
46
116
39
Search Limit
100116
Title
Citations
PageRank
Year
Computer-Aided Diagnosis Scheme For Distinguishing Between Benign And Malignant Masses On Breast Dce-Mri Images Using Deep Convolutional Neural Network With Bayesian Optimization20.362021
Improving Image Resolution of Whole-Heart Coronary MRA Using Convolutional Neural Network.00.342020
Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses in Breast DCE-MRI30.392016
Potential Usefulness of Presentation of Histological Classifications with Computer-Aided Diagnosis (CAD) Scheme in Differential Diagnosis of Clustered Microcalcifications on Mammograms.00.342014
Computerized determination scheme for histological classification of breast mass using objective features corresponding to clinicians' subjective impressions on ultrasonographic images.10.342013
Computer-aided detection scheme for sentinel lymph nodes in lymphoscintigrams using symmetrical property around mapped injection point.00.342012
Computerized classification method for histological classifications of masses using objective features based on clinicians' subjective impressions00.342012
Computerized segmentation method for individual calcifications within clustered microcalcifications while maintaining their shapes on magnification mammograms.20.452012
Evaluation of objective similarity measures for selecting similar images of mammographic lesions.50.472011
Potential usefulness of multiple-mammographic views in computer-aided diagnosis scheme for identifying histological classification of clustered microcalcification00.342006
Development of new filter bank for detection of nodular patterns and linear patterns in medical images10.432005
Detection of clustered microcalcifications on mammograms using new filter bank00.342005
A Pathway From Web To Telephone To Save Patients In Emergency Transfer, Applied To A Long-Term-Care System For High-Risk Pregnancy In Mie Prefecture00.342001