Researcher Database

NAKAYAMA RYOHEI

Department / Course College of Science and Engineering Department of Electronic and Computer Engineering

Title / Position Professor

Papers
1.	2024/03	Computerized Segmentation Method for Nonmasses on Breast DCE-MRI Images Using ResUNet++ with Slice Sequence Learning and Cross-Phase Convolution │ J Imaging Inform Med. │ Online ahead of print. (Co-authored)
2.	2023/12	Potential Usefulness a Coronal View using an Automated Breast Ultrasound System in Detecting Breast Lesions │ Eur J Breast Health │ 20 (1),pp.57-63 (Co-authored)
3.	2022/08	Pseudocontinuous Arterial Spin Labeling: Clinical Applications and Usefulness in Head and Neck Entities │ Cancers │ 14 (16),pp.1-17 (Co-authored)
4.	2022/06	Computerized Classification Method for 1p/19q Codeletion in Low Grade Gliomas from Brain MRI Images Using Three Dimensional Radiomics Features │ Journal of the Institute of Image Electronics Engineers of Japan (IIEEJ) │ 10(1),pp.120-126 (Co-authored)
5.	2022/05	Tooth Detection for Each Tooth Type by Application of Faster R-CNNs to Divided Analysis Areas of Dental Panoramic X-ray Images Radiological Physics and Technology │ Radiological Physics and Technology │ 15,pp.170-176 (Co-authored)
6.	2022/04	Semiautomated Segmentation and Volume Measurements of Cervical Carotid High-Signal Plaques Using 3D Turbo Spin-Echo T1-Weighted Black-Blood Vessel Wall Imaging: A Preliminary Study │ Diagnostics │ 12 (4) (Co-authored)
7.	2022/04	Tumor blood flow and apparent diffusion coefficient histogram analysis for differentiating malignant salivary tumors from pleomorphic adenomas and Warthin’s tumors │ Scientific Reports │ 12,pp.1-10 (Co-authored)
8.	2022/01	A novel strategy to develop deep learning for image super-resolution using original ultra-high-resolution computed tomography images of lung as training dataset. │ Jpn J Radiol │ 40 (1),pp.38-47 (Co-authored)
9.	2021/03	Segmentation of Teeth in Panoramic Dental X-ray Images Using U-Net with a Loss Function Weighted on the Tooth Edge. │ Radiological Physics and Technology │ 14 (1),pp.64-69 (Co-authored)
10.	2021/02	Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses on Breast DCE-MRI Images Using Deep Convolutional Neural Network with Bayesian Optimization │ Journal of Digital Imaging │ 34 (1),pp.116-123 (Co-authored)
11.	2021/01	Diagnostic performance of coronal view in comparison with transverse view of three-dimensional automated breast ultrasound. │ Acta Radiol. │ 62 (1),pp.27-33 (Co-authored)
12.	2021/01	Evaluation of placental oxygenation index using blood oxygen level-dependent magnetic resonance imaging (BOLD-MRI) during normal late pregnancy │ J Matern Fetal Neonatal Med │ ,pp.1-13 (Co-authored)
13.	2020/04	Improving Image Resolution of Whole-Heart Coronary MRA Using Convolutional Neural Network. │ Journal of Digital Imaging. │ 33 (2),pp.497-503 (Co-authored)
14.	2020/03	Usefulness of dictionary learning-based processing for improving image quality of sub-millisievert low-dose chest CT: initial experience. │ Jpn J Radiol. │ 38 (3),pp.215-221 (Co-authored)
15.	2019/03	Computerized evaluation scheme to detect metastasis in sentinel lymph nodes using contrast-enhanced computed tomography before breast cancer surgery. │ Radiological Physics and Technology │ 12,pp.55–60 (Co-authored)
16.	2018/07	Computer-Aided Diagnosis Scheme for Determining Histological Classification of Breast Lesions on Ultrasonographic Images Using Convolutional Neural Network. │ Diagnostics │ 25 (8),pp.1-9 (Co-authored)
17.	2017/04	Segmentation Method of Breast Masses on Ultrasonographic Images Using Level Set Method Based on Statistical Model │ Journal of Biomedical Science and Engineering │ 10,pp.149-162 (Co-authored)
18.	2016/08	Respiratory-gated time-of-flight PET/CT during whole-body scan for lung lesions: feasibility in a routine clinical setting and quantitative analysis. │ Annals of Nuclear Medicine │ 30,pp.722-730 (Co-authored)
19.	2016/07	Computerized Scheme for Histological Classification of Masses with Architectural Distortions in Ultrasonographic Images │ Journal of Biomedical Science and Engineering │ 9,pp.399-409 (Co-authored)
20.	2016/07	The usefulness of a computer-aided diagnosis scheme for improving the performance of clinicians to diagnose non-mass lesions on breast ultrasonographic images. │ Journal of Medical Ultrasonics │ 43,pp.387-394 (Co-authored)
21.	2016/06	Computer-Aided Diagnosis Scheme for Distinguishing Between Benign and Malignant Masses in Breast DCE-MRI. │ Journal of Digital Imaging. │ 29,pp.388-393 (Co-authored)
22.	2016/06	Underestimation of myocardial blood flow by dynamic perfusion CT: Explanations by two-compartment model analysis and limited temporal sampling of dynamic CT. │ J Cardiovasc Comput Tomogr │ 10,pp.207-214 (Co-authored)
23.	2014/06	Potential usefulness of presentation of histological classifications with computer-aided diagnosis (CAD) scheme in differential diagnosis of clustered microcalcifications on mammograms. │ Breast Imaging, Lecture Notes in Computer Science. │ 8539,pp.115-120 (Co-authored)
24.	2013/10	Computerized Determination Scheme for Histological Classification of Breast Mass Using Objective Features Corresponding to Clinicians' Subjective Impressions on Ultrasonographic Images. │ Journal of Digital Imaging. │ 26,pp.958-970 (Co-authored)
25.	2013/04	Improved Differential Diagnosis of Breast Masses on Ultrasonographic Images with a Computer-aided Diagnosis Scheme for Determining Histological Classifications. │ Academic Radiology. │ 20,pp.471-477 (Co-authored)
26.	2012/06	Computerized Segmentation Method for Individual Calcifications within Clustered Microcalcifications while Maintaining Their Shapes on Magnification Mammograms. │ Journal of Digital Imaging. │ 25,pp.377-386 (Co-authored)
27.	2012/02	Computer-aided Detection Scheme for Sentinel Lymph Nodes in Lymphoscintigrams Using Symmetrical Property around Mapped Injection Point. │ Journal of Digital Imaging. │ 25,pp.148-154 (Co-authored)
28.	2011/02	Evaluation of Objective Similarity Measures for Selecting Similar Images of Mammographic Lesions. │ Journal of Digital Imaging. │ 24,pp.75-85 (Co-authored)
29.	2009/12	Potential Usefulness of Similar Images in the Differential Diagnosis of Clustered Microcalcifications on Mammograms. │ Radiology. │ 253,pp.625-631 (Co-authored)
30.	2007/12	An Improved Computer-Aided Diagnosis Scheme Using the Nearest Neighbour Criterion for Determining Histological Classification of Clustered Microcalcifications. │ Methods of Information in Medicine. │ 46,pp.716-722 (Co-authored)
31.	2006/10	Computer-aided Diagnosis Scheme for Identifying Histological Classification of Clustered Microcalcifications by use of Follow-up Magnification Mammograms. │ Academic Radiology. │ 13,pp.1219-1228 (Co-authored)
32.	2006/06	Potential Usefulness of Multiple-Mammographic Views in Computer-aided Diagnosis Scheme for Identifying Histological Classification of Clustered Microcalcification. │ Digital Mammography, Lecture Notes in Computer Science. │ 4046,pp.229-236 (Co-authored)
33.	2006/02	Computer-aided Diagnosis Scheme using a Filter Bank for Detection of Microcalcification Clusters in Mammograms. │ IEEE Transactions on Biomedical Engineering. │ 53,pp.273-283 (Co-authored)
34.	2004/04	Computer-aided Diagnosis Scheme for histological Classification of Clustered Microcalcifications on Magnification Mammograms. │ Medical Physics. │ 31,pp.789-799 (Co-authored)
35.	1999/11	Discrimination of malignant and benign micro-calcification clusters on mammograms. │ コンピュータ支援画像診断学会論文誌 │ 3,pp.17-23 (Co-authored)